Evidence map›Paper›PMID 42281446›Full record

ArticleZoonoses and public health2026

Mapping High-Rate Clusters of Animal Contact-Related Human Salmonella enterica Single-State Outbreaks in the United States, 2009-2022: A Spatial Epidemiological Approach to Inform Public Health Surveillance.

Hammad Ur Rehman Bajwa, Suman Bhowmick, Csaba Varga

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Article in Zoonoses and public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Hammad Ur Rehman BajwaDepartment of Pathobiology, College of Veterinary Medicine, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.
Suman BhowmickDepartment of Pathobiology, College of Veterinary Medicine, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.
Csaba VargaDepartment of Pathobiology, College of Veterinary Medicine, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.ORCID https://orcid.org/0000-0003-2751-3677

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionNontyphoidal Salmonella enterica (NTS) is a major zoonotic enteric pathogen. Animal contact-related NTS outbreaks have increased in the United States over the last decade. Geospatial analysis can identify locations with elevated risk of NTS outbreaks where public health authorities can focus their NTS prevention and intervention efforts.

methodsWe analysed NTS outbreak data reported from individual states to the Centers for Disease Control via the National Outbreak Reporting System between 2009 and 2022 across the continental contiguous United States. A geospatial analytical framework that included disease mapping, spatial interpolation, and global and local clustering methods was applied to identify regions with high NTS outbreak rates. Given that the study period (2009-2022) included the COVID-19 pandemic, an interrupted time series negative binomial model was used to assess changes in NTS incidence before and after 2020.

resultsA total of 104 NTS single-state outbreaks were reported to the National Outbreak Reporting System (NORS) during the study period. The mean annual incidence rate was 0.02 NTS outbreaks per million person-years. The primary animal contact categories associated with outbreaks were mammals (cattle, pigs, sheep, and horses), birds (backyard chickens, ducklings, and turkeys), and reptiles (turtles and lizards). Exposure settings included farms, fairgrounds, agricultural feed stores, veterinary clinics, dairy/agricultural settings, and residential settings. The local cluster detection methods consistently identified areas with significantly high NTS animal contact-related outbreak rates in the Mountain West, Midwest, and Northeast of the US. The interrupted time series analysis indicated a reduction in incidence following the onset of the COVID-19 pandemic (IRR = 0.03; p = 0.06).

conclusionNTS animal contact-related single-state outbreaks revealed distinct spatial clustering across the United States, with higher risks in the Mountain West, Midwest, and Northeast. Diversity of animal-contact sources and exposure settings depicted complex transmission dynamics of NTS. A decline in reported NTS outbreaks was observed after the COVID-19 pandemic. Focused prevention and control programs are needed in high-risk areas to mitigate the burden of NTS outbreaks.

Indexed as

Disease OutbreaksPublic Health SurveillanceSalmonella entericaSalmonella InfectionsSalmonella Infections, AnimalZoonosesAnimalsHumansIncidenceUnited Statesanimal contactincidenceoutbreakspublic healthSalmonellasingle‐statespace–timespatialUnited States

Identifiers

PMID42281446
PMCPMC13535710

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