Global Health
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Justice, Equity, Diversity, & Inclusion Committee

SHP’s inaugural Health Equity Panel will take place on Friday, October 29, 2021 from 12pm – 1:15pm. The panel is a central event in the launch of the new Department of Health Policy at Stanford and will also serve to introduce our new flagship seminar series on health equity. We will convene the first panel via Zoom, but intend to convert to on-campus events in the future. The panel supports SHP’s mission of interdisciplinary innovation, discovery, and education to improve health policy. Our goal is to convene a diverse group of experts from multiple disciplines and career stages to share recent advances and future paths toward health equity.

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Stanford Health Policy Health Equity Panel Card

Virtual Zoom 

Register in advance for this meeting using this link:
https://stanford.zoom.us/meeting/register/tJwrfuutqjotG92GrEvzvD29LNgpME3ympvx 

After registering, you will receive a confirmation email containing a Zoom link and details about joining the meeting.

Encina Commons,
615 Crothers Way Room 184,
Stanford, CA 94305-6006

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Associate Professor, Health Policy
Senior Fellow, Stanford Institute for Economic Policy Research
Associate Professor, Economics (by courtesy)
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Maya Rossin-Slater is an Associate Professor of Health Policy at Stanford University School of Medicine. She is also a Senior Fellow at the Stanford Institute for Economic and Policy Research (SIEPR), a Research Associate at the National Bureau of Economic Research (NBER) and a Research Fellow at the Institute of Labor Economics (IZA). She received her PhD in Economics from Columbia University in 2013, and was an Assistant Professor of Economics at the University of California, Santa Barbara from 2013 to 2017, prior to coming to Stanford. Rossin-Slater’s research includes work in health, public, and labor economics. She focuses on issues in maternal and child well-being, family structure and behavior, and policies targeting disadvantaged populations in the United States and other developed countries.

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Associate Professor of Medicine Stanford Health Policy

Encina Commons,
615 Crothers Way
Stanford, CA 94305-6006

 

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Professor, Health Policy
Professor, Computer Science (by courtesy)
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Sherri Rose, Ph.D. is a Professor of Health Policy and, by courtesy, of Computer Science at Stanford University, where she is Director of the Health Policy Data Science Lab. Her research is centered on developing and integrating innovative statistical machine learning approaches to improve human health and health equity. Within health policy, Dr. Rose works on ethical algorithms in health care, risk adjustment, chronic kidney disease, and health program evaluation. She has published interdisciplinary projects across varied outlets, including Biometrics, Journal of the American Statistical Association, Journal of Health Economics, Health Affairs, and New England Journal of Medicine. In 2011, Dr. Rose coauthored the first book on machine learning for causal inference, with a sequel text released in 2018.

Dr. Rose has been honored with an NIH Director’s Pioneer Award, NIH Director's New Innovator Award, the ISPOR Bernie J. O'Brien New Investigator Award, and multiple mid-career awards, including the Gertrude M. Cox Award. She is a Fellow of the American Statistical Association (ASA) and received the Mortimer Spiegelman Award, which recognizes the statistician under age 40 who has made the most significant contributions to public health statistics. In 2024, she received both the ASHEcon Willard G. Manning Memorial Award for Best Research in Health Econometrics and the ASA Outstanding Statistical Application Award. She was recently awarded the Open Science Champion Prize by Stanford University. Her research has been featured in The New York Times, USA Today, and The Boston Globe. She was Co-Editor-in-Chief of the journal Biostatistics from 2019-2023.

She received her Ph.D. in Biostatistics from the University of California, Berkeley and a B.S. in Statistics from The George Washington University before completing an NSF Mathematical Sciences Postdoctoral Research Fellowship at Johns Hopkins University. 

