ASDRP McMahan Fall 2021 - Big Data Group
Project Name: Relating Socioeconomic Position (SEP) with rates of Covid-19 and Vaccination in select populations.
Authors + Creators: Sweekrit Bhatnagar, Yue Cao, Joshua Li, Diya Hasteer
Advisor: Dr. Larry McMahan
Organization: All authors and advisors are associated with the Aspiring Scholars Directed Research Program at 46307 Warm Springs Blvd, Fremont, CA 94539
Abstract: COVID-19 has demonstrated the implications of economic interactions in our society on disease and vice versa. Multiple studies observe a negative relationship between socioeconomic position (SEP) and rates of disease in infections such as dengue fever, malaria, rabies, hookworm, and tuberculosis. We observed the relationship between Covid-19 and economic factors such as per-capita GDP, net taxable assessed value, public assistance, etc. to find a correlation between such factors and Covid-19. In addition to that, we studied the rates of vaccination and its correlation to economic values, and work towards creating a model for it. Finally, a preliminary model representing the probability-based spread of disease provides us with a baseline to compare the prevalence with. This paper will cover the results and the relationships that we determined between certain economic factors and disease, and our conclusions on it.
This code set is all files for a project to track socioeconomic position with rates of Covid-19 and vaccination.
It has three parts:
1 - Modeling disease spread (modeling-inequality-with-mesa file)
2 - Relating Covid-19 prevalence to socioeconomic position
3 - Relating rates of vaccination to Covid-19 prevalence (vaccinecorrelation)
Additional information on 3: it draws information from 1_vaccinationratiodata_CA, 1_vaccinationratiodata_OR, and 1_vaccinationratiodata_VT. All other files are datasets we used to build and cross-check information in those three csv files.