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Analysis of the nucleic acid detection quality assessment results from novel coronavirus laboratories in 43 disease control institutions in Qinghai province in 2021
Journal of Medical Pest Control ; 39(1):13-15, 2023.
Article in Chinese | Scopus | ID: covidwho-2268907
ABSTRACT
Objective To assess the quality of nucleic acid testing in 43 Novel Coronavirus laboratories of disease control institutions in Qinghai Province that have passed the acceptance inspection, so as to ensure the accuracy and reliability of nucleic acid testing results. Methods Five samples for quality control assessment were distributed to each testing institution. The quality of nucleic acid testing was carried out following the requirements of the testing technical guidelines in the Novel Coronavirus Pneumonia Prevention and Control Program (Seventh Edition) issued by the Chinese Center for Disease Control and Prevention. Each detection reagentwas prepared by the member units participating in the assessment. The nucleic acid detection ability of each institution was evaluated by comparing the testing results with the expected results of the assessment samples. Results Fortythree disease control institutions participated in the assessment, all the testing results were collected within the specified time. The overall compliance rate of this assessment was 100. 00%. A total of 10 manufacturers' nucleic acid extraction kits and 9 manufacturers' nucleic acid amplification kits were involved. One hundred percent of the kits detected the ORF1ab gene and N gene of the Novel Coronavirus. Conclusion The nucleic acid detection capacity of the disease control institutions in Qinghai has been further improved by making this Novel Coronavirus quality control assessment. The assessment createsa solid foundation for the prevention and control of the Novel Coronavirus epidemic in Qinghai. © 2023, Editorial Department of Medical Pest Control. All rights reserved.
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Full text: Available Collection: Databases of international organizations Database: Scopus Language: Chinese Journal: Journal of Medical Pest Control Year: 2023 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: Chinese Journal: Journal of Medical Pest Control Year: 2023 Document Type: Article