Abstract
The purpose of this study is to find the demographic factors associated with the spread of COVID-19 and to suggest a measure for identifying the effectiveness of government policies in controlling COVID-19. The study hypothesizes that the cumulative number of confirmed COVID-19 patients depends on the urban population, rural population, number of persons older than 50, population density, and poverty rate. A log-linear model is used to test the stated hypothesis, with the cumulative number of confirmed COVID-19 patients up to period [Formula: see text] as a dependent variable and demographic factors as an independent variable. The policy effectiveness indicator is calculated by taking the difference of the COVID rank of the [Formula: see text]th state based on the predicted model and the actual COVID rank of the [Formula: see text]th state[Formula: see text]Our study finds that the urban population significantly impacts the spread of COVID-19. On the other hand, demographic factors such as rural population, density, and age structure do not impact the spread of COVID-19 significantly. Thus, people residing in urban areas face a significant threat of COVID-19 as compared to people in rural areas.
Highlights
The purpose of this study is to find the demographic factors associated with the spread of COVID-19 and to suggest a measure for identifying the effectiveness of government policies in controlling COVID-19
Cti is the dependent variable that shows the cumulative number of confirmed COVID-19 patients in the ith state up to period t, X1i is the total population in the urban areas of the ith state, X2i is the total population in the rural areas of the ith state, X3i is the total population older than 50 in the ith state, X4i is the population density in the ith state, X5i is the poverty rate in the ith state, and li is the random error term
Demographic factors such as rural population, density, and age structure do not have a significant impact on the spread of the disease
Summary
The purpose of this study is to find the demographic factors associated with the spread of COVID-19 and to suggest a measure for identifying the effectiveness of government policies in controlling COVID-19. Demographic factors such as rural population, density, and age structure do not impact the spread of COVID-19 significantly. The year 2020 gave birth to a pandemic called COVID-19, which overshadowed all the existing problems faced by the world. It led to the suspension of social and economic activities in almost all countries. The reinstatement of all aspects of social and economic life depends on how effectively governments across the globe tackle this pandemic and protect their populations from getting infected. The success of a public program or plan depends on several factors. Despite the current slowdown in the Indian economy, International Journal of Health Services 0(0)
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