Predicting COVID-19 Vaccine Hesitancy by Kaggle | Healthcare

About this Dataset

Predicting COVID-19 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.

Tables

Vh Data15

@kaggle.cid007_predicting_covid19_vaccine_hesitancy.vh_data15

136.28 KB
3353 rows
42 columns


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
);