Hu Wensui, Liu Yuan, Liu Wei, Yang Zhicong, Zhou Qin. Information quality evaluation of corona virus disease 2019 direct online reporting in Guangzhou[J]. Disease Surveillance, 2022, 37(4): 507-511. DOI: 10.3784/jbjc.202108060435
Citation: Hu Wensui, Liu Yuan, Liu Wei, Yang Zhicong, Zhou Qin. Information quality evaluation of corona virus disease 2019 direct online reporting in Guangzhou[J]. Disease Surveillance, 2022, 37(4): 507-511. DOI: 10.3784/jbjc.202108060435

Information quality evaluation of corona virus disease 2019 direct online reporting in Guangzhou

  • Objective To evaluate the quality of direct online reporting of corona virus disease 2019 ( COVID-19), sum up experience, find existing problems, identify influencing factors, and suggest improvement measures to better guide future epidemic information reporting.
    Methods The COVID-19 reporting cards in Guangzhou were obtained from the China Disease Information Reporting and Management System, and the field epidemiological investigation data of the centers for disease control and prevention at all levels in Guangzhou were collected. The evaluation index system of underreporting, delayed reporting, incomplete reporting, inaccurate reporting, inconsistency between reporting card and epidemiological survey data, and repeated reporting were applied to evaluate the quality of COVID-19 direct online reporting in Guangzhou by using software SPSS 16.0.
    Results The underreporting rate was 0, the delayed reporting rate was 0.05%, the incomplete rate of reporting card was 1.62%, the inaccurate rate of reporting card was 3.97%, the inconsistent rate of reporting card and epidemiological survey data was 3.88%, and the repeated report rate was 13.25%.
    Conclusion The timeliness of COVID-19 reporting in Guangzhou was good, but the quality of reporting card needs to be improved. In the future, effective measures should be taken for weak links, and the system needs to be further improved in order to provide important support for timely analysis on the incidence and epidemic trend of COVID-19.
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