Journal article
A statewide outbreak of Cryptosporidium and its association with the distribution of public swimming pools
Epidemiology and infection, Vol.140(8), pp.1439-1445
08/2012
DOI: 10.1017/S0950268811000987
PMCID: PMC4349681
PMID: 21943664
Abstract
In order to characterize the association between county-level risk factors and the incidence of Cryptosporidium in the 2007 Iowa outbreak, we used generalized linear mixed models with the number of Cryptosporidium cases per county as the dependent variable. We employed a spatial power covariance structure, which assumed that the correlation between the numbers of cases in any two counties decreases as the distance between them increases. County population size was included in the model to adjust for population differences. Independent variables included the number of pools in specific pool categories (large, small, spa, wading, waterslide) and pool-owner classes (apartment, camp, country club or health club, hotel, municipal, school, other) as well as the proportion of residents aged <5 years. We found that increases in the number of bigger pools, pools with more heterogeneous mixing (municipal pools vs. country club or apartment pools), and pools catering to young children (wading pools) are associated with more cases at the county level.
Details
- Title: Subtitle
- A statewide outbreak of Cryptosporidium and its association with the distribution of public swimming pools
- Creators
- P M Polgreen - Departments of Infectious Disease and Epidemiology, University of Iowa, Iowa City, IA, USAJ D Sparks - Department of Biostatistics, University of Iowa, Iowa City, IA, USAL A Polgreen - Department of Pharmacy Practice and Science, University of Iowa, Iowa City, IA, USAM Yang - Department of Biostatistics, University of Iowa, Iowa City, IA, USAM L Harris - Iowa Department of Public Health, Des Moines, IA, USAM A Pentella - University of Iowa Hygienic Laboratory, Iowa City, IA, USAJ E Cavanaugh - Department of Biostatistics, University of Iowa, Iowa City, IA, USA
- Resource Type
- Journal article
- Publication Details
- Epidemiology and infection, Vol.140(8), pp.1439-1445
- DOI
- 10.1017/S0950268811000987
- PMID
- 21943664
- PMCID
- PMC4349681
- NLM abbreviation
- Epidemiol Infect
- ISSN
- 0950-2688
- eISSN
- 1469-4409
- Publisher
- Cambridge University Press; Cambridge, UK
- Number of pages
- 7
- Language
- English
- Date published
- 08/2012
- Academic Unit
- Statistics and Actuarial Science; Central Control Hygienic Laboratory; Epidemiology; Economics; Biostatistics; Pharmacy Practice and Science; Injury Prevention Research Center; Internal Medicine
- Record Identifier
- 9983985972402771
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