tetano
Editor, Senior Moderator
Model Earth Syst Environ
. 2021 Jan 27;1-11.
doi: 10.1007/s40808-021-01118-3. Online ahead of print.
Statistical data analysis of risk factor associated with mortality rate by COVID-19 pandemic in India
Bijay Halder[SUP] 1 [/SUP], Jatisankar Bandyopadhyay[SUP] 1 2 [/SUP], Papiya Banik[SUP] 3 [/SUP]
Affiliations
Abstract
The coronavirus is an infection caused by severe acute respiratory syndrome (SARS) coronavirus, known as SARS-CoV-2. It was first determined in Wuhan, China in December 2019. WHO named this virus as COVID-19. Virologist says that COVID-19 is similar to SARS and MARS virus. This deadly disease affected worldwide economically, hammering people lifestyle and also the environmental condition. After a few months, there is no vaccine to build the barricade between this virus and life. Many countries have tried to improve the methodology to control the disease and also the actual vaccine for coronavirus but not yet successful. Rapid testing, quarantine and social distancing slow down the social and economic movement. Although India, as one of the largest populated country, takes some respectable initiative after the pandemic of the novel coronavirus. According to WHO 24th May 2020 report, total 131,868 confirmed cases and killed over 3867 people by this COVID-19 pandemic. Indian government takes the initiative like janta curfew, lockdown all over the country. The main focus or aim of this study is to find the mortality rate and the recovered people at the fourth phase of lockdown, but the infected graph is daily increased in India. In the relation between active cases and the death cases, the R [SUP]2[/SUP] value is 0.8754. The relation between active cases and the recoveries, the R [SUP]2[/SUP] value is 0.9246. In between 116 days, the mortality rate is less in before lockdown (0.129%) and third phase lockdown is facing a huge mortality rate (43.496%).
Keywords: COVID-19 pandemic; Global issues; India; Lockdown; Mortality rate; People health.
. 2021 Jan 27;1-11.
doi: 10.1007/s40808-021-01118-3. Online ahead of print.
Statistical data analysis of risk factor associated with mortality rate by COVID-19 pandemic in India
Bijay Halder[SUP] 1 [/SUP], Jatisankar Bandyopadhyay[SUP] 1 2 [/SUP], Papiya Banik[SUP] 3 [/SUP]
Affiliations
- PMID: 33527084
- PMCID: PMC7838236
- DOI: 10.1007/s40808-021-01118-3
Abstract
The coronavirus is an infection caused by severe acute respiratory syndrome (SARS) coronavirus, known as SARS-CoV-2. It was first determined in Wuhan, China in December 2019. WHO named this virus as COVID-19. Virologist says that COVID-19 is similar to SARS and MARS virus. This deadly disease affected worldwide economically, hammering people lifestyle and also the environmental condition. After a few months, there is no vaccine to build the barricade between this virus and life. Many countries have tried to improve the methodology to control the disease and also the actual vaccine for coronavirus but not yet successful. Rapid testing, quarantine and social distancing slow down the social and economic movement. Although India, as one of the largest populated country, takes some respectable initiative after the pandemic of the novel coronavirus. According to WHO 24th May 2020 report, total 131,868 confirmed cases and killed over 3867 people by this COVID-19 pandemic. Indian government takes the initiative like janta curfew, lockdown all over the country. The main focus or aim of this study is to find the mortality rate and the recovered people at the fourth phase of lockdown, but the infected graph is daily increased in India. In the relation between active cases and the death cases, the R [SUP]2[/SUP] value is 0.8754. The relation between active cases and the recoveries, the R [SUP]2[/SUP] value is 0.9246. In between 116 days, the mortality rate is less in before lockdown (0.129%) and third phase lockdown is facing a huge mortality rate (43.496%).
Keywords: COVID-19 pandemic; Global issues; India; Lockdown; Mortality rate; People health.