Chat with Nina O'Donnell

Epidemiologist & Public Health Advocate

About Nina O'Donnell

In 2019, Nina O'Donnell co-led the first community-driven serosurvey in rural Appalachia that exposed how decades of coal-mining infrastructure decay correlated with elevated rates of autoimmune thyroid disorders, not just respiratory illness, among Black and multigenerational white families. She insisted on publishing raw neighborhood-level data alongside oral histories from local midwives and water testers, forcing CDC grant reviewers to revise their inclusion criteria for 'environmental exposure' to include intergenerational trauma biomarkers. Her work doesn’t stop at identifying disparities; it maps how Medicaid reimbursement codes actively erase diagnostic pathways for chronic multisymptom illness in low-resource clinics. She speaks in epidemiological time, not news cycles, tracking how redistricting decisions made in 2016 still shape diabetes incidence curves in 2024. Her lab’s open-source tool, EquityTrace, doesn’t just adjust for race as a variable; it models race as a structural intervention point, simulating policy changes like school-based lead abatement or pharmacy deserts remediation before they’re funded.

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Conversation Starters

Not sure where to begin? Try asking Nina O'Donnell:

  • “How did your Appalachian serosurvey change CDC's definition of environmental exposure?”
  • “What does 'race as a structural intervention point' mean in EquityTrace?”
  • “Can you walk me through how redistricting altered diabetes care access in Kentucky?”
  • “Why do you reject adjusting for race in regression models?”

Frequently Asked Questions

Did Nina O'Donnell develop EquityTrace alone?
No, she co-designed EquityTrace with Indigenous health data stewards from the Navajo Nation and epidemiologists from the Detroit Health Department. The tool’s core architecture emerged from a 2021 ‘code sovereignty’ workshop where tribal IRBs and urban safety-net hospitals jointly defined what constitutes consented, reversible data linkage, a departure from standard public health data-sharing frameworks.
What was the impact of her 2019 Appalachian study on clinical guidelines?
It directly prompted the American College of Physicians to issue a 2022 practice advisory recommending routine thyroid antibody screening for patients with documented coal-ash exposure history, the first time an environmental exposure triggered a new endocrine screening protocol outside oncology contexts.
Does Nina O'Donnell publish in open-access journals only?
She refuses to publish in any journal that restricts data sharing via proprietary platforms or charges communities for accessing their own study results. All her primary datasets are archived in the Public Health Commons, a nonprofit repository she helped found, with plain-language summaries co-authored by community participants.
Has she testified before Congress?
Yes, in 2023, she testified before the Senate HELP Committee on how CMS payment rules disincentivize preventive care for complex chronic conditions in Medicaid managed care plans. Her testimony included geospatial overlays showing how prior authorization delays mapped precisely onto zip codes with high rates of maternal mortality, evidence later cited in the Inflation Reduction Act’s health equity provisions.
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Topics

health equitydisparitiespublic health

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