Director, Health Policy Data Science Lab
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Stanford Health Policy

Encina Commons, Room 220
615 Crothers Way
Stanford, CA 94305-6006

(650) 721-2486 (650) 723-1919
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Professor, Health Policy
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Jeremy Goldhaber-Fiebert, PhD, is a Professor of Health Policy, a Core Faculty Member at the Center for Health Policy and the Department of Health Policy, and a Faculty Affiliate of the Stanford Center on Longevity and Stanford Center for International Development. His research focuses on complex policy decisions surrounding the prevention and management of increasingly common, chronic diseases and the life course impact of exposure to their risk factors. In the context of both developing and developed countries including the US, India, China, and South Africa, he has examined chronic conditions including type 2 diabetes and cardiovascular diseases, human papillomavirus and cervical cancer, tuberculosis, and hepatitis C and on risk factors including smoking, physical activity, obesity, malnutrition, and other diseases themselves. He combines simulation modeling methods and cost-effectiveness analyses with econometric approaches and behavioral economic studies to address these issues. Dr. Goldhaber-Fiebert graduated magna cum laude from Harvard College in 1997, with an A.B. in the History and Literature of America. After working as a software engineer and consultant, he conducted a year-long public health research program in Costa Rica with his wife in 2001. Winner of the Lee B. Lusted Prize for Outstanding Student Research from the Society for Medical Decision Making in 2006 and in 2008, he completed his PhD in Health Policy concentrating in Decision Science at Harvard University in 2008. He was elected as a Trustee of the Society for Medical Decision Making in 2011.

Past and current research topics:

  1. Type 2 diabetes and cardiovascular risk factors: Randomized and observational studies in Costa Rica examining the impact of community-based lifestyle interventions and the relationship of gender, risk factors, and care utilization.
  2. Cervical cancer: Model-based cost-effectiveness analyses and costing methods studies that examine policy issues relating to cervical cancer screening and human papillomavirus vaccination in countries including the United States, Brazil, India, Kenya, Peru, South Africa, Tanzania, and Thailand.
  3. Measles, haemophilus influenzae type b, and other childhood infectious diseases: Longitudinal regression analyses of country-level data from middle and upper income countries that examine the link between vaccination, sustained reductions in mortality, and evidence of herd immunity.
  4. Patient adherence: Studies in both developing and developed countries of the costs and effectiveness of measures to increase successful adherence. Adherence to cervical cancer screening as well as to disease management programs targeting depression and obesity is examined from both a decision-analytic and a behavioral economics perspective.
  5. Simulation modeling methods: Research examining model calibration and validation, the appropriate representation of uncertainty in projected outcomes, the use of models to examine plausible counterfactuals at the biological and epidemiological level, and the reflection of population and spatial heterogeneity.
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Petra Persson Stanford Department of Economics
Kirsten Bibbins-Domingo UCSF
Samantha Artiga Kaiser Family Foundation
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Colin H. Kahl
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The COVID-19 crisis is the greatest shock to world order since World War II. Millions have been infected and killed. The economic crash caused by the pandemic is the worst since the Great Depression, with the International Monetary Fund estimating that it will cost over $9 trillion of global wealth in the next few years. Many will be left impoverished and hungry. Fragile states will be further hollowed out, creating conditions ripe for conflict and mass displacement. Meanwhile, international institutions and alliances already under strain before the pandemic are teetering, while the United States and China, already at loggerheads before the crisis, are careening toward a new Cold War. China’s secrecy and assertiveness have shattered hopes that it will become a responsible stakeholder in the international order.

Read the rest at Brookings

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Thomas Wright and Colin Kahl detail the COVID-19 pandemic as the greatest shock to world order since World War II, with millions infected and killed, the worst economic crash since the Great Depression, and international institutions and alliances already under strain before the pandemic now teetering while the United States and China are careening toward a new Cold War.

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Stanford health law experts Michelle Mello and David Studdert discuss the ongoing pandemic, proof of vaccination “passports” at the state and federal levels, and a July 19 ruling that Indiana University could require that its students be vaccinated.
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Michelle Mello
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This article originally appeared in Stanford Medicine News.

