2021
DOI: 10.1093/cid/ciab691
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Viral Load of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in Respiratory Aerosols Emitted by Patients With Coronavirus Disease 2019 (COVID-19) While Breathing, Talking, and Singing

Abstract: Background Multiple SARS-CoV-2 superspreading events suggest that aerosols play an important role in driving the COVID-19 pandemic. To better understand how airborne SARS-CoV-2 transmission occurs, we sought to determine viral loads within coarse (>5μm) and fine (≤5μm) respiratory aerosols produced when breathing, talking, and singing. Methods Using a G-II exhaled breath collector, we measured viral RNA in coarse and f… Show more

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Cited by 174 publications
(131 citation statements)
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“…Coleman et al . also show that the variability in the amount of genomic material measured in expirated aerosols is consistent with the variability of viral loads determined using swabs and saliva [43].…”
Section: Discussionsupporting
confidence: 55%
See 1 more Smart Citation
“…Coleman et al . also show that the variability in the amount of genomic material measured in expirated aerosols is consistent with the variability of viral loads determined using swabs and saliva [43].…”
Section: Discussionsupporting
confidence: 55%
“…Coleman et al . [43] show that SARS-CoV-2 genomic material is detectable in expirated aerosols from some COVID-19 patients, but not all of them because 41% exhaled no detectable genomic material. Singing and talking generally produce more genomic material than breathing, but there is large variability between patients.…”
Section: Discussionmentioning
confidence: 99%
“…However, generalizing conclusions from age comparisons should be drawn very carefully, recognizing the high person-to-person variability in emitted particles and viral loads in the case of an infection [ 14 ]. It should be emphasized that we determined data for individuals not infected with SARS-CoV-2.…”
Section: Discussionmentioning
confidence: 99%
“…To assess the accuracy of the model, the viral emission rate vR total was benchmarked against experimental data and tuned to the datasets for SARS-CoV-2 [64,82,83] (Supplementary Fig. S.9), with a particle concentration of 0.06 and 0.2 cm -3 for the B and L modes, respectively.…”
Section: S U B M I T T E D F O R R E V I E W 4 Resultsmentioning
confidence: 99%
“…6,7 in [33]). As for the virological aspects, the published data available is scarce [64,82,83], although the results of the model were still compared to studies using an human source bioaerosol sampler capable of reproducing the wanted measurements (Supplementary Fig. S.9).…”
Section: Discussionmentioning
confidence: 99%