2021
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Suel E, Bhatt S, Brauer M, Flaxman S, Ezzati M
Multimodal deep learning from satellite and street-level imagery for measuring income, overcrowding, and environmental deprivation in urban areas
Remote Sensing of Environment, 257 , pp. 112339, 2021.
(health inequalities, methodology, urban health)
health inequalities, methodology, urban health
@article{E2021,
title = {Multimodal deep learning from satellite and street-level imagery for measuring income, overcrowding, and environmental deprivation in urban areas},
author = {Suel E and Bhatt S and Brauer M and Flaxman S and Ezzati M},
doi = {10.1016/j.rse.2021.112339},
year = {2021},
date = {2021-05-21},
journal = {Remote Sensing of Environment},
volume = {257},
pages = {112339},
keywords = {health inequalities, methodology, urban health},
pubstate = {published},
tppubtype = {article}
}
|
2020
|
|
NCD Countdown 2030 collaborators
NCD Countdown 2030: pathways to achieving Sustainable Development Goal target 3.4
The Lancet, 396 (10255), pp. 918-934, 2020.
(health forecasting, methodology, non-communicable diseases)
health forecasting, methodology, non-communicable diseases
@article{collaboratorscollaborators2020b,
title = {NCD Countdown 2030: pathways to achieving Sustainable Development Goal target 3.4 },
author = {NCD Countdown 2030 collaborators},
doi = {0.1016/S0140-6736(20)31761-X},
year = {2020},
date = {2020-10-26},
journal = {The Lancet},
volume = {396},
number = {10255},
pages = {918-934},
keywords = {health forecasting, methodology, non-communicable diseases},
pubstate = {published},
tppubtype = {article}
}
|
|
Kontis V, Bennett JE, Rashid T, Parks RM, Pearson-Stuttard J, Guillot M, Asaria P, Zhou B, Battaglini M, Corsetti G, McKee M, Di Cesare M, Mathers CD, Ezzati M
Magnitude, demographics and dynamics of the effect of the first wave of the COVID-19 pandemic on all-cause mortality in 21 industrialized countries
Nature Medicine, 26 , pp. 1919–1928, 2020.
(health forecasting, methodology, miscellaneous)
health forecasting, methodology, miscellaneous
@article{V2020c,
title = {Magnitude, demographics and dynamics of the effect of the first wave of the COVID-19 pandemic on all-cause mortality in 21 industrialized countries},
author = {Kontis V and Bennett JE and Rashid T and Parks RM and Pearson-Stuttard J and Guillot M and Asaria P and Zhou B and Battaglini M and Corsetti G and McKee M and Di Cesare M and Mathers CD and Ezzati M},
doi = {10.1038/s41591-020-1112-0},
year = {2020},
date = {2020-10-14},
journal = {Nature Medicine},
volume = {26},
pages = {1919\textendash1928},
keywords = {health forecasting, methodology, miscellaneous},
pubstate = {published},
tppubtype = {article}
}
|
|
Kontis V, Bennett JE, Parks RM, Rashid T, Pearson-Stuttard J, Asaria P, Guillot M, Blangiardo M, Ezzati E
Age- and sex-specific total mortality impacts of the early weeks of the Covid-19 pandemic in England and Wales: Application of a Bayesian model ensemble to mortality statistics.
medRxiv, 2020.
(health forecasting, methodology, miscellaneous)
health forecasting, methodology, miscellaneous
@article{V2020b,
title = {Age- and sex-specific total mortality impacts of the early weeks of the Covid-19 pandemic in England and Wales: Application of a Bayesian model ensemble to mortality statistics.},
author = {Kontis V and Bennett JE and Parks RM and Rashid T and Pearson-Stuttard J and Asaria P and Guillot M and Blangiardo M and Ezzati E},
doi = {https://doi.org/10.1101/2020.05.20.20107680},
year = {2020},
date = {2020-05-25},
journal = {medRxiv},
keywords = {health forecasting, methodology, miscellaneous},
pubstate = {published},
tppubtype = {article}
}
|
|
Parks RM, Bennett JE, Tamura-Wicks H, Kontis V, Toumi R, Danaei G, Ezzati M
Anomalously warm temperatures are associated with increased injury deaths
Nature Medicine, 26 , pp. 65-70, 2020.
(air pollution and climate, methodology)
air pollution and climate, methodology
@article{RM2020,
title = {Anomalously warm temperatures are associated with increased injury deaths},
author = {Parks RM and Bennett JE and Tamura-Wicks H and Kontis V and Toumi R and Danaei G and Ezzati M},
doi = {10.1038/s41591-019-0721-y},
year = {2020},
date = {2020-01-13},
journal = {Nature Medicine},
volume = {26},
pages = {65-70},
keywords = {air pollution and climate, methodology},
pubstate = {published},
tppubtype = {article}
}
|
2019
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Bennett JE, Tamura-Wicks H, Parks RM, Burnett RT, Pope CA III, Bechle MJ, Marshall JD, Danaei G, Ezzati M
Particulate matter air pollution and national and county life expectancy loss in the USA: A spatiotemporal analysis
PLOS Medicine, 16 (7), pp. e1002856, 2019.
