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Implementation of Clinical Diagnostic Criteria and Universal Symptom Survey Contributed to Lower Magnitude and Faster Resolution of the COVID-19 Epidemic in Wuhan
Engineering ( IF 12.8 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.eng.2020.04.008 Yongyue Wei 1 , Liangmin Wei 1 , Yue Jiang 1 , Sipeng Shen 1 , Yang Zhao 1 , Yuantao Hao 2 , Zhicheng Du 2 , Jinling Tang 3 , Zhijie Zhang 4 , Qingwu Jiang 4 , Liming Li 5 , Feng Chen 1 , Hongbing Shen 1
Engineering ( IF 12.8 ) Pub Date : 2020-10-01 , DOI: 10.1016/j.eng.2020.04.008 Yongyue Wei 1 , Liangmin Wei 1 , Yue Jiang 1 , Sipeng Shen 1 , Yang Zhao 1 , Yuantao Hao 2 , Zhicheng Du 2 , Jinling Tang 3 , Zhijie Zhang 4 , Qingwu Jiang 4 , Liming Li 5 , Feng Chen 1 , Hongbing Shen 1
Affiliation
Abstract The majority of cases infected with the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in China centered in the city of Wuhan. Despite a rapid increase in the number of cases and deaths due to the coronavirus disease 2019 (COVID-19), the epidemic was stemmed via a combination of epidemic mitigation and control measures. This study evaluates how the implementation of clinical diagnostics and universal symptom surveys contributed to epidemic control in Wuhan. We extended the susceptibles-exposed-infectious-removed (SEIR) transmission dynamics model by considering three quarantined compartments (SEIR+Q). The SEIR+Q dynamics model was fitted using the daily reported number of confirmed infections and unconfirmed cases by clinical diagnostic criteria up to February 14, 2020 in Wuhan. Applying the model to carry forward the pre-February 14 trend in Wuhan, the number of daily new diagnosed cases would be expected to drop below 100 by March 25, below 10 by April 29, and reach 0 by May 31, 2020. The observed case counts after February 14 demonstrated that the daily new cases fell below 100 by March 6, below 10 by March 11, and reached 0 by March 18, or, respectively, 19, 49, and 74 d earlier than model predictions. By March 30, the observed number of cumulative confirmed cases was 50 006, which was 19 951 cases fewer than the predicted count. Effective reproductive number R(t) analysis using observed frequencies showed a remarkable decline after the implementation of clinical diagnostic criteria and universal symptom surveys, which was significantly below the R(t) curve estimated by the model assuming that the pre-February 14 trend was carried forward. In conclusion, the proposed SEIR+Q dynamics model was a good fit for the epidemic data in Wuhan and explained the large increase in the number of infections during February 12–14, 2020. The implementation of clinical diagnostic criteria and universal symptom surveys contributed to a contraction in both the magnitude and the duration of the epidemic in Wuhan.
更新日期：2020-10-01
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