| Literature DB >> 34029759 |
Sara Romano-Bertrand1, Yolène Carré2, Ludwig-Serge Aho Glélé3, Didier Lepelletier4.
Abstract
SARS-CoV-2 mainly infects the respiratory tract, and presents significantly higher active replication in the upper airways. To remain viable and infectious, the SARS-CoV-2 virion must be complete and integral, which is not easily demonstrated in the environment by positive reverse transcriptase PCR results. Real-life conditions in healthcare settings may be conducive to SARS-CoV-2 RNA dissemination in the environment but without evidence of its viability and infectiveness in air. Theoretically, SARS-CoV-2 shedding and dissemination nonetheless appears to be air-mediated, and a distinction between "air" and "droplet" transmission is too schematic to reflect the reality of the respiratory particles emitted by patients, between which a continuum exists. Airborne transmission is influenced by numerous environmental conditions that are not transposable between different viral agents and situations in healthcare settings or in the community. Even though international guidelines on "droplet" versus "air" precautions and personal protective equipment (surgical versus respirator masks) are under discussion, the existing literature underscores the effectiveness of "droplet" precautions as a means of protecting healthcare workers. Differentiation in guidelines between healthcare venues, community settings and, more generally, confined environments is of paramount importance, especially insofar as it underlines the abiding pandemic-related need for systematic mask wearing by the general population.Entities:
Keywords: COVID-19; aerosol; infection control; mask; pandemic
Year: 2021 PMID: 34029759 PMCID: PMC8139431 DOI: 10.1016/j.idnow.2021.05.005
Source DB: PubMed Journal: Infect Dis Now ISSN: 2666-9919
Differences between clinicians, aerosol scientists and the general public in the understanding of airborne terminology, adapted from Tang et al. [17].
| Terminology | Clinicians | Aerosol scientists | General population |
|---|---|---|---|
| Airborne | Long-distance transmission that requires a N95/FFP respirator for infection control (for example Measles) | Anything in the air | Anything in the air |
| Aerosol | Particle < 5 μm that mediates airborne transmission; produced during aerosol-generating procedures: requiring a N95/FFP respirator for infection control | Collection of solid and/or liquid particles of any size suspended in a gas | Hair spray or other personal/cleaning products |
| Droplet | Particle > 5 μm that falls rapidly to the ground within a distance of 1-2 m from source; requires a surgical mask for infection control | Liquid particle | What comes out of an eyedropper |
| Droplet nuclei | Residue of a droplet that has evaporated to < 5 μm; synonymous with aerosol | A related term, ‘cloud condensation nuclei’, refers to small particles on to which water condenses to form cloud droplets | Never heard of! |
| Particle | Virion | Tiny solid or liquid ‘blop’ in the air | Like soot or ash |
Fig. 1Factors influencing virus survival on fomites (adapted from Boone et al., 2007).
Summary of studies assessing SARS-CoV-2 environmental contamination in healthcare settings.
| Study | Environmental samples | rRT-PCR targets | Culture | Results |
|---|---|---|---|---|
| Zhou et al. 2020 | 218 surface samples | E gene | Yes, Vero E6 (African Green monkey kidney) and Caco2 (human colon carcinoma) cells | Surface samples: 114/218 (52.3%) positive in rRT-PCR (10 to 104 copies per swab) |
| Chia et al. 2020 | 245 surface samples | E gene | Not performed | Surface samples: 56/245 (22.9%) positive in rRT-PCR (viral load not specified) |
| Liu et al. 2020 | 35 air samples | ORF1ab and N genes in ddPCR | Not performed | Air samples: 21/35 (60%) positive in ddPCR up to 40 copies per m3 for particles of < 1 μm in size and up to 10 copies per m3 for particles of > 1 μm in size |
| Guo et al. 2020 | 161 surface samples | ORF1ab and N genes | Not performed | Surface samples: 41/161 (25.5%) positive in rRT-PCR (2.9 × 103 to 1.5 × 105 copies) |
| Ong et al. 2020 | 78 surface samples | RdRp and E genes | Not performed | Surface samples: 45/78 (57.7%) positive in rRT-PCR (average of 103 to 104 copies) |
| Colinari et al. 2020 | 26 surface samples | RdRp and E genes | Yes, Vero E6 cells | Surface samples: 2/26 (7.7%) positive in rRT-PCR (viral load not specified) |
| Faridi et al. 2020 | 10 air samples (9 m3) | RdRp and E genes | Not performed | Air samples: all negative |
| Razzini et al. 2020 | 37 surface samples | Not specified | Not performed | Surface samples: 9/37 (24.3%) positive in rRT-PCR (21.5 and 23.9 Ct value) |
| Li et al. 2020 | 135 surface samples | Not specified | Not performed | Surface samples: 2/135 (1.5%) positive in rRT-PCR (viral load not specified) |
| Wei et al. 2020 | 112 surface samples | ORF1ab and N genes | Not performed | Surface samples: 44/112 (39.3%) positive in rRT-PCR (viral load not specified) |
E: envelope (112 nucleotides); N: nucleocapsid; ORF: open reading frame; RdRp: RNA-dependent RNA polymerase (99 nucleotides).
According to Corman et al., 2020.
Droplet Digital PCR (ddPCR) method described as more sensitive than rRT-PCR to detect SARS-CoV-2, according to Suo et al., 2020.