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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-zealand
Bristol
City-of
United-kingdom
Czech-republic
Philippines
United-states
China
Australia
Bangladesh
Beijing
Portugal
Long-term exposure to air pollutants has been linked to an increased risk of acute kidney injury (AKI), even at low concentrations. This increases the need for hospitalization. According to a new study using a cohort of more than 61 million Medicare beneficiaries in the United States, exposure to air pollutants, specifically, fine particulate matter, ozone, and nitrogen dioxide, is associated with first hospital admission for AKI. The findings provide implications for updating public health-related policies.
Yangsan
Kyongsang-namdo
South-korea
United-states
Miryang
Chicago
Illinois
California
National-university
New-york
Busan
Pusan-gwangyoksi