2020
DOI: 10.22207/jpam.14.spl1.40
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Abstract: Currently, the whole world is struggling with the biggest health problem COVID-19 name coined by the World Health Organization (WHO). This was raised from China in December 2019. This pandemic is going to change the world. Due to its communicable nature, it is contagious to both medically and economically. Though different contributing factors are not known yet. Herein, an effort has been made to find the correlation between temperature and different cases situation (suspected, confirmed, and death cases). For… Show more

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Cited by 59 publications
(40 citation statements)
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References 9 publications
(10 reference statements)
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“…However, our study shows a different result from the previous study since we find a moderate negative correlation between the two variables ( Table 1 ). Therefore, we attempt to compare our result to other studies such as in China ( Siddiqui et al, 2020 ), Turkey ( Sahin, 2020 ) and several countries ( Rasul and Balzter, 2020 ), and eventually we can draw a conclusion that negative correlation is the best statistical decision to explain the association between temperature and COVID-19 cases because high temperatures can suppress the virus as which reported by Guo et al (2020) . But, for other meteorological factors like humidity and rainfall, the results are negligible due to no statistically significant correlation ( Table 1 ).…”
Section: Resultsmentioning
confidence: 65%
“…However, our study shows a different result from the previous study since we find a moderate negative correlation between the two variables ( Table 1 ). Therefore, we attempt to compare our result to other studies such as in China ( Siddiqui et al, 2020 ), Turkey ( Sahin, 2020 ) and several countries ( Rasul and Balzter, 2020 ), and eventually we can draw a conclusion that negative correlation is the best statistical decision to explain the association between temperature and COVID-19 cases because high temperatures can suppress the virus as which reported by Guo et al (2020) . But, for other meteorological factors like humidity and rainfall, the results are negligible due to no statistically significant correlation ( Table 1 ).…”
Section: Resultsmentioning
confidence: 65%
“…In response to its sudden outbreak, persistent research works are going on in many different perspectives [4] , [5] , [6] . In [7] , [8] , [9] , [10] , [11] , authors have discussed the effective diagnostic methodologies using Artificial Intelligence (AI), deep learning, and machine learning techniques.…”
Section: Applications Of Deep Learning For Detection Of Covid-19mentioning
confidence: 99%
“…These predicted models can be used to determine which hospitals should be prioritized to receive supply and how limited resources should be distributed nationwide. Attempting to study factors outside of an individual's control, a study looked at temperature (12) and COVID-19 death patterns in different areas, aiding hospitals in deciphering disease patterns. However, with the minor association between death and temperature, more variables should be included into the fatality risk model.…”
Section: Related Workmentioning
confidence: 99%