Statistical data analysis of risk factor associated with mortality rate by COVID-19 pandemic in India

Bijay Halder1, Jatisankar Bandyopadhyay1,2, Papiya Banik3

  • 1Department of Remote Sensing and GIS, Vidyasagar University, Midnapore, India.

Modeling Earth Systems and Environment
|February 2, 2021
PubMed

Insights

This study analyzes COVID-19 mortality and recovery rates in India during lockdown phases. It found a significant increase in mortality during the third lockdown phase, despite rising infections.

Area of Science:

  • Epidemiology
  • Public Health

Background:

  • COVID-19, caused by SARS-CoV-2, emerged in Wuhan, China, in December 2019.
  • The pandemic has had severe global economic and lifestyle impacts.
  • Initial efforts to control the virus and develop vaccines have faced challenges.

Purpose of the Study:

  • To analyze COVID-19 mortality and recovery rates in India during the fourth phase of lockdown.
  • To examine the relationship between active cases, deaths, and recoveries.
  • To assess the impact of lockdown phases on mortality rates.

Main Methods:

  • Statistical analysis of COVID-19 data in India.
  • Correlation analysis between active cases, deaths, and recoveries (R² values provided).
  • Examination of mortality rates across different lockdown phases.

Main Results:

  • A strong correlation was observed between active cases and deaths (R² = 0.8754).
  • A high correlation was found between active cases and recoveries (R² = 0.9246).
  • Mortality rates varied significantly, with a low rate before lockdown (0.129%) and a high rate during the third phase (43.496%).

Conclusions:

  • The study highlights the dynamic nature of COVID-19 spread and its impact on mortality.
  • Lockdown phases demonstrated a significant influence on the disease's mortality rate in India.
  • Continued monitoring and analysis are crucial for effective pandemic management.

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