基于严格指数对E7国家COVID-19感染情况进行预测并提出相关政策建议。

İhsan Erdem Kayral, Sencer Buzrul
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引用次数: 2

摘要

巴西、中国、印度、印度尼西亚、墨西哥、俄罗斯、土耳其等新兴7国(E7)的新冠肺炎感染数据采用实证模型或该实证模型的特例进行描述。此外,还进行了近期预测。此外,研究了疫情期间E7国家严格度指数指标与总病例之间的因果关系。根据数据和模型拟合,将国家分为“平稳”、“过渡”和“指数”。所提出的模型与E7国家的COVID-19数据吻合良好,并且有可能预测不久的将来的病例数。在本研究的最后阶段,根据在E7国家的发现和预测,还提出了控制这些国家总病例的一些政策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Forecasting of COVID-19 infections in E7 countries and proposing some policies based on the Stringency Index.
COVID-19 infection data of Emerging 7 (E7) countries, namely Brazil, China, India, Indonesia, Mexico, Russia, and Turkey were described by an empirical model or a special case of this empirical model. Near-future forecasts were also performed. Moreover, the causalities between the Stringency Index's indicators and total cases in E7 countries in COVID-19 period were examined. Countries were grouped as "stationary," "transition," and "exponential" based on the data and model fits. The proposed models produced good fits to the COVID-19 data of E7 countries and it was possible to predict the number of cases in the near future. Some policies to control total cases in E7 countries were also proposed in the final phase of this study based on the findings and forecasting in these countries.
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