Literature DB >> 31758182

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

James L Hadler1, Paula Clogher1, Tanya Libby2, Elisha Wilson3, Nadine Oosmanally4, Patricia Ryan5, Luke Magnuson6, Sarah Lathrop7, Suzanne Mcguire8, Paul Cieslak9, Melissa Fankhauser10, Logan Ray11, Aimee Geissler11, Sharon Hurd1.   

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 [<5%] census tract poverty level, 1.37). Children <5 years old had the highest relative risk (2.07). Although this relationship was consistent by race/ethnicity and by serotype, it was not present in 5 FoodNet sites or among those aged 18-49 years.
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. Published by Oxford University Press for the Infectious Diseases Society of America 2019. This work is written by (a) US Government employee(s) and is in the public domain in the US.

Entities:  

Keywords:  zzm321990 Salmonellazzm321990 ; FoodNet; Poverty; census tract; domestically acquired salmonellosis; incidence

Year:  2020        PMID: 31758182     DOI: 10.1093/infdis/jiz605

Source DB:  PubMed          Journal:  J Infect Dis        ISSN: 0022-1899            Impact factor:   5.226


  5 in total

1.  Climate change, extreme events, and increased risk of salmonellosis: foodborne diseases active surveillance network (FoodNet), 2004-2014.

Authors:  Michele E Morgado; Chengsheng Jiang; Amy R Sapkota; Amir Sapkota; Jordan Zambrana; Crystal Romeo Upperman; Clifford Mitchell; Michelle Boyle
Journal:  Environ Health       Date:  2021-09-18       Impact factor: 7.123

Review 2.  Acute Bacterial Gastroenteritis.

Authors:  James M Fleckenstein; F Matthew Kuhlmann; Alaullah Sheikh
Journal:  Gastroenterol Clin North Am       Date:  2021-04-23       Impact factor: 3.806

3.  Spatial Epidemiology of Salmonellosis in Florida, 2009-2018.

Authors:  Xiaolong Li; Nitya Singh; Elizabeth Beshearse; Jason L Blanton; Jamie DeMent; Arie H Havelaar
Journal:  Front Public Health       Date:  2021-01-11

4.  Geospatial analysis of salmonellosis and its association with socioeconomic status in Texas.

Authors:  Anand Gourishankar
Journal:  Fam Med Community Health       Date:  2021-10

5.  Effects of Governmental Intervention on Foodborne Disease Events: Evidence from China.

Authors:  Zhuang Zhang; You-Hua Chen; Lin-Hai Wu
Journal:  Int J Environ Res Public Health       Date:  2021-12-17       Impact factor: 3.390

  5 in total

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