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<p>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.</p>

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Evolution of Socio-economic Impacts on COVID-19 Cases and Deaths in the US

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月19日

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  • Dhammika Amaratunga,
  • Javier Cabrera,
  • Ge Cheng,
  • Mingshi Cui,
  • Mahan Dastgiri,
  • Nuria Diaz-Tena,
  • Yajie Duan,
  • Michael N. Katehakis,
  • Kunting Qi,
  • Davit Sargsyan,
  • Jin Wang

摘要

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.