Publications by category
Books
Morrissey K (2017).
Economics of the Marine Modelling Natural Resources., Rowman & Littlefield International.
Abstract:
Economics of the Marine Modelling Natural Resources
Abstract.
Ballas D, Clarke G, Hynes S, Morrissey K, O’Donoghue C (2013).
Introduction.Abstract:
Introduction
Abstract.
O'Donoghue C, Ballas D, Clarke G, Hynes S, Morrissey K (2012).
Spatial Microsimulation for Rural Policy Analysis., Springer Science & Business Media.
Abstract:
Spatial Microsimulation for Rural Policy Analysis
Abstract.
Journal articles
Gustavsson M, Morrissey K (In Press). A typology of different perspectives on the spatial economic impacts of Marine Spatial Planning.
Journal of Environmental Policy and Planning Full text.
Knight PJ, Prime T, M. Brown J, Morrissey K, Plater AJ (In Press). Application of flood risk modelling in a web-based geospatial decision support tool for coastal adaptation to climate change.
Abstract:
Application of flood risk modelling in a web-based geospatial decision support tool for coastal adaptation to climate change
Abstract. A pressing problem facing coastal decision makers is the conversion of "high level" but plausible climate change assessments into an effective basis for climate change adaptation at the local scale. Here, we describe a web-based, geospatial decision-support tool (DST) that provides an assessment of the potential flood risk for populated coastal lowlands arising from future sea-level rise, coastal storms and high river flows. This DST has been developed to support operational and strategic decision making by enabling the user to explore the flood hazard from extreme events, changes in the extent of the flood-prone areas with sea-level rise, and thresholds of sea-level rise where current policy and resource options are no longer viable. The DST is built in an open source GIS that uses freely available geospatial data. Flood risk assessments from a combination of LISFLOOD-FP and SWAB models are embedded within the tool; the user interface enables interrogation of different combinations of coastal and river events under rising sea-level scenarios. Users can readily vary the input parameters (sea level, storms, wave height and river flow) relative to the present-day topography and infrastructure to identify combinations where significant regime shifts or "tipping points" occur. Two case studies are used to demonstrate the attributes of the DST with respect to the wider coastal community and the UK energy sector. Examples report on the assets at risk and illustrate the extent of flooding in relation to infrastructure access. This informs an economic assessment of potential losses due to climate change and thus provides local authorities and energy operators with essential information on the feasibility of investment for building resilience into vulnerable components of their area of responsibility.
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Abstract.
Full text.
Morrissey KM (In Press). Comorbidity and healthcare use for individuals with CVD in the Ireland: a cross-sectional, population-based study.
BMJ Open Full text.
Williams AJ, Menneer T, Sidana M, Walker T, Maguire K, Mueller M, Paterson C, Leyshon M, Leyshon C, Seymour E, et al (In Press). Fostering Engagement with Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort (Preprint).
Abstract:
Fostering Engagement with Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort (Preprint)
. BACKGROUND
. Personas, based on customer or population data, are widely used to inform design decisions in the commercial sector. The variety of methods available means that personas can be produced from projects of different types and scale.
.
.
. OBJECTIVE
. This study aims to experiment with the use of personas that bring together data from a survey, household air measurements and electricity usage sensors, and an interview within a research and innovation project, with the aim of supporting eHealth and eWell-being product, process, and service development through broadening the engagement with and understanding of the data about the local community.
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. METHODS
. The project participants were social housing residents (adults only) living in central Cornwall, a rural unitary authority in the United Kingdom. A total of 329 households were recruited between September 2017 and November 2018, with 235 (71.4%) providing complete baseline survey data on demographics, socioeconomic position, household composition, home environment, technology ownership, pet ownership, smoking, social cohesion, volunteering, caring, mental well-being, physical and mental health–related quality of life, and activity. K-prototype cluster analysis was used to identify 8 clusters among the baseline survey responses. The sensor and interview data were subsequently analyzed by cluster and the insights from all 3 data sources were brought together to produce the personas, known as the Smartline Archetypes.
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.
. RESULTS
. The Smartline Archetypes proved to be an engaging way of presenting data, accessible to a broader group of stakeholders than those who accessed the raw anonymized data, thereby providing a vehicle for greater research engagement, innovation, and impact.
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.
. CONCLUSIONS
. Through the adoption of a tool widely used in practice, research projects could generate greater policy and practical impact, while also becoming more transparent and open to the public.
.
Abstract.
Morrissey KM, Taylor T, Sharpe R, Fleming L, Morris G, Wigglesworth R (In Press). Making the Case for “Whole System” Approaches Integrating Public Health and Housing.
International Journal of Environmental Research and Public Health,
15, 2345-2345.
Full text.
Menneer T, Qi Z, Taylor T, Paterson C, Tu G, Elliott LR, Morrissey K, Mueller M (2021). Changes in Domestic Energy and Water Usage during the UK COVID-19 Lockdown Using High-Resolution Temporal Data.
International Journal of Environmental Research and Public Health,
18(13), 6818-6818.
Abstract:
Changes in Domestic Energy and Water Usage during the UK COVID-19 Lockdown Using High-Resolution Temporal Data
In response to the COVID-19 outbreak, the UK Government provided public health advice to stay at home from 16 March 2020, followed by instruction to stay at home (full lockdown) from 24 March 2020. We use data with high temporal resolution from utility sensors installed in 280 homes across social housing in Cornwall, UK, to test for changes in domestic electricity, gas and water usage in response to government guidance. Gas usage increased by 20% following advice to stay at home, the week before full lockdown, although no difference was seen during full lockdown itself. During full lockdown, morning electricity usage shifted to later in the day, decreasing at 6 a.m. and increasing at midday. These changes in energy were echoed in water usage, with a 17% increase and a one-hour delay in peak morning usage. Changes were consistent with people getting up later, spending more time at home and washing more during full lockdown. Evidence for these changes was also observed in later lockdowns, but not between lockdowns. Our findings suggest more compliance with an enforced stay-at-home message than with advice. We discuss implications for socioeconomically disadvantaged households given the indication of inability to achieve increased energy needs during the pandemic.
Abstract.
Full text.
Williams AJ, Menneer T, Sidana M, Walker T, Maguire K, Mueller M, Paterson C, Leyshon M, Leyshon C, Seymour E, et al (2021). Fostering Engagement with Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort.
JMIR Public Health and Surveillance,
7(2), e25037-e25037.
Abstract:
Fostering Engagement with Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort
. Background
. Personas, based on customer or population data, are widely used to inform design decisions in the commercial sector. The variety of methods available means that personas can be produced from projects of different types and scale.
.
.
. Objective
. This study aims to experiment with the use of personas that bring together data from a survey, household air measurements and electricity usage sensors, and an interview within a research and innovation project, with the aim of supporting eHealth and eWell-being product, process, and service development through broadening the engagement with and understanding of the data about the local community.
.
.
. Methods
. The project participants were social housing residents (adults only) living in central Cornwall, a rural unitary authority in the United Kingdom. A total of 329 households were recruited between September 2017 and November 2018, with 235 (71.4%) providing complete baseline survey data on demographics, socioeconomic position, household composition, home environment, technology ownership, pet ownership, smoking, social cohesion, volunteering, caring, mental well-being, physical and mental health–related quality of life, and activity. K-prototype cluster analysis was used to identify 8 clusters among the baseline survey responses. The sensor and interview data were subsequently analyzed by cluster and the insights from all 3 data sources were brought together to produce the personas, known as the Smartline Archetypes.
.
.
. Results
. The Smartline Archetypes proved to be an engaging way of presenting data, accessible to a broader group of stakeholders than those who accessed the raw anonymized data, thereby providing a vehicle for greater research engagement, innovation, and impact.
.
.
. Conclusions
. Through the adoption of a tool widely used in practice, research projects could generate greater policy and practical impact, while also becoming more transparent and open to the public.
.
Abstract.
Full text.
Hu X, Davies R, Morrissey K, Smith R, Fleming LE, Sharmina M, St. Clair R, Hopkinson P (2021). Single-use plastic and COVID-19 in the NHS: Barriers and opportunities.
Journal of Public Health ResearchAbstract:
Single-use plastic and COVID-19 in the NHS: Barriers and opportunities
Background: Single-use personal protective equipment (PPE) has been essential to protect healthcare workers during the COVID-19 pandemic. However, intensified use of PPE could counteract the previous efforts made by the UK NHS Trusts to reduce their plastic footprint. Design and methods: in this study, we conducted an in-depth case study in the Royal Cornwall Hospitals NHS Trust to investigate plastic-related issues in a typical NHS Trust before, during and after the pandemic. We first collected hospital routine data on both procurement and usage of single-use PPE (including face masks, aprons, and gowns) for the time period between April 2019 and August 2020. We then interviewed 12 hospital staff across a wide remit, from senior managers to consultants, nurses and catering staff, to gather qualitative evidence on the overall impact of COVID-19 on the Trust regarding plastic use.Results: We found that although COVID-19 had increased the procurement and the use of single-use plastic substantially during the pandemic, it did not appear to have changed the focus of the hospital on implementing measures to reduce single-use plastic in the long term. We then discussed the barriers and opportunities to tackle plastic issues within the NHS in the post-COVID world, for example, a circular healthcare model.Conclusion: investment is needed in technologies and processes that can recycle and reuse a wider range of single-use plastics, and innovate sustainable alternatives to replace single-use consumables used in the NHS to construct a fully operational closed material loop healthcare system.
Abstract.
Morrissey K, Chung I, Morse A, Parthasarath S, Roebuck M, Tan M, Wood A, Wong P-F, Frostick S (2021). The Effects of Air Quality on Hospital Admissions for Chronic Respiratory Diseases in Petaling Jaya, Malaysia, 2013–2015.
Atmosphere,
12(8), 1060-1060.
Abstract:
The Effects of Air Quality on Hospital Admissions for Chronic Respiratory Diseases in Petaling Jaya, Malaysia, 2013–2015
This study assesses the impact of a decrease in air quality and the risk of hospital admissions to a public hospital for chronic respiratory diseases for residents of Petaling Jaya, a city in the Greater Kuala Lumpur area in Malaysia. Data on hospital admissions for asthma, bronchitis, emphysema and other chronic obstructive pulmonary disease, weather conditions and the Malaysian Air Pollution Index, a composite indicator of air quality, were collated. An unconstrained distributed lag model to obtain risk of hospitalization for a 10 μg/m3 increase in the API. The lag cumulative effect for a 10 μg/m3 increase in the API was calculated to test for harvesting in the short term. Findings indicate that after an initial decrease in admissions (days 3 and 4), admissions increased again at day 7 and 8 and this relationship was significant. We therefore conclude that a 10 μg/m3 increase has a greater effect on admissions for respiratory health in the short term than a harvesting effect alone would suggest. These results suggest that while air quality is improving in the Greater Kuala Lumpur area, no level of air pollution can be deemed safe.