Last fall, Dean Winslow, MD, saw the numbers everyone else saw: COVID-19 was killing nearly 2,000 Americans and infecting as many as 180,000 more each day. But he responded like few people could.

Winslow worked with state, federal and military leaders to get himself to Washington, D.C., where he now directs the COVID-19 Testing and Diagnostics Working Group, an 82-person, $46-billion interagency effort to track the virus and help steer the U.S. — and the world — out of the pandemic.

“I feel very lucky at this relatively late point in my career to be part of this,” said Winslow, who joined Stanford as a professor of medicine and as a senior fellow at the Freeman Spogli Institute for International Studies in 2013. “I had a wonderful 35 years in the military, and [serving in this role] almost feels like that, with the sense of purpose and camaraderie. And nobody’s shooting rockets at me.”

In November, with infections surging before vaccines were available, he wrote to Anne Schuchat, MD, the principal deputy director of the Centers for Disease Control and Prevention, volunteering to serve. But creating an official job within the federal government would take months.

Winslow couldn’t wait.

Joining the State Guard

Winslow retired from the Air National Guard in 2015, but he came out of retirement in March 2020, joining the California State Guard to help with California’s COVID-19 response and train California Air National Guard members. After the CDC asked him to join the working group, the California State Guard put him on state active duty orders and sent him to the working group.

“When I joined the working group in April, I was probably the oldest officer on active duty in the United States,” the 68-year-old Winslow said.

“I got to wear camouflage pajamas to work again,” he added, using airmen’s vernacular for the uniforms they wear while deployed.

Winslow took a leave from Stanford to join the group and began leading the team July 1. By that point, he had an official civilian job, so he started dressing like the rest of the team that includes scientists from various specialties, data analysts, and acquisitions and logistics experts from the CDC, the Department of Health and Human Services, the National Institutes of Health,  the Food and Drug Administration, and the Department of Defense.

The working group distributes testing resources, facilitates testing nationally, and tracks data from testing sites to know where the virus is infecting new communities and where new cases are occurring. The work has taken on increasing urgency in the past few weeks because of the more transmissible delta variant: Cases are surging again in parts of the country, especially where fewer residents are vaccinated.

“As vaccination continues to slowly increase, the way we’re going to finally eliminate this pandemic, at least from the U.S., is by focusing on these hot spots, particularly among vulnerable populations,” Winslow said.

The group is also working with manufacturers to stockpile diagnostic testing equipment, which was in critically short supply during the height of the pandemic. Part of the longer-term goal is to provide incentives for U.S. manufacturers to keep their operations in the United States.

“We’re looking to make sure that we do a much, much better job in being prepared for the next pandemic,” Winslow said.

If tracking the current pandemic while also preparing for future events seems like an impossibly big job, it’s also a job that requires the rare combination of skills that Winslow has accumulated throughout his career. Even leading personnel with diverse skill sets — all on loan from other agencies — is in his wheelhouse.

“He’s got this ability to connect with everyone involved in this process,” said Julie Parsonnet, MD, professor of medicine and of health research and policy. (She’s also Winslow’s spouse.)

“He’s a welcoming collaborator, and he’s completely nonjudgmental,” she said.

A Different Virus

Winslow graduated from Pennsylvania State University and Jefferson Medical College before starting his internal medicine residency in Wilmington, Delaware. As a third-year resident, he was responsible for inviting speakers to give grand rounds, at which experts present medical cases and discuss treatment options. When a speaker backed out with only two days’ notice, Winslow called an immunologist at the National Institutes of Health who studied necrotizing vasculitis, a disorder that causes inflammation of the blood vessels.

The immunologist, Anthony Fauci, MD, agreed to give the talk if Winslow could pick him up at the Amtrak station and give him a lift back. Winslow accepted the deal, and the two men have been friends ever since. (Inviting Fauci to deliver the Thomas Merigan Lecture at Stanford in 2012, Winslow gave his old friend more notice.)

Winslow and Fauci, who is now chief medical adviser to President Joe Biden, are members of the last generation to train before the AIDS epidemic. The disease shaped both of their careers.

