View in EDS

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

Saved in:
Bibliographic Details
Title: Impact of spatiotemporal heterogeneity in COVID-19 disease surveillance on epidemiological parameters and case growth rates.
Authors: Inward RPD; Department of Biology, University of Oxford, United Kingdom. Electronic address: rhys.inward@zoo.ox.ac.uk., Jackson F; Department of Biology, University of Oxford, United Kingdom; Department of Computer Science, University of Oxford, United Kingdom., Dasgupta A; Department of Biology, University of Oxford, United Kingdom; Department of Computer Science, University of Oxford, United Kingdom., Lee G; Department of Biology, University of Oxford, United Kingdom; Department of Computer Science, University of Oxford, United Kingdom., Battle AL; Department of Biology, University of Oxford, United Kingdom., Parag KV; MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, United Kingdom; NIHR Health Protection Research Unit in Behavioural Science and Evaluation, University of Bristol, Bristol, United Kingdom., Kraemer MUG; Department of Biology, University of Oxford, United Kingdom; Reuben College, University of Oxford, United Kingdom. Electronic address: moritz.kraemer@zoo.ox.ac.uk.
Corporate Authors: Global.health consortium
Source: Epidemics [Epidemics] 2022 Dec; Vol. 41, pp. 100627. Date of Electronic Publication: 2022 Sep 05.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: Netherlands NLM ID: 101484711 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-0067 (Electronic) Linking ISSN: 18780067 NLM ISO Abbreviation: Epidemics Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1878-0067
DOI:10.1016/j.epidem.2022.100627