Abstract.
Morrissey K (2020). Big Data and its potential role in regional growth: evidence from Great Britain. Spatial Economic Analysis, 15(4), 494-504.
Winther J-G, Dai M, Rist T, Hoel AH, Li Y, Trice A, Morrissey K, Juinio-Meñez MA, Fernandes L, Unger S, et al (2020). Integrated ocean management for a sustainable ocean economy. Nature Ecology & Evolution, 4(11), 1451-1458.
Morrissey K (2019). Aligning Ocean Plastic Pollution and Human Health a Co-benefits Approach. Journal of Ocean and Coastal Economics, 6(1).
Kinay P, Morse AP, Villanueva EV, Morrissey K, Staddon PL (2019). Direct and indirect health impacts of climate change on the vulnerable elderly population in East China.
ENVIRONMENTAL REVIEWS,
27(3), 295-303.
Author URL.
Morrissey KM, Burthoo-Barah SB, Dawoonauth M, Scandizzo PL (2019). Exploring the distributional impact of investment in the port sector on households in Mauritius: a social accounting matrix approach.
Marine Policy,
99, 324-333.
Full text.
Moses L, Morrissey K, Sharpe RA, Taylor T (2019). Exposure to Indoor Mouldy Odour Increases the Risk of Asthma in Older Adults Living in Social Housing.
Int J Environ Res Public Health,
16(14).
Abstract:
Exposure to Indoor Mouldy Odour Increases the Risk of Asthma in Older Adults Living in Social Housing.
Background: Indoor dampness is thought to affect around 16% of European homes. It is generally accepted that increased exposure to indoor dampness and mould contamination (e.g. spores and hyphae) increases the risk of developing and/or exacerbating asthma. Around 30% of people in the Western world have an allergic disease (e.g. allergy, wheeze and asthma). The role of indoor mould contamination in the risk of allergic diseases in older adults is yet to be fully explored. This is of interest because older people spend more time indoors, as well as facing health issues due to the ageing process, and may be at greater risk of developing and/or exacerbating asthma as a result of indoor dampness. Methods: Face-to-face questionnaires were carried out with 302 participants residing in social housing properties located in South West England. Self-reported demographic, mould contamination (i.e. presence of mould growth and mouldy odour) and health information was linked with the asset management records (e.g. building type, age and levels of maintenance). Multivariate logistic regression was used to calculate the odd ratios and confidence intervals of developing and/or exacerbating asthma, wheeze and allergy with exposure to reported indoor mould contamination. We adjusted for a range of factors that may affect asthma outcomes, which include age, sex, current smoking, presence of pets, education, and building type and age. To assess the role of mould contamination in older adults, we compared younger adults to those aged over 50 years. Results: Doctor-diagnosed adult asthma was reported by 26% of respondents, 34% had current wheeze while 18% had allergies. Asthma was common among subjects exposed to reported visible mould (32%) and reported mouldy odour (42%). Exposure to visible mould growth and mouldy odour were risk factors for asthma, but not for wheeze or allergy. Exposure to mouldy odour increased the risk of asthma in adults over the age of 50 years (odds ratio (OR) 2.4, 95% confidence interval (CI) 1.10-5.34) and the risk was higher for females than for males (OR 3.5, 95% CI 1.37-9.08). These associations were modified by a range of built environment characteristics. Conclusions: We found that older adults living in social (public) housing properties, specifically women, may be at higher risk of asthma when exposed to mouldy odour, which has a number of implications for policy makers and practitioners working in the health and housing sector. Additional measures should be put in place to protect older people living in social housing against indoor damp and mould contamination.
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Author URL.
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Buckingham S, Williams A, Morrissey K, Price L, Harrison J (2019). Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: a systematic review.
Digital Health,
5Abstract:
Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: a systematic review
Objective
This systematic review aimed to assess the effectiveness, feasibility and acceptability of mobile health (mHealth) technology (including wearable activity monitors and smartphone applications) for promoting physical activity (PA) and reducing sedentary behaviour (SB) in workplace settings.
Methods
Systematic searches were conducted in seven electronic databases (MEDLINE, SPORTDiscus, Scopus, EMBASE, PsycINFO, Web of Science and the Cochrane library). Studies were included if mHealth was a major intervention component, PA/SB was a primary outcome, and participants were recruited and/or the intervention was delivered in the workplace. Study quality was assessed using the Effective Public Health Practice Project (EPHPP) tool. Interventions were coded for behaviour change techniques (BCTs) using the Coventry, Aberdeen and London – Refined (CALO-RE) taxonomy.
Results
Twenty-five experimental and quasi-experimental studies were included. Studies were highly heterogeneous and only one was rated as ‘strong’ methodological quality. Common BCTs included self-monitoring, feedback, goal-setting and social comparison. A total of 14/25 (56%) studies reported a significant increase in PA, and 4/10 (40%) reported a significant reduction in sedentary time; 11/16 (69%) studies reported a significant impact on secondary outcomes including reductions in weight, systolic blood pressure and total cholesterol. While overall acceptability was high, a large decline in technology use and engagement was observed over time.
Conclusions
While methodological quality was generally weak, there is reasonable evidence for mHealth in a workplace context as a feasible, acceptable and effective tool to promote PA. The impact in the longer term and on SB is less clear. Higher quality, mixed methods studies are needed to explore the reasons for decline in engagement with time and the longer-term potential of mHealth in workplace interventions.
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Singer L, Green M, Rowe F, Ben-Shlomo Y, Morrissey K (2019). Social determinants of multimorbidity and multiple functional limitations among the ageing population of England, 2002-2015.
SSM Popul Health,
8Abstract:
Social determinants of multimorbidity and multiple functional limitations among the ageing population of England, 2002-2015.
This study explores longitudinal relationships between material, psycho-social and behavioural social determinants of health and multimorbidity of people aged 50 years or older in England. We used data from the English Longitudinal Study of Ageing collected biannually between 2002 and 2015. Apart from the basic measure of multimorbidity (two or more diseases within a person) we constructed two distinct measures of health in order to take into account the biology of ageing (complex multimorbidity and multiple functional limitations). We found that the likelihood of multimorbidity and multiple functional limitations was consistently associated with the levels of household wealth, sense of control over one's life, physical activity and loneliness. Larger health inequalities were observed when health was measured as complex multimorbidity and multiple functional limitations than basic multimorbidity. Compared to the population group with the highest wealth, those with the lowest wealth had 47% higher odds of basic multimorbidity (95% C.I. 1.34-1.61), 73% higher odds of complex multimorbidity (95% C.I. 1.52-1.96) and 90% higher odds of having 10 or more functional limitations (95% C.I. 1.59-2.26). We did not find a dose-response relationship between alcohol consumption, smoking and multimorbidity but rather evidence of people in ill health actively moderating their health behaviour. We suggest that materialist models of multimorbidity and functional limitation at older age can not, on their own, explain the health inequalities as the behavioural and psycho-social factors play an important role. Policies aiming to reduce the risk of multimorbidity and functional limitation should address the issue at these three levels simultaneously, using the existing national infrastructure of General Practices.
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Author URL.
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Watts N, Amann M, Arnell N, Ayeb-Karlsson S, Belesova K, Boykoff M, Byass P, Cai W, Campbell-Lendrum D, Capstick S, et al (2019). The 2019 report of the Lancet Countdown on health and climate change: ensuring that the health of a child born today is not defined by a changing climate.
The Lancet,
394(10211), 1836-1878.
Full text.
Singer L, Green M, Rowe F, Ben-Shlomo Y, Kulu H, Morrissey K (2019). Trends in multimorbidity, complex multimorbidity and multiple functional limitations in the ageing population of England, 2002–2015.
Journal of Comorbidity,
9, 2235042X1987203-2235042X1987203.
Abstract:
Trends in multimorbidity, complex multimorbidity and multiple functional limitations in the ageing population of England, 2002–2015
This study aimed to estimate the prevalence of three measures of multimorbidity among people aged 50 years or older in England. Beside the basic measure of two or more diseases within a person, we added a measure of three or more affected body systems (complex multimorbidity) and a measure of 10 or more functional limitations. We found that the three health outcomes became more prevalent between 2002 and 2015. They were more common among females than males and were becoming more common among younger age groups. While in 2002, the prevalence of basic multimorbidity overcame 50% from the 70–74 age group upwards, in 2015 it crossed the same threshold in the 65–69 age group. The distribution of multimorbidity and multiple functional limitations were stratified by the amount of household wealth. Multiple functional limitations reflected the largest differences between the most and the least affluent groups (5.9-fold in 2014/2015), followed by the measure of complex multimorbidity (2.8-fold in 2014/2015) and basic multimorbidity (1.9-fold) in 2014/2015.While age acted as a levelling factor for the wealth differences in basic multimorbidity, it had no such effect on the two other outcomes. Our study observed social polarization among multimorbid ageing population in England where complex multimorbidity and multiple functional limitations increase faster and reflect stronger inequality than basic multimorbidity.
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Brown JM, Morrissey K, Knight P, Prime TD, Almeida LP, Masselink G, Bird CO, Dodds D, Plater AJ (2018). A coastal vulnerability assessment for planning climate resilient infrastructure.
Ocean and Coastal Management,
163, 101-112.
Abstract:
A coastal vulnerability assessment for planning climate resilient infrastructure
There is a good understanding of past and present coastal processes as a result of coastal monitoring programmes within the UK. However, one of the key challenges for coastal managers in the face of climate change is future coastal change and vulnerability of infrastructure and communities to flooding. Drawing on a vulnerability-led and decision-centric framework (VL-DC) a Decision Support Tool (DST) is developed which, combines new observations and modelling to explore the future vulnerability to sea-level rise and storms for nuclear energy sites in Britain. The combination of these numerical projections within the DST and a Real Options Analysis (ROA) delivers essential support for: (i) improved response to extreme events and (ii) a strategy that builds climate change resilience.
Abstract.
Hinchliffe S, Jackson M, Wyatt K, Barlow A, Barreto M, Clare L, Deplege M, Durie R, Fleming L, Groom N, et al (2018). Healthy publics: Enabling cultures and environments for health.
