scholarly journals Does Temperature Affect COVID-19 Transmission?

2020 ◽  
Vol 8 ◽  
Author(s):  
Aly Zein Elabdeen Kassem
Keyword(s):  
Least Squares ◽  
Inverse Relationship ◽  
Least Squares Method ◽  
Linear Least Squares ◽  
First Case ◽  
Non Linear ◽  
Time Periods ◽  
The Impact ◽  
First Time

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 (p < 0.1) after 110.8, 164.8 days on average from the beginning of the pandemic in the case of “January” countries.

scholarly journals Do Weather Temperature and Median-age affect COVID-19 Transmission?

2020 ◽  
Author(s):  
Aly Zein Elabdeen Kassem
Keyword(s):  
Least Squares ◽  
Least Squares Method ◽  
Linear Least Squares ◽  
Transmission Rates ◽  
Aged Population ◽  
Early Stages ◽  
Non Linear ◽  
Advanced Stages ◽  
The Impact ◽  
First Time

AbstractIt was observed that the coldest countries and the eldest in terms of median-age were most distressed by COVID-19 pandemic, while the warmest countries and that have younger-aged population were the least affected. Therefore, this study utilized the non-linear least squares method to estimate the impact of weather temperatures and median age on COVID-19 cases per million in thirty-nine countries divided into two groups. The first group composed of twenty-four countries that announced the first COVID-19 case in January 2020, while the second group contains fifteen countries that witnessed the pandemic for the first time in February of the same year. The study revealed some major findings, which are: COVID-19 cases per million were not significantly affected by weather temperature or the median age in “January-group” countries (after 72.67 days on average), while COVID-19 cases per million increased significantly by decreasing temperatures, and increasing the median age in case of “February-group” countries (after an average of 44.80 days). This means that weather temperature and median age may influence the transmission rates of COVID-19 in its early stages, while weather temperature or median age no longer have effects in the advanced stages of the pandemic.

scholarly journals Simultaneous estimation of thermal properties by non-linear least squares method.

1985 ◽  
Vol 11 (1) ◽  
pp. 84-92 ◽  
Author(s):  
Jun Fukai ◽  
Minoru Watanabe ◽  
Takatoshi Miura ◽  
Shigemori Ohtani
Keyword(s):  
Thermal Properties ◽  
Least Squares ◽  
Least Squares Method ◽  
Simultaneous Estimation ◽  
Linear Least Squares ◽  
Non Linear
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