Decay rate estimation of respiratory viruses in aerosols and on surfaces under different environmental conditions.
Bayesian regression
Influenza viruses
MERS-CoV
Ridge regression
SARS-CoV
Journal
International journal of hygiene and environmental health
ISSN: 1618-131X
Titre abrégé: Int J Hyg Environ Health
Pays: Germany
ID NLM: 100898843
Informations de publication
Date de publication:
Jun 2023
Jun 2023
Historique:
received:
22
12
2022
revised:
08
05
2023
accepted:
09
05
2023
medline:
19
6
2023
pubmed:
22
5
2023
entrez:
21
5
2023
Statut:
ppublish
Résumé
Majority of the viral outbreaks are super-spreading events established within 2-10 h, dependent on a critical time interval for successful transmission between humans, which is governed by the decay rates of viruses. To evaluate the decay rates of respiratory viruses over a short span, we calculated their decay rate values for various surfaces and aerosols. We applied Bayesian regression and ridge regression and determined the best estimation for respiratory viruses, including severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), severe acute respiratory syndrome coronavirus (SARS-CoV), middle east respiratory syndrome coronavirus (MERS-CoV), influenza viruses, and respiratory syncytial virus (RSV); the decay rate values in aerosols for these viruses were 4.83 ± 5.70, 0.40 ± 0.24, 0.11 ± 0.04, 2.43 ± 5.94, and 1.00 ± 0.50 h
Identifiants
pubmed: 37210848
pii: S1438-4639(23)00078-0
doi: 10.1016/j.ijheh.2023.114187
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
114187Informations de copyright
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