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Outlines of a probabilistic evaluation of possible SARS-CoV-2 origins

Authors: Demaneuf, Gilles; De Maistre, Rodolphe;

Outlines of a probabilistic evaluation of possible SARS-CoV-2 origins

Abstract

We explore the relative probabilities of a lab-related accident against a non-lab-related zoonotic event being at the root of the current COVID-19 pandemic. We show that, based on present knowledge, the relative probability of a lab-related accident against a non-lab related zoonotic event is not negligible across a wide range of defensible input probabilities. For instance, under a reference set of input probabilities, the relative probabilities are at least 55% for a lab-related event against 45% at most for a non-lab-related zoonotic event. Even under a particularly conservative set of assumptions the relative probability of the lab-related accident is still 6% (to 94% for the non-lab related zoonotic event). Through a review of the Chinese specialised literature, we further show that our underlying estimate for the probability of lab-acquired infection is consistent with risk assessments from Chinese authorities and specialists. As part of this study, we list 112 individual BSL-3 labs in China, across 62 lab complexes. We then review a list of common probabilistic misunderstandings that are often associated with discussions about COVID-19 origins and conclude by discussing how such a probabilistic treatment can also offer a way to properly guide an investigation into the causes of the pandemic while being able to embrace different estimates of the underlying probabilities.

This paper comes with a spreadsheet listing 112 individual BSL-3 labs in China across 62 lab-complexes.

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Keywords

bayesian statistics, Wuhan, SARS-CoV-2, risk assessment, biosafety, COVID-19, risk disclosure, biosafety and biosecurity issues, BSL-3, Coronavirus, accident analysis, laboratory escape, bayesian probabilities, laboratory acquired infection (LAI)

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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