The purpose of this study is to find the demographic factors which are
responsible for the spread of COVID-19 and to suggest a measure to
identify the effectiveness of government policies in controlling
COVID-19. The study hypothesises that the cumulative number of confirmed
COVID-19 patients depends on the urban population, rural population,
number of persons aged more than fifty, the population density and
poverty rate in the state. A log-linear model is used to test the stated
hypothesis, with the cumulative number of confirmed COVID-19 patients up
to period as a dependent variable and demographic factors as an
independent variable. The regression result shows that out of the
selected variables, only the urban population significantly impacts the
total number of patients tested positive for COVID-19. Our study finds
that the urban population significantly impacts the spread of COVID-19.
On the other had the demographic factors like rural population, density,
and age structure do not impact the spread of COVID-19 significantly.
Thus the people residing in the urban areas face a more significant
threat of COVID-19 as compared to the people in rural areas. The study
identifies the Indian states which need greater effectiveness in the
implementation of pandemic control policies. Our study finds that the
urban population significantly impacts the spread of COVID-19. On the
other had the demographic factors like rural population, density, and
age structure do not impact the spread of COVID-19 significantly. Thus
the people residing in the urban areas face a more significant threat of
COVID-19 as compared to the people in rural areas. The study identifies
the Indian states which need greater effectiveness in the implementation
of pandemic control policies.