Imperial College London

ProfessorMajidEzzati

Faculty of MedicineSchool of Public Health

Chair in Global Environmental Health
 
 
 
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Contact

 

+44 (0)20 7594 0767majid.ezzati Website

 
 
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Location

 

Norfolk PlaceSt Mary's Campus

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Summary

 

Summary

I trained in electrical and computer engineering, before doing a PhD in Science, Technology and Environmental Policy. I now direct a research programme that combines concepts, data and methods from a range of environmental, health, social and quantitative sciences to answer important questions in global health.  We collect and analyse primary field data, and also develop and apply analytical models to a combination of primary and secondary data.  You can learn about our research and about the members of our highly interdisciplinary research group through the Global Environmental Health Research Group page.

Publications

Journals

Lim S, Bassey E, Bos B, et al., 2022, Comparing human exposure to fine particulate matter in low and high-income countries: A systematic review of studies measuring personal PM2.5 exposure, Science of the Total Environment, Vol:833, ISSN:0048-9697

Tetteh JD, Templeton M, Cavanaugh A, et al., 2022, Spatial heterogeneity in drinking water sources in the Greater Accra Metropolitan Area (GAMA), Ghana, Population and Environment, ISSN:0199-0039

Moulds S, Chan ACH, Tetteh JD, et al., 2022, Sachet water in Ghana: a spatiotemporal analysis of the recent upward trend in consumption and its relationship with changing household characteristics, 2010-2017, Plos One, Vol:17, ISSN:1932-6203, Pages:1-22

Ikeda N, Nakaya T, Bennett J, et al., 2022, Trends and disparities in adult body mass index across the 47 prefectures of Japan, 1975-2018: a bayesian spatiotemporal analysis of national household surveys, Frontiers in Public Health, Vol:10, ISSN:2296-2565, Pages:1-9

Stevens GA, Paciorek CJ, Flores-Urrutia MC, et al., 2022, National, regional, and global estimates of anaemia by severity in women and children for 2000-19: a pooled analysis of population-representative data, The Lancet Global Health, Vol:10, ISSN:2214-109X, Pages:e627-e639

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