Risk, burden, and trend of infectious disease hospitalisations associated with floods: a multicountry, time-series study
Issued Date
2026-01-01
Resource Type
eISSN
25425196
Scopus ID
2-s2.0-105029638239
Pubmed ID
41525773
Journal Title
Lancet Planetary Health
Volume
10
Issue
1
Rights Holder(s)
SCOPUS
Bibliographic Citation
Lancet Planetary Health Vol.10 No.1 (2026) , 101411
Suggested Citation
Yang Z., Huang W., McKenzie J.E., Xu R., Yu P., Chen G., Yu W., Wu Y., Liu Y., Wen B., Hales S., Lavigne E., Ye T., Zhang Y., Coelho M.d.S.Z.S., Matus P., Tantrakarnapa K., Kliengchuay W., Saldiva P.H.N., Zhou S., Xu Z., Ju K., Zhang Y., Guo Y., Li S. Risk, burden, and trend of infectious disease hospitalisations associated with floods: a multicountry, time-series study. Lancet Planetary Health Vol.10 No.1 (2026) , 101411. doi:10.1016/j.lanplh.2025.101411 Retrieved from: https://repository.li.mahidol.ac.th/handle/123456789/115091
Title
Risk, burden, and trend of infectious disease hospitalisations associated with floods: a multicountry, time-series study
Corresponding Author(s)
Other Contributor(s)
Abstract
BACKGROUND: Infectious disease outbreak is one of the most concerning issues in the aftermath of floods. However, knowledge gaps exist in the risk, burden, and trend of infectious disease hospitalisation associated with floods. Therefore, we aimed to quantify the risks, burden, and temporal changes of infectious disease hospitalisations associated with flood exposure during 2000-19. METHODS: In this multicountry, time-series study, hospitalisation data for all communities in Australia, Brazil, Canada, Chile, New Zealand, and Thailand from Jan 1, 2000, to Dec 31, 2019, were collected from local authorities of each country. We retrieved flood events data from the Dartmouth Flood Observatory. Meteorological, population, and gross domestic product data were collected from the European Centre for Medium-Range Weather Forecasts Reanalysis version 5, Landscan, and a previous study. Associations between flood exposure and weekly hospitalisation risks were estimated using a two-stage analytical approach. To examine temporal changes in the associations and the corresponding burden, we estimated relative risks (RRs) and excess rates of hospitalisations from infectious diseases that were attributable to floods for the communities in each country in two periods (2000-09 and 2010-19) using the two-stage analytical approach. FINDINGS: 27 million infectious disease hospitalisation records from 709 communities were included in the analysis. Hospitalisation risks of all-cause infectious, foodborne and waterborne diseases, airborne diseases, skin and mucous-membrane infections, and sexually transmitted infections increased for up to 26 weeks following flood exposure. For each 1-week flood exposure, the associated RR (mean across 26 weeks) after flood exposure was 1·006 (95% CI 1·002-1·009) for all-cause infectious diseases, 1·008 (1·003-1·012) for foodborne and waterborne diseases, 1·004 (1·001-1·008) for airborne diseases, 1·010 (1·005-1·015) for skin and mucous-membrane infections, and 1·032 (1·025-1·039) for sexually transmitted infections. Changes in RRs were observed between 2000-09 and 2010-19 across countries. In 2010-19, the excess rate of all-cause infectious disease hospitalisations was the highest in Australia, which was 150·0 (95% empirical CI 115·8-183·2) admissions per million person-years. INTERPRETATION: Flood exposure was associated with increased hospitalisation risks for foodborne and waterborne diseases, airborne diseases, skin and mucous-membrane infections, and sexually transmitted infections, lasting for up to 26 weeks after flooding. With the projected increases in severity, duration, and frequency of floods under climate change, greater efforts are warranted to review and improve the current adaptation strategies, disaster response protocols, health system resilience, and disease surveillance systems. FUNDING: Australian Research Council, Australian National Health and Medical Research Council, National Research Council of Thailand.