Analysis of the epidemiological characteristics and diagnostic and treatment capabilities of imported malaria in Ju County,Shandong Province from 2014 to 2023
Objective To analyze the epidemiological characteristics of malaria in Juxian from 2014 to 2023,so as to provide a scientific basis for formulating malaria prevention and control strategies.Methods Data on imported malaria cases in Juxian from 2014 to 2023 were collected from the National Infectious Disease Reporting Information Management System and the Parasitic Disease Prevention and Control Information Management System.Statistical analysis on the epidemiology of malaria and the epidemiological characteristics of cases,as well as the situation of onset and diagnosis and treatment were conducted.Results A total of 51 cases of imported malaria were reported in Juxian from 2014 to 2023,mainly falciparum malaria(41 cases,80.4％),followed by ovale malaria(5 cases,9.8％),vivax malaria(3 cases,5.9％),and malariae malaria(2 cases,3.9％).The sources of infection were all distributed in Africa.Cases were reported every month,with peaks in January,February,April,May,and October.The cases were mainly middle-aged male migrant workers in agriculture,with an average age of(39.98±8.51)years.15.7％(8/51)of cases did not seek medical attention for more than 3 days after onset,and the majority of first visits occurred at medical institutions at the county level or below(50 cases,98.0％).The rate of misdiagnosis at first visit was 45.1％(23/51),with initial misdiagnosis rates for vivax,malariae,falciparum,and ovale malaria cases being 66.7％(2/3),50.0％(1/2),43.9％(18/41),and 40.0％(2/5),respectively.A total of 39 cases(75.6％)had a history of travel abroad for 1 months or more before onset,and 13.7％(7/51)of cases developed complications.Conclusions From 2014 to 2023,Juxian has reported imported malaria cases every year.It is essential to continue strengthening the monitoring and management of imported cases to consolidate the achievements in malaria elimination.
Imported malariaEpidemiological characteristicsDiagnostic and treatment capabilities
NETL
NSTL
万方数据
