U.S. County-Level Characteristics to Inform Equitable COVID-19 Response

How biological, demographic, and socioeconomic factors are likely to determine an individual’s susceptibility to COVID-19.

  • iconInfection and infection control
  • iconGlobal impact and response

Faculty

Caroline Buckee, Satchit Balsari

Summary

The spread of Coronavirus Disease 2019 (COVID-19) across the United States confirms that not all Americans are equally at risk of infection, severe disease, or mortality. A range of intersecting biological, demographic, and socioeconomic factors are likely to determine an individual’s susceptibility to COVID-19. These factors vary significantly across counties in the United States and often reflect the structural inequities in our society. Recognizing this vast intercounty variation in risks will be critical to mounting an adequate response strategy.

Using publicly available county-specific data, Caroline Buckee and Satchit Balsari identified key biological, demographic, and socioeconomic factors influencing susceptibility to COVID-19, guided by international experiences and consideration of epidemiological parameters of importance. They created bivariate county-level maps to summarize examples of key relationships across these categories, grouping age and poverty; comorbidities and lack of health insurance; proximity, density, and bed capacity; and race and ethnicity and premature death. They have also made available an interactive online tool that allows public health officials to query risk factors most relevant to their local context. Their data demonstrate significant intercounty variation in key epidemiological risk factors, with a clustering of counties in certain states, which will result in an increased demand on their public health system. While the East and West Coast cities are particularly vulnerable owing to their densities (and travel routes), a large number of counties in the Southeastern states have a high proportion of at-risk populations, with high levels of poverty, comorbidities, and premature death at baseline, and low levels of health insurance coverage. The list of variables they have examined is by no means comprehensive, and several of them are interrelated and magnify underlying vulnerabilities. The online tool allows readers to explore additional combinations of risk factors, set categorical thresholds for each covariate, and filter counties above different population thresholds.

COVID-19 responses and decision making in the United States remain decentralized. Both the federal and state governments will benefit from recognizing high intrastate, intercounty variation in population risks and response capacity. Many of the factors that are likely to exacerbate the burden of COVID-19 and the demand on health care systems are the compounded result of long-standing structural inequalities in U.S. society. Strategies to protect those in the most vulnerable counties will require urgent measures to better support communities’ attempts at social distancing and to accelerate cooperation across jurisdictions to supply personnel and equipment to counties that will experience high demand.

Full paper:
https://www.medrxiv.org/content/10.1101/2020.04.08.20058248v1.full.pdf