Winslow launched the first HIV clinic in Delaware. He had seen a patient with a compromised immune system and lesions on his brain during his first week in private practice in July 1981. There was no test for the virus at the time, but Winslow saved some of the patients’ blood serum and later learned that the man was, in fact, his first AIDS patient.

When AIDS testing became more readily available, Winslow started seeing more cases in socially vulnerable individuals and persuaded the administration of the Medical Center of Delaware to start the clinic. Later, while working in pharmaceutical-biotech industry, he also helped oversee trials of inhibitors to treat HIV and helped gain FDA clearance for a device that tests resistance to HIV drugs.

For his part, Fauci in 1984 became the director of the National Institute of Allergy and Infectious Diseases, a position he still holds, and oversaw much of the AIDS research for the country.

Winslow joined the Louisiana Air National Guard in 1980, became a flight surgeon, then served as the state air surgeon in the Delaware National Guard. In 2008 he served as the commander at a combat hospital in Baghdad. He deployed four times to Iraq and twice to Afghanistan after 9/11 as a flight surgeon supporting combat operations.

“From the bottom airman on the ladder to the airmen wearing stars on their collars, Dean showed no preferential treatment,” said retired Brig. Gen. Bruce Thompson, who was Winslow’s commanding officer and has known him for 30 years. “Dean oozes compassion.”

When Winslow saw Iraqi children who could not receive the medical care they needed in Iraq, he arranged for them to be flown to the U.S. where hospitals could provide treatment.

In 2015, Winslow and Parsonnet created the Eagle Fund, a charitable trust that helps victims of war around the world.

“His whole career is about stepping up to the plate when asked,” Parsonnet said. “And even when he’s not asked.”

An Honest Answer

Four years ago, Winslow was nominated to become assistant secretary of defense for health affairs. In his senate confirmation hearing, Winslow fielded a question about a mass shooting that had just occurred in Texas. He answered honestly.

“I’d also like to … just say how insane it is that in the United States of America a civilian can go out and buy a semiautomatic weapon like an AR-15,” he said.

The late Sen. John McCain, R-Arizona, interrupted him to say this was not Winslow’s area of expertise, and soon the confirmation was put on indefinite hold. Winslow withdrew his name for consideration and turned his attention to helping victims of gun violence.

He worked with medical students and faculty to launch SAFE, Scrubs Addressing the Firearms Epidemic, a nonprofit organization of health care professionals dedicated to reducing gun violence and protecting the victims. SAFE now has chapters at more than 50 U.S. medical schools.

Winslow expects to stay with the working group for a year, then return to Stanford. The experience is reminiscent of other adventures he’s had in the military, in the clinic and in academia, he said. He’s surrounded by smart and dedicated colleagues, working together for a cause greater than themselves.

“I’ve had so many wonderful experiences in my life,” Winslow said. “I almost feel guilty for it. It’s like I’ve had more fun than any five people should have.”

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Dean L. Winslow

Professor of Medicine
Division of Infectious Disease
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Vaccine Passport
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Legal Look at Proof of Vaccination & Ongoing Fight Against COVID-19

Stanford health law experts Michelle Mello and David Studdert discuss the ongoing pandemic, proof of vaccination “passports” at the state and federal levels, and a July 19 ruling that Indiana University could require that its students be vaccinated.
Legal Look at Proof of Vaccination & Ongoing Fight Against COVID-19
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The Virus and the Vote: Administering the 2020 Election in a Pandemic

A Compendium of Research from the Stanford-MIT Healthy Elections Project
The Virus and the Vote: Administering the 2020 Election in a Pandemic
Encina Hall, Stanford
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Scott Sagan to Co-Lead Center for International Security and Cooperation

Sagan, an expert on nuclear strategy and the ethics of war, will direct the center along with FSI Senior Fellow Rodney Ewing.
Scott Sagan to Co-Lead Center for International Security and Cooperation
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Dr. Anthony Fauci (left) and Dr. Dean Winslow (right).
Julie Parsonnet
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A professor of medicine and former Air Force colonel, Winslow temporarily relocated to Washington to head an interagency group responding to this pandemic and preparing for the next one.

