Exploring Correlations of COVID-19 Mortality Rates with Development Variables: The Case of Northeast India
Journal of Pharmaceutical Research International,
Aim: This paper explores the correlation of the Covid-19 mortality rate with some other developmental variables. This study also attempts to highlight the state-wise variability in mortality rate in the Northeastern region of India.
Study Design: The study focuses on eight Northeastern states, correlating the Covid-19 mortality rate and other development (or socio-economic) variables. This study focuses on the region of North East India because there have been few investigations on Covid-19 in the region. This study follows a cross-sectional study design.
Duration of the Study: The study was conducted and completed around three months.
Methodology: The nature of the correlation between the mortality rate of Covid-19 and the other variables is determined by using the Karl Pearson correlation approach. We began by performing a correlation study and calculating the correlation coefficients.
Results: The results demonstrate that all independent variables adversely correlate with the Covid-19 mortality rate. Except for the number of doctors in district hospitals and health spending per capita, which have a moderate negative correlation with the predicted variable, all explanatory factors have a weak negative connection with the death rate. Surprisingly, both the NSDP per Capita and the case positivity rate have negative findings. Another major issue in the findings is that none of the factors statistically link with mortality.
Conclusion: This research shows that the more a state's socio-economic infrastructures, notably its health infrastructures, are developed, the lower the mortality rate in a pandemic will be.
- mortality rate
- north eastern region
- socio-economic variables
How to Cite
Knittel, C. R., Ozaltun, B. What Does And Does Not Correlate With Covid-19 Death Rates. Working Paper 27391, National Bureau of Economic Research; 2020. Available:http://www.nber.org/papers/w27391
Goswami B, Mandal R, Nath H. K. Covid-19 pandemic and economic performances of the states in India. Economic Analysis and Policy. 2021;69: 461–479. Avaialble:https://doi.org/10.1016/j.eap.2021.01.001
Mele M, Magazzino C. Pollution, economic growth, and Covid-19 deaths in India: a machine learning evidence. Environ Sci Pollut Res.2021, 28:2669–2677. Available:https://doi.org/10.1007/s11356-020-10689-0
Bhadra A, Mukherjee A, Sarkar K. Impact of population density on Covid-19 infected and mortality rate in India. Modeling Earth Systems and Environment. 2021;7:623–629. Avaialbel:https://doi.org/10.1007/s40808-020-00984-7
Liu K, Heb M, Zhuangc Z, He D, Lid H. Unexpected positive correlation between human development index and risk of infections and deaths of COVID-19 in Italy. One Health. 2020, 10: 1-3. Available:https://doi.org/10.1016/j.onehlt.2020.100174
Ghosh A, Nundy S, Mallick TK. How India is dealing with COVID-19 pandemic. Sensors International. 2020, 1. Avaialble:https://doi.org/10.1016/j.sintl.2020.100021
National Health Profile (NHP) of India- 2020, Ministry of Health and Family Welfare.
Ministry of Statistics and Programme Implementation (MoSPI), Government of India.
SDG India Index and Dashboard, 2020-21, NITI Aayog.
Reserve Bank of India website.
Ministry of Health and Family Welfare, India (https://mohfw.gov.in/) .
Asfahan S, Shahul A, Chawla G, Dutt N, Niwas R, Gupta N. Early trends of socio-economic and health indicators influencing case fatality rate of COVID-19 pandemic. Monaldi Archives for Chest Disease 2020. 2020; 90:1388:451-457.
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