Determination of critical decision points for COVID-19 measures in Japan.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
12 08 2021
12 08 2021
Historique:
received:
26
04
2021
accepted:
28
07
2021
entrez:
13
8
2021
pubmed:
14
8
2021
medline:
28
8
2021
Statut:
epublish
Résumé
Coronavirus disease 2019 (COVID-19) has spread throughout the world. The prediction of the number of cases has become essential to governments' ability to define policies and take countermeasures in advance. The numbers of cases have been estimated using compartment models of infectious diseases such as the susceptible-infected-removed (SIR) model and its derived models. However, the required use of hypothetical future values for parameters, such as the effective reproduction number or infection rate, increases the uncertainty of the prediction results. Here, we describe our model for forecasting future COVID-19 cases based on observed data by considering the time delay (t
Identifiants
pubmed: 34385518
doi: 10.1038/s41598-021-95617-z
pii: 10.1038/s41598-021-95617-z
pmc: PMC8361112
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
16416Subventions
Organisme : Grant-in-Aid for Scientific Research (B) from the Japan Society for the Promotion of Science
ID : 21H01699
Informations de copyright
© 2021. The Author(s).
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