Relationship Between Census Tract-Level Poverty and Domestically Acquired Salmonella Incidence: Analysis of Foodborne Diseases Active Surveillance Network Data, 2010-2016

Authors

James L. Hadler, Emerging Infections Program, Yale School of Public Health, New Haven, Connecticut, USA
Paula Clogher, Emerging Infections Program, Yale School of Public Health, New Haven, Connecticut, USA
Tanya Libby, California Emerging Infections Program, Oakland, California, USA
Elisha Wilson, Emerging Infections Program, Colorado Department of Public Health and Environment, Denver, Colorado, USA
Nadine Oosmanally, Emerging Infections Program, Georgia Department of Public Health, Atlanta, Georgia, USA
Patricia Ryan, Emerging Infections Program, Maryland Department of Health, Baltimore, Maryland, USA
Luke Magnuson, Emerging Infections Program, Minnesota Department of Health, St Paul, Minnesota, USA
Sarah Lathrop, Emerging Infections Program, New Mexico Department of Health, Santa Fe, New Mexico, USA
Suzanne Mcguire, Emerging Infections Program, New York State Department of Health, Albany, New York, USA
Paul Cieslak, Emerging Infections Program, Oregon Health Authority, Portland, Oregon, USA
Melissa Fankhauser, Emerging Infections Program, Tennessee Department of Health, Nashville, Tennessee, USA
Logan Ray, Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
Aimee Geissler, Division of Foodborne, Waterborne, and Environmental Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia, USA
Sharon Hurd, Emerging Infections Program, Yale School of Public Health, New Haven, Connecticut, USA

Document Type

Article

Publication Date

9-14-2020

Abstract

BACKGROUND: The relationships between socioeconomic status and domestically acquired salmonellosis and leading Salmonella serotypes are poorly understood.

METHODS: We analyzed surveillance data from laboratory-confirmed cases of salmonellosis from 2010-2016 for all 10 Foodborne Disease Active Surveillance Network (FoodNet) sites, having a catchment population of 47.9 million. Case residential data were geocoded, linked to census tract poverty level, and then categorized into 4 groups according to census tract poverty level. After excluding those reporting international travel before illness onset, age-specific and age-adjusted salmonellosis incidence rates were calculated for each census tract poverty level, overall and for each of the 10 leading serotypes.

RESULTS: Of 52 821geocodable Salmonella infections (>96%), 48 111 (91.1%) were domestically acquired. Higher age-adjusted incidence occurred with higher census tract poverty level (P < .001; relative risk for highest [≥20%] vs lowest [

CONCLUSION: Children and older adults living in higher-poverty census tracts have had a higher incidence of domestically acquired salmonellosis. There is a need to understand socioeconomic status differences for risk factors for domestically acquired salmonellosis by age group and FoodNet site to help focus prevention efforts.

Recommended Citation

Hadler JL, Clogher P, Libby T, Wilson E, Oosmanally N, Ryan P, Magnuson L, Lathrop S, Mcguire S, Cieslak P, Fankhauser M, Ray L, Geissler A, Hurd S. Relationship Between Census Tract-Level Poverty and Domestically Acquired Salmonella Incidence: Analysis of Foodborne Diseases Active Surveillance Network Data, 2010-2016. J Infect Dis. 2020 Sep 14;222(8):1405-1412. doi: 10.1093/infdis/jiz605. PMID: 31758182.