Epidemiological analysis of pesticide poisoning in Jingzhou City from 2016 to 2022
Objective To analyze the epidemiological characteristics of pesticide poisoning in Jingzhou City,and provide evidence for the prevention and control of pesticide poisoning.Methods The reported cases of pesticide poisoning in Jingzhou City from 2016 to 2022 were extracted from the Occupational Disease and Health Hazard Monitoring Information System,and descriptive statistical analysis was made on the distribution of poisoning cases among three areas.Results From 2016 to 2022,a total of 4 961 cases of pesticide poisoning were reported in Jingzhou City,including 1 738 deaths,the fatality rate was 35.0％.The majority of cases were domestic poisoning,accounting for 91.5％of the cases(4 538/4 961).The number of reported cases of pesticide poisoning showed an overall upward trend from 2016 to 2022,with the highest incidence of pesticide poisoning occurred from June to August,accounting for 32.1％(1 594/4 961)of the total cases.Gongan County reported the largest number of cases,accounting for 68.8％(3 412/4 961)of the total cases.The sex ratio of male to female was 1∶0.99,and there were more males than females in productive poisoning cases.The average age of poisoning cases was 64.2 years old,and the proportion of poisoning cases[55.3％(2 744/4 961)]and fatality rate[47.7％(1 310/1 738)]were the highest in the age group of ≥66 years old.The main types of toxic pesticides were organophosphorus and other insecticides,accounting for 40.0％(1 983/4 961)of cases.However,the type of pesticides with the highest mortality was biochemical pesticides,accounting for 68.2％(533/781).Conclusion Domestic pesticide poisoning is the main pesticide poisoning in Jingzhou City,and organophosphorus and other insecticides are high-risk poisons.It is suggested that management department formulate targeted prevention and control measures based on the high incidence time,region and population of pesticide poisoning,and increase pesticide supervision efforts.
Pesticide poisoningNetwork direct reportingEpidemiological analysis
NETL
NSTL
万方数据
