Understanding the Impact of Rainfall on Diarrhea: Testing the Concentration-Dilution Hypothesis Using a Systematic Review and Meta-Analysis
Projected increases in extreme weather may change relationships between rain-related climate exposures and diarrheal disease. Whether rainfall increases or decreases diarrhea rates is unclear based on prior literature. The concentration-dilution hypothesis suggests that these conflicting results are...
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description | Projected increases in extreme weather may change relationships between rain-related climate exposures and diarrheal disease. Whether rainfall increases or decreases diarrhea rates is unclear based on prior literature. The concentration-dilution hypothesis suggests that these conflicting results are explained by the background level of rain: Rainfall following dry periods can flush pathogens into surface water, increasing diarrhea incidence, whereas rainfall following wet periods can dilute pathogen concentrations in surface water, thereby decreasing diarrhea incidence.
In this analysis, we explored the extent to which the concentration-dilution hypothesis is supported by published literature.
To this end, we conducted a systematic search for articles assessing the relationship between rain, extreme rain, flood, drought, and season (rainy vs. dry) and diarrheal illness.
A total of 111 articles met our inclusion criteria. Overall, the literature largely supports the concentration-dilution hypothesis. In particular, extreme rain was associated with increased diarrhea when it followed a dry period [incidence rate ratio
; 95% confidence interval (CI): 1.05, 1.51], with a tendency toward an inverse association for extreme rain following wet periods, albeit nonsignificant, with one of four relevant studies showing a significant inverse association (
; 95% CI: 0.771, 1.08). Incidences of bacterial and parasitic diarrhea were more common during rainy seasons, providing pathogen-specific support for a concentration mechanism, but rotavirus diarrhea showed the opposite association. Information on timing of cases within the rainy season (e.g., early vs. late) was lacking, limiting further analysis. We did not find a linear association between nonextreme rain exposures and diarrheal disease, but several studies found a nonlinear association with low and high rain both being associated with diarrhea.
Our meta-analysis suggests that the effect of rainfall depends on the antecedent conditions. Future studies should use standard, clearly defined exposure variables to strengthen understanding of the relationship between rainfall and diarrheal illness. https://doi.org/10.1289/EHP6181. |
doi_str_mv | 10.1289/EHP6181 |
format | Article |
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In this analysis, we explored the extent to which the concentration-dilution hypothesis is supported by published literature.
To this end, we conducted a systematic search for articles assessing the relationship between rain, extreme rain, flood, drought, and season (rainy vs. dry) and diarrheal illness.
A total of 111 articles met our inclusion criteria. Overall, the literature largely supports the concentration-dilution hypothesis. In particular, extreme rain was associated with increased diarrhea when it followed a dry period [incidence rate ratio
; 95% confidence interval (CI): 1.05, 1.51], with a tendency toward an inverse association for extreme rain following wet periods, albeit nonsignificant, with one of four relevant studies showing a significant inverse association (
; 95% CI: 0.771, 1.08). Incidences of bacterial and parasitic diarrhea were more common during rainy seasons, providing pathogen-specific support for a concentration mechanism, but rotavirus diarrhea showed the opposite association. Information on timing of cases within the rainy season (e.g., early vs. late) was lacking, limiting further analysis. We did not find a linear association between nonextreme rain exposures and diarrheal disease, but several studies found a nonlinear association with low and high rain both being associated with diarrhea.
