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ENSO and cholera: A nonstationary link related to climate change?
Open accessAbstract
We present here quantitative evidence for an increased role of interannual climate variability on the temporal dynamics of an infectious disease. The evidence is based on time-series analyses of the relationship between El Niño/Southern Oscillation (ENSO) and cholera prevalence in Bangladesh (formerly Bengal) during two different time periods. A strong and consistent signature of ENSO is apparent in the last two decades (1980–2001), while it is weaker and eventually uncorrelated during the first parts of the last century (1893–1920 and 1920–1940, respectively). Concomitant with these changes, the Southern Oscillation Index (SOI) undergoes shifts in its frequency spectrum. These changes include an intensification of the approximately 4-yr cycle during the recent interval as a response to the well documented Pacific basin regime shift of 1976. This change in remote ENSO modulation alone can only partially serve to substantiate the differences observed in cholera. Regional or basin-wide changes possibly linked to global warming must be invoked that seem to facilitate ENSO transmission. For the recent cholera series and during specific time intervals corresponding to local maxima in ENSO, this climate phenomenon accounts for over 70% of disease variance. This strong association is discontinuous in time and can only be captured with a technique designed to isolate transient couplings.
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“Some studies from South Asian countries have identified increased rates of infectious diseases such as diarrhea [64][65][66][67] and cholera [68,69] with an increase in temperature.”
From Heatwaves in South Asia: Characterization, Consequences on Human Health, and Adaptation Strategies (2022) · cites this paper as [69]
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Metadata
- Authors
- Rodó, X., Pascual, M., Fuchs, G., & Faruque, A. S. G.
- Affiliations
- International Centre for Diarrhoeal Disease Research (BD)
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2002-09-12
- Volume
- 99
- Issue
- 20
- Pages
- 12901-12906
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC130557
- OpenAlex
- W1995628326
- Cited by
- 343
- References
- 40
- Citations by year
- 2026: 6 · 2025: 7 · 2024: 8 · 2023: 8 · 2022: 9 · 2021: 34 · 2020: 15 · 2019: 8 · 2018: 8 · 2017: 32 · 2016: 14 · 2015: 11 · 2014: 15 · 2013: 13 · 2012: 14
- FWCI
- 14.99
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Climate variability and models
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Climate Change and Health Impacts
- Life Sciences › Immunology and Microbiology › Microbiology › Vibrio bacteria research studies
- Keywords
- ENSO, cholera, interannual climate variability, climate-disease association, Southern Oscillation Index, climate change and infectious diseases, Bangladesh
- MeSH terms
- Cholera, Climate, Communicable Diseases, Disease Outbreaks, Environment, Environmental Health, Humans, Temperature, Time Factors, Models, Statistical
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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