(air pollution and climate, health inequalities, methodology, non-communicable diseases)
air pollution and climate, health inequalities, methodology, non-communicable diseases
@article{JE2019,
title = {Particulate matter air pollution and national and county life expectancy loss in the USA: A spatiotemporal analysis},
author = {Bennett JE and Tamura-Wicks H and Parks RM and Burnett RT and Pope CA III and Bechle MJ and Marshall JD and Danaei G and Ezzati M},
doi = {10.1371/journal.pmed.1002856},
year = {2019},
date = {2019-07-23},
journal = {PLOS Medicine},
volume = {16},
number = {7},
pages = {e1002856},
keywords = {air pollution and climate, health inequalities, methodology, non-communicable diseases},
pubstate = {published},
tppubtype = {article}
}
|
|
Suel E, Polak JW, Bennett JE, Ezzati M
Measuring social, environmental and health inequalities using deep learning and street imagery
Scientific Reports, 9 , pp. 6229, 2019.
(health inequalities, methodology, urban health)
health inequalities, methodology, urban health
@article{E2019,
title = {Measuring social, environmental and health inequalities using deep learning and street imagery},
author = {Suel E and Polak JW and Bennett JE and Ezzati M},
url = {https://www.nature.com/articles/s41598-019-42036-w},
doi = {10.1038/s41598-019-42036-w},
year = {2019},
date = {2019-04-18},
journal = {Scientific Reports},
volume = {9},
pages = {6229},
keywords = {health inequalities, methodology, urban health},
pubstate = {published},
tppubtype = {article}
}
|
2018
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|
Bennett JE, Pearson-Stuttard J, Kontis V, Capewell S, Wolfe I, Ezzati M
Contributions of diseases and injuries to widening life expectancy inequalities in England from 2001 to 2016: a population-based analysis of vital registration data
Lancet Public Health, 3 (12), pp. e586-e597, 2018.
(health inequalities, methodology, non-communicable diseases, urban health)
health inequalities, methodology, non-communicable diseases, urban health
@article{JE2018,
title = {Contributions of diseases and injuries to widening life expectancy inequalities in England from 2001 to 2016: a population-based analysis of vital registration data},
author = {Bennett JE and Pearson-Stuttard J and Kontis V and Capewell S and Wolfe I and Ezzati M},
url = {https://www.thelancet.com/journals/lanpub/article/PIIS2468-2667(18)30214-7/fulltext},
doi = {10.1016/S2468-2667(18)30214-7},
year = {2018},
date = {2018-11-22},
journal = {Lancet Public Health},
volume = {3},
number = {12},
pages = {e586-e597},
keywords = {health inequalities, methodology, non-communicable diseases, urban health},
pubstate = {published},
tppubtype = {article}
}
|
|
Parks RM, Bennett JE, Foreman KJ, Toumi R, Ezzati M
National and regional seasonal dynamics of all-cause and cause-specific mortality in the USA from 1980 to 2016
eLife, 7 , pp. e35500, 2018.
(air pollution and climate, methodology, non-communicable diseases)
air pollution and climate, methodology, non-communicable diseases
@article{RM2018,
title = {National and regional seasonal dynamics of all-cause and cause-specific mortality in the USA from 1980 to 2016},
author = {Parks RM and Bennett JE and Foreman KJ and Toumi R and Ezzati M},
url = {https://elifesciences.org/articles/35500},
doi = {10.7554/eLife.35500},
year = {2018},
date = {2018-10-30},
journal = {eLife},
volume = {7},
pages = {e35500},
keywords = {air pollution and climate, methodology, non-communicable diseases},
pubstate = {published},
tppubtype = {article}
}
|
|
Boulieri A, Bennett JE, Blangiardo M
A Bayesian mixture modeling approach for public health surveillance
Biostatistics, 2018.
(health forecasting, methodology)
health forecasting, methodology
@article{A2018,
title = {A Bayesian mixture modeling approach for public health surveillance},
author = {Boulieri A and Bennett JE and Blangiardo M},
doi = {10.1093/biostatistics/kxy038},
year = {2018},
date = {2018-09-25},
journal = {Biostatistics},
keywords = {health forecasting, methodology},
pubstate = {published},
tppubtype = {article}
}
|
|
NCD Countdown 2030 collaborators
NCD Countdown 2030: worldwide trends in non-communicable disease mortality and progress towards Sustainable Development Goal target 3.4
Lancet, 392 , pp. 1072-1088, 2018.
