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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.  

relman

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.
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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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“Microbes have the ability to evolve and try lots of genetic variations on a theme very quickly,” David Relman, MD, professor of microbiology at Stanford University and member of the standing committee on Emerging Infectious Diseases and 21st Century Threats at the National Academies of Science, Engineering and Medicine, said during a recent episode of Healthcare Strategies.

Healthcare Strategies · Assessing the Value of Using Genomic Data To Guide Population Health

 

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Genomic data could benefit population health efforts during the COVID-19 pandemic, but the US has to overcome several barriers before it can fully leverage this information.

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Pascal Geldsetzer, PhD 
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Title:  Regression Discontinuity in Electronic Health Record Data

Abstract: Regression discontinuity in electronic health record (EHR) data combines the main advantage of randomized controlled trials (causal inference without needing to adjust for confounders) with the large size, low cost, and representativeness of observational studies in routinely collected medical data. Regression discontinuity could be an important tool to help clinical medicine move away from a “one size fits all” approach because, along with the increasing size and availability of EHR data, it would allow for a rigorous examination of how treatment effects vary across highly granular patient subgroups. In addition, given the broad range of health outcomes recorded in EHR data, this design could be used to systematically test for a wide range of unexpected beneficial and adverse health effects of different treatments. I will talk about the broad motivation for this research and discuss examples from some of our ongoing work in this area. If there is time, I will also discuss some of my ongoing research on improving healthcare services for chronic conditions in low- and middle-income country settings. 

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Alyce Adams is a Professor of Health Policy and of Epidemiology and Population Health in the Stanford School of Medicine; Associate Chair, Partnership and Community Engagement for the Department of Health Policy; and Associate Director for Health Equity and Community Engagement in the Stanford Cancer Institute. Focusing on racial and socioeconomic disparities in chronic disease treatment outcomes, Dr. Adams' interdisciplinary research seeks to evaluate the impact of changes in drug coverage policy on access to essential medications, understand the drivers of disparities in treatment adherence among insured populations, and test strategies for maximizing the benefits of treatment outcomes while minimizing harms through informed decision-making. Prior to joining Stanford School of Medicine, Dr. Adams was Associate Director for Health Care Delivery and Policy and a Research Scientist at the Kaiser Permanente Division of Research, as well as a Professor at the Bernard J. Tyson Kaiser Permanente School of Medicine. From 2000 to 2008, she was an Assistant Professor in the Department of Population Medicine (formerly Ambulatory Care and Prevention) at Harvard Medical School and Harvard Pilgrim Health care. She received her PhD in Health Policy and an MPP in Social Policy from Harvard University. She is Vice Chair of the Board of Directors for AcademyHealth and a former recipient of the John M. Eisenberg Excellence in Mentoring Award from Agency for Healthcare Research and Quality and an invited lecturer on racial disparities in health care in the 2014/2015 National Institute of Mental Health Director’s Innovation Speaker Series.

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Originally for NPR

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Coronavirus variants are spreading in the United States, threatening to spark yet a new surge. Is there a good defense? NPR health correspondent Rob Stein talks to CISAC Senior Fellow David Relman.

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Dr. David Relman, an esteemed microbiologist, kept returning to the same conclusion as he fielded questions as a guest at Rep. Jerry McNerney’s virtual town hall.

No matter what your fears or concerns, getting a COVID-19 vaccine, Relman said, is far better and safer than getting the virus.

“Were you to come visit any of us in a hospital setting and see what it looks like to be critically ill with COVID, you would be doing everything humanly possible to avoid it,” Relman said at Thursday’s town hall. “It is a miserable, miserable disease. You do not want it.”

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Dr. David Relman, an esteemed microbiologist, kept returning to the same conclusion as he fielded questions as a guest at Rep. Jerry McNerney’s virtual town hall. No matter what your fears or concerns, getting a vaccine, Relman said, is far better and safer than getting the virus.

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Title: Research in Progress: Doug Owens - Development of the New USPSTF Guidelines on Screening for Lung Cancer and Colorectal Cancer

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Discuss the development of the two new draft guidelines from the U.S. Preventive Services Task Force.  Screening for lung cancer and colorectal cancer are two of the most complex and important cancer screening guidelines in the USPSTF portfolio.  Describing the methods the USPSTF uses, including the evidence reviews and modeling that helped us create these new recommendations.

 

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Douglas K. Owens is the Henry J. Kaiser, Jr. Professor, Chair of the Department of Health Policy in the Stanford University School of Medicine and Director of the Center for Health Policy (CHP) in the Freeman Spogli Institute for International Studies (FSI). He is a general internist, a Professor of Management Science and Engineering (by courtesy), at Stanford University; and a Senior Fellow at the Freeman Spogli Institute for International Studies.

Owens' research includes the application of decision theory to clinical and health policy problems; clinical decision making; methods for developing clinical guidelines; decision support; comparative effectiveness; modeling substance use and infectious diseases; cardiovascular disease; patient-centered decision making; assessing the value of health care services, including cost-effectiveness analysis; quality of care; and evidence synthesis.

Owens chaired the Clinical Guidelines Committee of the American College of Physicians for four years. The guideline committee develops clinical guidelines that are used widely and are published regularly in the Annals of Internal Medicine. He was a member and then Vice-Chair and Chair of the U.S. Preventive Services Task Force, which develops national guidelines on preventive care, including guidelines for screening for breast, colorectal, prostate, and lung cancer. He has helped lead the development of more than 50 national guidelines on treatment and prevention. He also was a member of the Second Panel on Cost Effectiveness in Health and Medicine, which developed guidelines for the conduct of cost-effectiveness analyses.

Owens also directed the Stanford-UCSF Evidence-based Practice Center. He co-directs the Stanford Health Services Research Program, and previously directed the VA Physician Fellowship in Health Services Research, and the VA Postdoctoral Informatics Fellowship Program.

Owens received a BS and an MS from Stanford University, and an MD from the University of California-San Francisco. He completed a residency in internal medicine at the University of Pennsylvania and a fellowship in health research and policy at Stanford. Owens is a past-President of the Society for Medical Decision Making. He received the VA Undersecretary’s Award for Outstanding Achievement in Health Services Research, and the Eisenberg Award for Leadership in Medical Decision Making from the Society for Medical Decision Making. Owens also received a MERIT award from the National Institutes on Drug Abuse to study HIV, HCV, and the opioid epidemic. He was elected to the American Society for Clinical Investigation (ASCI) and the Association of American Physicians (AAP.)

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Researchers have long known that the number of human infections from the bat-borne Nipah virus fluctuates from year to year. Now, a new study provides insights into the reasons why.

In a Stanford News Q&A, Stanford epidemiologist Stephen Luby, MD, discussed the findings and how they relate to SARS-CoV-2, the virus that causes COVID-19.

Read the rest at Scope

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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.

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With vaccines against SARS-CoV-2, the virus that causes Covid-19, on the near-term horizon, U.S. policymakers are focusing on how to ensure that Americans get vaccinated. This challenge has been compounded by reports that White House officials are exerting undue influence over the agencies that would ordinarily lead such efforts, the Food and Drug Administration and the Centers for Disease Control and Prevention.

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Water sensitive cities show how holistic approaches can counter the health and wellbeing problems associated with urban dryness. About 1.6 billion people live in countries with water scarcity, and this number is projected to double in two decades.

Read the rest at  BMJ

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Water sensitive cities show how holistic approaches can counter the health and wellbeing problems associated with urban dryness. About 1.6 billion people live in countries with water scarcity, and this number is projected to double in two decades.

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