Palgrave Communications,
4, n/a-n/a.
Full text.
Morrissey KM (2018). Market Failures, the Environment, and Human Health.
Oxford Research Encyclopedia of Environmental Science, 1-13.
Full text.
Watts N, Amann M, Arnell N, Ayeb-Karlsson S, Belesova K, Berry H, Bouley T, Boykoff M, Byass P, Cai W, et al (2018). The 2018 report of the Lancet Countdown on health and climate change: shaping the health of nations for centuries to come.
Lancet,
392(10163), 2479-2514.
Author URL.
Watts N, Amann M, Ayeb-Karlsson S, Belesova K, Bouley T, Boykoff M, Byass P, Cai W, Campbell-Lendrum D, Chambers J, et al (2018). The Lancet Countdown on health and climate change: from 25 years of inaction to a global transformation for public health.
Lancet,
391(10120), 581-630.
Author URL.
Morrissey KM, plater A, dean M (2018). The cost of electric power outages in the residential sector: a willingness to pay approach. Applied Energy, 212, 141-150.
Espuny-Pujol F, Morrissey K, Williamson P (2017). A global optimisation approach to range-restricted survey calibration.
Statistics and Computing,
28(2), 427-439.
Full text.
Morrissey KM, Abo-Zaid G (2017). Examining the association between C-Reactive protein and obesity by using the fractional polynomial approach; applying on NHANES dataset from 2001 to 2010.
Journal of Medical Statistics and Informatics,
5 Full text.
Gustaysson M, Riley M, Morrissey K, Plater AJ (2017). Exploring the socio-cultural contexts of fishers and fishing: Developing the concept of the 'good fisher'.
JOURNAL OF RURAL STUDIES,
50, 104-116.
Author URL.
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Morrissey KM (2017). It’s not just a Blue Economy moment….
Dialogues in Human Geography,
7(1), 42-44.
Abstract:
It’s not just a Blue Economy moment…
Winder and Le Heron (2017) advocate for geographers to engage directly and critically with the Blue Economy and to remove the ‘disciplinary framings’ from which the notion of the Blue Economy has emerged. While endorsing Winder and Le Heron’s call for human geography to engage with debates about the Blue Economy, I argue that the lack of critical engagement within the geographical community with respect to the Blue Economy has not been imposed by disciplinary framings. Instead I ask Winder and Le Heron to clarify how a social and cultural critique of the Blue Economy will expand the current knowledge base of our oceans and seas. I also ask whether a critique of extensive literature within economics, planning and governance on the ocean resource have been the building blocks for the critical analysis of the Blue Economy provided by Winder and Le Heron.
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Watts N, Adger WN, Ayeb-Karlsson S, Bai Y, Byass P, Campbell-Lendrum D, Colbourn T, Cox P, Davies M, Depledge M, et al (2017). The Lancet Countdown: tracking progress on health and climate change.
Lancet,
389(10074), 1151-1164.
Abstract:
The Lancet Countdown: tracking progress on health and climate change.
The Lancet Countdown: tracking progress on health and climate change is an international, multidisciplinary research collaboration between academic institutions and practitioners across the world. It follows on from the work of the 2015 Lancet Commission, which concluded that the response to climate change could be "the greatest global health opportunity of the 21st century". The Lancet Countdown aims to track the health impacts of climate hazards; health resilience and adaptation; health co-benefits of climate change mitigation; economics and finance; and political and broader engagement. These focus areas form the five thematic working groups of the Lancet Countdown and represent different aspects of the complex association between health and climate change. These thematic groups will provide indicators for a global overview of health and climate change; national case studies highlighting countries leading the way or going against the trend; and engagement with a range of stakeholders. The Lancet Countdown ultimately aims to report annually on a series of indicators across these five working groups. This paper outlines the potential indicators and indicator domains to be tracked by the collaboration, with suggestions on the methodologies and datasets available to achieve this end. The proposed indicator domains require further refinement, and mark the beginning of an ongoing consultation process-from November, 2016 to early 2017-to develop these domains, identify key areas not currently covered, and change indicators where necessary. This collaboration will actively seek to engage with existing monitoring processes, such as the UN Sustainable Development Goals and WHO's climate and health country profiles. The indicators will also evolve over time through ongoing collaboration with experts and a range of stakeholders, and be dependent on the emergence of new evidence and knowledge. During the course of its work, the Lancet Countdown will adopt a collaborative and iterative process, which aims to complement existing initiatives, welcome engagement with new partners, and be open to developing new research projects on health and climate change.
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Morrissey K, Espuny F, Williamson P, Higgins S (2016). A small area estimation model of comorbidity for England.
The Lancet,
388, S80-S80.
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Morrissey K, Cummins V (2016). Measuring relatedness in a multisectoral cluster: an input–output approach.
European Planning Studies,
24(4), 629-644.
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Vega A, Kilgarriff P, O’Donoghue C, Morrissey K (2016). The Spatial Impact of Commuting on Income: a Spatial Microsimulation Approach. Applied Spatial Analysis and Policy, 10(4), 475-495.
Morrissey K, Kinderman P, Pontin E, Tai S, Schwannauer M (2016). Web based health surveys: Using a Two Step Heckman model to examine their potential for population health analysis.
SOCIAL SCIENCE & MEDICINE,
163, 45-53.
Author URL.
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Morrissey K, Espuny F, Williamson P (2015). A multinomial model for comorbidity in England of long-standing cardiovascular disease, diabetes and obesity. Health & Social Care in the Community, 24(6), 717-727.
Morrissey KM (2015). An Urban-Rural Exploration of Depression, CVD and their Comorbidity in Ireland.
Irish Geography,
47(1), 77-94.
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Knight PJ, Prime T, Brown JM, Morrissey K, Plater AJ (2015). Application of flood risk modelling in a web-based geospatial decision support tool for coastal adaptation to climate change.
Natural Hazards and Earth System Sciences,
15(7), 1457-1471.
Abstract:
Application of flood risk modelling in a web-based geospatial decision support tool for coastal adaptation to climate change
A pressing problem facing coastal decision makers is the conversion of "high-level" but plausible climate change assessments into an effective basis for climate change adaptation at the local scale. Here, we describe a web-based, geospatial decision support tool (DST) that provides an assessment of the potential flood risk for populated coastal lowlands arising from future sea-level rise, coastal storms, and high river flows. This DST has been developed to support operational and strategic decision making by enabling the user to explore the flood hazard from extreme events, changes in the extent of the flood-prone areas with sea-level rise, and thresholds of sea-level rise where current policy and resource options are no longer viable. The DST is built in an open-source GIS that uses freely available geospatial data. Flood risk assessments from a combination of LISFLOOD-FP and SWAB (Shallow Water and Boussinesq) models are embedded within the tool; the user interface enables interrogation of different combinations of coastal and river events under rising-sea-level scenarios. Users can readily vary the input parameters (sea level, storms, wave height and river flow) relative to the present-day topography and infrastructure to identify combinations where significant regime shifts or "tipping points" occur. Two case studies demonstrate the attributes of the DST with respect to the wider coastal community and the UK energy sector. Examples report on the assets at risk and illustrate the extent of flooding in relation to infrastructure access. This informs an economic assessment of potential losses due to climate change and thus provides local authorities and energy operators with essential information on the feasibility of investment for building resilience into vulnerable components of their area of responsibility.
Abstract.
Morrissey K (2015). Exploring Spatial Variability in the Relationship between Long Term Limiting Illness and Area Level Deprivation at the City Level Using Geographically Weighted Regression.
AIMS Public Health,
2(3), 426-440.
Full text.
Morrissey K (2015). Gender Differences in the Association between Common Mental Disorders and Regional Deprivation in Ireland.
The Professional Geographer,
68(1), 129-137.
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Watts N, Adger WN, Agnolucci P, Blackstock J, Collins M, Cox PM, Hunter A, Quinn T, Gong P, Montgomery H, et al (2015). Lancet Commission on Health and Climate Change: Policy Responses to Protect Public Health.
Lancet Full text.
Morrissey K, Clarke G, Williamson P, Daly A, O'Donoghue C (2015). Mental Illness in Ireland: Simulating its Geographical Prevalence and the Role of Access to Services.
Environment and Planning B: Planning and Design,
42(2), 338-353.
Abstract:
Mental Illness in Ireland: Simulating its Geographical Prevalence and the Role of Access to Services
Traditionally, Ireland has reported high rates of admissions to acute psychiatric facilities for mental illness in general. However, data limitations mean that there has been no research on the role of access and proximity on rates of admissions to acute psychiatric facilities. The Simulation Model of the Irish Local Economy (SMILE) produces synthetic small-area-level microdata on self-reported rates of depression. The National Psychiatric Inpatient Reporting System (NPIRS) contains spatially referenced data on admissions to acute psychiatric services (both public and private) by diagnosis. Combining the NPIRS and SMILE datasets using propensity score-matching techniques produces a small-area profile of individuals with depression that includes those who have accessed an acute psychiatric facility as well as those who have not. Linking the NPIRS and SMILE datasets allows one to examine the differential characteristics that lead individuals with depression to seek acute psychiatric services and, importantly, to see if access to these services is a confounding factor. Our finding is that access, as measured in terms of road distance, has a significant positive impact on individuals with depression using an acute psychiatric facility.
Abstract.
Full text.
Farrell N, Donoghue CO, Morrissey K (2015). Quantifying the uncertainty of wave energy conversion device cost for policy appraisal: an Irish case study. Energy Policy, 78, 62-77.
Morrissey K (2014). A location quotient approach to producing regional production multipliers for the Irish economy. Papers in Regional Science, 95(3), 491-506.
Morrissey K (2014). An inter and intra-regional exploration of the marine sector employment and deprivation in England. The Geographical Journal, 181(3), 295-303.
Morrissey K (2014). Producing regional production multipliers for Irish marine sector policy: a location quotient approach. Ocean & Coastal Management, 91, 58-64.
Morrissey KM (2014). Spatial Microsimulation Modelling: a Review of Applications and Methodological Choices.
The International Journal of Microsimulation,
7(1), 26-75.
Full text.
Morrissey KM (2014). Using geo-computation methods to evaluate public policy.
Evaluator, 13-14.
Full text.
Morrissey K (2014). Using secondary data to examine economic trends in a subset of sectors in the English marine economy: 2003–2011. Marine Policy, 50, 135-141.
Morrissey K, O'donoghue C, Farrell N (2013). The Local Impact of the Marine Sector in Ireland: a Spatial Microsimulation Analysis. Spatial Economic Analysis, 9(1), 31-50.