(health forecasting, methodology, non-communicable diseases)
health forecasting, methodology, non-communicable diseases
@article{collaboratorscollaborators2018,
title = {NCD Countdown 2030: worldwide trends in non-communicable disease mortality and progress towards Sustainable Development Goal target 3.4},
author = {NCD Countdown 2030 collaborators},
url = {https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(18)31992-5/fulltext},
doi = {10.1016/S0140-6736(18)31992-5},
year = {2018},
date = {2018-09-22},
journal = {Lancet},
volume = {392},
pages = {1072-1088},
keywords = {health forecasting, methodology, non-communicable diseases},
pubstate = {published},
tppubtype = {article}
}
|
2017
|
|
Kontis V, Bennett JE, Mathers CD, Li G, Foreman K, Ezzati M
Future life expectancy in 35 industrialised countries: projections with a Bayesian model ensemble
Lancet, 389 (10076), pp. 1323-1335, 2017.
(health forecasting, methodology)
health forecasting, methodology
@article{V*2017,
title = {Future life expectancy in 35 industrialised countries: projections with a Bayesian model ensemble},
author = {Kontis V and Bennett JE and Mathers CD and Li G and Foreman K and Ezzati M},
url = {http://www.thelancet.com/journals/lancet/article/PIIS0140-6736(16)32381-9/fulltext},
doi = {10.1016/S0140-6736(16)32381-9},
year = {2017},
date = {2017-04-01},
journal = {Lancet},
volume = {389},
number = {10076},
pages = {1323-1335},
keywords = {health forecasting, methodology},
pubstate = {published},
tppubtype = {article}
}
|
|
Foreman KJ, Li G, Best N, Ezzati M
Small area forecasts of cause-specific mortality: application of a Bayesian hierarchical model to US vital registration data
Journal of the Royal Statistical Society: Series C (Applied Statistics), 66 (1), pp. 121-139, 2017.
(health forecasting, methodology)
health forecasting, methodology
@article{KJ2016,
title = {Small area forecasts of cause-specific mortality: application of a Bayesian hierarchical model to US vital registration data},
author = {Foreman KJ and Li G and Best N and Ezzati M},
url = {http://onlinelibrary.wiley.com/doi/10.1111/rssc.12157/abstract},
doi = {10.1111/rssc.12157},
year = {2017},
date = {2017-01-01},
journal = {Journal of the Royal Statistical Society: Series C (Applied Statistics)},
volume = {66},
number = {1},
pages = {121-139},
keywords = {health forecasting, methodology},
pubstate = {published},
tppubtype = {article}
}
|
2016
|
|
Shin HH, Cohen AJ, Pope CA 3rd, Ezzati M, Lim SS, Hubbell BJ, Burnett RT
Meta-analysis methods to estimate the shape and uncertainty in the association between long-term exposure to ambient fine particulate matter and cause-specific mortality over the global concentration range
Risk Analysis, 36 (9), pp. 1813-1825, 2016.
(air pollution and climate, methodology)
air pollution and climate, methodology
@article{HH2016,
title = {Meta-analysis methods to estimate the shape and uncertainty in the association between long-term exposure to ambient fine particulate matter and cause-specific mortality over the global concentration range},
author = {Shin HH and Cohen AJ and Pope CA 3rd and Ezzati M and Lim SS and Hubbell BJ and Burnett RT},
url = {http://onlinelibrary.wiley.com/doi/10.1111/risa.12421/full},
doi = {10.1111/risa.12421},
year = {2016},
date = {2016-09-01},
journal = {Risk Analysis},
volume = {36},
number = {9},
pages = {1813-1825},
keywords = {air pollution and climate, methodology},
pubstate = {published},
tppubtype = {article}
}
|
|
Foreman KJ, Naghavi M, Ezzati M
Improving the usefulness of US mortality data: new methods for reclassification of underlying cause of death
Population Health Metrics, 14 , pp. 14, 2016.
(methodology, non-communicable diseases)
methodology, non-communicable diseases
@article{KJ2016b,
title = {Improving the usefulness of US mortality data: new methods for reclassification of underlying cause of death},
author = {Foreman KJ and Naghavi M and Ezzati M},
url = {https://pophealthmetrics.biomedcentral.com/articles/10.1186/s12963-016-0082-4},
doi = {10.1186/s12963-016-0082-4},
year = {2016},
date = {2016-04-28},
journal = {Population Health Metrics},
volume = {14},
pages = {14},
keywords = {methodology, non-communicable diseases},
pubstate = {published},
tppubtype = {article}
}
|
