Find Resources

This episode from the podcast 99 Percent Invisible reflects on how the COVID-19 pandemic exposed the American public to a long-standing problem: the disjointed nature of the U.S. health system. Because state and local health departments largely operate independently and use their own data collection and analysis tools, health systems across the country lack standardized data definitions and systems. These inconsistencies made it nearly impossible to collect and analyze comprehensive, standardized data on COVID-19 cases, deaths, and vaccines administered amid the pandemic. Health experts featured on this episode believe that the pandemic made the need for an overhaul of America’s informatics system very apparent. When rebuilding this system, it’s important to focus on remedying existing inequalities in data collection and classification that in some cases render the health status of certain populations – think Native American communities and other communities of color – completely invisible in the data. By virtue of being small populations, it can be difficult for health departments to collect sufficient and/or statistically significant data on minority communities. Another issue discussed in this episode is the use of broad racial categories like “other,” “multiple races,” or even “Asian American,” which, if not disaggregated, obscures the health status of diverse populations who are grouped under the same category. Without comprehensive and inclusive health data, it’s difficult to identify disparities and implement policies and programming that promote social mobility and health equity.

Community health workers, sometimes called health navigators, played a key role in the public health response to COVID-19, especially among communities of color. This report describes how the community health workforce can be developed by public health departments and shares findings from a community health worker training program focused on vaccination, prevention, and contact tracing.

This review of state data collection and reporting practices during the COVID-19 pandemic found inconsistencies and gaps in data collected by race and ethnicity. Improved standardization across the U.S.–which may come in the form of a federally-operated centralized database–would address some of the concerns in data representation of all Americans.

This brief lists interventions to support state public health efforts to address rural disparities and racial discrimination. It emphasizes the importance of localized data on social determinants of health and improving systemic and structural underpinnings of racial disparities. Suggested interventions address data collection and workforce issues, including representativeness and paid family leave.

Southeast Asian Coalition of Central Massachusetts, also known as SEACMA, aims to support the Southeast Asian population in Central Massachusetts. SEACMA is a trusted local partner and hub for refugees, underserved individuals, and residents of all backgrounds. SEACMA actively provided outreach, education, and prevention to their community during the COVID-19 pandemic and center community engagement in building solutions.

Practice involves using “get out the vote” (GOTV) outreach strategies, conventionally used in political campaigns, along with mobile pop-up vaccine clinics, to encourage vaccination among marginalized communities.

This study assessed vaccine hesitancy in the United States by looking at Census Bureau’s Household Pulse Survey data. The study looked at race and ethnicity for individuals who have received at least one COVID-19 vaccine dose by June 2021, but also looked at other socioeconomic factors such as access to healthy food, insurance status, and state-level political differences. The results found that while initial race/ethnicity analyses shows Black adults are more likely to not get vaccinated for COVID-19 than White adults, once other social factors were included, these differences were no longer significant. Additionally, insurance status and food insufficiency were not seen as significantly associated with vaccination hesitancy, but political differences does create an impact in overall state vaccination rates.

This article examines a cohort study of children in England to determine a possible association between COVID-19 testing rates, COVID-19 mortality rates, and race. Results found that Asian and Black children experienced race-specific disparities when compared to white children, with white children receiving more COVID-19 testing, but Black and Asian children experiencing worse outcomes, including hospitalization, ICU admission, and death.

This study looks at the perceptions, challenges, barriers, and experiences of undocumented immigrants in the U.S. The study used a snowball sampling of 20 undocumented Asian and Latinx men and women and asked them a series of questions about access to health care and their experience during the COVID-19 pandemic. The results found significant barriers in language comprehension, mistrust of public systems, and socioeconomic factors such as employers with little to no sick leave for those affected by COVID-19.

This article details the work of the Asian Health Services (AHS), a Federally Qualified Health Center located in Alameda County, California. In May 2020, AHS sought to document the experiences and needs of the Asian American community they serve through a cross-sectional survey. The surveys were available in English, Cantonese, Mandarin, Vietnamese, traditional Chinese, and Korean. Results display the diverse needs of the Asian American community, including issues with access to testing, anti-Asian discrimination, and language barriers offer several barriers to this community. Survey questions included in the article.