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越南南部麻疹疫情:传染病计数的分层时空模型。

Measles epidemic in Southern Vietnam: an age-stratified spatio-temporal model for infectious disease counts.

机构信息

Hasselt University, Hasselt, Belgium.

The Pasteur Institute, Ho Chi Minh City, Vietnam.

出版信息

Epidemiol Infect. 2022 Sep 12;150:e169. doi: 10.1017/S0950268822001431.

DOI:10.1017/S0950268822001431
PMID:36093597
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9980966/
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.

摘要

2018 年至 2020 年期间,越南麻疹疫情死灰复燃,尤其是在南部地区。各省儿童麻疹感染比例存在明显差异。我们应用了一种时空流行-流行建模框架,对 2018 年 1 月 1 日至 2020 年 6 月 30 日在越南南部收集的麻疹监测数据进行了年龄分层传染病计数分析。结果表明,0-4 岁儿童组内疾病传播最大,而在年龄较大的组(5-14 岁、15-24 岁和 25 岁及以上组)中观察到相对较高的组间传播。在省级层面,空间传播遵循年龄相关的距离衰减,麻疹传播主要取决于本地和邻近地区的传播。本研究有助于更详细地阐明麻疹在时间和空间上的传播动态。这项研究的结果可能有助于确定麻疹暴发控制的适当策略,包括在特定地区推广针对年龄的干预计划。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42d4/9980966/d11ac33be316/S0950268822001431_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42d4/9980966/afbbbeb021e5/S0950268822001431_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42d4/9980966/28ee189dff0c/S0950268822001431_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42d4/9980966/69cdb21fdba0/S0950268822001431_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42d4/9980966/6b43bbeacd78/S0950268822001431_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42d4/9980966/d11ac33be316/S0950268822001431_fig5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42d4/9980966/afbbbeb021e5/S0950268822001431_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42d4/9980966/28ee189dff0c/S0950268822001431_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42d4/9980966/69cdb21fdba0/S0950268822001431_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42d4/9980966/6b43bbeacd78/S0950268822001431_fig4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/42d4/9980966/d11ac33be316/S0950268822001431_fig5.jpg

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