2021
|
Kontis V, Bennet JE, Parks RM, Rashid T, Pearson-Stuttard J, Asaria P, Zhou B Guillot M, Mathers CD, Khang YH, McKee M, Ezzati M
Lessons learned and lessons missed: impact of the coronavirus disease 2019 (COVID-19) pandemic on all-cause mortality in 40 industrialised countries prior to mass vaccination
Wellcome Open Research, 6 (279), 2021.
(Health Forecasting, Methodology, Miscellaneous)
Health Forecasting, Methodology, Miscellaneous
@article{V2021,
title = {Lessons learned and lessons missed: impact of the coronavirus disease 2019 (COVID-19) pandemic on all-cause mortality in 40 industrialised countries prior to mass vaccination},
author = {Kontis V and Bennet JE and Parks RM and Rashid T and Pearson-Stuttard J and Asaria P and Zhou B Guillot M and Mathers CD and Khang YH and McKee M and Ezzati M},
doi = {10.12688/wellcomeopenres.17253.1},
year = {2021},
date = {2021-10-16},
journal = {Wellcome Open Research},
volume = {6},
number = {279},
keywords = {Health Forecasting, Methodology, Miscellaneous},
pubstate = {published},
tppubtype = {article}
}
|
Davies B, Parkes BL, Bennett J, Fecht D, Blangiardo M, Ezzati M, Elliott P
Community factors and excess mortality in first wave of the COVID-19 pandemic in England
Nature Communications, 12 (1), pp. 3755, 2021.
(Health Forecasting, Methodology, Miscellaneous)
Health Forecasting, Methodology, Miscellaneous
@article{B2021b,
title = {Community factors and excess mortality in first wave of the COVID-19 pandemic in England},
author = {Davies B and Parkes BL and Bennett J and Fecht D and Blangiardo M and Ezzati M and Elliott P},
doi = {10.1038/s41467-021-23935-x},
year = {2021},
date = {2021-06-18},
journal = {Nature Communications},
volume = {12},
number = {1},
pages = {3755},
keywords = {Health Forecasting, Methodology, Miscellaneous},
pubstate = {published},
tppubtype = {article}
}
|
2020
|
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}
}
|
2018
|
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, Non-Communicable Diseases)
Health Forecasting, 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, 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}
}
|
2015
|
Bennett JE, Li G, Kontis V, Foreman K, Ezzati M
Future inequalities in life expectancy in England and Wales – Authors' reply
Lancet, 386 (10011), pp. 2391-2392, 2015.
(Health Forecasting, Methodology)
Health Forecasting, Methodology
@article{JE2015,
title = {Future inequalities in life expectancy in England and Wales \textendash Authors' reply},
author = {Bennett JE and Li G and Kontis V and Foreman K and Ezzati M},
url = {http://www.thelancet.com/journals/lancet/article/PIIS0140-6736(15)01194-0/fulltext},
doi = {10.1016/S0140-6736(15)01194-0},
year = {2015},
date = {2015-12-12},
journal = {Lancet},
volume = {386},
number = {10011},
pages = {2391-2392},
keywords = {Health Forecasting, Methodology},
pubstate = {published},
tppubtype = {article}
}
|
Kontis V, Mathers CD, Bonita R, Stevens GA, Rehm J, Shield KD, Riley LM, Poznyak V, Jabbour S, Garg RM, Hennis A, Fouad HM, Beaglehole R, Ezzati M
Regional contributions of six preventable risk factors to achieving the 25 × 25 non-communicable disease mortality reduction target: a modelling study
Lancet Global Health, 3 (12), pp. e746–e757, 2015.
(Health Forecasting, Non-Communicable Diseases)
Health Forecasting, Non-Communicable Diseases
@article{V2015,
title = {Regional contributions of six preventable risk factors to achieving the 25 × 25 non-communicable disease mortality reduction target: a modelling study},
author = {Kontis V and Mathers CD and Bonita R and Stevens GA and Rehm J and Shield KD and Riley LM and Poznyak V and Jabbour S and Garg RM and Hennis A and Fouad HM and Beaglehole R and Ezzati M},
url = {http://thelancet.com/journals/langlo/article/PIIS2214-109X%2815%2900179-5/fulltext},
doi = {10.1016/S2214-109X(15)00179-5},
year = {2015},
date = {2015-12-01},
journal = {Lancet Global Health},
volume = {3},
number = {12},
pages = {e746\textendashe757},
keywords = {Health Forecasting, Non-Communicable Diseases},
pubstate = {published},
tppubtype = {article}
}
|
Bennett JE, Li G, Foreman K, Best N, Kontis V, Pearson C, Hambly P, Ezzati M
The future of life expectancy and life expectancy inequalities in England and Wales: Bayesian spatiotemporal forecasting
Lancet, 386 (9989), pp. 163-170, 2015.
(Health Forecasting, Health Inequalities, Methodology, Urban Health)
Health Forecasting, Health Inequalities, Methodology, Urban Health
@article{JE*2015,
title = {The future of life expectancy and life expectancy inequalities in England and Wales: Bayesian spatiotemporal forecasting},
author = {Bennett JE and Li G and Foreman K and Best N and Kontis V and Pearson C and Hambly P and Ezzati M},
url = {http://www.thelancet.com/journals/lancet/article/PIIS0140-6736(15)60296-3/abstract},
doi = {10.1016/S0140-6736(15)60296-3},
year = {2015},
date = {2015-07-11},
journal = {Lancet},
volume = {386},
number = {9989},
pages = {163-170},
keywords = {Health Forecasting, Health Inequalities, Methodology, Urban Health},
pubstate = {published},
tppubtype = {article}
}
|
Pan SC, Ku CC, Kao D, Ezzati M, Fang CT, Lin HH
Effect of diabetes on tuberculosis control in 13 countries with high tuberculosis: a modelling study
Lancet Diabetes & Endocrinology, 3 (5), pp. 323-330, 2015.
