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Accurate forecasts of the effectiveness of interventions against Ebola may require models that account for variations in symptoms during infection

Abstract:

Epidemiological models are routinely used to predict the effects of interventions aimed at reducing the impacts of Ebola epidemics. Most models of interventions targeting symptomatic hosts, such as isolation or treatment, assume that all symptomatic hosts are equally likely to be detected. In other words, following an incubation period, the level of symptoms displayed by an individual host is assumed to remain constant throughout an infection. In reality, however, symptoms vary between differ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1016/j.epidem.2019.100371

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Publisher:
Elsevier Publisher's website
Journal:
Epidemics Journal website
Volume:
29
Issue:
2019
Article number:
100371
Publication date:
2019-09-11
Acceptance date:
2019-09-06
DOI:
EISSN:
1878-0067
ISSN:
1755-4365
Source identifiers:
1052933
Keywords:
Pubs id:
pubs:1052933
UUID:
uuid:2ce474cc-a059-4df4-b562-c3ea6b3d31b7
Local pid:
pubs:1052933
Deposit date:
2019-09-11

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