Bridging the Gap Between Experimental Data and Model Parameterization for Chikungunya Virus Transmission Predictions.
J Infect Dis
; 214(suppl 5): S466-S470, 2016 Dec 15.
Article
en En
| MEDLINE
| ID: mdl-27920175
ABSTRACT
Chikungunya virus (CHIKV) has experienced 2 major expansion events in the last decade. The most recently emerged sublineage (ECSA-V) was shown to have increased efficiency in a historically secondary vector, Aedes albopictus, leading to speculation that this was a major factor in expansion. Subsequently, a number of experimental studies focused on the vector competence of CHIKV, as well as transmission modeling efforts. Mathematical models have used these data to inform their own investigations, but some have incorrectly parameterized the extrinsic incubation period (EIP) of the mosquitoes, using vector competence data. Vector competence and EIP are part of the same process but are not often correctly reported together. Thus, the way these metrics are used for model parameterization can be problematic. We offer suggestions for bridging this gap for the purpose of standardization of reporting and to promote appropriate use of experimental data in modeling efforts.
Palabras clave
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Virus Chikungunya
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Aedes
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Fiebre Chikungunya
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Mosquitos Vectores
Tipo de estudio:
Prognostic_studies
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Risk_factors_studies
Límite:
Animals
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Humans
Idioma:
En
Año:
2016
Tipo del documento:
Article