Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/38821
Title: Measles epidemic in Southern Vietnam: an age-stratified spatio-temporal model for infectious disease counts
Authors: NGUYEN, Trang 
FAES, Christel 
HENS, Niel 
Issue Date: 2022
Publisher: CAMBRIDGE UNIV PRESS
Source: Epidemiology and Infection, 150 (Art N° e169)
Abstract: Measles resurged in Vietnam between 2018 and 2020, especially in the Southern region. The proportion of children with measles infection showed quite some variation at the provincial level. We applied a spatio-temporal endemic-epidemic modelling framework for age-stratified infectious disease counts using measles surveillance data collected in Southern Vietnam between 1 January 2018 and 30 June 2020. We found that disease transmission within age groups was greatest in young children aged 0-4 years whereas a relatively high between-group transmission was observed in older age groups (5-14 years, 15-24 years and 25+ years groups). At the provincial level, spatial transmission followed an age-dependent distance decay with measles spread mainly depending on local and neighbouring transmission. Our study helped to clarify the measles transmission dynamics in a more detailed fashion with respect to age strata, time and space. Findings from this study may help determine proper strategies in measles outbreak control including promotion of age-targeted intervention programmes in specific areas.
Notes: Nguyen, THT (corresponding author), Hasselt Univ, Hasselt, Belgium.; Nguyen, THT (corresponding author), Pasteur Inst, Ho Chi Minh City, Vietnam.
thihuyentrang.nguyen@uhasselt.be
Keywords: Measles;social contact;spatio-temporal analysis;Vietnam
Document URI: http://hdl.handle.net/1942/38821
ISSN: 0950-2688
e-ISSN: 1469-4409
DOI: 10.1017/S0950268822001431
ISI #: 000863152600001
Rights: The Author(s), 2022. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Category: A1
Type: Journal Contribution
Validations: ecoom 2023
Appears in Collections:Research publications

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