Our meta-analysis suggests that the effect of rainfall depends on the antecedent conditions. Future studies should use standard, clearly defined exposure variables to strengthen understanding of the relationship between rainfall and diarrheal illness. https://doi.org/10.1289/EHP6181.</description><identifier>ISSN: 0091-6765</identifier><identifier>EISSN: 1552-9924</identifier><identifier>DOI: 10.1289/EHP6181</identifier><identifier>PMID: 33284047</identifier><language>eng</language><publisher>United States: National Institute of Environmental Health Sciences</publisher><subject>Case reports ; Causes of ; Climate change ; Climatic changes ; Confidence intervals ; Diarrhea ; Diarrhea - epidemiology ; Dilution ; Disease ; Drought ; Environmental Exposure - statistics & numerical data ; Exposure ; Extreme weather ; Floods ; Health aspects ; Hypotheses ; Illnesses ; Meta-analysis ; Pathogens ; Precipitation ; Public health ; Rain ; Rain and rainfall ; Rainfall ; Rainy season ; Review ; Risk factors ; Rotavirus ; Seasons ; Surface water ; Systematic review ; Variables ; Water Microbiology ; Weather</subject><ispartof>Environmental health perspectives, 2020-12, Vol.128 (12), p.126001</ispartof><rights>COPYRIGHT 2020 National Institute of Environmental Health Sciences</rights><rights>Reproduced from Environmental Health Perspectives. This article is published under https://ehp.niehs.nih.gov/about-ehp/copyright-permissions (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c639t-150663aa19db2547b81f77f4636f6bc9285d71586cc13c170bdc04857169812e3</citedby><cites>FETCH-LOGICAL-c639t-150663aa19db2547b81f77f4636f6bc9285d71586cc13c170bdc04857169812e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7720804/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7720804/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33284047$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kraay, Alicia N M</creatorcontrib><creatorcontrib>Man, Olivia</creatorcontrib><creatorcontrib>Levy, Morgan C</creatorcontrib><creatorcontrib>Levy, Karen</creatorcontrib><creatorcontrib>Ionides, Edward</creatorcontrib><creatorcontrib>Eisenberg, Joseph N S</creatorcontrib><title>Understanding the Impact of Rainfall on Diarrhea: Testing the Concentration-Dilution Hypothesis Using a Systematic Review and Meta-Analysis</title><title>Environmental health perspectives</title><addtitle>Environ Health Perspect</addtitle><description>Projected increases in extreme weather may change relationships between rain-related climate exposures and diarrheal disease. Whether rainfall increases or decreases diarrhea rates is unclear based on prior literature. The concentration-dilution hypothesis suggests that these conflicting results are explained by the background level of rain: Rainfall following dry periods can flush pathogens into surface water, increasing diarrhea incidence, whereas rainfall following wet periods can dilute pathogen concentrations in surface water, thereby decreasing diarrhea incidence.
In this analysis, we explored the extent to which the concentration-dilution hypothesis is supported by published literature.
To this end, we conducted a systematic search for articles assessing the relationship between rain, extreme rain, flood, drought, and season (rainy vs. dry) and diarrheal illness.
A total of 111 articles met our inclusion criteria. Overall, the literature largely supports the concentration-dilution hypothesis. In particular, extreme rain was associated with increased diarrhea when it followed a dry period [incidence rate ratio
; 95% confidence interval (CI): 1.05, 1.51], with a tendency toward an inverse association for extreme rain following wet periods, albeit nonsignificant, with one of four relevant studies showing a significant inverse association (
; 95% CI: 0.771, 1.08). Incidences of bacterial and parasitic diarrhea were more common during rainy seasons, providing pathogen-specific support for a concentration mechanism, but rotavirus diarrhea showed the opposite association. Information on timing of cases within the rainy season (e.g., early vs. late) was lacking, limiting further analysis. We did not find a linear association between nonextreme rain exposures and diarrheal disease, but several studies found a nonlinear association with low and high rain both being associated with diarrhea.
