Comparing Individual and Community-level Characteristics of People with Ground Beef-associated Salmonellosis and Other Ground Beef Eaters: A Case-control Analysis

• Published in: Journal of food protection 2024-07, Vol.87 (7), p.100303-100303, Article 100303
• Main Authors: Salah, Zainab, Canning, Michelle, Rickless, David, Devine, Carey, Buckman, Ryan, Payne, Daniel C., Marshall, Katherine E.
• Format: Article
• Language: English
• Subjects: Foodborne outbreak; Ground beef; Salmonellosis; Social vulnerability
• ISSN: 0362-028X; 1944-9097; 1944-9097
• DOI: 10.1016/j.jfp.2024.100303

•18–34 year olds were most often linked to ground beef-related Salmonella outbreaks.•Community-level SES may be a risk marker for ground beef-associated salmonellosis.•This method may identify higher−risk areas for ground beef-linked salmonellosis.•Community social factors may identify illness risk when individual data are lacking. Salmonella is estimated to be the leading bacterial cause of U.S. domestically acquired foodborne illness. Large outbreaks of Salmonella attributed to ground beef have been reported in recent years. The demographic and sociodemographic characteristics of infected individuals linked to these outbreaks are poorly understood. We employed a retrospective case-control design; case-patients were people with laboratory-confirmed Salmonella infections linked to ground beef-associated outbreaks between 2012 and 2019, and controls were respondents to the 2018–2019 FoodNet Population Survey who reported eating ground beef and denied recent gastrointestinal illness. We used county-level CDC/ATSDR Social Vulnerability Index (SVI) to compare case-patient and controls. Case-patient status was regressed on county-level social vulnerability and individual-level demographic characteristics. We identified 376 case-patients and 1,321 controls in the FoodNet sites. Being a case-patient was associated with increased overall county-level social vulnerability (OR: 1.21 [95% CI: 1.07–1.36]) and socioeconomic vulnerability (OR: 1.24 [1.05–1.47]) when adjusted for individual-level demographics. Case-patient status was not strongly associated with the other SVI themes of household composition and disability, minority status and language, and housing type and transportation. Data on individual-level factors such as income, poverty, unemployment, and education could facilitate further analyses to understand this relationship.