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

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...

Full description

Bibliographic Details
Main Authors: Rhys P.D. Inward, Felix Jackson, Abhishek Dasgupta, Graham Lee, Anya Lindström Battle, Kris V. Parag, Moritz U.G. Kraemer
Format: Article
Language:English
Published: Elsevier 2022-12-01
Series:Epidemics
Subjects:
SARS-CoV-2
Epidemic models
Outbreak surveillance
Online Access:http://www.sciencedirect.com/science/article/pii/S1755436522000676

Internet

http://www.sciencedirect.com/science/article/pii/S1755436522000676

Similar Items