Predicting COVID-19 Vaccine Hesitancy
Variables affecting hesitancy in taking COVID 19 vaccine
@kaggle.cid007_predicting_covid19_vaccine_hesitancy
Variables affecting hesitancy in taking COVID 19 vaccine
@kaggle.cid007_predicting_covid19_vaccine_hesitancy
“Vaccine hesitancy” is referred to as delay in taking vaccine or refusing to take vaccine. During the initial Covid wave, “vaccine hesitancy” —could prove deleterious for the US’ COVID-19 mitigation efforts, making herd immunity difficult to achieve. Researchers have identified various variables such as demographic, political, psychological, and health-based variables associated with vaccine hesitancy that could be used to identify potential hesitancy score of a person. Researchers collected data from 3353 US adults to create a predictive model of COVID-19 vaccine hesitancy.
CREATE TABLE vh_data15 (
"county_density" DOUBLE,
"vaccine_trust_index" DOUBLE,
"personal_responsibility" DOUBLE,
"trust_science_apolitical" DOUBLE,
"trust_science_politicians" DOUBLE,
"trust_science_media" DOUBLE,
"trust_science_community" DOUBLE,
"trust_national" DOUBLE,
"trust_state" DOUBLE,
"trust_local" DOUBLE,
"trust_media" DOUBLE,
"perceived_risk" DOUBLE,
"perceived_network_risk" DOUBLE,
"doctor_comfort" DOUBLE,
"fear_needles" DOUBLE,
"condition_pregnancy" DOUBLE,
"condition_asthma" DOUBLE,
"condition_lung" DOUBLE,
"condition_diabetes" DOUBLE,
"condition_immune" DOUBLE,
"condition_obesity" DOUBLE,
"condition_heart" DOUBLE,
"condition_organ" DOUBLE,
"county_cases" DOUBLE,
"county_cases2wk" DOUBLE,
"male" BIGINT,
"race" BIGINT,
"age" DOUBLE,
"ps_index" DOUBLE,
"natural_science_literacy" DOUBLE,
"college_degree" DOUBLE,
"pandemic_impact" DOUBLE,
"pandemic_impact_network" DOUBLE,
"infected_personal" DOUBLE,
"infected_network" DOUBLE,
"biden" VARCHAR,
"trump" VARCHAR,
"party_id" VARCHAR,
"household_income" DOUBLE,
"vaccine_required" BIGINT,
"evangelical" DOUBLE,
"vaccine_hesitant" BIGINT
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