Sigfusson T, Arnason R, Morrissey K (2013). The economic importance of the Icelandic fisheries cluster—Understanding the role of fisheries in a small economy. Marine Policy, 39, 154-161.
Morrissey K, O'Donoghue C (2013). The potential for an Irish maritime transportation cluster: an input–output analysis. Ocean & Coastal Management, 71, 305-313.
Morrissey K, O’Donoghue C (2013). The role of the marine sector in the Irish national economy: an input–output analysis. Marine Policy, 37, 230-238.
O’Donoghue C, Loughrey J, Morrissey K (2013). Using the EU-SILC to model the impact of the economic crisis on inequality.
IZA Journal of European Labor Studies,
2(1).
Abstract:
Using the EU-SILC to model the impact of the economic crisis on inequality
Abstract
. In this paper we attempted to chart the impact of the early part of Ireland’s economic crisis from 2008–2009 on the distribution of income. In order to decompose the impact of changes in different income components, we utilised a microsimulation methodology and the EU-SILC User Database. This simulation based methodology involved the disaggregation of the 6 main benefit variables in the EU-SILC into 17 variables for our tax-benefit model. Validating, our results were positive, giving us confidence in our methodology. We utilised the framework to model changes in the level of income inequality from the period just before the crisis in 2004 to the depth of the worst year of the crisis in 2009. In terms of the impact of the economic crisis, we found that income inequality fell in the early part of the crisis modelled in this paper. Much of this change was due to rising inequality of market incomes, (even when discounting unemployment). This was due to the differential effect of the downturn on different sectors where some sectors such as the construction and public sectors were significantly hit, while the international traded sectors have been relatively immune from the downturn and have seen continued growth. The impact of the tax-benefit system has been to mitigate this upward pressure, with a gradual rise in the redistributive effect of the tax-benefit system driven by an increase in demand on the benefits side and increased progressivity on the tax side.
.
. Jel codes
.
. H22, H55, C15
Abstract.
Morrissey K, Daly A, Clarke G, O'Donoghue C, Ballas D (2012). A rural/urban comparison of psychiatric inpatient admissions in Ireland. Journal of Public Mental Health, 11(4), 209-213.
Morrissey K, O’Donoghue C (2012). The Irish marine economy and regional development. Marine Policy, 36(2), 358-364.
Morrissey K, O'Donoghue C, Clarke G, Li J (2012). Using Simulated Data to Examine the Determinants of Acute Hospital Demand at the Small Area Level. Geographical Analysis, 45(1), 49-76.
Morrissey K, O’Donoghue C, Hynes S (2011). Quantifying the value of multi-sectoral marine commercial activity in Ireland. Marine Policy, 35(5), 721-727.
Morrissey K, Hynes S, Clarke G, O'Donoghue C (2010). Examining the factors associated with depression at the small area level in Ireland using spatial microsimulation techniques. Irish Geography, 43(1), 1-22.
Hynes S, Morrissey K, O'Donoghue C, Clarke G (2009). A spatial micro-simulation analysis of methane emissions from Irish agriculture.
Ecological Complexity,
6(2), 135-146.
Abstract:
A spatial micro-simulation analysis of methane emissions from Irish agriculture
Using micro-simulation modelling techniques this paper examines methane emissions across Irish farms. The effects of a carbon equivalent tax on average family farm income are analysed at both the farm and regional level. The spatial micro-simulation model developed uses a technique called simulated annealing to match the Irish Census of Agriculture data to a National Farm Survey. The main advantage of the spatial micro-simulation approach is the fact that it allows one to account for the heterogeneity in the farm population across space. The results of the modelling process are presented using GIS mapping techniques and highlight the fact that there would be significant regional variation in the burden of an agricultural tax that was based on a rate per unit of methane emissions. The results also demonstrate that if the methane tax revenue raised was redistributed in the form of an environmental subsidy to farmers participating in an agri-environmental scheme (the Rural Environment Protection Scheme (REPS)) it would encourage farmers to participate in the scheme and could also have the effect of moving low income farms up the earnings distribution ladder. © 2008 Elsevier B.V. All rights reserved.
Abstract.
Hynes S, Morrissey K, O'donoghue C, Clarke G (2009). Building a static farm level spatial microsimulation model for rural development and agricultural policy analysis in Ireland.
International Journal of Agricultural Resources, Governance and Ecology,
8(2-4), 282-299.
Abstract:
Building a static farm level spatial microsimulation model for rural development and agricultural policy analysis in Ireland
Using statistical matching techniques, economists can now create attribute rich datasets by matching across the common variables in two or more datasets. The farm level spatial microsimulation model developed in this paper uses one of many combinational optimatisation techniques-simulated annealing-to match the Irish Census of Agriculture to the 2005 Irish National Farm Survey (NFS). Using the new spatially disaggregated farm population microdata this paper then briefly analyses the impact of future common agricultural policy (CAP) reform on the distribution of family farm income in rural Ireland.
Abstract.
Hynes S, Morrissey K, O'Donoghue C, Clarke G (2009). Building a static farm level spatial microsimulation model for rural development and agricultural policy analysis in Ireland. International Journal of Agricultural Resources, Governance and Ecology, 8(2/3/4), 282-282.
Morrissey K, Clarke G, Ballas D, Hynes S, O'Donoghue C (2008). Examining access to GP services in rural Ireland using microsimulation analysis. Area, 40(3), 354-364.
Chapters
Gustavsson MC, Morrissey K (2018). The varying economic impacts of Marine Spatial Planning across different geographical scales: a Q methodology study. In Heidkamp PC, Morrissey J (Eds.)
Towards Coastal Resilience and Sustainability, Abington: Routledge.
Author URL.
Full text.
Parajuli J, Haynes KE (2016). An exploratory analysis of new firm formation in new England. In (Ed) Applied Spatial Modelling and Planning, 17-32.
O’ Donoghue C, Jason L, Karyn M (2014). Microsimulation estimates of the inequality impact of the economic crisis in Ireland. In (Ed) New Pathways in Microsimulation, 29-40.
Ballas D, Clarke G, Hynes S, Lennon J, Morrissey K, O’Donoghue C (2013). A review of microsimulation for policy analysis. In (Ed)
Advances in Spatial Science, 35-54.
Abstract:
A review of microsimulation for policy analysis
Abstract.
O’Donoghue C, Ballas D, Clarke G, Hynes S, Lennon J, Morrissey K (2013). Conclusions and next steps. In (Ed)
Advances in Spatial Science, 255-264.
Abstract:
Conclusions and next steps
Abstract.
Hynes S, Morrissey K, O’Donoghue C, Clarke G (2013). Farm level spatial microsimulation modelling. In (Ed)
Advances in Spatial Science, 103-122.
Abstract:
Farm level spatial microsimulation modelling
Abstract.
Hynes S, Morrissey K, O’Don C (2013). Modelling greenhouse gas emissions from agriculture. In (Ed)
Advances in Spatial Science, 143-157.
Abstract:
Modelling greenhouse gas emissions from agriculture
Abstract.
Morrissey K, Ballas D, Clarke G, Hynes S, O’Donoghue C (2013). Spatial access to health services. In (Ed)
Advances in Spatial Science, 213-230.
Abstract:
Spatial access to health services
Abstract.
O’Donoghue C, Farell N, Morrissey K, Lennon J, Ballas D, Clarke G, Hynes S (2013). The SMILE model: Construction and calibration. In (Ed)
Advances in Spatial Science, 55-86.
Abstract:
The SMILE model: Construction and calibration
Abstract.
Clancy D, Breen J, Morrissey K, O’Donoghue C, Thorne F (2013). The location economics of biomass production for electricity generation. In (Ed)
Advances in Spatial Science, 159-175.
Abstract:
The location economics of biomass production for electricity generation
Abstract.
O’Donoghue C, Morrissey K, Hayes P, Loughrey J, Banks J, Hynes S (2013). The spatial distribution of household disposable income. In (Ed)
Advances in Spatial Science, 193-211.
Abstract:
The spatial distribution of household disposable income
Abstract.
Morrissey K, O’Donoghue C (2013). Validation issues and the spatial pattern of household income. In (Ed)
Advances in Spatial Science, 87-102.
Abstract:
Validation issues and the spatial pattern of household income
Abstract.
Morrissey KM (2012). Linking static spatial microsimulation modelling to macro models: the Relationship between Access to GP services & Long Term Illness. In Edwards K, Tanton R (Eds.) Microsimulation Methods and Models, London: Springer.
Morrissey KM (2012). SMILE - an Applied Spatial Microsimulation Model for Ireland. In stimson R, haynes K (Eds.) Geography at Work: Applying Geographical Analysis to in the Public and Business Domains, Kluwer Academic Publishers: , 200-217.
Morrissey K, O'Donoghue C, Clarke G, Ballas D, Hynes S (2012). Smile: an applied spatial microsimulation model for ireland. In (Ed) Studies in Applied Geography and Spatial Analysis: Addressing Real World Issues, 79-94.
Morrissey K, O'Donoghue C, Clarke G, Ballas D, Hynes S (2012). Smile: an applied spatial microsimulation model for ireland. In (Ed) Studies in Applied Geography and Spatial Analysis: Addressing Real World Issues, 79-94.
Conferences
Guell C, Altink H, Moore M, McMorris M, Morrissey K, Smith M, Unwin N, Williams A, Govia I (2019). AN INTERDISCIPLINARY STUDY OF HISTORICAL AND EPIDEMIOLOGICAL TRANSITIONS IN URBAN CARIBBEAN FOODSCAPES: UNDERSTANDING THE PAST TO ENHANCE FUTURE NUTRITION STRATEGIES.
Author URL.
Buckingham SA, Morrissey K, Williams AJ, Price L, Harrison J (2019). THE PHYSICAL ACTIVITY WEARABLES IN THE POLICE FORCE (PAW-FORCE) TRIAL: FEASIBILITY, ACCEPTABILITY AND IMPACT.
Author URL.
Reports
Depledge MH, Lovell R, Wheeler BW, Morrissey KM, White M, Fleming LE (2017).
Future of the Sea: Health and Wellbeing of Coastal Communities. Governtment Office for Science, https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/639432/Health_and_Wellbeing_Final.pdf.
Abstract:
Future of the Sea: Health and Wellbeing of Coastal Communities
Abstract.
Full text.
Publications by year
In Press
Gustavsson M, Morrissey K (In Press). A typology of different perspectives on the spatial economic impacts of Marine Spatial Planning.
