Correlation between temperature and COVID-19 (suspected, confirmed and death) cases based on machine learning analysis. (Special Issue: Coronaviruses and COVID-19- Past, Present, and Future.)
Journal of Pure and Applied Microbiology
; 14(Suppl. 1):1017-1024, 2020.
Article
in English
| CAB Abstracts | ID: covidwho-1395593
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 a said purpose, k-means clustering-based machine learning method has been employed on the data set from different regions of China, which has been obtained from the WHO. The novelty of this work is that we have included the temperature field in the original WHO data set and further explore the trends. The trends show the effect of te.
Full text:
Available
Collection:
Databases of international organizations
Database:
CAB Abstracts
Language:
English
Journal:
Journal of Pure and Applied Microbiology
Year:
2020
Document Type:
Article
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