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There is a need to better understand the contribution of asymptomatic SARS-CoV-2 infections (those with no symptoms at all throughout the infection) in driving the current pandemic. However, there are caveats that in our opinion are pertinent when interpreting the reported findings of this review, including the lack of a clear definition of asymptomatic infection and selective inclusion of cross-sectional studies. In addition, there is a problematic interpretation of a narrative review containing a dearth of poor-quality evidence resulting in an overestimate of asymptomatic infections, which might misinform policy response.

The COVID-19 pandemic has underscored the critical need for robust scientific evidence to support policy decisions, such as around the effectiveness of various social distancing measures and the safety of drug therapies. Yet this need arises at a time of growing misinformation and poorly vetted facts repeated by influential sources. To address this gap, a group of scientists led by Kai Ruggeri, a professor at Columbia University Mailman School of Public Health, and James Green, chief scientist at NASA, has introduced a new framework to help set standards for the quality of evidence used in policymaking.