Journal of Environmental Policy and Planning Full text.
Knight PJ, Prime T, M. Brown J, Morrissey K, Plater AJ (In Press). Application of flood risk modelling in a web-based geospatial decision support tool for coastal adaptation to climate change.
Abstract:
Application of flood risk modelling in a web-based geospatial decision support tool for coastal adaptation to climate change
Abstract. A pressing problem facing coastal decision makers is the conversion of "high level" but plausible climate change assessments into an effective basis for climate change adaptation at the local scale. Here, we describe a web-based, geospatial decision-support tool (DST) that provides an assessment of the potential flood risk for populated coastal lowlands arising from future sea-level rise, coastal storms and high river flows. This DST has been developed to support operational and strategic decision making by enabling the user to explore the flood hazard from extreme events, changes in the extent of the flood-prone areas with sea-level rise, and thresholds of sea-level rise where current policy and resource options are no longer viable. The DST is built in an open source GIS that uses freely available geospatial data. Flood risk assessments from a combination of LISFLOOD-FP and SWAB models are embedded within the tool; the user interface enables interrogation of different combinations of coastal and river events under rising sea-level scenarios. Users can readily vary the input parameters (sea level, storms, wave height and river flow) relative to the present-day topography and infrastructure to identify combinations where significant regime shifts or "tipping points" occur. Two case studies are used to demonstrate the attributes of the DST with respect to the wider coastal community and the UK energy sector. Examples report on the assets at risk and illustrate the extent of flooding in relation to infrastructure access. This informs an economic assessment of potential losses due to climate change and thus provides local authorities and energy operators with essential information on the feasibility of investment for building resilience into vulnerable components of their area of responsibility.
.
Abstract.
Full text.
Morrissey KM (In Press). Comorbidity and healthcare use for individuals with CVD in the Ireland: a cross-sectional, population-based study.
BMJ Open Full text.
Williams AJ, Menneer T, Sidana M, Walker T, Maguire K, Mueller M, Paterson C, Leyshon M, Leyshon C, Seymour E, et al (In Press). Fostering Engagement with Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort (Preprint).
Abstract:
Fostering Engagement with Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort (Preprint)
. BACKGROUND
. Personas, based on customer or population data, are widely used to inform design decisions in the commercial sector. The variety of methods available means that personas can be produced from projects of different types and scale.
.
.
. OBJECTIVE
. This study aims to experiment with the use of personas that bring together data from a survey, household air measurements and electricity usage sensors, and an interview within a research and innovation project, with the aim of supporting eHealth and eWell-being product, process, and service development through broadening the engagement with and understanding of the data about the local community.
.
.
. METHODS
. The project participants were social housing residents (adults only) living in central Cornwall, a rural unitary authority in the United Kingdom. A total of 329 households were recruited between September 2017 and November 2018, with 235 (71.4%) providing complete baseline survey data on demographics, socioeconomic position, household composition, home environment, technology ownership, pet ownership, smoking, social cohesion, volunteering, caring, mental well-being, physical and mental health–related quality of life, and activity. K-prototype cluster analysis was used to identify 8 clusters among the baseline survey responses. The sensor and interview data were subsequently analyzed by cluster and the insights from all 3 data sources were brought together to produce the personas, known as the Smartline Archetypes.
.
.
. RESULTS
. The Smartline Archetypes proved to be an engaging way of presenting data, accessible to a broader group of stakeholders than those who accessed the raw anonymized data, thereby providing a vehicle for greater research engagement, innovation, and impact.
.
.
. CONCLUSIONS
. Through the adoption of a tool widely used in practice, research projects could generate greater policy and practical impact, while also becoming more transparent and open to the public.
.
Abstract.
Morrissey KM, Taylor T, Sharpe R, Fleming L, Morris G, Wigglesworth R (In Press). Making the Case for “Whole System” Approaches Integrating Public Health and Housing.
International Journal of Environmental Research and Public Health,
15, 2345-2345.
Full text.
2021
Menneer T, Qi Z, Taylor T, Paterson C, Tu G, Elliott LR, Morrissey K, Mueller M (2021). Changes in Domestic Energy and Water Usage during the UK COVID-19 Lockdown Using High-Resolution Temporal Data.
International Journal of Environmental Research and Public Health,
18(13), 6818-6818.
Abstract:
Changes in Domestic Energy and Water Usage during the UK COVID-19 Lockdown Using High-Resolution Temporal Data
In response to the COVID-19 outbreak, the UK Government provided public health advice to stay at home from 16 March 2020, followed by instruction to stay at home (full lockdown) from 24 March 2020. We use data with high temporal resolution from utility sensors installed in 280 homes across social housing in Cornwall, UK, to test for changes in domestic electricity, gas and water usage in response to government guidance. Gas usage increased by 20% following advice to stay at home, the week before full lockdown, although no difference was seen during full lockdown itself. During full lockdown, morning electricity usage shifted to later in the day, decreasing at 6 a.m. and increasing at midday. These changes in energy were echoed in water usage, with a 17% increase and a one-hour delay in peak morning usage. Changes were consistent with people getting up later, spending more time at home and washing more during full lockdown. Evidence for these changes was also observed in later lockdowns, but not between lockdowns. Our findings suggest more compliance with an enforced stay-at-home message than with advice. We discuss implications for socioeconomically disadvantaged households given the indication of inability to achieve increased energy needs during the pandemic.
Abstract.
Full text.
Williams AJ, Menneer T, Sidana M, Walker T, Maguire K, Mueller M, Paterson C, Leyshon M, Leyshon C, Seymour E, et al (2021). Fostering Engagement with Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort.
JMIR Public Health and Surveillance,
7(2), e25037-e25037.
Abstract:
Fostering Engagement with Health and Housing Innovation: Development of Participant Personas in a Social Housing Cohort
. Background
. Personas, based on customer or population data, are widely used to inform design decisions in the commercial sector. The variety of methods available means that personas can be produced from projects of different types and scale.
.
.
. Objective
. This study aims to experiment with the use of personas that bring together data from a survey, household air measurements and electricity usage sensors, and an interview within a research and innovation project, with the aim of supporting eHealth and eWell-being product, process, and service development through broadening the engagement with and understanding of the data about the local community.
.
.
. Methods
. The project participants were social housing residents (adults only) living in central Cornwall, a rural unitary authority in the United Kingdom. A total of 329 households were recruited between September 2017 and November 2018, with 235 (71.4%) providing complete baseline survey data on demographics, socioeconomic position, household composition, home environment, technology ownership, pet ownership, smoking, social cohesion, volunteering, caring, mental well-being, physical and mental health–related quality of life, and activity. K-prototype cluster analysis was used to identify 8 clusters among the baseline survey responses. The sensor and interview data were subsequently analyzed by cluster and the insights from all 3 data sources were brought together to produce the personas, known as the Smartline Archetypes.
.
.
. Results
. The Smartline Archetypes proved to be an engaging way of presenting data, accessible to a broader group of stakeholders than those who accessed the raw anonymized data, thereby providing a vehicle for greater research engagement, innovation, and impact.
.
.
. Conclusions
. Through the adoption of a tool widely used in practice, research projects could generate greater policy and practical impact, while also becoming more transparent and open to the public.
.
Abstract.
Full text.
Hu X, Davies R, Morrissey K, Smith R, Fleming LE, Sharmina M, St. Clair R, Hopkinson P (2021). Single-use plastic and COVID-19 in the NHS: Barriers and opportunities.
Journal of Public Health ResearchAbstract:
Single-use plastic and COVID-19 in the NHS: Barriers and opportunities
Background: Single-use personal protective equipment (PPE) has been essential to protect healthcare workers during the COVID-19 pandemic. However, intensified use of PPE could counteract the previous efforts made by the UK NHS Trusts to reduce their plastic footprint. Design and methods: in this study, we conducted an in-depth case study in the Royal Cornwall Hospitals NHS Trust to investigate plastic-related issues in a typical NHS Trust before, during and after the pandemic. We first collected hospital routine data on both procurement and usage of single-use PPE (including face masks, aprons, and gowns) for the time period between April 2019 and August 2020. We then interviewed 12 hospital staff across a wide remit, from senior managers to consultants, nurses and catering staff, to gather qualitative evidence on the overall impact of COVID-19 on the Trust regarding plastic use.Results: We found that although COVID-19 had increased the procurement and the use of single-use plastic substantially during the pandemic, it did not appear to have changed the focus of the hospital on implementing measures to reduce single-use plastic in the long term. We then discussed the barriers and opportunities to tackle plastic issues within the NHS in the post-COVID world, for example, a circular healthcare model.Conclusion: investment is needed in technologies and processes that can recycle and reuse a wider range of single-use plastics, and innovate sustainable alternatives to replace single-use consumables used in the NHS to construct a fully operational closed material loop healthcare system.
Abstract.
Morrissey K, Chung I, Morse A, Parthasarath S, Roebuck M, Tan M, Wood A, Wong P-F, Frostick S (2021). The Effects of Air Quality on Hospital Admissions for Chronic Respiratory Diseases in Petaling Jaya, Malaysia, 2013–2015.
Atmosphere,
12(8), 1060-1060.
Abstract:
The Effects of Air Quality on Hospital Admissions for Chronic Respiratory Diseases in Petaling Jaya, Malaysia, 2013–2015
This study assesses the impact of a decrease in air quality and the risk of hospital admissions to a public hospital for chronic respiratory diseases for residents of Petaling Jaya, a city in the Greater Kuala Lumpur area in Malaysia. Data on hospital admissions for asthma, bronchitis, emphysema and other chronic obstructive pulmonary disease, weather conditions and the Malaysian Air Pollution Index, a composite indicator of air quality, were collated. An unconstrained distributed lag model to obtain risk of hospitalization for a 10 μg/m3 increase in the API. The lag cumulative effect for a 10 μg/m3 increase in the API was calculated to test for harvesting in the short term. Findings indicate that after an initial decrease in admissions (days 3 and 4), admissions increased again at day 7 and 8 and this relationship was significant. We therefore conclude that a 10 μg/m3 increase has a greater effect on admissions for respiratory health in the short term than a harvesting effect alone would suggest. These results suggest that while air quality is improving in the Greater Kuala Lumpur area, no level of air pollution can be deemed safe.
Abstract.
2020
Morrissey K (2020). Big Data and its potential role in regional growth: evidence from Great Britain. Spatial Economic Analysis, 15(4), 494-504.
