Preprint Review Version 1 Preserved in Portico This version is not peer-reviewed

A Deep Analysis on the Impact and Statistics of Covid-19 in Kerala, India – A Meta-Analysis Study

Version 1 : Received: 18 September 2020 / Approved: 21 September 2020 / Online: 21 September 2020 (11:09:11 CEST)

How to cite: Dickson, M.; Abhilash, A.; G Menon, G.; Chandran, S. A Deep Analysis on the Impact and Statistics of Covid-19 in Kerala, India – A Meta-Analysis Study. Preprints 2020, 2020090500. https://doi.org/10.20944/preprints202009.0500.v1 Dickson, M.; Abhilash, A.; G Menon, G.; Chandran, S. A Deep Analysis on the Impact and Statistics of Covid-19 in Kerala, India – A Meta-Analysis Study. Preprints 2020, 2020090500. https://doi.org/10.20944/preprints202009.0500.v1

Abstract

Background: COVID-19 pandemic has pulled us all a few steps back, were we never shake hands or hug each other when we meet our friends and family after a gap, but instead we greet them by saying Namaste and joining our hands together. As we all know, COVID-19 spreads through air and the only way to shield ourselves is by maintaining a safe distance from one another. Methodology: In order to conduct a meta-analysis on the number of COVID-19 cases in Kerala and India, the data was retrieved from various sites hosted by the government bodies. The data for analysis was collected from May 2020 to July 2020. The average number of days required to reach every 5000 fresh cases were also calculated using this data. COVID-19 has affected all the economy holistically regardless of financial, behavioral, or societal aspects. Conclusion: Lifting of the lockdown in a step by step process keeping in mind the necessities for the nation was a thoughtful act, but the people who mistook this opportunity and did not remain in quarantine after coming from abroad was recognized as the reasons behind the sudden and uncontrolled rise in the number of COVID-19 cases in Kerala, India. The government authorities had no other option but to lift the restrictions to reduce the economic burdens that had already affected the daily wage worker and farmers prompting them to give up their lives.

Keywords

COVID-19; impact on society during COVID-19; behavioral impact of COVID-19; government policies against COVID-19; measures adopted by the government; COVID-19 Statistics; Infection rate and Data analysis

Subject

Biology and Life Sciences, Virology

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