Title
Bridging the gap between experimental data and model parameterization for chikungunya virus transmission predictions
Date Issued
01 December 2016
Access level
open access
Resource Type
conference paper
Author(s)
Christofferson R.C.
Wearing H.J.
School of Veterinary Medicine
Publisher(s)
Oxford University Press
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.
Start page
S466
End page
S470
Volume
214
Language
English
OCDE Knowledge area
Virología Inmunología
Scopus EID
2-s2.0-85015875229
PubMed ID
ISSN of the container
00221899
Conference
Journal of Infectious Diseases
Sponsor(s)
Financial support. This work was supported by the National Institute of General Medical Sciences, National Institutes of Health (grant U01 GM097661).
Sources of information: Directorio de Producción Científica Scopus