Winther J-G, Dai M, Rist T, Hoel AH, Li Y, Trice A, Morrissey K, Juinio-Meñez MA, Fernandes L, Unger S, et al (2020). Integrated ocean management for a sustainable ocean economy. Nature Ecology & Evolution, 4(11), 1451-1458.
2019
Guell C, Altink H, Moore M, McMorris M, Morrissey K, Smith M, Unwin N, Williams A, Govia I (2019). AN INTERDISCIPLINARY STUDY OF HISTORICAL AND EPIDEMIOLOGICAL TRANSITIONS IN URBAN CARIBBEAN FOODSCAPES: UNDERSTANDING THE PAST TO ENHANCE FUTURE NUTRITION STRATEGIES.
Author URL.
Morrissey K (2019). Aligning Ocean Plastic Pollution and Human Health a Co-benefits Approach. Journal of Ocean and Coastal Economics, 6(1).
Kinay P, Morse AP, Villanueva EV, Morrissey K, Staddon PL (2019). Direct and indirect health impacts of climate change on the vulnerable elderly population in East China.
ENVIRONMENTAL REVIEWS,
27(3), 295-303.
Author URL.
Morrissey KM, Burthoo-Barah SB, Dawoonauth M, Scandizzo PL (2019). Exploring the distributional impact of investment in the port sector on households in Mauritius: a social accounting matrix approach.
Marine Policy,
99, 324-333.
Full text.
Moses L, Morrissey K, Sharpe RA, Taylor T (2019). Exposure to Indoor Mouldy Odour Increases the Risk of Asthma in Older Adults Living in Social Housing.
Int J Environ Res Public Health,
16(14).
Abstract:
Exposure to Indoor Mouldy Odour Increases the Risk of Asthma in Older Adults Living in Social Housing.
Background: Indoor dampness is thought to affect around 16% of European homes. It is generally accepted that increased exposure to indoor dampness and mould contamination (e.g. spores and hyphae) increases the risk of developing and/or exacerbating asthma. Around 30% of people in the Western world have an allergic disease (e.g. allergy, wheeze and asthma). The role of indoor mould contamination in the risk of allergic diseases in older adults is yet to be fully explored. This is of interest because older people spend more time indoors, as well as facing health issues due to the ageing process, and may be at greater risk of developing and/or exacerbating asthma as a result of indoor dampness. Methods: Face-to-face questionnaires were carried out with 302 participants residing in social housing properties located in South West England. Self-reported demographic, mould contamination (i.e. presence of mould growth and mouldy odour) and health information was linked with the asset management records (e.g. building type, age and levels of maintenance). Multivariate logistic regression was used to calculate the odd ratios and confidence intervals of developing and/or exacerbating asthma, wheeze and allergy with exposure to reported indoor mould contamination. We adjusted for a range of factors that may affect asthma outcomes, which include age, sex, current smoking, presence of pets, education, and building type and age. To assess the role of mould contamination in older adults, we compared younger adults to those aged over 50 years. Results: Doctor-diagnosed adult asthma was reported by 26% of respondents, 34% had current wheeze while 18% had allergies. Asthma was common among subjects exposed to reported visible mould (32%) and reported mouldy odour (42%). Exposure to visible mould growth and mouldy odour were risk factors for asthma, but not for wheeze or allergy. Exposure to mouldy odour increased the risk of asthma in adults over the age of 50 years (odds ratio (OR) 2.4, 95% confidence interval (CI) 1.10-5.34) and the risk was higher for females than for males (OR 3.5, 95% CI 1.37-9.08). These associations were modified by a range of built environment characteristics. Conclusions: We found that older adults living in social (public) housing properties, specifically women, may be at higher risk of asthma when exposed to mouldy odour, which has a number of implications for policy makers and practitioners working in the health and housing sector. Additional measures should be put in place to protect older people living in social housing against indoor damp and mould contamination.
Abstract.
Author URL.
Full text.
Buckingham S, Williams A, Morrissey K, Price L, Harrison J (2019). Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: a systematic review.
Digital Health,
5Abstract:
Mobile health interventions to promote physical activity and reduce sedentary behaviour in the workplace: a systematic review
Objective
This systematic review aimed to assess the effectiveness, feasibility and acceptability of mobile health (mHealth) technology (including wearable activity monitors and smartphone applications) for promoting physical activity (PA) and reducing sedentary behaviour (SB) in workplace settings.
Methods
Systematic searches were conducted in seven electronic databases (MEDLINE, SPORTDiscus, Scopus, EMBASE, PsycINFO, Web of Science and the Cochrane library). Studies were included if mHealth was a major intervention component, PA/SB was a primary outcome, and participants were recruited and/or the intervention was delivered in the workplace. Study quality was assessed using the Effective Public Health Practice Project (EPHPP) tool. Interventions were coded for behaviour change techniques (BCTs) using the Coventry, Aberdeen and London – Refined (CALO-RE) taxonomy.
Results
Twenty-five experimental and quasi-experimental studies were included. Studies were highly heterogeneous and only one was rated as ‘strong’ methodological quality. Common BCTs included self-monitoring, feedback, goal-setting and social comparison. A total of 14/25 (56%) studies reported a significant increase in PA, and 4/10 (40%) reported a significant reduction in sedentary time; 11/16 (69%) studies reported a significant impact on secondary outcomes including reductions in weight, systolic blood pressure and total cholesterol. While overall acceptability was high, a large decline in technology use and engagement was observed over time.
Conclusions
While methodological quality was generally weak, there is reasonable evidence for mHealth in a workplace context as a feasible, acceptable and effective tool to promote PA. The impact in the longer term and on SB is less clear. Higher quality, mixed methods studies are needed to explore the reasons for decline in engagement with time and the longer-term potential of mHealth in workplace interventions.
Abstract.
Full text.
Singer L, Green M, Rowe F, Ben-Shlomo Y, Morrissey K (2019). Social determinants of multimorbidity and multiple functional limitations among the ageing population of England, 2002-2015.
SSM Popul Health,
8Abstract:
Social determinants of multimorbidity and multiple functional limitations among the ageing population of England, 2002-2015.
This study explores longitudinal relationships between material, psycho-social and behavioural social determinants of health and multimorbidity of people aged 50 years or older in England. We used data from the English Longitudinal Study of Ageing collected biannually between 2002 and 2015. Apart from the basic measure of multimorbidity (two or more diseases within a person) we constructed two distinct measures of health in order to take into account the biology of ageing (complex multimorbidity and multiple functional limitations). We found that the likelihood of multimorbidity and multiple functional limitations was consistently associated with the levels of household wealth, sense of control over one's life, physical activity and loneliness. Larger health inequalities were observed when health was measured as complex multimorbidity and multiple functional limitations than basic multimorbidity. Compared to the population group with the highest wealth, those with the lowest wealth had 47% higher odds of basic multimorbidity (95% C.I. 1.34-1.61), 73% higher odds of complex multimorbidity (95% C.I. 1.52-1.96) and 90% higher odds of having 10 or more functional limitations (95% C.I. 1.59-2.26). We did not find a dose-response relationship between alcohol consumption, smoking and multimorbidity but rather evidence of people in ill health actively moderating their health behaviour. We suggest that materialist models of multimorbidity and functional limitation at older age can not, on their own, explain the health inequalities as the behavioural and psycho-social factors play an important role. Policies aiming to reduce the risk of multimorbidity and functional limitation should address the issue at these three levels simultaneously, using the existing national infrastructure of General Practices.
Abstract.
Author URL.
Full text.
Buckingham SA, Morrissey K, Williams AJ, Price L, Harrison J (2019). THE PHYSICAL ACTIVITY WEARABLES IN THE POLICE FORCE (PAW-FORCE) TRIAL: FEASIBILITY, ACCEPTABILITY AND IMPACT.
Author URL.
Watts N, Amann M, Arnell N, Ayeb-Karlsson S, Belesova K, Boykoff M, Byass P, Cai W, Campbell-Lendrum D, Capstick S, et al (2019). The 2019 report of the Lancet Countdown on health and climate change: ensuring that the health of a child born today is not defined by a changing climate.
The Lancet,
394(10211), 1836-1878.
Full text.
Singer L, Green M, Rowe F, Ben-Shlomo Y, Kulu H, Morrissey K (2019). Trends in multimorbidity, complex multimorbidity and multiple functional limitations in the ageing population of England, 2002–2015.
Journal of Comorbidity,
9, 2235042X1987203-2235042X1987203.
Abstract:
Trends in multimorbidity, complex multimorbidity and multiple functional limitations in the ageing population of England, 2002–2015
This study aimed to estimate the prevalence of three measures of multimorbidity among people aged 50 years or older in England. Beside the basic measure of two or more diseases within a person, we added a measure of three or more affected body systems (complex multimorbidity) and a measure of 10 or more functional limitations. We found that the three health outcomes became more prevalent between 2002 and 2015. They were more common among females than males and were becoming more common among younger age groups. While in 2002, the prevalence of basic multimorbidity overcame 50% from the 70–74 age group upwards, in 2015 it crossed the same threshold in the 65–69 age group. The distribution of multimorbidity and multiple functional limitations were stratified by the amount of household wealth. Multiple functional limitations reflected the largest differences between the most and the least affluent groups (5.9-fold in 2014/2015), followed by the measure of complex multimorbidity (2.8-fold in 2014/2015) and basic multimorbidity (1.9-fold) in 2014/2015.While age acted as a levelling factor for the wealth differences in basic multimorbidity, it had no such effect on the two other outcomes. Our study observed social polarization among multimorbid ageing population in England where complex multimorbidity and multiple functional limitations increase faster and reflect stronger inequality than basic multimorbidity.
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2018
Brown JM, Morrissey K, Knight P, Prime TD, Almeida LP, Masselink G, Bird CO, Dodds D, Plater AJ (2018). A coastal vulnerability assessment for planning climate resilient infrastructure.
Ocean and Coastal Management,
163, 101-112.
Abstract:
A coastal vulnerability assessment for planning climate resilient infrastructure
There is a good understanding of past and present coastal processes as a result of coastal monitoring programmes within the UK. However, one of the key challenges for coastal managers in the face of climate change is future coastal change and vulnerability of infrastructure and communities to flooding. Drawing on a vulnerability-led and decision-centric framework (VL-DC) a Decision Support Tool (DST) is developed which, combines new observations and modelling to explore the future vulnerability to sea-level rise and storms for nuclear energy sites in Britain. The combination of these numerical projections within the DST and a Real Options Analysis (ROA) delivers essential support for: (i) improved response to extreme events and (ii) a strategy that builds climate change resilience.
