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Correlation Between Temperature and COVID-19 (Suspected, Confirmed and Death) Cases based on Machine Learning Analysis
- Source :
- Journal of Pure and Applied Microbiology, Vol 14, Iss suppl 1, Pp 1017-1024 (2020)
- Publication Year :
- 2020
- Publisher :
- Journal of Pure and Applied Microbiology, 2020.
-
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 temperature on each region in three different perspectives of COVID-19 – suspected, confirmed and death.
- Subjects :
- coronavirus
covid-19
machine learning
k-means clustering
Microbiology
QR1-502
Subjects
Details
- Language :
- English
- ISSN :
- 09737510 and 2581690X
- Volume :
- 14
- Issue :
- suppl 1
- Database :
- Directory of Open Access Journals
- Journal :
- Journal of Pure and Applied Microbiology
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.8e4fb94748d944f684efabc22504fc16
- Document Type :
- article
- Full Text :
- https://doi.org/10.22207/JPAM.14.SPL1.40