Your browser doesn't support javascript.
Trust in government actors and COVID-19 vaccination uptake among Hispanics and Latinos in the U.S.
Rivera, Jason D.
  • Rivera JD; John Jay College of Criminal Justice, Department of Public Management, USA.
Int J Disaster Risk Reduct ; 89: 103627, 2023 Apr 15.
Article in English | MEDLINE | ID: covidwho-2278407
ABSTRACT
Although the federal government has made official recommendations to the public advocating vaccinations against COVID-19 various communities have decided against doing so. In this regard, various studies have indicated that trust in government to provide accurate information about vaccines during a pandemic are related to whether people get vaccinated. Various studies have investigated factors contributing to vaccine decision-making, but none specifically focus on Hispanic and Latinos in the United States. This study identifies factors associated with COVID-19 vaccination among Hispanics and Latinos using a nation-wide, phone-based survey. Using data generated by the Kaiser Family Foundation's COVID-19 Vaccine Monitor, collected in June 2021, a logistic regression on the decision to get vaccinated, trust in various governmental actors, in addition to demographic variables such as age, race, employment status, parental status, employment status, and income are observed to be significant in Hispanics' and Latinos' decision to be vaccinated against COVID-19. As a byproduct of these findings, recommendations for future research are provided that relate to expanding our understanding of these factors among different ethnicities of Latinos.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Topics: Vaccines Language: English Journal: Int J Disaster Risk Reduct Year: 2023 Document Type: Article Affiliation country: J.ijdrr.2023.103627

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Type of study: Observational study Topics: Vaccines Language: English Journal: Int J Disaster Risk Reduct Year: 2023 Document Type: Article Affiliation country: J.ijdrr.2023.103627