Details

Autor(en) / Beteiligte

• Goyal, Ashish
• Reeves, Daniel B
• Cardozo-Ojeda, E Fabian
• Schiffer, Joshua T
• Mayer, Bryan T

Titel

Viral load and contact heterogeneity predict SARS-CoV-2 transmission and super-spreading events

Ist Teil von

• eLife, 2021-02, Vol.10

Ort / Verlag

England: eLife Sciences Publications Ltd

Erscheinungsjahr

2021

Link zum Volltext

Quelle

EZB Free E-Journals

Beschreibungen/Notizen

• SARS-CoV-2 is difficult to contain because many transmissions occur during pre-symptomatic infection. Unlike influenza, most SARS-CoV-2-infected people do not transmit while a small percentage infect large numbers of people. We designed mathematical models which link observed viral loads with epidemiologic features of each virus, including distribution of transmissions attributed to each infected person and duration between symptom onset in the transmitter and secondarily infected person. We identify that people infected with SARS-CoV-2 or influenza can be highly contagious for less than 1 day, congruent with peak viral load. SARS-CoV-2 super-spreader events occur when an infected person is shedding at a very high viral load and has a high number of exposed contacts. The higher predisposition of SARS-CoV-2 toward super-spreading events cannot be attributed to additional weeks of shedding relative to influenza. Rather, a person infected with SARS-CoV-2 exposes more people within equivalent physical contact networks, likely due to aerosolization.