Diagnostic quality for imported malaria in Hubei Province in 2019 - 2022
10.3969/j.issn.1006-2483.2024.03.011
- VernacularTitle:2019—2022年湖北省输入性疟疾诊断质量分析
- Author:
Jia YI
1
;
Xiaorong DONG
1
;
Zhen TU
1
;
Lingcong SUN
1
;
Cong ZHANG
1
;
Wen LIN
1
;
Hong ZHU
1
Author Information
1. Hubei Provincial Center for Disease Control and Prevention , Wuhan , Hubei 430079 , China
- Publication Type:Journal Article
- Keywords:
Malaria;
Diagnosis;
Coincidence rate;
Elimination
- From:
Journal of Public Health and Preventive Medicine
2024;35(3):46-49
- CountryChina
- Language:Chinese
-
Abstract:
Objective To analyze the diagnostic quality of imported malaria in Hubei Province from 2019 to 2022, and to further improve the diagnostic level and consolidate the achievements in eliminating malaria. Methods The samples of reported malaria cases in Hubei were collected by the provincial reference laboratory (PRL) from 2019 to 2022. The microscopy and fluorescent PCR were performed to confirm the infection of plasmodium species of each case．The positive coincidence rate and species coincidence rate were analyzed and compared． Results A total of 257 imported malaria cases were reported in Hubei Province from 2019 to 2022. Among 229 malaria cases were confirmed, the overall coincidence for malaria diagnosis was 91.24% (229/251), and the overall coincidence rate for parasite species identification was 86.03% (197/229). The difference in species coincidence rate among different years was statistically significant (χ2=10.458, P<0.05). The coincidence rates of malaria diagnosis and parasite species identification in different cities (prefectures) of Hubei Province were 71.43% to 100.00% and 50.00% to 100.00%, respectively, with significant differences among different regions (χ2=29.283, P<0.05). The coincidence rates of malaria diagnosis and parasite species identification were 72.73% to 100.00% and 0.00% to 100.00% in different diagnostic institutions, and the coincidence rate of species identification in hospitals (87.61%) was higher than that in Centers for Disease Control institutions (54.55%) (χ2=81.275, P<0.05). The coincidence rates of Plasmodium falciparum, P. vivax, P. malariae, and P. ovale identification were 91.50%, 88.57%, 80.00%, and 58.06%, respectively (χ2=19.777, P<0.05). Conclusion The quality of the qualitative diagnosis of malaria cases reported online from 2019 to 2022 is generally high. However, the ability of Plasmodium typing needs to be improved. In the future, technical training and quality control should be strengthened to improve the malaria surveillance capability during the post-elimination stage.
