Predicting the cumulative number of cases for the COVID-19 epidemic in China from early data.
Math Biosci Eng
; 17(4): 3040-3051, 2020 04 08.
Article
in English
| MEDLINE | ID: covidwho-805375
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
ABSTRACT
We model the COVID-19 coronavirus epidemic in China. We use early reported case data to predict the cumulative number of reported cases to a final size. The key features of our model are the timing of implementation of major public policies restricting social movement, the identification and isolation of unreported cases, and the impact of asymptomatic infectious cases.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pneumonia, Viral
/
Coronavirus Infections
/
Pandemics
/
Betacoronavirus
/
Models, Biological
Type of study:
Observational study
/
Prognostic study
Limits:
Humans
Country/Region as subject:
Asia
Language:
English
Journal:
Math Biosci Eng
Year:
2020
Document Type:
Article
Affiliation country:
Mbe.2020172
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