Evolution of Socio-economic Impacts on COVID-19 Cases and Deaths in the US
研究了美国新泽西、纽约、加州和佛罗里达四州的社会经济因素、疫苗接种与COVID-19病例和死亡的关系，发现疫苗降低死亡率但不一定减少病例数，且存在区域差异。
Abstract This paper investigates the interplay of socio-economic factors, vaccination, and the dynamics of COVID-19 across New Jersey (NJ), New York State, California, and Florida. Utilizing a diverse set of explanatory variables, including those related to food and health access, geographic factors, demographic attributes, and vaccine-related variables, we employ statistical models to discern patterns and trends. Our investigation delves into the influence of socio-economic factors on COVID-19 cases and deaths, considering variations across different periods. We employ two distinct models, Univariate modeling and linear model with backward selection, to gain comprehensive insights into the evolving dynamics of the pandemic. Our analysis of New Jersey data unveils notable trends, particularly in vaccination effectiveness. Our findings demonstrate that while vaccinations significantly lower COVID-19 mortality rates, they may not consistently reduce case numbers. Expanding our investigation to other states underscores regional disparities, underscoring the necessity for customized public health approaches. The results imply the relationship between socio-economic dynamics and vaccination campaigns, guiding targeted interventions to alleviate the pandemic’s repercussions effectively.