Identifiability issues in estimating the impact of interventions on Covid-19 spread.
IFAC Pap OnLine
; 53(5): 829-832, 2020.
Article
em En
| MEDLINE
| ID: mdl-38620619
ABSTRACT
The Covid-19 pandemic has spawned numerous dynamic modeling attempts aimed at estimation, prediction, and ultimately control. The predictive power of these attempts has varied, and there remains a lack of consensus regarding the mechanisms of virus spread and the effectiveness of various non-pharmaceutical interventions that have been enforced regionally as well as nationally. Setting out in data available in the spring of 2020, and with a now-famous model by Imperial College researchers as example, we employ an information-theoretical approach to shed light on why the predictive power of early modeling approaches have remained disappointingly poor.
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1
Coleções:
01-internacional
Base de dados:
MEDLINE
Idioma:
En
Revista:
IFAC Pap OnLine
Ano de publicação:
2020
Tipo de documento:
Article
País de afiliação:
Suécia