(Health Forecasting, Non-Communicable Diseases)
Health Forecasting, Non-Communicable Diseases
@article{SC2015,
title = {Effect of diabetes on tuberculosis control in 13 countries with high tuberculosis: a modelling study},
author = {Pan SC and Ku CC and Kao D and Ezzati M and Fang CT and Lin HH},
url = {http://www.sciencedirect.com/science/article/pii/S221385871500042X},
doi = {10.1016/S2213-8587(15)00042-X},
year = {2015},
date = {2015-05-01},
journal = {Lancet Diabetes & Endocrinology},
volume = {3},
number = {5},
pages = {323-330},
keywords = {Health Forecasting, Non-Communicable Diseases},
pubstate = {published},
tppubtype = {article}
}
|
2014
|
Kontis V, Mathers CD, Rehm J, Stevens GA, Shield KD, Bonita R, Riley LM, Poznyak V, Beaglehole R, Ezzati M
Contribution of six risk factors to achieving the 25×25 non-communicable disease mortality reduction target: a modelling study
Lancet, 384 (9941), pp. 427-437, 2014.
(Health Forecasting, Non-Communicable Diseases)
Health Forecasting, Non-Communicable Diseases
@article{V2014,
title = {Contribution of six risk factors to achieving the 25×25 non-communicable disease mortality reduction target: a modelling study},
author = {Kontis V and Mathers CD and Rehm J and Stevens GA and Shield KD and Bonita R and Riley LM and Poznyak V and Beaglehole R and Ezzati M},
url = {http://www.thelancet.com/journals/lancet/article/PIIS0140-6736(14)60616-4/fulltext},
doi = {10.1016/S0140-6736(14)60616-4},
year = {2014},
date = {2014-08-02},
journal = {Lancet},
volume = {384},
number = {9941},
pages = {427-437},
keywords = {Health Forecasting, Non-Communicable Diseases},
pubstate = {published},
tppubtype = {article}
}
|
2008
|
Lin HH, Murray MM, Cohen T, Colijn C, Ezzati M
Effects of smoking and solid-fuel use on COPD, lung cancer, and tuberculosis in China: a time-based, multiple-risk-factor modelling study
Lancet, 372 (9648), pp. 1473-1483, 2008.
(Air Pollution & Climate, Health Forecasting, Non-Communicable Diseases)
Air Pollution & Climate, Health Forecasting, Non-Communicable Diseases
@article{HH2008,
title = {Effects of smoking and solid-fuel use on COPD, lung cancer, and tuberculosis in China: a time-based, multiple-risk-factor modelling study},
author = {Lin HH and Murray MM and Cohen T and Colijn C and Ezzati M},
url = {http://www.sciencedirect.com/science/article/pii/S0140673608613458},
doi = {10.1016/S0140-6736(08)61345-8},
year = {2008},
date = {2008-10-25},
journal = {Lancet},
volume = {372},
number = {9648},
pages = {1473-1483},
keywords = {Air Pollution & Climate, Health Forecasting, Non-Communicable Diseases},
pubstate = {published},
tppubtype = {article}
}
|
Yeh JM, Kuntz KM, Ezzati M, Hur C, Kong J, Goldie SJ
Development of an empirically calibrated model of gastric cancer in two high-risk countries
Cancer Epidemiology, Biomarkers & Prevention, 17 (5), pp. 1179-1187, 2008.
(Health Forecasting, Non-Communicable Diseases)
Health Forecasting, Non-Communicable Diseases
@article{JM2008b,
title = {Development of an empirically calibrated model of gastric cancer in two high-risk countries},
author = {Yeh JM and Kuntz KM and Ezzati M and Hur C and Kong J and Goldie SJ},
url = {http://cebp.aacrjournals.org/content/17/5/1179.long},
doi = {10.1158/1055-9965.EPI-07-2539},
year = {2008},
date = {2008-05-01},
journal = {Cancer Epidemiology, Biomarkers & Prevention},
volume = {17},
number = {5},
pages = {1179-1187},
keywords = {Health Forecasting, Non-Communicable Diseases},
pubstate = {published},
tppubtype = {article}
}
|
2005
|
Bailis R, Ezzati M, Kammen DM
Mortality and greenhouse gas impacts of biomass and petroleum energy futures in Africa
Science, 308 (5718), pp. 98-103, 2005.
(Air Pollution & Climate, Child Health, Health Forecasting, Non-Communicable Diseases)
Air Pollution & Climate, Child Health, Health Forecasting, Non-Communicable Diseases
@article{R2005b,
title = {Mortality and greenhouse gas impacts of biomass and petroleum energy futures in Africa},
author = {Bailis R and Ezzati M and Kammen DM},
url = {http://science.sciencemag.org/content/308/5718/98},
doi = {10.1126/science.1106881},
year = {2005},
date = {2005-04-01},
journal = {Science},
volume = {308},
number = {5718},
pages = {98-103},
keywords = {Air Pollution & Climate, Child Health, Health Forecasting, Non-Communicable Diseases},
pubstate = {published},
tppubtype = {article}
}
|