Epidemiological characteristics and spatial clustering of foodborne diseases in Beijing,2018-2022
Objective To analyze the epidemiological features of foodborne diseases and spatial clustering of the cases in Beijing from 2018 to 2022,to identify hot spots for case distribution,and to provide a basis for scientific and precise prevention and control.Methods Descriptive epidemiological methods were used to analyze the epidemiological characteristics of the monitoring data regarding foodborne diseases in Beijing from 2018 to 2022,and the Acrgic10.8 spatial autocorrelation method was applied to studying their spatial clustering.Results A total of 31,404 cases were reported in Beijing from 2018 to 2022,and the average annual reported incidence rate in the 5-year period was 28.89/100,000.The male to female ratio was 1.18∶1.The group aged 20-39 years reported the most cases,with statistically significant differences(P＜0.05).August had the highest number of reported cases,accounting for 13.64％(4,285/31,404).Among the self-reported suspicious exposure food,meat and meat products were the highest,accounting for 23.59％(5,403/22,901).Households were the most common places to eat,accounting for 71.73％(16,428/22,901).The highest incidence rate was reported in Huairou District,reaching 107.74/100,000.The results of spatial autocorrelation analysis displayed that the Moran's I values during the 5-year period ranged from 0.36 to 0.63,with statistically significant differences(P＜0.05),indicating a spatial clustering of foodborne diseases.Hot spots were mainly distributed in Huairou District and Miyun District in the north,while cold spots in the central urban area of Beijing.Conclusion There was a significant spatiotemporal clustering of foodbome diseases in Beijing from 2018 to 2022.The high incidence areas were Huairou District and Miyun District,and August was the high incidence period.Therefore,prevention and control should be strengthened in the key districts and the high incidence period.
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