  This report explores the central question of how socioeconomic status affects
Covid19 vaccination rates in the United States, using existing open-source
data. In general, a negative correlation exists between Area Deprivation Index
(ADI) of a county and first dose, primary series and booster vaccination rates.
Higher area deprivation correlated with polled vaccine hesitancy and lower
search interest in vaccine interest, intention to vaccinate or concern about
safety of vaccination. Positive correlations between ADI and certain mental
health search trends were noted. No clear correlation between deprivation index
and accessibility to vaccination sites were observed. In a small data sample,
county level housing assistance policies and public information campaigns were
noted to positively influence vaccine follow through rates. Finally, random
forest, linear regression and KNN models were explored to validate the use of
the above features for vaccine acceptance prediction.
