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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 us

New zealandCity ofUnited kingdomCzech republicUnited statesSouth australiaXerxes seposoAlexandra schneiderMaria vicedo cabreraAurelio tobiasVeronika huberAriana zekaAntonella zanobettiRosana abrutzkyYasushi hondaFiorella acquaotta