Evidence for probable aerosol transmission of SARS-CoV-2 in a poorly ventilated restaurant

Author:

Li Yuguo,Qian Hua,Hang Jian,Chen Xuguang,Hong Ling,Liang Peng,Li Jiansen,Xiao Shenglan,Wei Jianjian,Liu Li,Kang Min

Abstract

AbstractBackgroundThe role of aerosols in the transmission of SARS-CoV-2 remains debated. We analysed an outbreak involving three non-associated families in Restaurant X in Guangzhou, China, and assessed the possibility of aerosol transmission of SARS-CoV-2 and characterize the associated environmental conditions.MethodsWe collected epidemiological data, obtained a video record and a patron seating-arrangement from the restaurant, and measured the dispersion of a warm tracer gas as a surrogate for exhaled droplets from the suspected index patient. Computer simulations were performed to simulate the spread of fine exhaled droplets. We compared the in-room location of subsequently infected cases and spread of the simulated virus-laden aerosol tracer. The ventilation rate was measured using the tracer decay method.ResultsThree families (A, B, C), 10 members of which were subsequently found to have been infected with SARS-CoV-2 at this time, or previously, ate lunch at Restaurant X on Chinese New Year’s Eve (January 24, 2020) at three neighboring tables. Subsequently, three members of family B and two members of family C became infected with SARS-CoV-2, whereas none of the waiters or 68 patrons at the remaining 15 tables became infected. During this occasion, the ventilation rate was 0.75–1.04 L/s per person. No close contact or fomite contact was observed, aside from back-to-back sitting by some patrons. Our results show that the infection distribution is consistent with a spread pattern representative of exhaled virus-laden aerosols.ConclusionsAerosol transmission of SARS-CoV-2 due to poor ventilation may explain the community spread of COVID-19.

Publisher

Cold Spring Harbor Laboratory

Reference18 articles.

1. World Health Organization (WHO) housing and health guidelines. (2018). Geneva, Switzerland: WHO, 2018. (https://www.who.int/sustainable-development/publications/housing-health-guidelines/en/.)

2. Outbreak of 2009 Pandemic Influenza A (H1N1) at a New York City School

3. Centers for Disease Control and Prevention (CDC). How 2019-nCoV spreads. Washington DC, USA: U.S. Department of Health & Human Services, 2020. (https://www.cdc.gov/coronavirus/2019-ncov/about/transmission.html.)

4. Li X , Gao F. Public Prevention Guidelines of Infection due to the Novel Coronavirus Pneumonia (In Chinese, 新型冠状病毒感染的肺炎公众防护指南). Beijing, China: People’s Medical Publishing House, 2020:page 9.

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