An ecological analysis of sociodemographic factors associated with the incidence of salmonellosis, shigellosis, and E. coli O157:H7 infections in US counties.

Epidemiol Infect

Division of Integrated Surveillance Systems and Service, National Center for Public Health Informatics, Coordinating Center for Health Information and Service, Centers for Disease Control and Prevention, Atlanta, GA 30341, USA.

Published: June 2009

AI Article Synopsis

  • Identifying sociodemographic and economic factors at the county level can shed light on how enteric diseases are transmitted and highlight prevention opportunities.
  • Data from various national sources were analyzed to understand the connections between factors like race, ethnicity, education, and poverty and the incidence of diseases such as salmonellosis, shigellosis, and E. coli O157:H7 from 1993 to 2002.
  • The study found that community characteristics influence the risk of these diseases, but more detailed serotype-specific data in future analyses could improve understanding of these associations.

Article Abstract

Identifying county-level sociodemographic and economic factors associated with the incidence of enteric disease may provide new insights concerning the dynamics of community transmission of these diseases as well as opportunities for prevention. We used data from the National Notifiable Diseases Surveillance System, the U.S. Census Bureau, and the Health Resources and Services Administration to conduct an ecological analysis of 26 sociodemographic and economic factors associated with the incidence of salmonellosis, shigellosis, and E. coli O157:H7 infections in US counties for the period 1993 to 2002. Our study indicates that race, ethnicity, place of residence, age, educational attainment, and poverty may affect the risk of acquiring one of these enteric bacterial diseases. The lack of specificity of information regarding salmonellae and shigellae serotypes may have led to less specific associations between community-level determinants and reported incidence of those diseases. Future ecological analyses should use serotype-specific data on incidence, which may be available from laboratory-based surveillance systems.

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Source
http://dx.doi.org/10.1017/S0950268808001477DOI Listing

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