The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index.
The Association Between Extreme Precipitation and Waterborne Disease Outbreaks in the United States, 1948–1994
Open accessAbstract
Objectives. Rainfall and runoff have been implicated in site-specific waterborne disease outbreaks. Because upward trends in heavy precipitation in the United States are projected to increase with climate change, this study sought to quantify the relationship between precipitation and disease outbreaks. Methods. The US Environmental Protection Agency waterborne disease database, totaling 548 reported outbreaks from 1948 through 1994, and precipitation data of the National Climatic Data Center were used to analyze the relationship between precipitation and waterborne diseases. Analyses were at the watershed level, stratified by groundwater and surface water contamination and controlled for effects due to season and hydrologic region. A Monte Carlo version of the Fisher exact test was used to test for statistical significance. Results. Fifty-one percent of waterborne disease outbreaks were preceded by precipitation events above the 90th percentile (P = .002), and 68% by events above the 80th percentile (P = .001). Outbreaks due to surface water contamination showed the strongest association with extreme precipitation during the month of the outbreak; a 2-month lag applied to groundwater contamination events. Conclusions. The statistically significant association found between rainfall and disease in the United States is important for water managers, public health officials, and risk assessors of future climate change.
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Cites
An Introduction to Categorical Data Analysis
Agresti, A. (2007) · Wiley Series in Probability and Statistics · doi:10.1002/0470114754 · Cited by 6,689
Surveillance for waterborne-disease outbreaks--United States, 1993-1994.
Kramer, M. H., Herwaldt, B. L., Craun, G. F., Calderon, R. L., & Juranek, D. D. (1996) · PubMed · Cited by 2,059
Emerging Marine Diseases--Climate Links and Anthropogenic Factors
Harvell, C. D., Kim, K., Burkholder, J. M., Colwell, R. R., Epstein, P. R., Grimes, D. J., Hofmann, E. E., Lipp, E. K., Osterhaus, A. D. M. E., Overstreet, R. M., et al. (1999) · Science · doi:10.1126/science.285.5433.1505 · Cited by 1,834
Mac Kenzie, W. R., Hoxie, N. J., Proctor, M. E., Gradus, M. S., Blair, K. A., Peterson, D. E., Kazmierczak, J. J., Addiss, D. G., Fox, K. R., Rose, J. B., et al. (1994) · New England Journal of Medicine · doi:10.1056/nejm199407213310304 · Cited by 1,732
Self-citation(1994) · New England Journal of Medicine · doi:10.1056/nejm199410133311527 · Cited by 1,531
Secular Trends of Precipitation Amount, Frequency, and Intensity in the United States
Karl, T. R., & Knight, R. W. (1998) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1998)079<0231:stopaf>2.0.co;2 · Cited by 1,319
Cryptosporidium spp. and cryptosporidiosis
Fayer, R., & Ungar, B. L. (1986) · Microbiological Reviews · doi:10.1128/mr.50.4.458-483.1986 · Cited by 1,186
Trends in high-frequency climate variability in the twentieth century
Karl, T. R., Knight, R. W., & Plummer, N. (1995) · Nature · doi:10.1038/377217a0 · Cited by 697
Conceptual Framework for Changes of Extremes of the Hydrological Cycle With Climate Change
Trenberth, K. E. (1999) · Weather and Climate Extremes · doi:10.1007/978-94-015-9265-9_18 · Cited by 587
Indices of Climate Change for the United States
Karl, T. R., Knight, R. W., Easterling, D. R., & Quayle, R. G. (1996) · Bulletin of the American Meteorological Society · doi:10.1175/1520-0477(1996)077<0279:ioccft>2.0.co;2 · Cited by 581
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Climate change and human health: present and future risks
McMichael, A. J., Woodruff, R. E., & Hales, S. (2006) · The Lancet · doi:10.1016/s0140-6736(06)68079-3 · Cited by 2,585
Impacts of climate change on surface water quality in relation to drinking water production
Delpla, I., Jung, A.-V., Baures, E., Clement, M., & Thomas, O. (2009) · Environment International · doi:10.1016/j.envint.2009.07.001 · Cited by 1,070
Global and Regional Increase of Precipitation Extremes Under Global Warming
Papalexiou, S. M., & Montanari, A. (2019) · Water Resources Research · doi:10.1029/2018wr024067 · Cited by 721
Climate Change: The Public Health Response
Frumkin, H., Hess, J., Luber, G., Malilay, J., & McGeehin, M. (2008) · American Journal of Public Health · doi:10.2105/ajph.2007.119362 · Cited by 623
Human health impacts of ecosystem alteration
Myers, S. S., Gaffikin, L., Golden, C. D., Ostfeld, R. S., H. Redford, K., H. Ricketts, T., Turner, W. R., & Osofsky, S. A. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1218656110 · Cited by 501
Metadata
- Authors
- Curriero, F. C., Patz, J. A., Rose, J. B., & Lele, S.
- Venue
- American Journal of Public Health
- Publisher
- American Public Health Association
- Published
- 2001-08
- Volume
- 91
- Issue
- 8
- Pages
- 1194-1199
- ISSN
- 0090-0036 (ISSN-L)
- 1541-0048
- OpenAlex
- W2168785369
- Cited by
- 928
- References
- 24
- FWCI
- 30.68
- Type
- journal article
- Language
- en
- Open access
- green
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