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Mortality Risks Associated with Floods in 761 Communities Worldwide: Time Series Study by Zhengyu Yang; Wenzhong Huang; Joanne E McKenzie; Rongbin Xu; Pei Yu; Tingting Ye; Bo Wen; Antonio Gasparrini; Ben Armstrong; Shilu Tong; Eric Lavigne; Joana Madureira; Jan Kyselý; Yuming Guo; Shanshan Li; Rosana Abrutzky; Micheline de Sousa Zanotti Stagliorio Coelho Coelho; Paulo Hilario Nascimento Saldiva; Nicolás Valdés Ortega; Patricia Matus Correa; Haidong Kan; Samuel Osorio; Aleš Urban; Francesco Sera; Mathilde Pascal; Alexandra Schneider; Veronika Huber; Ariana Zeka; Patrick Goodman; Francesca de’Donato; Paola Michelozzi; Masahiro Hashizume; Yoonhee Kim; César De la Cruz Valencia; Magali Hurtado Diaz; Ala Overcenco; Caroline Ameling; Danny Houthuijs; Gabriel Carrasco-Escobar; Xerxes Seposo; Baltazar Nunes; Iulian-Horia Holobaca; Ana Maria Vicedo-Cabrera; Aurelio Tobias; Jouni J K Jaakkola; Yasushi Honda; Fiorella Acquaotta; Noah Scovronick; Ho Kim; Whanhee Lee; Carmen Íñiguez; Martina S Ragettli; Shih-Chun Pan; Yue Leon Guo; Antonella Zanobetti; Joel Schwartz; Simon Hales is a Health Professions article available to read on EtoBox.

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## Abstract ## Objective To evaluate lag-response associations and effect modifications of exposure to floods with risks of all cause, cardiovascular, and respiratory mortality on a global scale. ## Design Time series study. ## Setting 761 communities in 35 countries or territories with at least one flood event during the study period. ## Participants Multi-Country Multi-City Collaborative Research Network database, Australian Cause of Death Unit Record File, New Zealand Integrated Data Infrastructure, and the International Network for the Demographic Evaluation of Populations and their Health Network database. ## Main outcome measures The main outcome was daily counts of deaths. An estimation for the lag-response association between flood and daily mortality risk was modelled, and the relative risks over the lag period were cumulated to calculate overall effects. Attributable fractions of mortality due to floods were further calculated. A quasi-Poisson model with a distributed lag non-linear function was used to examine how daily death risk was associated with flooded days in each community, and then the community specific associations were pooled using random effects multivariate

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Author

Zhengyu Yang; Wenzhong Huang; Joanne E McKenzie; Rongbin Xu; Pei Yu; Tingting Ye; Bo Wen; Antonio Gasparrini; Ben Armstrong; Shilu Tong; Eric Lavigne; Joana Madureira; Jan Kyselý; Yuming Guo; Shanshan Li; Rosana Abrutzky; Micheline de Sousa Zanotti Stagliorio Coelho Coelho; Paulo Hilario Nascimento Saldiva; Nicolás Valdés Ortega; Patricia Matus Correa; Haidong Kan; Samuel Osorio; Aleš Urban; Francesco Sera; Mathilde Pascal; Alexandra Schneider; Veronika Huber; Ariana Zeka; Patrick Goodman; Francesca de’Donato; Paola Michelozzi; Masahiro Hashizume; Yoonhee Kim; César De la Cruz Valencia; Magali Hurtado Diaz; Ala Overcenco; Caroline Ameling; Danny Houthuijs; Gabriel Carrasco-Escobar; Xerxes Seposo; Baltazar Nunes; Iulian-Horia Holobaca; Ana Maria Vicedo-Cabrera; Aurelio Tobias; Jouni J K Jaakkola; Yasushi Honda; Fiorella Acquaotta; Noah Scovronick; Ho Kim; Whanhee Lee; Carmen Íñiguez; Martina S Ragettli; Shih-Chun Pan; Yue Leon Guo; Antonella Zanobetti; Joel Schwartz; Simon Hales

Publisher

BMJ

Published

2023

Field

Health Professions (Health Sciences)