Dashboard displays COVID-19 disparities by county
A new dashboard shows the disparities in how COVID-19 affects different income levels, various racial groups, and those with other health conditions.
A new dashboard called the COVID-19 Health Equity Dashboard shines a light on the disparities in how the coronavirus has affected different demographic groups.
Although COVID-19 has swept across the entire country, its burden has not been spread equally. Some communities—particularly those with a large minority population—suffer high infection rates, hospitalizations, and deaths.
“There is no one-size-fits-all approach to combat this pandemic.”
“Our goal was to go beyond describing COVID-19 incidence in communities. We wanted to fill in the gaps about the interplay between the health outcomes and the underlying social determinants and other vulnerabilities, such as diabetes and obesity,” says Shivani A. Patel, assistant professor of global health at Emory University’s Rollins School of Public Health who leads the team that developed the dynamic dashboard.
Drilling down, users can select a county to see how it compares to the rest of the state and to the country in average daily cases and deaths, and in social characteristics, such as percentage of residents who are African American, percentage who live in poverty, percentage who are obese, percentage who have diabetes, and more.
The dashboard allows users to compare counties within the same state, aggregating key metrics that tell a story of a community’s social and economic health. For each state, dashboard users can select a COVID-19 outcome measure—total, average, or per-100,000 cases COVID-19 cases or deaths—and a social determinants measure—household income, population density, percentage African American , among others.
The result is side-by-side color-coded maps that allow users to visualize the relationship between the virus’s health impact and social determinants of health at a county level.
Going forward, Patel and her team plan to parse that data into a sub-county level to see how communities within the country are being impacted differently. In Georgia, for example, Patel is working with the Georgia Department of Public Health to break down COVID-19 cases, hospitalizations, and deaths by demographic categories, such as race, age, and neighborhood.
“We see this as an evolving resource for a variety of audiences, including policymakers, public health practitioners, researchers, and maybe even clinicians,” says Patel.
“This dashboard could help officials assess whether local response to COVID is equitable across communities, and tailor response accordingly. It will provide quick access to data to decide where it’s feasible to open business back up and where it’s not. Where should testing sites be located? When a vaccine becomes available, which populations should be prioritized ?
“There is no one-size-fits-all approach to combat this pandemic,” Patel continues. “To predict how it will unfold and to prepare for the future, it’s critical to understand the underlying risk factors that lead to higher incidence and mortality.”
Source: Emory University
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