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Association between community socioeconomic factors, animal feeding operations, and campylobacteriosis incidence rates: Foodborne Diseases Active Surveillance Network (FoodNet), 2004-2010.
Rosenberg Goldstein, Rachel E; Cruz-Cano, Raul; Jiang, Chengsheng; Palmer, Amanda; Blythe, David; Ryan, Patricia; Hogan, Brenna; White, Benjamin; Dunn, John R; Libby, Tanya; Tobin-D'Angelo, Melissa; Huang, Jennifer Y; McGuire, Suzanne; Scherzinger, Karen; Lee, Mei-Ling Ting; Sapkota, Amy R.
Afiliação
  • Rosenberg Goldstein RE; Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, School of Public Health Building (255), 4200 Valley Drive, Room 2234P, College Park, MD, 20742, USA.
  • Cruz-Cano R; Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD, USA.
  • Jiang C; Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, School of Public Health Building (255), 4200 Valley Drive, Room 2234P, College Park, MD, 20742, USA.
  • Palmer A; Prevention and Health Promotion Administration, Maryland Department of Health and Mental Hygiene, Baltimore, MD, USA.
  • Blythe D; Prevention and Health Promotion Administration, Maryland Department of Health and Mental Hygiene, Baltimore, MD, USA.
  • Ryan P; Prevention and Health Promotion Administration, Maryland Department of Health and Mental Hygiene, Baltimore, MD, USA.
  • Hogan B; Prevention and Health Promotion Administration, Maryland Department of Health and Mental Hygiene, Baltimore, MD, USA.
  • White B; Emerging Infections Program, Disease Control and Environmental Epidemiology Division, Colorado Department of Public Health and Environment, Denver, CO, USA.
  • Dunn JR; Communicable and Environmental Disease Surveillance, Tennessee Department of Health, Nashville, TN, USA.
  • Libby T; California Emerging Infections Program, Oakland, CA, USA.
  • Tobin-D'Angelo M; Acute Disease Epidemiology Section, Georgia Department of Public Health, Atlanta, GA, USA.
  • Huang JY; Office of Infectious Disease, National Center for Emerging and Zoonotic Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, GA, USA.
  • McGuire S; New York State Department of Health, Albany, NY, USA.
  • Scherzinger K; New Mexico Emerging Infections Program, University of New Mexico, Albuquerque, NM, USA.
  • Lee ML; Department of Epidemiology and Biostatistics, University of Maryland School of Public Health, College Park, MD, USA.
  • Sapkota AR; Maryland Institute for Applied Environmental Health, University of Maryland School of Public Health, College Park, School of Public Health Building (255), 4200 Valley Drive, Room 2234P, College Park, MD, 20742, USA. ars@umd.edu.
BMC Infect Dis ; 16: 354, 2016 07 22.
Article em En | MEDLINE | ID: mdl-27450432
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 obtained Campylobacter 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 and Campylobacter infection.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Produtos Avícolas / Infecções por Campylobacter / Doenças Transmitidas por Alimentos Tipo de estudo: Etiology_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Adolescent / Adult / Aged / Aged80 / Animals / Child / Child, preschool / Female / Humans / Infant País/Região como assunto: America do norte Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Produtos Avícolas / Infecções por Campylobacter / Doenças Transmitidas por Alimentos Tipo de estudo: Etiology_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Adolescent / Adult / Aged / Aged80 / Animals / Child / Child, preschool / Female / Humans / Infant País/Região como assunto: America do norte Idioma: En Ano de publicação: 2016 Tipo de documento: Article