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Dean L. Winslow
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What’s the risk for vaccinated people, specifically when it comes to this new delta variant?

Watch on KRON4

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As the number of COVID infections increase, Dr. Dean Winslow advocates for vaccinations. "Being vaccinated is the best way to protect yourself and your loved ones," he tells KRON4.

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Noa Ronkin
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Diabetes is one of the fastest-growing health challenges of the 21st century. On the frontlines of the epidemic rise in the number of people with diabetes is the Asia-Pacific region. China, in particular, has by far the largest absolute burden of diabetes, with an estimated 116 million adults living with the disease accounting for one-quarter of patients with diabetes globally. By 2045, the number of adults living with diabetes in the country is expected to increase to 147 million, not including the large diaspora community China provides worldwide.

Evaluating the health and economic outcomes of diabetes and its complications is vital for formulating health policy. The existing predictive outcomes models for type 2 diabetes, however, were developed and validated in historical European populations and may not be applicable for East Asian populations with their distinct epidemiology and complications. Additionally, the existing models are typically limited to diabetes alone and ignore the progression from prediabetes to diabetes. The lack of an appropriate simulation model for East Asian individuals and prediabetes is a major gap for the economic evaluation of health interventions.

New collaborative research now addresses these limitations. The research team includes APARC’s Asia Health Policy Program Director Karen Eggleston. The researchers developed and validated a patient-level simulation model for predicting lifetime health outcomes of prediabetes and type 2 diabetes in East Asian populations. They report on their findings in the journal PLOS Medicine


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Modeling Health Outcomes Among East Asian Populations

The chronic progression to diabetes-related complications is apt for computer simulation modeling due to the long-term nature of health outcomes and the time lag for interventions to impact patient outcomes. It is problematic, however, to estimate the impacts of health interventions on East Asian populations with diabetes using existing models, which were developed and validated in European and North American populations with different epidemiology and outcomes.

To fill in this gap, Eggleston and her colleagues set out to develop and validate an outcomes model for the progression of diabetes and related complications in Chinese populations. They compared this new model, called the Chinese Hong Kong Integrated Modeling and Evaluation (CHIME), to two widely used existing models developed and validated in the United Kingdom (known as the United Kingdom Prospective Diabetes Study Outcomes Model 2, or UKPDS-OM2) and in the United States/Canada (called Risk Equations for Complications of type 2 Diabetes, or RECODe). Despite the continuum of risk across the spectrum of risk factor values, these two existing models ignore the progression from prediabetes to diabetes.

The CHIME integrates prediabetes and diabetes into a comprehensive model comprising 13 outcomes. These include mortality, micro- and macrovascular complications, and the development of diabetes. The researchers developed the CHIME simulation model using data from a population-based cohort of 97,628 participants in Hong Kong with type 2 diabetes (43.5%) or prediabetes (56.5%) from 2006 to 2017. Known as the Hong Kong Clinical Management System (CMS), this cohort makes one of the largest Chinese electronic health informatics systems with detailed clinical records. 

The CHIME outperformed the widely used United Kingdom Prospective Diabetes Study Outcomes Model 2 (UKPDS-OM2) and Risk Equations for Complications of type 2 Diabetes (RECODe) models on real-world data.
Karen Eggleston et al

The next step was to externally validate the CHIME model against individual-level data from the China Health and Retirement Longitudinal Study (CHARLS) cohort (2011-2018), a nationally representative longitudinal cohort of middle-aged and elderly Chinese residents age 45 and older. The researchers validated the CHIME model against six outcomes measures recorded in the CHARLS data and an additional 80 endpoints from nine published trials of diabetes patients using simulated cohorts of 100,000 individuals.

