Association between community socioeconomic factors, animal feeding operations, and campylobacteriosis incidence rates: Foodborne Diseases Active Surveillance Network (FoodNet), 2004–2010. Issue 1 (December 2016)

• Record Type: Journal Article
• Authors: Rosenberg Goldstein, Rachel; Cruz-Cano, Raul; Jiang, Chengsheng; Palmer, Amanda; Blythe, David; Ryan, Patricia; Hogan, Brenna; White, Benjamin; Dunn, John; Libby, Tanya; Tobin-D'Angelo, Melissa; Huang, Jennifer; McGuire, Suzanne; Scherzinger, Karen; Lee, Mei-Ling; Sapkota, Amy
• Is Part Of: BMC infectious diseases. Volume 16:Issue 1(2016)
• Page Start: 1
• Page End: 9
• Publication Date: 2016-12
• Subjects: Campylobacter -- FoodNet -- Community socioeconomic and environmental factors -- Broiler chicken -- Dairy; Communicable diseases -- Periodicals; Sexually Transmitted Diseases -- Periodicals; 616.905
• DOI: 10.1186/s12879-016-1686-9
• Languages: English
• ISSNs: 1471-2334

Abstract

Abstract Background Campylobacter is a leading cause of foodborne illness in the United States.Campylobacter infections have been associated with individual risk factors, such as the consumption of poultry and raw milk. Recently, a Maryland-based study identified community socioeconomic and environmental factors that are also associated with campylobacteriosis rates. However, no previous studies have evaluated the association between community risk factors and campylobacteriosis rates across multiple U.S. states. Methods We obtainedCampylobacter case data (2004–2010;n = 40, 768) from the Foodborne Diseases Active Surveillance Network (FoodNet) and socioeconomic and environmental data from the 2010 Census of Population and Housing, the 2011 American Community Survey, and the 2007 U.S. Census of Agriculture. We linked data by zip code and derived incidence rate ratios using negative binomial regression models. Results Community socioeconomic and environmental factors were associated with both lower and higher campylobacteriosis rates. Zip codes with higher percentages of African Americans had lower rates of campylobacteriosis (incidence rate ratio [IRR]) = 0.972; 95 % confidence interval (CI) = 0.970, 0.974). In Georgia, Maryland, and Tennessee, three leading broiler chicken producing states, zip codes with broiler operations had incidence rates that were 22 % (IRR = 1.22; 95 % CI = 1.03, 1.43), 16 % (IRR = 1.16; 95 % CI = 0.99, 1.37), and 35 % (IRR = 1.35; 95 % CI = 1.18, 1.53) higher, respectively, than those of zip codes without broiler operations. In Minnesota and New York FoodNet counties, two top dairy producing areas, zip codes with dairy operations had significantly higher campylobacteriosis incidence rates (IRR = 1.37; 95 % CI = 1.22, 1.55; IRR = 1.19; 95 % CI = 1.04, 1.36). Conclusions Community socioeconomic and environmental factors are important to consider when evaluating the relationship between possible risk factors andCampylobacter infection.