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The coronavirus pandemic (COVID) has been an exceptional test of currentscientific evidence that inform and shape policy. Many US states, cities, andcounties implemented public orders for mask use on the notion that thisintervention would delay and flatten the epidemic peak and largely benefitpublic health outcomes. P-value plotting was used to evaluate statisticalreproducibility of meta-analysis research claims of a benefit for medical(surgical) mask use in community settings to prevent COVID infection. Eightstudies (seven meta-analyses, one systematic review) published between 1January 2020 and 7 December 2022 were evaluated. Base studies were randomizedcontrol trials with outcomes of medical diagnosis or laboratory-confirmeddiagnosis of viral (Influenza or COVID) illness. Self-reported viral illnessoutcomes were excluded because of awareness bias. No evidence was observed fora medical mask use benefit to prevent viral infections in six p-value plots(five meta-analyses and one systematic review). Research claims of no benefitin three meta-analyses and the systematic review were reproduced in p-valueplots. Research claims of a benefit in two meta-analyses were not reproduced inp-value plots. Insufficient data were available to construct p-value plots fortwo meta-analyses because of overreliance on self-reported outcomes. Thesefindings suggest a benefit for medical mask use in community settings toprevent viral, including COVID infection, is unproven.

Statistical reproducibility of meta-analysis research claims for medical mask use in community settings to prevent COVID infection