Model-inferred timing and infectious period of the chickenpox outbreak source.

IF 3.4 3区 医学 Q2 INFECTIOUS DISEASES BMC Infectious Diseases Pub Date : 2024-11-07 DOI:10.1186/s12879-024-10127-3
Chang-Wei Liang, Qiu-Ying Lv, Zhi-Gao Chen, Bin Xu, Ying-Si Lai, Zhen Zhang
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引用次数: 0

Abstract

Background: In May 2024, a chickenpox outbreak was reported at Xiasha Primary School located in Nanshan District, Shenzhen City, China, with a total of 12 cases identified. Despite thorough on-site investigations, the source of infection remained undetected. The purpose of our study was to infer the timing and duration of the infectious period of the initial case using modeling techniques, thereby deducing the identity of the source.

Methods: We conducted an individual contact survey within the class affected by the epidemic and utilized an agent-based model (ABM) to estimate the key parameters related to the timing of the infectious source's emergence and the duration of its infectiousness. The point estimates derived from the ABM served as prior information for a subsequent Bayesian analysis, which in turn provided the posterior distribution for these parameters.

Results: Our models suggested the infection source entered the classroom around April 24th (95% credible interval: April 22nd to April 26th), with an infectious period of approximately two days. Based on these findings, we should aim to detect students who may have been absent due to atypical chickenpox symptoms during this period and closely examine teachers who were present for two consecutive days for any indication of potential infection.

Conclusion: This study demonstrates the efficacy of combining contact surveys with mathematical modeling for outbreak source tracing, offering a novel approach to supplement field epidemiological surveys.

Clinical trial number: Not applicable.

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模型推断的水痘爆发源时间和传染期。
背景:2024 年 5 月,中国深圳市南山区下沙小学爆发水痘疫情,共发现 12 例病例。尽管进行了彻底的现场调查,但仍未发现传染源。我们的研究旨在利用建模技术推断最初病例的感染时间和持续时间,从而推断出传染源的身份:方法:我们在受疫情影响的人群中进行了个人接触调查,并利用基于代理的模型(ABM)估算了与传染源出现的时间及其传染性持续时间有关的关键参数。基于代理的模型得出的点估计值可作为后续贝叶斯分析的先验信息,进而为这些参数提供后验分布:我们的模型表明,传染源在 4 月 24 日左右进入教室(95% 可信区间:4 月 22 日至 4 月 26 日),传染期约为两天。基于这些发现,我们应致力于发现在此期间可能因非典型水痘症状而缺席的学生,并密切检查连续两天在场的教师是否有任何潜在感染迹象:本研究证明了将接触调查与数学模型相结合进行疫源追踪的有效性,为实地流行病学调查提供了一种新的补充方法:不适用。
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来源期刊
BMC Infectious Diseases
BMC Infectious Diseases 医学-传染病学
CiteScore
6.50
自引率
0.00%
发文量
860
审稿时长
3.3 months
期刊介绍: BMC Infectious Diseases is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of infectious and sexually transmitted diseases in humans, as well as related molecular genetics, pathophysiology, and epidemiology.
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