Towards Reducing the Disease Burden of Diabetes

The researchers found that the CHIME model outperformed the widely used UKPDS-OM2 and RECODe models on the data used, meaning that the validation of the CHIME model was more accurate for trials with mainly Asian participants than trials with mostly non-Asian participants. The results indicate that the CHIME model is a validated tool for predicting the progression of diabetes and its outcomes, particularly among Chinese and East Asian populations, for which the existing models have been unsuitable.

With the new model, clinicians and health economists can evaluate population health status for prediabetes and diabetes using routinely recorded data and therapies related to the long-term management of diabetes. In particular, the CHIME outcomes model enables them to assess patients' quality of life and measure cost per quality-adjusted life-years over the long-time horizon of chronic disease conditions. The new model thus supports the economic evaluation of policy guidelines and clinical treatment pathways to tackle diabetes and prediabetes, address micro- and macrovascular complications associated with these conditions, and improve life expectancy.

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In China, Better Financial Coverage Increases Health Care Access and Utilization

Research evidence from China’s Tongxiang county by Karen Eggleston and colleagues indicates that enhanced financial coverage for catastrophic medical expenditures increased health care access and expenditures among resident insurance beneficiaries while decreasing out-of-pocket spending as a portion of total spending.
In China, Better Financial Coverage Increases Health Care Access and Utilization
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Robotics and the Future of Work: Lessons from Nursing Homes in Japan

On the Future Health podcast, Karen Eggleston discusses the findings and implications of her collaborative research into the effects of robot adoption on staffing in Japanese nursing homes.
Robotics and the Future of Work: Lessons from Nursing Homes in Japan
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A research team including APARC's Karen Eggleston developed a new simulation model that supports the economic evaluation of policy guidelines and clinical treatment pathways to tackle diabetes and prediabetes among Chinese and East Asian populations, for whom existing models may not be applicable.

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Stanley Perlman, who has been studying coronaviruses for 39 years, got a nasty email June 4: “Dr. Frankenstein just wants more public money and wants to research things he shouldn’t be messing with. THANKS A LOT FOR CORONA LOSER.”

Perlman, a mild-mannered, grandfatherly virologist at the University of Iowa, didn’t know the author of the dyspeptic email and had nothing to do with the emergence of the coronavirus. But he had co-signed a letter to the Lancet in February 2020 saying SARS-CoV-2 was not a bioengineered virus and condemning “conspiracy theories suggesting that COVID-19 does not have a natural origin.”

Read the rest at The Washington Post

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Stanford University microbiologist David A. Relman said the political climate last year made many scientists hesitant to express openness to the lab-leak idea. They did not want to align themselves with a theory closely associated with Trump and his allies, who referred to the coronavirus as “the China virus.”

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This interview by Bruce Goldman was originally published by the Stanford School of Medicine.


On May 13, the journal Science published a letter, signed by 18 scientists, stating that it was still unclear whether the virus that causes COVID-19 emerged naturally or was the result of a laboratory accident, but that neither cause could be ruled out. David Relman, MD, the Thomas C. and Joan M. Merigan Professor and professor of microbiology and immunology, spearheaded the effort.

Relman is no stranger to complicated microbial threat scenarios and illness of unclear origin. He has advised the U.S. government on emerging infectious diseases and potential biological threats. He served as vice chair of a National Academy of Sciences committee reviewing the FBI investigation of letters containing anthrax that were sent in 2001. Recently, he chaired another academy committee that assessed a cluster of poorly explained illnesses in U.S. embassy employees. He is a past president of the Infectious Diseases Society of America.

Stanford Medicine science writer Bruce Goldman asked Relman to explain what remains unknown about the coronavirus’s emergence, what we may learn and what’s at stake.

1. How might SARS-CoV-2, which causes COVID-19, have first infected humans?

Relman: We know very little about its origins. The virus’s closest known relatives were discovered in bats in Yunnan Province, China, yet the first known cases of COVID-19 were detected in Wuhan, about 1,000 miles away.