Abstract.
Hinchliffe S, Jackson M, Wyatt K, Barlow A, Barreto M, Clare L, Deplege M, Durie R, Fleming L, Groom N, et al (2018). Healthy publics: Enabling cultures and environments for health.
Palgrave Communications,
4, n/a-n/a.
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Morrissey KM (2018). Market Failures, the Environment, and Human Health.
Oxford Research Encyclopedia of Environmental Science, 1-13.
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Watts N, Amann M, Arnell N, Ayeb-Karlsson S, Belesova K, Berry H, Bouley T, Boykoff M, Byass P, Cai W, et al (2018). The 2018 report of the Lancet Countdown on health and climate change: shaping the health of nations for centuries to come.
Lancet,
392(10163), 2479-2514.
Author URL.
Watts N, Amann M, Ayeb-Karlsson S, Belesova K, Bouley T, Boykoff M, Byass P, Cai W, Campbell-Lendrum D, Chambers J, et al (2018). The Lancet Countdown on health and climate change: from 25 years of inaction to a global transformation for public health.
Lancet,
391(10120), 581-630.
Author URL.
Morrissey KM, plater A, dean M (2018). The cost of electric power outages in the residential sector: a willingness to pay approach. Applied Energy, 212, 141-150.
Gustavsson MC, Morrissey K (2018). The varying economic impacts of Marine Spatial Planning across different geographical scales: a Q methodology study. In Heidkamp PC, Morrissey J (Eds.)
Towards Coastal Resilience and Sustainability, Abington: Routledge.
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2017
Espuny-Pujol F, Morrissey K, Williamson P (2017). A global optimisation approach to range-restricted survey calibration.
Statistics and Computing,
28(2), 427-439.
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Morrissey K (2017).
Economics of the Marine Modelling Natural Resources., Rowman & Littlefield International.
Abstract:
Economics of the Marine Modelling Natural Resources
Abstract.
Morrissey KM, Abo-Zaid G (2017). Examining the association between C-Reactive protein and obesity by using the fractional polynomial approach; applying on NHANES dataset from 2001 to 2010.
Journal of Medical Statistics and Informatics,
5 Full text.
Gustaysson M, Riley M, Morrissey K, Plater AJ (2017). Exploring the socio-cultural contexts of fishers and fishing: Developing the concept of the 'good fisher'.
JOURNAL OF RURAL STUDIES,
50, 104-116.
Author URL.
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Depledge MH, Lovell R, Wheeler BW, Morrissey KM, White M, Fleming LE (2017).
Future of the Sea: Health and Wellbeing of Coastal Communities. Governtment Office for Science, https://www.gov.uk/government/uploads/system/uploads/attachment_data/file/639432/Health_and_Wellbeing_Final.pdf.
Abstract:
Future of the Sea: Health and Wellbeing of Coastal Communities
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Morrissey KM (2017). It’s not just a Blue Economy moment….
Dialogues in Human Geography,
7(1), 42-44.
Abstract:
It’s not just a Blue Economy moment…
Winder and Le Heron (2017) advocate for geographers to engage directly and critically with the Blue Economy and to remove the ‘disciplinary framings’ from which the notion of the Blue Economy has emerged. While endorsing Winder and Le Heron’s call for human geography to engage with debates about the Blue Economy, I argue that the lack of critical engagement within the geographical community with respect to the Blue Economy has not been imposed by disciplinary framings. Instead I ask Winder and Le Heron to clarify how a social and cultural critique of the Blue Economy will expand the current knowledge base of our oceans and seas. I also ask whether a critique of extensive literature within economics, planning and governance on the ocean resource have been the building blocks for the critical analysis of the Blue Economy provided by Winder and Le Heron.
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Watts N, Adger WN, Ayeb-Karlsson S, Bai Y, Byass P, Campbell-Lendrum D, Colbourn T, Cox P, Davies M, Depledge M, et al (2017). The Lancet Countdown: tracking progress on health and climate change.
Lancet,
389(10074), 1151-1164.
Abstract:
The Lancet Countdown: tracking progress on health and climate change.
The Lancet Countdown: tracking progress on health and climate change is an international, multidisciplinary research collaboration between academic institutions and practitioners across the world. It follows on from the work of the 2015 Lancet Commission, which concluded that the response to climate change could be "the greatest global health opportunity of the 21st century". The Lancet Countdown aims to track the health impacts of climate hazards; health resilience and adaptation; health co-benefits of climate change mitigation; economics and finance; and political and broader engagement. These focus areas form the five thematic working groups of the Lancet Countdown and represent different aspects of the complex association between health and climate change. These thematic groups will provide indicators for a global overview of health and climate change; national case studies highlighting countries leading the way or going against the trend; and engagement with a range of stakeholders. The Lancet Countdown ultimately aims to report annually on a series of indicators across these five working groups. This paper outlines the potential indicators and indicator domains to be tracked by the collaboration, with suggestions on the methodologies and datasets available to achieve this end. The proposed indicator domains require further refinement, and mark the beginning of an ongoing consultation process-from November, 2016 to early 2017-to develop these domains, identify key areas not currently covered, and change indicators where necessary. This collaboration will actively seek to engage with existing monitoring processes, such as the UN Sustainable Development Goals and WHO's climate and health country profiles. The indicators will also evolve over time through ongoing collaboration with experts and a range of stakeholders, and be dependent on the emergence of new evidence and knowledge. During the course of its work, the Lancet Countdown will adopt a collaborative and iterative process, which aims to complement existing initiatives, welcome engagement with new partners, and be open to developing new research projects on health and climate change.
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2016
Morrissey K, Espuny F, Williamson P, Higgins S (2016). A small area estimation model of comorbidity for England.
The Lancet,
388, S80-S80.
Full text.
Parajuli J, Haynes KE (2016). An exploratory analysis of new firm formation in new England. In (Ed) Applied Spatial Modelling and Planning, 17-32.
Morrissey K, Cummins V (2016). Measuring relatedness in a multisectoral cluster: an input–output approach.
European Planning Studies,
24(4), 629-644.
Full text.
Vega A, Kilgarriff P, O’Donoghue C, Morrissey K (2016). The Spatial Impact of Commuting on Income: a Spatial Microsimulation Approach. Applied Spatial Analysis and Policy, 10(4), 475-495.
Morrissey K, Kinderman P, Pontin E, Tai S, Schwannauer M (2016). Web based health surveys: Using a Two Step Heckman model to examine their potential for population health analysis.
SOCIAL SCIENCE & MEDICINE,
163, 45-53.
Author URL.
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2015
Morrissey K, Espuny F, Williamson P (2015). A multinomial model for comorbidity in England of long-standing cardiovascular disease, diabetes and obesity. Health & Social Care in the Community, 24(6), 717-727.
Morrissey KM (2015). An Urban-Rural Exploration of Depression, CVD and their Comorbidity in Ireland.
Irish Geography,
47(1), 77-94.
Full text.
Knight PJ, Prime T, Brown JM, Morrissey K, Plater AJ (2015). Application of flood risk modelling in a web-based geospatial decision support tool for coastal adaptation to climate change.
Natural Hazards and Earth System Sciences,
15(7), 1457-1471.
Abstract:
Application of flood risk modelling in a web-based geospatial decision support tool for coastal adaptation to climate change
A pressing problem facing coastal decision makers is the conversion of "high-level" but plausible climate change assessments into an effective basis for climate change adaptation at the local scale. Here, we describe a web-based, geospatial decision support tool (DST) that provides an assessment of the potential flood risk for populated coastal lowlands arising from future sea-level rise, coastal storms, and high river flows. This DST has been developed to support operational and strategic decision making by enabling the user to explore the flood hazard from extreme events, changes in the extent of the flood-prone areas with sea-level rise, and thresholds of sea-level rise where current policy and resource options are no longer viable. The DST is built in an open-source GIS that uses freely available geospatial data. Flood risk assessments from a combination of LISFLOOD-FP and SWAB (Shallow Water and Boussinesq) models are embedded within the tool; the user interface enables interrogation of different combinations of coastal and river events under rising-sea-level scenarios. Users can readily vary the input parameters (sea level, storms, wave height and river flow) relative to the present-day topography and infrastructure to identify combinations where significant regime shifts or "tipping points" occur. Two case studies demonstrate the attributes of the DST with respect to the wider coastal community and the UK energy sector. Examples report on the assets at risk and illustrate the extent of flooding in relation to infrastructure access. This informs an economic assessment of potential losses due to climate change and thus provides local authorities and energy operators with essential information on the feasibility of investment for building resilience into vulnerable components of their area of responsibility.
Abstract.
Morrissey K (2015). Exploring Spatial Variability in the Relationship between Long Term Limiting Illness and Area Level Deprivation at the City Level Using Geographically Weighted Regression.
AIMS Public Health,
2(3), 426-440.
Full text.
Morrissey K (2015). Gender Differences in the Association between Common Mental Disorders and Regional Deprivation in Ireland.
The Professional Geographer,
68(1), 129-137.
Full text.
Watts N, Adger WN, Agnolucci P, Blackstock J, Collins M, Cox PM, Hunter A, Quinn T, Gong P, Montgomery H, et al (2015). Lancet Commission on Health and Climate Change: Policy Responses to Protect Public Health.
Lancet Full text.
Morrissey K, Clarke G, Williamson P, Daly A, O'Donoghue C (2015). Mental Illness in Ireland: Simulating its Geographical Prevalence and the Role of Access to Services.
Environment and Planning B: Planning and Design,
42(2), 338-353.
Abstract:
Mental Illness in Ireland: Simulating its Geographical Prevalence and the Role of Access to Services
Traditionally, Ireland has reported high rates of admissions to acute psychiatric facilities for mental illness in general. However, data limitations mean that there has been no research on the role of access and proximity on rates of admissions to acute psychiatric facilities. The Simulation Model of the Irish Local Economy (SMILE) produces synthetic small-area-level microdata on self-reported rates of depression. The National Psychiatric Inpatient Reporting System (NPIRS) contains spatially referenced data on admissions to acute psychiatric services (both public and private) by diagnosis. Combining the NPIRS and SMILE datasets using propensity score-matching techniques produces a small-area profile of individuals with depression that includes those who have accessed an acute psychiatric facility as well as those who have not. Linking the NPIRS and SMILE datasets allows one to examine the differential characteristics that lead individuals with depression to seek acute psychiatric services and, importantly, to see if access to these services is a confounding factor. Our finding is that access, as measured in terms of road distance, has a significant positive impact on individuals with depression using an acute psychiatric facility.
