Agricultural Marketing and Information Systems Department, Center of Agricultural Planning and Development, Institute of National Planning, Cairo, Egypt.
Front Public Health. 2020 Dec 22;8:554964. doi: 10.3389/fpubh.2020.554964. eCollection 2020.
This study utilizes the non-linear least squares method to estimate the impact of temperature on COVID-19 cases per million in forty-three countries, divided into three groups as follows: the first group is composed of thirteen countries that announced the first COVID-19 cases in January 2020, while the second and third groups contain thirteen and seventeen countries, respectively, that witnessed the pandemic for the first time in February and March of the same year. This relationship was measured after four time periods from the date of reporting the first case until April 1, April 15, May 15, and July 8, 2020. The results show an inverse relationship between COVID-19 cases per million and the temperature in the studies of the four-time periods for the three-country groups. These results were only significant statistically ( < 0.1) after 110.8, 164.8 days on average from the beginning of the pandemic in the case of "January" countries.
本研究采用非线性最小二乘法估计了 43 个国家每百万例 COVID-19 病例与温度之间的关系，这些国家分为三组：第一组由 13 个国家组成，这些国家于 2020 年 1 月报告了首例 COVID-19 病例；第二组和第三组分别由 13 个和 17 个国家组成，这些国家于同年 2 月和 3 月首次出现大流行。该关系是在报告首例病例之日起的四个时间段（截至 2020 年 4 月 1 日、4 月 15 日、5 月 15 日和 7 月 8 日）后测量的。结果表明，在三个国家组的四个时间段的研究中，每百万例 COVID-19 病例与温度呈负相关。在“1 月”国家中，从大流行开始平均 110.8 天和 164.8 天后，这些结果在统计学上才有显著意义（<0.1）。