There are two general scenarios by which this virus could have made the jump to humans. First, the jump, or “spillover,” might have happened directly from an animal to a human, by means of an encounter that took place within, say, a bat-inhabited cave or mine, or closer to human dwellings — say, at an animal market. Or it could have happened indirectly, through a human encounter with some other animal to which the primary host, presumably a bat, had transmitted the virus.

Bats and other potential SARS-CoV-2 hosts are known to be shipped across China, including to Wuhan. But if there were any infected animals near or in Wuhan, they haven’t been publicly identified.

Maybe someone became infected after contact with an infected animal in or near Yunnan, and moved on to Wuhan. But then, because of the high transmissibility of this virus, you’d have expected to see other infected people at or near the site of this initial encounter, whether through similar animal exposure or because of transmission from this person.

2. What’s the other scenario?

Relman: SARS-CoV-2 could have spent some time in a laboratory before encountering humans. We know that some of the largest collections of bat coronaviruses in the world — and a vigorous research program involving the creation of “chimeric” bat coronaviruses by integrating unfamiliar coronavirus genomic sequences into other, known coronaviruses — are located in downtown Wuhan. And we know that laboratory accidents happen everywhere there are laboratories.

Humans are fallible, and laboratory accidents happen — far more often than we care to admit.
David Relman
Senior Fellow, CISAC

All scientists need to acknowledge a simple fact: Humans are fallible, and laboratory accidents happen — far more often than we care to admit. Several years ago, an investigative reporter uncovered evidence of hundreds of lab accidents across the United States involving dangerous, disease-causing microbes in academic institutions and government centers of excellence alike — including the Centers for Disease Control and Prevention and the National Institutes of Health.

SARS-CoV-2 might have been lurking in a sample collected from a bat or other infected animal, brought to a laboratory, perhaps stored in a freezer, then propagated in the laboratory as part of an effort to resurrect and study bat-associated viruses. The materials might have been discarded as a failed experiment. Or SARS-CoV-2 could have been created through commonly used laboratory techniques to study novel viruses, starting with closely related coronaviruses that have not yet been revealed to the public. Either way, SARS-CoV-2 could have easily infected an unsuspecting lab worker and then caused a mild or asymptomatic infection that was carried out of the laboratory.

3. Why is it important to understand SARS-CoV-2’s origins?

Relman: Some argue that we would be best served by focusing on countering the dire impacts of the pandemic and not diverting resources to ascertaining its origins. I agree that addressing the pandemic’s calamitous effects deserves high priority. But it’s possible and important for us to pursue both. Greater clarity about the origins will help guide efforts to prevent a next pandemic. Such prevention efforts would look very different depending on which of these scenarios proves to be the most likely.

Evidence favoring a natural spillover should prompt a wide variety of measures to minimize human contact with high-risk animal hosts. Evidence favoring a laboratory spillover should prompt intensified review and oversight of high-risk laboratory work and should strengthen efforts to improve laboratory safety. Both kinds of risk-mitigation efforts will be resource intensive, so it’s worth knowing which scenario is most likely.

4. What attempts at investigating SARS-CoV-2’s origin have been made so far, with what outcomes?

Relman: There’s a glaring paucity of data. The SARS-CoV-2 genome sequence, and those of a handful of not-so-closely-related bat coronaviruses, have been analyzed ad nauseam. But the near ancestors of SARS-CoV-2 remain missing in action. Absent that knowledge, it’s impossible to discern the origins of this virus from its genome sequence alone. SARS-CoV-2 hasn’t been reliably detected anywhere prior to the first reported cases of disease in humans in Wuhan at the end of 2019. The whole enterprise has been made even more difficult by the Chinese national authorities’ efforts to control and limit the release of public health records and data pertaining to laboratory research on coronaviruses.

In mid-2020, the World Health Organization organized an investigation into the origins of COVID-19, resulting in a fact-finding trip to Wuhan in January 2021. But the terms of reference laying out the purposes and structure of the visit made no mention of a possible laboratory-based scenario. Each investigating team member had to be individually approved by the Chinese government. And much of the data the investigators got to see was selected prior to the visit and aggregated and presented to the team by their hosts.

