Analysis of Spatiotemporal Characteristics of Foodborne Disease Epidemiology in Jining from 2019 to 2023
Li Weiwei
Han Bing
Zhao Suhua
Niu Lijun
Guo Xiaoxiao
Chen Zhe
Li Ronghua
Abstract：OBJECTIVE To analyze the epidemiological characteristics and spatiotemporal clustering patterns of foodborne diseases in Jining from 2019 to 2023,identify high-incidence regions,and provide a basis for developing targeted prevention strategies and optimizing healthcare resource allocation.METHODS Case data of foodborne diseases in Jining were exported through the"Foodborne Disease Surveillance and Reporting System"from 2019 to 2023.ArcGIS 10.8 software was used to visualize spatial autocorrelation,while SaTScan 9.5 software was employed to investigate spatial clustering.RESULTS A total of 390,942 food borne disease cases were reported in Jining from 2019 to 2023,with a male-to-female ratio of 1.01∶1.Farmers(63.91%,249,863/390,942)constituted the majority of affected populations,with the highest proportion(15.49%)occurring in the 55-65 age group.The peak incidence period was concentrated between July and September,with fruits and fruit products(25.99%)showing the highest proportion of suspected exposure cases.Most cases occurred in households(92.53%).Spatial autocorrelation analysis revealed that Moran's I index ranged between 0.317 and 0.445 from 2019 to 2023,demonstrating statistically significant differences(P＜0.05).The indicates spatial clustering of foodborne diseases in Jining,with clusters primarily concentrated in Wenshang County and Zoucheng.The spatiotemporal analysis revealed that cluster outbreaks occurred exclusively in 2023,with the first cluster affecting Weishan County and Yutai County in September 2023(RR=15.34,LLR=20,672.44).CONCLUSION Foodborne disease outbreaks in Jining peak from July to September,predominantly affecting farmers.Suspected exposure occurred mainly through fruits and their processed products,with household consumption being the primary source.The study confirms spatiotemporal clustering patterns,with Wenshang County and Zoucheng being high-risk areas.Notably,Weishan County and Yutai County showed higher susceptibility in September,highlighting the need for enhanced prevention and control measures.
Keywords：foodborne diseasesepidemiological characteristicspatiotemporal scanspatial clustering
Publication Date：2026-01-10
Online Publishing Date：2026-03-11(First online date of this platform, not the publication date of the document)
Pages：4( 120-123 )