Mortality risks associated with floods in 761 communities worldwide: time series study
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378289%3A_____%2F23%3A00576916" target="_blank" >RIV/68378289:_____/23:00576916 - isvavai.cz</a>
Alternative codes found
RIV/60460709:41330/23:97582
Result on the web
<a href="https://www.bmj.com/content/383/bmj-2023-075081" target="_blank" >https://www.bmj.com/content/383/bmj-2023-075081</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1136/bmj-2023-075081" target="_blank" >10.1136/bmj-2023-075081</a>
Alternative languages
Result language
angličtina
Original language name
Mortality risks associated with floods in 761 communities worldwide: time series study
Original language description
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 meta-analyses. Flooded days were defined as days from the start date to the end date of flood events. Results: A total of 47.6 million all cause deaths, 11.1 million cardiovascular deaths, and 4.9 million respiratory deaths were analysed. Over the 761 communities, mortality risks increased and persisted for up to 60 days (50 days for cardiovascular mortality) after a flooded day. The cumulative relative risks for all cause, cardiovascular, and respiratory mortality were 1.021 (95% confidence interval 1.006 to 1.036), 1.026 (1.005 to 1.047), and 1.049 (1.008 to 1.092), respectively. The associations varied across countries or territories and regions. The flood-mortality associations appeared to be modified by climate type and were stronger in low income countries and in populations with a low human development index or high proportion of older people. In communities impacted by flood, up to 0.10% of all cause deaths, 0.18% of cardiovascular deaths, and 0.41% of respiratory deaths were attributed to floods. Conclusions: This study found that the risks of all cause, cardiovascular, and respiratory mortality increased for up to 60 days after exposure to flood and the associations could vary by local climate type, socioeconomic status, and older age.
Czech name
—
Czech description
—
Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
—
OECD FORD branch
10509 - Meteorology and atmospheric sciences
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
British Medical Journal
ISSN
0959-535X
e-ISSN
—
Volume of the periodical
383
Issue of the periodical within the volume
Oct
Country of publishing house
GB - UNITED KINGDOM
Number of pages
10
Pages from-to
e075081
UT code for WoS article
001102353800002
EID of the result in the Scopus database
2-s2.0-85174352727