Exploring Correlations of COVID-19 Mortality Rates with Development Variables: The Case of Northeast India

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.