Epidemiological characteristics analysis of foodborne diseases outbreaks in Nanning City from 2013 to 2022
Objective To analyze the epidemiological characteristics of foodborne diseases outbreaks in Nanning City from 2013 to 2022,and provide decision-making basis for the prevention and control of foodborne diseases outbreaks in Nanning City.Methods Descriptive epidemiological analysis was conducted on foodborne disease outbreaks reported in Nanning City from 2013 to 2022.Results A total of 169 outbreaks of foodborne diseases were reported in Nanning City,with a cumulative incidence of 1 251 cases,540 hospitalizations,and 8 deaths.The annual average number of reported outbreaks was 16.9,with an average of 7.4 reported cases per incident.Autumn was the season with the highest number of cases and hospitalizations.The proportion of hospitalized patients in county areas was higher than that in urban areas,and the incidence was mainly in families.The number of incidents caused by poisonous mushrooms was the highest,the number of cases caused by meat and meat products was the highest,the number of hospitalizations caused by tung oil/tung oil fruit was the highest,and the number of deaths caused by gelsemium elegans was the highest.The two main pathogenic pathways causing foodborne disease outbreaks were incidents related to pathogenic microorganisms caused by ingestion and misuse of toxic plants and their toxins,as well as poisoning,improper storage,and processing of poisonous mushrooms.Conclusion It is recommended to strengthen food safety education focused on identifying toxic plants and their toxins,toxic mushrooms,and various pathogenic microorganisms in rural households,as well as food storage and processing.The reporting mechanism for foodborne diseases should be strengthened and improved,and food safety education and supervision should be strengthened in key places such as restaurants and collective canteens.Early warnings should be issued in a timely manner during the peak season of foodborne disease outbreaks.
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万方数据