Our meta-analysis suggests that the effect of rainfall depends on the antecedent conditions. Future studies should use standard, clearly defined exposure variables to strengthen understanding of the relationship between rainfall and diarrheal illness. https://doi.org/10.1289/EHP6181.</description><subject>Case reports</subject><subject>Causes of</subject><subject>Climate change</subject><subject>Climatic changes</subject><subject>Confidence intervals</subject><subject>Diarrhea</subject><subject>Diarrhea - epidemiology</subject><subject>Dilution</subject><subject>Disease</subject><subject>Drought</subject><subject>Environmental Exposure - statistics & numerical data</subject><subject>Exposure</subject><subject>Extreme weather</subject><subject>Floods</subject><subject>Health aspects</subject><subject>Hypotheses</subject><subject>Illnesses</subject><subject>Meta-analysis</subject><subject>Pathogens</subject><subject>Precipitation</subject><subject>Public health</subject><subject>Rain</subject><subject>Rain and rainfall</subject><subject>Rainfall</subject><subject>Rainy season</subject><subject>Review</subject><subject>Risk factors</subject><subject>Rotavirus</subject><subject>Seasons</subject><subject>Surface water</subject><subject>Systematic review</subject><subject>Variables</subject><subject>Water 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perspectives</jtitle><addtitle>Environ Health Perspect</addtitle><date>2020-12-01</date><risdate>2020</risdate><volume>128</volume><issue>12</issue><spage>126001</spage><pages>126001-</pages><issn>0091-6765</issn><eissn>1552-9924</eissn><abstract>Projected increases in extreme weather may change relationships between rain-related climate exposures and diarrheal disease. Whether rainfall increases or decreases diarrhea rates is unclear based on prior literature. The concentration-dilution hypothesis suggests that these conflicting results are explained by the background level of rain: Rainfall following dry periods can flush pathogens into surface water, increasing diarrhea incidence, whereas rainfall following wet periods can dilute pathogen concentrations in surface water, thereby decreasing diarrhea incidence.
In this analysis, we explored the extent to which the concentration-dilution hypothesis is supported by published literature.
To this end, we conducted a systematic search for articles assessing the relationship between rain, extreme rain, flood, drought, and season (rainy vs. dry) and diarrheal illness.
A total of 111 articles met our inclusion criteria. Overall, the literature largely supports the concentration-dilution hypothesis. In particular, extreme rain was associated with increased diarrhea when it followed a dry period [incidence rate ratio
; 95% confidence interval (CI): 1.05, 1.51], with a tendency toward an inverse association for extreme rain following wet periods, albeit nonsignificant, with one of four relevant studies showing a significant inverse association (
; 95% CI: 0.771, 1.08). Incidences of bacterial and parasitic diarrhea were more common during rainy seasons, providing pathogen-specific support for a concentration mechanism, but rotavirus diarrhea showed the opposite association. Information on timing of cases within the rainy season (e.g., early vs. late) was lacking, limiting further analysis. We did not find a linear association between nonextreme rain exposures and diarrheal disease, but several studies found a nonlinear association with low and high rain both being associated with diarrhea.
Our meta-analysis suggests that the effect of rainfall depends on the antecedent conditions. Future studies should use standard, clearly defined exposure variables to strengthen understanding of the relationship between rainfall and diarrheal illness. https://doi.org/10.1289/EHP6181.</abstract><cop>United States</cop><pub>National Institute of Environmental Health Sciences</pub><pmid>33284047</pmid><doi>10.1289/EHP6181</doi><oa>free_for_read</oa></addata></record> |
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source | Jstor Complete Legacy; MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; PubMed Central Open Access |
subjects | Case reports Causes of Climate change Climatic changes Confidence intervals Diarrhea Diarrhea - epidemiology Dilution Disease Drought Environmental Exposure - statistics & numerical data Exposure Extreme weather Floods Health aspects Hypotheses Illnesses Meta-analysis Pathogens Precipitation Public health Rain Rain and rainfall Rainfall Rainy season Review Risk factors Rotavirus Seasons Surface water Systematic review Variables Water Microbiology Weather |
title | Understanding the Impact of Rainfall on Diarrhea: Testing the Concentration-Dilution Hypothesis Using a Systematic Review and Meta-Analysis |
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