Representative contact diaries for modeling the spread of infectious diseases in Taiwan.
Representative contact diaries for modeling the spread of infectious diseases in Taiwan.
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DOI：
10.1371/journal.pone.0045113
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发表时间：
2012
期刊：
影响因子：
3.7
通讯作者：
Chuang JH
中科院分区：
文献类型：
--
作者：
Fu YC;Wang DW;Chuang JH
最近的传染病研究试图从日记法调查中构建更现实的人际接触模式参数。为了确保这种基于日记的接触模式为人口稠密的台湾的政策实施提供准确的基线数据，我们从全国样本中收集了接触日记，使用3阶段系统概率抽样和严格的面对面访谈。一个有代表性的样本1,943接触日记记录了24,265个广泛的，面对面的人际接触在24小时内。近70%的接触发生在受访者的家庭之外。最活跃的年龄组是学龄儿童（5-14岁），他们平均每天约有16-18次接触，约为最不活跃年龄组的2-3倍。我们展示了这些接触模式的参数如何帮助修改一个复杂的国家模拟系统，该系统已被用于模拟台湾流行病的传播。基于这些实际和代表性的数据，使研究人员能够推断整个人口的结果，我们的分析旨在促进实施更适当和有效的战略，以控制新出现的或大流行性疾病感染。
Recent studies of infectious diseases have attempted to construct more realistic parameters of interpersonal contact patterns from diary-approach surveys. To ensure that such diary-based contact patterns provide accurate baseline data for policy implementation in densely populated Taiwan, we collected contact diaries from a national sample, using 3-stage systematic probability sampling and rigorous in-person interviews. A representative sample of 1,943 contact diaries recorded a total of 24,265 wide-range, face-to-face interpersonal contacts during a 24-hour period. Nearly 70% of the contacts occurred outside of respondents' households. The most active age group was schoolchildren (ages 5–14), who averaged around 16–18 daily contacts, about 2–3 times as many as the least active age groups. We show how such parameters of contact patterns help modify a sophisticated national simulation system that has been used for years to model the spread of pandemic diseases in Taiwan. Based on such actual and representative data that enable researchers to infer findings to the whole population, our analyses aim to facilitate implementing more appropriate and effective strategies for controlling an emerging or pandemic disease infection.
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影响因子：
3.7
作者：
Tsai MT;Chern TC;Chuang JH;Hsueh CW;Kuo HS;Liau CJ;Riley S;Shen BJ;Shen CH;Wang DW;Hsu TS
通讯作者：
Hsu TS
影响因子：
3.7
作者：
Kretzschmar M;Mikolajczyk RT
通讯作者：
Mikolajczyk RT
影响因子：
3.7
作者：
Chuang JH;Huang AS;Huang WT;Liu MT;Chou JH;Chang FY;Chiu WT
通讯作者：
Chiu WT
影响因子：
5
作者：
Wallinga, Jacco;Teunis, Peter;Kretzschmar, Mirjam
通讯作者：
Kretzschmar, Mirjam
影响因子：
2.3
作者：
Edmunds WJ;Kafatos G;Wallinga J;Mossong JR
通讯作者：
Mossong JR