| Literature DB >> 33543447 |
Elizabeth Davlantes1, Ashley Tippins2, Catherine Espinosa2, Hannah Lofgren2, Sarah Leonard2, Monica Solis3, Andrea Young3, Denise Sockwell3, Alison Ansher3.
Abstract
OBJECTIVES: To identify factors contributing to disproportionate rates of COVID-19 among Hispanic or Latino persons in Prince William Health District, Virginia, and to identify measures to better engage Hispanic and Latino communities in COVID-19 mitigation.Entities:
Keywords: COVID-19; Hispanic; Latino; Spanish
Mesh:
Year: 2021 PMID: 33543447 PMCID: PMC7860999 DOI: 10.1007/s40615-021-00968-y
Source DB: PubMed Journal: J Racial Ethn Health Disparities ISSN: 2196-8837
Survey respondent characteristics (n = 161)—June 2020
| % | ||
|---|---|---|
| Mean age (IQR) | 40.6 (31–49) | |
| Sex | ||
| Female | 77 | 47.5 |
| Male | 82 | 51.0 |
| Jurisdiction | ||
| Prince William County | 64 | 39.8 |
| Manassas | 83 | 51.7 |
| Manassas Park | 11 | 7.0 |
| Mean household size (IQR) | 5.6 (4–7) | |
| English proficiency (respondent) | ||
| Very well or well | 32 | 20.1 |
| Not well or not at all | 91 | 56.5 |
| Missing | 37 | 23.0 |
| Education | ||
| Less than high school | 98 | 60.9 |
| High school or higher | 61 | 37.9 |
| Country of origin | ||
| El Salvador | 57 | 35.2 |
| Mexico | 38 | 23.3 |
| Guatemala | 25 | 15.7 |
| Honduras | 13 | 8.3 |
| USA | 12 | 7.1 |
| Other | 15 | 9.3 |
| Employed (respondent) | ||
| Yes | 93 | 57.5 |
| Occupation ( | ||
| Construction/landscaping | 40 | 43.0 |
| Restaurant | 15 | 16.1 |
| Retail | 6 | 6.5 |
| Cleaning | 9 | 9.2 |
| Healthcare/childcare/professional | 7 | 7.5 |
| Other | 16 | 17.2 |
| Employed (household members) | ||
| Yes | 130 | 80.9 |
| Occupation ( | ||
| Construction/landscaping | 68 | 52.3 |
| Restaurant | 29 | 22.2 |
| Retail | 21 | 16.2 |
| Cleaning | 10 | 7.7 |
| Healthcare/childcare/professional | 24 | 18.5 |
| Other | 24 | 18.5 |
Survey weights applied; sample weighted on age, sex, and jurisdiction. Unweighted sample size n = 177
Results may not sum to 100%. Some questions allowed multiple responses, while others had a small amount of missing data
Fig. 1Survey respondents’ reasons for undergoing SARS-CoV-2 testing (n = 161)—June 2020
Factors associated with positive SARS-CoV-2 test among survey respondents (n = 161)—June 2020
| Univariable logistic regression | Multivariable logistic regression | |||||
|---|---|---|---|---|---|---|
| OR | 95% CI | OR | 95% CI | |||
| Total number in household | 1.2 | 1.02–1.4 | 0.02 | 1.2 | 1.03–1.5 | 0.04 |
| Employed (respondent) | 2.0 | 0.9–4.5 | 0.20 | 2.5 | 1.006–6.3 | 0.05 |
| Household member tested positive | 15.4 | 3.8–62.2 | 0.0002 | 12.9 | 3.5–46.8 | 0.002 |
Respondents who reported any positive SARS-CoV-2 diagnostic test result (28 respondents) compared to those who reported only testing negative (38) or never being tested (90). Excluded respondents who were tested and had unknown test results. Adjusted for sex, age, and jurisdiction. Unweighted sample size n = 177
Fig. 2Impact of COVID-19 on survey respondents (n = 161)—June 2020