Correlation Between Temperature and COVID-19 (Suspected, Confirmed and Death) Cases based on Machine Learning Analysis | Zendy

Mohammad Khubeb Siddiqui | Zendy; Rubén Morales-Menéndez | Zendy; Pradeep Kumar | Zendy; Hafiz M.N. Iqbal | Zendy; Fida Hussain | Zendy; Khudeja Khatoon | Zendy; Sultan Ahmad | Zendy

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Correlation Between Temperature and COVID-19 (Suspected, Confirmed and Death) Cases based on Machine Learning Analysis

Author(s) -

Mohammad Khubeb Siddiqui,

Rubén Morales-Menéndez,

Pradeep Kumar,

Hafiz M.N. Iqbal,

Fida Hussain,

Khudeja Khatoon,

Sultan Ahmad

Publication year - 2020

Publication title -

journal of pure and applied microbiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.149

H-Index - 16

eISSN - 2581-690X

pISSN - 0973-7510

DOI - 10.22207/jpam.14.spl1.40

Subject(s) - novelty , covid-19 , pandemic , correlation , set (abstract data type) , field (mathematics) , cluster analysis , data set , china , artificial intelligence , computer science , data science , machine learning , medicine , political science , psychology , mathematics , virology , law , pathology , social psychology , disease , infectious disease (medical specialty) , pure mathematics , geometry , outbreak , programming language

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.

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