Impact of spatiotemporal heterogeneity in COVID-19 disease surveillance on epidemiological parameters and case growth rates

SARS-CoV-2 case data are primary sources for estimating epidemiological parameters and for modelling the dynamics of outbreaks. Understanding biases within case-based data sources used in epidemiological analyses is important as they can detract from the value of these rich datasets. This raises que...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Rhys P.D. Inward, Felix Jackson, Abhishek Dasgupta, Graham Lee, Anya Lindström Battle, Kris V. Parag, Moritz U.G. Kraemer
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2022-12-01
Schriftenreihe:	Epidemics
Schlagworte:	SARS-CoV-2 Epidemic models Outbreak surveillance
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S1755436522000676
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!