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Farrell N, Donoghue CO, Morrissey K (2015). Quantifying the uncertainty of wave energy conversion device cost for policy appraisal: an Irish case study. Energy Policy, 78, 62-77.
2014
Morrissey K (2014). A location quotient approach to producing regional production multipliers for the Irish economy. Papers in Regional Science, 95(3), 491-506.
Morrissey K (2014). An inter and intra-regional exploration of the marine sector employment and deprivation in England. The Geographical Journal, 181(3), 295-303.
O’ Donoghue C, Jason L, Karyn M (2014). Microsimulation estimates of the inequality impact of the economic crisis in Ireland. In (Ed) New Pathways in Microsimulation, 29-40.
Morrissey K (2014). Producing regional production multipliers for Irish marine sector policy: a location quotient approach. Ocean & Coastal Management, 91, 58-64.
Morrissey KM (2014). Spatial Microsimulation Modelling: a Review of Applications and Methodological Choices.
The International Journal of Microsimulation,
7(1), 26-75.
Full text.
Morrissey KM (2014). Using geo-computation methods to evaluate public policy.
Evaluator, 13-14.
Full text.
Morrissey K (2014). Using secondary data to examine economic trends in a subset of sectors in the English marine economy: 2003–2011. Marine Policy, 50, 135-141.
2013
Ballas D, Clarke G, Hynes S, Lennon J, Morrissey K, O’Donoghue C (2013). A review of microsimulation for policy analysis. In (Ed)
Advances in Spatial Science, 35-54.
Abstract:
A review of microsimulation for policy analysis
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O’Donoghue C, Ballas D, Clarke G, Hynes S, Lennon J, Morrissey K (2013). Conclusions and next steps. In (Ed)
Advances in Spatial Science, 255-264.
Abstract:
Conclusions and next steps
Abstract.
Hynes S, Morrissey K, O’Donoghue C, Clarke G (2013). Farm level spatial microsimulation modelling. In (Ed)
Advances in Spatial Science, 103-122.
Abstract:
Farm level spatial microsimulation modelling
Abstract.
Ballas D, Clarke G, Hynes S, Morrissey K, O’Donoghue C (2013).
Introduction.Abstract:
Introduction
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Hynes S, Morrissey K, O’Don C (2013). Modelling greenhouse gas emissions from agriculture. In (Ed)
Advances in Spatial Science, 143-157.
Abstract:
Modelling greenhouse gas emissions from agriculture
Abstract.
Morrissey K, Ballas D, Clarke G, Hynes S, O’Donoghue C (2013). Spatial access to health services. In (Ed)
Advances in Spatial Science, 213-230.
Abstract:
Spatial access to health services
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Morrissey K, O'donoghue C, Farrell N (2013). The Local Impact of the Marine Sector in Ireland: a Spatial Microsimulation Analysis. Spatial Economic Analysis, 9(1), 31-50.
O’Donoghue C, Farell N, Morrissey K, Lennon J, Ballas D, Clarke G, Hynes S (2013). The SMILE model: Construction and calibration. In (Ed)
Advances in Spatial Science, 55-86.
Abstract:
The SMILE model: Construction and calibration
Abstract.
Sigfusson T, Arnason R, Morrissey K (2013). The economic importance of the Icelandic fisheries cluster—Understanding the role of fisheries in a small economy. Marine Policy, 39, 154-161.
Clancy D, Breen J, Morrissey K, O’Donoghue C, Thorne F (2013). The location economics of biomass production for electricity generation. In (Ed)
Advances in Spatial Science, 159-175.
Abstract:
The location economics of biomass production for electricity generation
Abstract.
Morrissey K, O'Donoghue C (2013). The potential for an Irish maritime transportation cluster: an input–output analysis. Ocean & Coastal Management, 71, 305-313.
Morrissey K, O’Donoghue C (2013). The role of the marine sector in the Irish national economy: an input–output analysis. Marine Policy, 37, 230-238.
O’Donoghue C, Morrissey K, Hayes P, Loughrey J, Banks J, Hynes S (2013). The spatial distribution of household disposable income. In (Ed)
Advances in Spatial Science, 193-211.
Abstract:
The spatial distribution of household disposable income
Abstract.
O’Donoghue C, Loughrey J, Morrissey K (2013). Using the EU-SILC to model the impact of the economic crisis on inequality.
IZA Journal of European Labor Studies,
2(1).
Abstract:
Using the EU-SILC to model the impact of the economic crisis on inequality
Abstract
. In this paper we attempted to chart the impact of the early part of Ireland’s economic crisis from 2008–2009 on the distribution of income. In order to decompose the impact of changes in different income components, we utilised a microsimulation methodology and the EU-SILC User Database. This simulation based methodology involved the disaggregation of the 6 main benefit variables in the EU-SILC into 17 variables for our tax-benefit model. Validating, our results were positive, giving us confidence in our methodology. We utilised the framework to model changes in the level of income inequality from the period just before the crisis in 2004 to the depth of the worst year of the crisis in 2009. In terms of the impact of the economic crisis, we found that income inequality fell in the early part of the crisis modelled in this paper. Much of this change was due to rising inequality of market incomes, (even when discounting unemployment). This was due to the differential effect of the downturn on different sectors where some sectors such as the construction and public sectors were significantly hit, while the international traded sectors have been relatively immune from the downturn and have seen continued growth. The impact of the tax-benefit system has been to mitigate this upward pressure, with a gradual rise in the redistributive effect of the tax-benefit system driven by an increase in demand on the benefits side and increased progressivity on the tax side.
.
. Jel codes
.
. H22, H55, C15
Abstract.
Morrissey K, O’Donoghue C (2013). Validation issues and the spatial pattern of household income. In (Ed)
Advances in Spatial Science, 87-102.
Abstract:
Validation issues and the spatial pattern of household income
Abstract.
2012
Morrissey K, Daly A, Clarke G, O'Donoghue C, Ballas D (2012). A rural/urban comparison of psychiatric inpatient admissions in Ireland. Journal of Public Mental Health, 11(4), 209-213.
Morrissey KM (2012). Linking static spatial microsimulation modelling to macro models: the Relationship between Access to GP services & Long Term Illness. In Edwards K, Tanton R (Eds.) Microsimulation Methods and Models, London: Springer.
Morrissey KM (2012). SMILE - an Applied Spatial Microsimulation Model for Ireland. In stimson R, haynes K (Eds.) Geography at Work: Applying Geographical Analysis to in the Public and Business Domains, Kluwer Academic Publishers: , 200-217.
Morrissey K, O'Donoghue C, Clarke G, Ballas D, Hynes S (2012). Smile: an applied spatial microsimulation model for ireland. In (Ed) Studies in Applied Geography and Spatial Analysis: Addressing Real World Issues, 79-94.
Morrissey K, O'Donoghue C, Clarke G, Ballas D, Hynes S (2012). Smile: an applied spatial microsimulation model for ireland. In (Ed) Studies in Applied Geography and Spatial Analysis: Addressing Real World Issues, 79-94.
O'Donoghue C, Ballas D, Clarke G, Hynes S, Morrissey K (2012).
Spatial Microsimulation for Rural Policy Analysis., Springer Science & Business Media.
Abstract:
Spatial Microsimulation for Rural Policy Analysis
Abstract.
Morrissey K, O’Donoghue C (2012). The Irish marine economy and regional development. Marine Policy, 36(2), 358-364.
Morrissey K, O'Donoghue C, Clarke G, Li J (2012). Using Simulated Data to Examine the Determinants of Acute Hospital Demand at the Small Area Level. Geographical Analysis, 45(1), 49-76.
2011
Morrissey K, O’Donoghue C, Hynes S (2011). Quantifying the value of multi-sectoral marine commercial activity in Ireland. Marine Policy, 35(5), 721-727.
2010
Morrissey K, Hynes S, Clarke G, O'Donoghue C (2010). Examining the factors associated with depression at the small area level in Ireland using spatial microsimulation techniques. Irish Geography, 43(1), 1-22.
2009
Hynes S, Morrissey K, O'Donoghue C, Clarke G (2009). A spatial micro-simulation analysis of methane emissions from Irish agriculture.
Ecological Complexity,
6(2), 135-146.
Abstract:
A spatial micro-simulation analysis of methane emissions from Irish agriculture
Using micro-simulation modelling techniques this paper examines methane emissions across Irish farms. The effects of a carbon equivalent tax on average family farm income are analysed at both the farm and regional level. The spatial micro-simulation model developed uses a technique called simulated annealing to match the Irish Census of Agriculture data to a National Farm Survey. The main advantage of the spatial micro-simulation approach is the fact that it allows one to account for the heterogeneity in the farm population across space. The results of the modelling process are presented using GIS mapping techniques and highlight the fact that there would be significant regional variation in the burden of an agricultural tax that was based on a rate per unit of methane emissions. The results also demonstrate that if the methane tax revenue raised was redistributed in the form of an environmental subsidy to farmers participating in an agri-environmental scheme (the Rural Environment Protection Scheme (REPS)) it would encourage farmers to participate in the scheme and could also have the effect of moving low income farms up the earnings distribution ladder. © 2008 Elsevier B.V. All rights reserved.
Abstract.
Hynes S, Morrissey K, O'donoghue C, Clarke G (2009). Building a static farm level spatial microsimulation model for rural development and agricultural policy analysis in Ireland.
International Journal of Agricultural Resources, Governance and Ecology,
8(2-4), 282-299.
Abstract:
Building a static farm level spatial microsimulation model for rural development and agricultural policy analysis in Ireland
Using statistical matching techniques, economists can now create attribute rich datasets by matching across the common variables in two or more datasets. The farm level spatial microsimulation model developed in this paper uses one of many combinational optimatisation techniques-simulated annealing-to match the Irish Census of Agriculture to the 2005 Irish National Farm Survey (NFS). Using the new spatially disaggregated farm population microdata this paper then briefly analyses the impact of future common agricultural policy (CAP) reform on the distribution of family farm income in rural Ireland.
Abstract.
Hynes S, Morrissey K, O'Donoghue C, Clarke G (2009). Building a static farm level spatial microsimulation model for rural development and agricultural policy analysis in Ireland. International Journal of Agricultural Resources, Governance and Ecology, 8(2/3/4), 282-282.
2008
Morrissey K, Clarke G, Ballas D, Hynes S, O'Donoghue C (2008). Examining access to GP services in rural Ireland using microsimulation analysis. Area, 40(3), 354-364.
