Has Pro-Trump Bias Led Some US Counties to Lowball COVID-19 Deaths?

Has Pro-Trump Bias Led Some US Counties to Lowball COVID-19 Deaths?
politics and health

Has Pro-Trump Bias Led Some US Counties to Lowball COVID-19 Deaths?

The largest undercounts are in counties that supported former president Donald Trump, who admitted he deliberately downplayed the coronavirus.

February 24, 2021
Twitter Facebook

A version of this article originally appeared in BU Today.

The official tally of COVID-19 American deaths stands at roughly half a million. But researchers are convinced that the actual toll is even grimmer, based on their analysis of “excess deaths.” That’s the number of people who died last year over and above what would be expected—given death numbers in previous years—but which wasn’t captured in the official COVID death figures

A study being prepared by researchers at the School of Public Health and their colleagues finds that the largest undercounts are in counties that supported former president Donald Trump, who admitted he deliberately downplayed the virus. The finding could reflect political bias that leads elected county coroners to lowball COVID deaths, says lead researcher Andrew Stokes, assistant professor of global health. Inadequate COVID testing resources also may play a role in the underreporting, he says.

Stokes discussed the findings with BU Today.


How did you determine support for Trump?

Andrew Stokes: We assessed county-level support for Donald Trump in the 2016 and 2020 presidential elections. Previous work has shown that support for Donald Trump in a county was associated with less physical distancing and higher rates of COVID-19 infection and fatality. Here [in this study], we hypothesized that higher county-level support for Trump is associated with a greater degree of underreporting of COVID-19 deaths.

Is it your contention that coroners downplay the severity and preponderance of COVID based on their support for Trump, who downplayed the virus?

This study finds an association between the level of support for Donald Trump in a county and the degree of underestimation of COVID-19 deaths. There could be numerous explanations for this finding, which will require additional research to tease out.

One explanation could relate to how deaths are certified in the United States. We find that counties relying on local coroners experienced more underreporting than counties using medical examiners. Unlike medical examiners, coroners are often elected to their position, and may thus be more prone to political bias in determining the cause of death. We also found higher levels of underreporting in areas with the least mask-wearing and least physical distancing, which could indicate a pattern of COVID-19 denial that reduces the probability of COVID-19 testing and valid cause-of-death assignment. Third, underestimation was highest in areas with fewer hospitals and more deaths occurring at home. In these areas, testing infrastructure is more limited, health systems are more easily overwhelmed, and coroners play a larger role in death certification.

Shouldn’t scientific, professional judgment guide their determination of death’s causes, rather than their political leanings?

An important question for future research is whether the degree of undercounting differs by place of death. In this analysis, we found that states that had more deaths occurring at home experienced more undercounting. For deaths occurring at home, political attitudes could influence the behavior of a coroner, what information a family reports, and the likelihood that a COVID-19 test occurs.

Can we be sure it’s pro-Trump leanings responsible for the undercount? Don’t low-income Democratic-leaning counties have similarly large undercounts, and isn’t the United States behind on testing?

Yes, we found that testing is an important factor in explaining the undercount. Reduced access to testing in areas with Trump support, and reduced use of testing due to COVID-19 denial, could both be mechanisms explaining the higher degree of undercounting in areas with high Trump support.

What, if anything, can be done about this undercounting problem?

The COVID-19 pandemic has highlighted the importance of having an accurate, timely vital statistics system. Prior reporting has highlighted the systemic issues within the death investigation system in the United States. Two overarching issues are underfunding and lack of uniformity.

Dielle Lundberg (SPH’19), a research fellow in global health, and Jacob Bor, an assistant professor of global health, are study coresearchers. The University of Pennsylvania and the Robert Wood Johnson Foundation collaborated on the study, which the foundation funded.

Explore Related Topics:

  • Share this story
  • 1 Comments Add


Has Pro-Trump Bias Led Some US Counties to Lowball COVID-19 Deaths?

  • Rich Barlow

    BU Today / Bostonia Senior Writer

    Rich Barlow is a senior writer at BU Today and Bostonia magazine. Perhaps the only native of Trenton, N.J., who will volunteer his birthplace without police interrogation, he graduated from Dartmouth College, spent 20 years as a small-town newspaper reporter, and is a former Boston Globe religion columnist, book reviewer, and occasional op-ed contributor. Profile

Comments & Discussion

Boston University moderates comments to facilitate an informed, substantive, civil conversation. Abusive, profane, self-promotional, misleading, incoherent or off-topic comments will be rejected. Moderators are staffed during regular business hours (EST) and can only accept comments written in English. Statistics or facts must include a citation or a link to the citation.

There is 1 comment on Has Pro-Trump Bias Led Some US Counties to Lowball COVID-19 Deaths?

  1. Fascinating study, and it’s a real phenomenon. I know of a Covid-denying Trump supporter in a Trump supporting county of Colorado who plans to sue his local hospital for assigning Covid-19 as the cause of death for his relative. I imagine the threat of legal action could dissuade some hospital staff from giving Covid-19 as a cause of death

Post a comment.

Your email address will not be published. Required fields are marked *