COVID-19 Prevention Facilitators and Barriers among Specific Ethnic Minority Communities in Rural Ohio
Pordell, P.; Ali, H.; Medina Martinez, G.; Taylor, B.; Kondapally, K.; Salehi, E.; de Fijter, S.; Hayes, N.; Lloyd, S.
Show abstract
ObjectiveTo assess knowledge, beliefs, and behaviors concerning COVID-19 among Guatemalan, Marshallese, and Amish populations in rural Ohio; identify individual, interpersonal, community, and structural level challenges within each community; and provide population-specific recommendations to prevent and mitigate further SARS-CoV-2 transmission among these rural communities. MethodsWe conducted 30 key informant interviews in four rural counties in Ohio, in May 2020. Three teams of two investigators conducted interviews with local health department staff, community members, meat packing plant management, and community leaders from three communities disproportionately affected by the COVID-19 pandemic [Guatemalan (N=12), Marshallese (N=7), Amish (N=11)]. We used the Social Ecological Model to identify and categorize themes. ResultsEmerging and overall themes were identified and defined. Investigators identified COVID-19 knowledge gaps, myths, and misinformation, food insecurity, community cohesion, stigma, community culture and norms, lack of workplace safety policies, and access to testing as key themes to COVID-19 prevention. ConclusionsUnderstanding specific barriers and identifying facilitators that most effectively provide resources, healthcare services, education, and social support tailored to specific communities would help deter SARS-CoV-2 transmission.
Matching journals
The top 2 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- COVID-19 self-testing in Nigeria: Stakeholders’ opinions and perspective on its value for case detection 95%
- Opinions of Former Jail Residents about Self-collection of SARS-CoV-2 Specimens, Paired with Wastewater Surveillance: A Qualitative Study Rapidly Examining Acceptability of COVID-19 Mitigation Measures 95%
- Sources of Successful Participant Engagement in a Public Health Research Study: a Focus on a Latino Community 95%
Similar papers in this journal
- Who participates in ‘participatory design’ of WASH infrastructure: a mixed-methods process evaluation 95%
- Navigating vaccination choices: The intersecting dynamics of institutional trust, belonging and message perception among Congolese migrants in the UK (A reflexive thematic analysis) 95%
- Qualitative Study of Acceptability, Benefits, and Feasibility of a Food-based Intervention among Participants and Stakeholders of the RATIONS Trial 95%
Similar papers in this journal
- Community Perceptions of Vaccination Among Influential Stakeholders: Qualitative Research in Rural India 95%
- Acceptability and feasibility of strategies to shield the vulnerable during the COVID-19 outbreak: a qualitative study in six Sudanese communities 95%
- Feasibility and acceptability of daily testing at school as an alternative to self-isolation following close contact with a confirmed case of COVID-19: A qualitative analysis 93%
Similar papers in this journal
- Experience of the COVID-19 pandemic in rural Odisha, India: knowledge, preventative actions, and impacts on daily life 96%
- COVID-19 Pandemic among Latinx Farmworker and Non-farmworker Families in North Carolina: Knowledge, Risk Perceptions, and Preventive Behaviors 94%
- “My friends would believe my word”: appropriateness and acceptability of respondent-driven sampling in recruiting young tertiary student men who have sex with men for HIV/STI research in Nairobi, Kenya 93%
Similar papers in this journal
- Cross-sector Decision Landscape in Response to COVID-19: A Qualitative Analysis of North Carolina Decision-Makers 96%
- A Development and Implementation of a Preconception Counseling Program for Black Women and Men in the Southeastern United States: A Pilot Protocol 94%
- Strategies to Estimate Prevalence of SARS-CoV-2 Antibodies in a Texas Vulnerable Population: Results from Phase I of the Texas Coronavirus Antibody REsponse Survey (TX CARES) 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.