The recently released final report from the WHO concluded — despite the absence of dispositive evidence for either scenario — that a natural origin was “likely to very likely” and a laboratory accident “extremely unlikely.” The report dedicated only 4 of its 313 pages to the possibility of a laboratory scenario, much of it under a header entitled “conspiracy theories.” Multiple statements by one of the investigators lambasted any discussion of a laboratory origin as the work of dark conspiracy theorists. (Notably, that investigator — the only American selected to be on the team — has a pronounced conflict of interest.)

Given all this, it’s tough to give this WHO report much credibility. Its lack of objectivity and its failure to follow basic principles of scientific investigation are troubling. Fortunately, WHO’s director-general recognizes some of the shortcomings of the WHO effort and has called for a more robust investigation, as have the governments of the United States, 13 other countries and the European Union.

5. What’s key to an effective investigation of the virus’s origins?

Relman: A credible investigation should address all plausible scenarios in a deliberate manner, involve a wide variety of expertise and disciplines and follow the evidence. In order to critically evaluate other scientists’ conclusions, we must demand their original primary data and the exact methods they used — regardless of how we feel about the topic or about those whose conclusions we seek to assess. Prior assumptions or beliefs, in the absence of supporting evidence, must be set aside.

Investigators should not have any significant conflicts of interest in the outcome of the investigation, such as standing to gain or lose anything of value should the evidence point to any particular scenario.

There are myriad possible sources of valuable data and information, some of them still preserved and protected, that could make greater clarity about the origins feasible. For all of these forms of data and information, one needs proof of place and time of origin, and proof of provenance.

To understand the place and time of the first human cases, we need original records from clinical care facilities and public health institutions as well as archived clinical laboratory data and leftover clinical samples on which new analyses can be performed. One might expect to find samples of wildlife, records of animal die-offs and supply-chain documents.

Efforts to explore possible laboratory origins will require that all laboratories known to be working on coronaviruses, or collecting relevant animal or clinical samples, provide original records of experimental work, internal communications, all forms of data — especially all genetic-sequence data — and all viruses, both natural and recombinant. One might expect to find archived sequence databases and laboratory records.

Needless to say, the politicized nature of the origins issue will make a proper investigation very difficult to pull off. But this doesn’t mean that we shouldn’t try our best. Scientists are inquisitive, capable, clever, determined when motivated, and inclined to share their insights and findings. This should not be a finger-pointing exercise, nor an indictment of one country or an abdication of the important mission to discover biological threats in nature before they cause harm. Scientists are also committed to the pursuit of truth and knowledge. If we have the will, we can and will learn much more about where and how this pandemic arose.  

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David Relman

Senior Fellow at the Freeman Spogli Institute for International Studies
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Bat-borne Nipah virus could help explain COVID-19

Researchers have long known that the number of human infections from the bat-borne Nipah virus fluctuates from year to year. A new study provides insights into the reasons why. Stanford epidemiologist Stephen Luby, MD, discussed the findings and how they relate to COVID-19.
Bat-borne Nipah virus could help explain COVID-19
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Commentary

To stop the next pandemic, we need to unravel the origins of COVID-19

We find ourselves ten months into one of the most catastrophic global health events of our lifetime and we still do not know how it began. Despite the critical importance of this question, efforts to investigate the origins have become mired in politics, poorly supported assumptions and assertions, and incomplete information.
To stop the next pandemic, we need to unravel the origins of COVID-19
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Q&As

Viral lessons: What a little-known virus could teach us about COVID-19

Stanford epidemiologist Stephen Luby discusses surprising results of a recent study on Nipah virus, a disease with no vaccine and a mortality rate of up to 70 percent.
Viral lessons: What a little-known virus could teach us about COVID-19
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Microbiologist David Relman discusses the importance of understanding how the coronavirus emerged.

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