| Literature DB >> 32825303 |
Francesco Chirico1,2, Angelo Sacco3, Nicola Luigi Bragazzi4, Nicola Magnavita1,5.
Abstract
The airborne transmission of SARS-CoV-2 is still debated. The aim of this rapid review is to evaluate the COVID-19 risk associated with the presence of air-conditioning systems. Original studies (both observational and experimental researches) written in English and with no limit on time, on the airborne transmission of SARS-CoV, MERS-CoV, and SARS-CoV-2 coronaviruses that were associated with outbreaks, were included. Searches were made on PubMed/MEDLINE, PubMed Central (PMC), Google Scholar databases, and medRxiv. A snowball strategy was adopted to extend the search. Fourteen studies reporting outbreaks of coronavirus infection associated with the air-conditioning systems were included. All studies were carried out in the Far East. In six out the seven studies on SARS, the role of Heating, Ventilation, and Air Conditioning (HVAC) in the outbreak was indirectly proven by the spatial and temporal pattern of cases, or by airflow-dynamics models. In one report on MERS, the contamination of HVAC by viral particles was demonstrated. In four out of the six studies on SARS-CoV-2, the diffusion of viral particles through HVAC was suspected or supported by computer simulation. In conclusion, there is sufficient evidence of the airborne transmission of coronaviruses in previous Asian outbreaks, and this has been taken into account in the guidelines released by organizations and international agencies for controlling the spread of SARS-CoV-2 in indoor environments. However, the technological differences in HVAC systems prevent the generalization of the results on a worldwide basis. The few COVID-19 investigations available do not provide sufficient evidence that the SARS-CoV-2 virus can be transmitted by HVAC systems.Entities:
Keywords: MERS-CoV; SARS-CoV-1; SARS-CoV-2; airborne transmission; outbreak; prevention; safety; ventilation; workplace
Mesh:
Year: 2020 PMID: 32825303 PMCID: PMC7503634 DOI: 10.3390/ijerph17176052
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Studies on coronavirus outbreaks in indoor environments.
| Authors and Year | Virus | Country | Type of Study | Type of Publication | Setting | Cases | Role of HVAC System |
|---|---|---|---|---|---|---|---|
| Lee et al., 2003 [ | SARS-CoV-1 | Hong Kong (SAR), China | Observational | Peer review journal | Hospital | 156 | Not considered (aerosol in the index case originated the outbreak) |
| Wong et al., 2004 [ | SARS-CoV-1 | Hong Kong (SAR), China | Retrospective | Peer review journal | Hospital | 66 | Indirectly proven by epidemiological data and ventilation study |
| Yu et al., 2005 [ | SARS-CoV-1 | Hong Kong (SAR), China | Retrospective | Peer review journal | Hospital | 74 | Indirectly proven by spatiotemporal pattern of infection |
| Chen et al., 2011 [ | SARS-CoV-1 | Hong Kong (SAR), China | Experimental modelling | Peer review journal | Hospital | Not reported | Indirectly proven by an airflow-dynamics model |
| Li, Huang et al., 2004 [ | SARS-CoV-1 | Hong Kong (SAR), China | Observational with experimental modeling | Peer review journal | Hospital | 30 | Indirectly proven by the spatiotemporal pattern of infection and by experimental modeling |
| Yu et al., 2004 [ | SARS-CoV-1 | Hong Kong (SAR), China | Observational with experimental modelling | Peer review journal | Community | 187 | Indirectly proven by the spatial and temporal pattern of infection and by an airflow-dynamics model |
| Li, Duan et al., 2005 [ | SARS-CoV-1 | Hong Kong (SAR), China | Experimental modeling | Peer review journal | Community | 329 | Indirectly proven by a multizone airflow-dynamics model |
| Kim et al., 2016 [ | MERS | South Korea | Environmental sampling | Peer review journal | Hospitals | 3 | HVAC contamination was demonstrated |
| Quian et al., 2020 [ | SARS-CoV-2 | China | Observational | Pre-print | Community and workplace | 1245 | Suspected |
| Zhang et al., 2020 [ | SARS-CoV-2 | Japan | Observational | Peer review journal | Ship | 355 | Suspected |
| Xu et al., 2020 [ | SARS-CoV-2 | Japan | Observational | Pre-print | Ship | 355 | Not supported by the spatiotemporal distribution of cases |
| Mizumoto and Chowel, 2020 [ | SARS-CoV-2 | Japan | Observational | Peer review journal | Ship | 355 | Not supported by the spatiotemporal distribution of cases |
| Lu et al., 2020 [ | SARS-CoV-2 | China | Observational | Peer review journal | Restaurant | 10 | Suspected |
| Li, Qian, Hang, 2020 [ | SARS-CoV-2 | China | Observational with experimental modeling | Pre-print | Restaurant | 10 | Supported by computer simulation |