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Dr Ireneous Soyiri

Senior Lecturer in Epidemiology

Faculty and Department

  • Faculty of Health Sciences
  • Hull York Medical School

Qualifications

  • PhD

Summary

Dr. Ireneous N. Soyiri (Soyiri) is a Senior Lecturer (Epidemiology and Applied Health Research Methods) in the Hull York Medical School, University of Hull, United Kingdom. He is a Fellow of the Royal Statistical Society (FSS), a Fellow of the Royal Society for Public Health (FRSPH), and holds membership of a number of professional groups.

Soyiri was educated at the University of Ghana, Brunel University London and Monash University. Following his postgraduate Public Health training in Epidemiology and Biostatistics (with special interest in Health Forecasting) at Brunel University London (2010) and Monash University (2012), he continued his academic career and worked with Monash University Malaysia as a Lecturer. Whilst at Malaysia he joined the South East Asia Community Observatory (SEACO), which had just been founded and was beginning an exciting community public health research platform in the SEA region based in Peninsula Malaysia. Working with SEACO as a Statistician was an exciting time to engage with communities but also explore and develop quantitative approaches to examine data quality and analyse population health records.

He recently worked with the University of Edinburgh as a Research Fellow at the Usher Institute of Population Health Sciences & Informatics, and Statistician to the Asthma UK Centre for Applied Research (AUKCAR), with responsibility to support developments in research platforms within AUKCAR. Soyiri continues to work in areas of Population Health Sciences, with a focus on research design, quantitative analyses and the development of research methodologies that will help shed light on the burden of diseases in large populations.

Through his professional works and intellectual contributions, Soyiri maintains links with academic collaborators globally and is keen on research in areas of Population Health.

Recent outputs

View more outputs

Journal Article

Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study

James, S. L., Bertolacci, G. J., Castle, C. D., Dingels, Z. V., Fox, J. T., Hamilton, E. B., …Vos, T. (2020). Estimating global injuries morbidity and mortality: methods and data used in the Global Burden of Disease 2017 study. Injury Prevention, 26, i125-i153. https://doi.org/10.1136/injuryprev-2019-043531

Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17

Reiner, R. C., Local Burden of Disease WaSH Collaborators, , & Soyiri, I. (2020). Mapping geographical inequalities in access to drinking water and sanitation facilities in low-income and middle-income countries, 2000-17. The Lancet global health, 8(9), e1162-e1185. https://doi.org/10.1016/S2214-109X%2820%2930278-3

Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000-17 Local Burden of Disease Diarrhoea Collaborators*

Local Burden of Disease Diarrhoea Collaborators, , & Soyiri, I. (2020). Mapping geographical inequalities in oral rehydration therapy coverage in low-income and middle-income countries, 2000-17 Local Burden of Disease Diarrhoea Collaborators*. The Lancet global health, 8(8), e1038-e1060. https://doi.org/10.1016/S2214-109X%2820%2930230-8

Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000-17: analysis for the Global Burden of Disease Study 2017 Local Burden of Disease Diarrhoea Collaborators*

Soyiri, I., & Local Burden of Disease Diarrhoea Collaborators, . (2020). Mapping geographical inequalities in childhood diarrhoeal morbidity and mortality in low-income and middle-income countries, 2000-17: analysis for the Global Burden of Disease Study 2017 Local Burden of Disease Diarrhoea Collaborators*. Lancet, 395(10239), 1779-1801. https://doi.org/10.1016/S0140-6736%2820%2930114-8

Prevalence and attributable health burden of chronic respiratory diseases, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017

Soriano, J. B., Kendrick, P., Paulson, K., Gupta, V., Vos, T., GBD Chronic Respiratory Disease Collaborators, , & Soyiri, I. (2020). Prevalence and attributable health burden of chronic respiratory diseases, 1990-2017: a systematic analysis for the Global Burden of Disease Study 2017. The lancet. Respiratory medicine, 8(6), 585-596. https://doi.org/10.1016/S2213-2600%2820%2930105-3

Research interests

My areas of interests include Environmental Epidemiology and Population Health. More specifically, estimating the Burden of Diseases across populations, modelling and forecasting healthcare demand such as hospital admissions using routinely collected quantitative data.

I have worked on a number of health surveillance systems around the world, but also dedicated to finding local solutions to public health challenges in my current role.

In addition to performing academic duties (research, teaching and supervising students’ research dissertations), I have expertise and interest in developing research databases for population health surveillance, quantitative data analyses and evaluating Public Health programmes.

Research Fields:

Air Pollution and Health, Asthma, Biostatistics, Environment, Epidemiology, Health Care Sciences & Services, Health Forecasting, Hospital Admissions, Length of Stay, Population Health, Respiratory Health, Statistical Methods, Weather and Health

Membership/Fellowship of professional body

Fellow of the Royal Statistical Society

2016 - 2020

FSS

Fellow of the Royal Society for Public Health

2010 - 2020

FRSPH