COVID-19 outbreak data analysis and prediction. (February 2023)

• Record Type: Journal Article
• Authors: Anandan, R.; Nalini, T.; Chiwhane, Shwetambari; Shanmuganathan, M.; Radhakrishnan, P.
• Is Part Of: Measurement. Volume 25(2023)
• Publication Date: 2023-02
• Subjects: Regression -- Linear-regression -- Covid-19 -- Data analysis -- MERS -- SARS; Detectors -- Periodicals; Measurement -- Periodicals; 530.7
• DOI: 10.1016/j.measen.2022.100585
• Languages: English
• ISSNs: 2665-9174

Abstract

Abstract: Covid-19 is a novel pandemic disease with no potential vaccine treatment or medicine, the world is facing currently as of now. The death toll has increased to several lakhs and recovery rate is comparatively very less, was initially spotted in Wuhan (China). This spreads through close contact with people and socializing. The number of infected people varies with different parts of the world In our particular country India we are going through the lock down period which is the only vaccine to promote "social distancing" The hurdle arose due to the widespread of corona is major economy loss in combo with innocent lives. In this manuscript, we are visualizing the dataset which is publicly available to map, differentiate and separate the data in order to segregate the places that are most prone and perform basic regression to identify and predict the increasability of the counts from the dataset.