基于Richards Gompertz Logistic Ratkowsky和SIRD流行病学模型的冠状病毒(COVID-19)暴发预测

A. Sedaghat, Seyed Amir Abbas Oloomi, Mahdi Ashtian Malayer, N. Rezaei, A. Mosavi
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引用次数: 5

摘要

2020年7月30日,伊朗共报告了301530例COVID-19确诊病例,其中26.12万人康复,16569人死亡。2019冠状病毒病大流行始于2020年2月20日伊朗库姆市的2名患者。准确预测2019冠状病毒病大流行的结束和受影响人口总数具有挑战性。本研究采用Richards、Gompertz、Logistic、Ratkowsky和SIRD等几种广泛使用的模型,通过拟合当前和过去的临床数据,预测伊朗未来COVID-19大流行的动态。伊朗是唯一一个面临第二波COVID-19感染的国家,这使得其数据难以分析。本研究的主要贡献是预测COVID-19近期趋势,以便公共卫生当局和/或政府决策者采取非药物干预措施。我们将伊朗的COVID-19大流行分为两波,第一波从2020年2月20日至2020年5月4日,第二波从2020年5月5日至今。采用Pearson相关系数(R)和决定系数(R2)两种统计方法来评估所研究模型的准确性。Wave I Logistic、Ratkowsky和SIRD模型的结果正确拟合了伊朗的COVID-19数据。SIRD模型非常接近地拟合了2020年4月6日的第一个感染高峰,有34,447例(实际高峰日为2020年4月7日,有30,387例活跃感染者),再生产数R0=3.95。第二波结果表明,SIRD模型准确拟合了2020年6月20日的第二个感染高峰,活跃感染病例为19088例,而实际高峰日为2020年6月21日,活跃感染病例为17644例。在波II中,复产数R0=1.45减小,表明传播速率较低。我们的目标是提供一个粗略的项目,供新创意项目决策参考。预计伊朗的第二波COVID-19感染病例将达到18万至25万例,死亡人数将达到6000至6.5万例。目前还没有分析方法预测在第二波之后会出现更多的COVID-19波。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coronavirus (COVID-19) Outbreak Prediction Using Epidemiological Models of Richards Gompertz Logistic Ratkowsky and SIRD
On 30 July 2020, a total number of 301,530 diagnosed COVID-19 cases were reported in Iran, with 261,200 recovered and 16,569 dead. The COVID-19 pandemic started with 2 patients in Qom city in Iran on 20 February 2020. Accurate prediction of the end of the COVID-19 pandemic and the total number of populations affected is challenging. In this study, several widely used models, including Richards, Gompertz, Logistic, Ratkowsky, and SIRD models, are used to project dynamics of the COVID-19 pandemic in the future of Iran by fitting the present and the past clinical data. Iran is the only country facing a second wave of COVID-19 infections, which makes its data difficult to analyze. The present study's main contribution is to forecast the near-future of COVID-19 trends to allow non-pharmacological interventions (NPI) by public health authorities and/or government policymakers. We have divided the COVID-19 pandemic in Iran into two waves, Wave I, from February 20, 2020 to May 4, 2020, and Wave II from May 5, 2020, to the present. Two statistical methods, i.e., Pearson correlation coefficient (R) and the coefficient of determination (R2), are used to assess the accuracy of studied models. Results for Wave I Logistic, Ratkowsky, and SIRD models have correctly fitted COVID-19 data in Iran. SIRD model has fitted the first peak of infection very closely on April 6, 2020, with 34,447 cases (The actual peak day was April 7, 2020, with 30,387 active infected patients) with the re-production number R0=3.95. Results of Wave II indicate that the SIRD model has precisely fitted with the second peak of infection, which was on June 20, 2020, with 19,088 active infected cases compared with the actual peak day on June 21,2020, with 17,644 cases. In Wave II, the re-production number R0=1.45 is reduced, indicating a lower transmission rate. We aimed to provide even a rough project future trends of COVID-19 in Iran for NPI decisions. Between 180,000 to 250,000 infected cases and a death toll of between 6,000 to 65,000 cases are expected in Wave II of COVID-19 in Iran. There is currently no analytical method to project more waves of COVID-19 beyond Wave II.
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