| Literature DB >> 36225668 |
Nicole C Tensmeyer1, Nathan N L Dinh1, Landy T Sun1, Corey B Meyer1.
Abstract
Introduction: During the coronavirus disease 2019 (COVID-19) vaccination campaign, non-English-communicating individuals have faced inequities in access to resources for vaccine education and uptake. We characterized the language translation status of states' COVID-19 vaccine websites to inform discussion on the sufficiency of translated information and strategies for expanding the availability of multilingual vaccine information.Entities:
Keywords: COVID-19 vaccine; language access; language translation; limited English proficiency; vaccination campaign
Year: 2022 PMID: 36225668 PMCID: PMC9536349 DOI: 10.1089/heq.2021.0189
Source DB: PubMed Journal: Health Equity ISSN: 2473-1242
Summary of Resources Provided by Each Jurisdiction
| Jurisdiction | Informational resources | Access resources |
|---|---|---|
| Alabama | None | None |
| Alaska | None | None |
| Arizona | Original | Original |
| Arkansas | Machine-Generated and Original | Machine-Generated and Original |
| California | Machine-Generated and Original | Original |
| Colorado | Original | Original |
| Connecticut | Machine-Generated | Machine-Generated and Original[ |
| Delaware | Original | None |
| District of Columbia | Machine-Generated | Machine-Generated |
| Federal | Original | Original |
| Florida | Original | Original |
| Georgia | Machine-Generated and Original | Machine-Generated and Original |
| Hawaii | Machine-Generated | Machine-Generated and Original[ |
| Idaho | Machine-Generated | Machine-Generated |
| Illinois | Machine-Generated | Machine Generated and Original |
| Indiana | Machine-Generated | Machine-Generated and Original |
| Iowa | Machine-Generated | Machine-Generated |
| Kansas | Machine-Generated | Machine-Generated and Original |
| Kentucky | Machine-Generated | Machine-Generated |
| Louisiana | Machine-Generated and Original | Machine-Generated and Original |
| Maine | Machine-Generated | Machine-Generated |
| Maryland | Machine-Generated | None |
| Massachusetts | Machine-Generated and Original | Machine-Generated |
| Michigan | Original | None |
| Minnesota | Original | Original[ |
| Mississippi | Machine-Generated | Machine-Generated |
| Missouri | Machine-Generated | Machine-Generated |
| Montana | Machine-Generated | Machine-Generated |
| Nebraska | Machine-Generated and Original | Machine-Generated and Original |
| Nevada | Machine-Generated | Machine-Generated |
| New Hampshire | Machine-Generated | Machine-Generated |
| New Jersey | Original | Original |
| New Mexico | None | Machine-Generated |
| New York | Original | Original |
| North Carolina | Machine-Generated and Original | Machine-Generated and Original |
| North Dakota | Original | Original[ |
| Ohio | Machine-Generated | Machine-Generated |
| Oklahoma | Machine-Generated and Original | Machine-Generated and Original |
| Oregon | Machine-Generated and Original | Machine-Generated and Original |
| Pennsylvania | Machine-Generated | Machine-Generated |
| Rhode Island | Original | Original |
| South Carolina | Machine-Generated and Original | Machine-Generated and Original |
| South Dakota | Original | None |
| Tennessee | Machine-Generated | Machine-Generated |
| Texas | Original | Original |
| Utah | Original | Original |
| Vermont | Machine-Generated and Original | Machine-Generated |
| Virginia | Machine-Generated and Original | Original |
| Washington | Original | Original |
| West Virginia | None | None |
| Wisconsin | Original | None |
| Wyoming | Machine-Generated and Original | Machine-Generated |
VAMS registration only.
PrepMod registration only.
FIG. 1.Language coverage of COVID-19 vaccine websites by jurisdiction. This chart shows the number of languages provided through professional translation of COVID-19 vaccine informational or access resources on each jurisdiction's COVID-19 website, relative to the number of non-English languages expected based on several population thresholds. The length of each colored bar is cumulative, where the total length of each bar (brown, orange, and blue sections) is the total number of non-English languages spoken at home by at least 0.07% of a jurisdiction's population (per language). The number of non-English languages spoken at home by at least 0.5% of a jurisdiction's population is indicated by the total length of the brown and orange bars, and the total number of non-English languages spoken at home by at least 5% of a jurisdiction's population is shown by the length of the brown bar. For each jurisdiction, the number of languages provided for vaccine informational resources is designated by an open square, and the number of languages provided for vaccine access resources is designated by a diamond. COVID-19, coronavirus disease 2019.
FIG. 2.Language coverage of COVID-19 vaccine websites by language. This chart shows number of professional translations of COVID-19 vaccine informational and access resources on state/D.C./federal COVID-19 websites by language. The full bar (black outline) represents the total number of jurisdictions that are expected to provide a translation in that language based on a 0.5% population threshold. The colored portion of the bar represents the number of jurisdictions that provided professional translations of vaccine access resources (navy blue) and vaccine informational resources (orange) in that language, across all jurisdictions (states, D.C., and federal). The remaining portion of the bar represents the number of jurisdictions that were expected to provide professional translation in that language but did not, for access resources (gray) and informational resources (white). This chart shows all languages that are expected in one or more states/D.C. using the 0.5% population threshold, listed in descending order based on the number of jurisdictions expected to provide the language. The chart does not display languages that are spoken at home by fewer than 0.5% of the population of any individual state or D.C. D.C., District of Columbia.
FIG. 3.Person coverage of COVID-19 vaccine resource translations by jurisdiction. This chart shows the total number of non-English speakers in each jurisdiction, compared with the number of non-English speakers with professionally translated versions of COVID-19 vaccine resources available in their primary language on their state/D.C./federal COVID-19 website. The length of each colored portion is cumulative, where total length of the bar (brown, orange, blue, and gray sections) is the total number of people who speak a language other than English at home in the jurisdiction. The brown bar represents the number of people who speak a language that is spoken at home by at least 5% of the jurisdiction's population; the combined length of the brown and orange bars represents the number of people who speak a language that is spoken at home by at least 0.5% of the jurisdiction's population; and the combined length of the brown, orange, and blue bars represents the number of people who speak a language that is spoken at home by at least 0.07% of the jurisdiction's population. The number of people with professionally translated versions of vaccine informational resources available in their primary language from their jurisdiction's website is designated by an open square, and the number of people with professionally translated versions of access resources in their primary language is designated by a diamond. Data for California, Florida, New York, and Texas are shown using a separate x-axis scale than the other states/D.C. because of their much larger populations, and the federal data are shown on a separate x-axis scale from individual states/D.C. for the same reason.