ArticleFrontiers in public health2026
Epidemiology, serovar distribution and spatiotemporal patterns of Salmonella foodborne infections in Liaoning Province, China, 2014-2024: an analysis of sentinel surveillance data.
Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Epidemiology, resistance profiles, and molecular characteristics of pediatric salmonella isolates: prevalence of a clonalFrontiers in cellular and infection microbiology · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Using long-term data from hospital-based sentinel (active) surveillance of foodborne diseases in Liaoning Province from 2014 to 2024, we examined temporal trends, seasonality, the serovar spectrum, and city-level spatiotemporal distribution of salmonellosis to inform optimization of surveillance and targeted prevention and control. This study provides one of the longest provincial-level sentinel-based spatiotemporal analyses of salmonellosis in China. Methods: Laboratory-confirmed infections with Results: From 2014 to 2024, 38,810 cases were tested and 346 were positive for Conclusion: Sentinel surveillance in Liaoning Province suggests a year-by-year increase in the detection level of Salmonella, with summer-early autumn and young children representing key risk windows. Chaoyang City consistently showed a relatively high burden in both local spatial and spatiotemporal analyses. These findings provide evidence for targeted surveillance optimization and risk-based intervention strategies in high-risk seasons, populations, and geographic areas.
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