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Linkages Between Extreme Precipitation, Water Quality, and Gastrointestinal Illness.

dc.contributor.authorBush, Kathleen F.en_US
dc.date.accessioned2012-06-15T17:30:52Z
dc.date.availableNO_RESTRICTIONen_US
dc.date.available2012-06-15T17:30:52Z
dc.date.issued2012en_US
dc.date.submitted2012en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/91518
dc.description.abstractBackground: The frequency, intensity, and duration of extreme weather events are expected to increase based on current climate model projections. Such changes, particularly those associated with extreme precipitation, will likely threaten water quality and exacerbate global health disparities. Vulnerable subpopulations include children, the elderly, and the poor. Objectives: This dissertation evaluates the association between extreme precipitation and hospital admissions among: 1) a population in Chennai, India during 2004-2007, 2) the elderly in the Great Lakes Region in relation to beach closures during 2000-2006, and 3) the elderly in 132 U.S. cities during 1992-2006. Methods: Daily hospital admissions were merged with daily meteorological data. Hospital admissions were examined for seasonal trends. Poisson regression and case-crossover models were fit to evaluate the association between extreme precipitation and daily hospital admissions. Season and age were explored as potential effect modifiers. Results: In India, extreme precipitation (greater than or equal to the 90th percentile) was positively associated with hospital admissions related to gastrointestinal illness (GI). The cumulative risk, estimated over a 15-day lag period, was 1.61 (95% confidence interval (CI): 1.29, 2.00) and was elevated among the young 2.65 (95% CI: 1.21, 5.80) and the old 1.68 (95% CI: 1.01, 2.80). Risk varied across seasons, peaking during pre-monsoon 1.58 (95% CI: 1.24, 1.90). In the Great Lakes Region, beaches were closed 10% of summer days. Precipitation above the 90th percentile at lag 1 significantly predicted (p <0.05) beach closures in 8 of the 12 cities. No consistent associations between beach closures and hospital admissions were seen when pooled across the 12 cities, 0.98 (95% CI: 0.94, 1.01). In 132 U.S. cities, nearly 1 million GI-related hospital admissions occurred. Overall, no positive associations between extreme precipitation and GI-related hospital admissions were observed. The overall national pooled estimate for risk of GI-related hospital admission at lag 15 was 1.01 (95% CI: 1.00, 1.02). Conclusions: This work highlights the potential impacts of climate change on waterborne disease in the U.S. and India. The threat of more extreme weather events necessitates further study of how climate and weather are associated with hospital admissions and overall health.en_US
dc.language.isoen_USen_US
dc.subjectClimate Changeen_US
dc.subjectExtreme Precipitationen_US
dc.subjectGastrointestinal Illnessen_US
dc.subjectTime-series Analysisen_US
dc.subjectUnited Statesen_US
dc.subjectIndiaen_US
dc.titleLinkages Between Extreme Precipitation, Water Quality, and Gastrointestinal Illness.en_US
dc.typeThesisen_US
dc.description.thesisdegreenamePhDen_US
dc.description.thesisdegreedisciplineEnvironmental Health Sciencesen_US
dc.description.thesisdegreegrantorUniversity of Michigan, Horace H. Rackham School of Graduate Studiesen_US
dc.contributor.committeememberO'Neill, Marie Sylviaen_US
dc.contributor.committeememberBrown, Danen_US
dc.contributor.committeememberEisenberg, Joseph Neilen_US
dc.contributor.committeememberHu, Howarden_US
dc.contributor.committeememberMukherjee, Bhramaren_US
dc.subject.hlbsecondlevelPublic Healthen_US
dc.subject.hlbsecondlevelStatistics and Numeric Dataen_US
dc.subject.hlbtoplevelHealth Sciencesen_US
dc.subject.hlbtoplevelScienceen_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/91518/1/kfbush_1.pdf
dc.owningcollnameDissertations and Theses (Ph.D. and Master's)


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