Social contact patterns relevant to the spread of respiratory infectious diseases in Hong Kong.

Social contact patterns relevant to the spread of respiratory infectious diseases in Hong Kong.
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DOI:
10.1038/s41598-017-08241-1
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发表时间:
2017-08-11
期刊:
影响因子:
4.6
通讯作者:
Wu JT
Wu JT
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Leung K;Jit M;Lau EHY;Wu JT

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许多呼吸道感染的传播取决于人群中感染者和易感者之间的接触模式。由于香港人口密度高,加上航空运输网络四通八达,香港已成为新发传染病的热点地区,因此并无公开数据可量化与呼吸道传染病传播有关的社交接触模式。2015/16年度,我们采用常用的日记设计,以纸本及网上问卷在香港进行社会接触调查。使用纸质问卷的参与者比使用在线问卷的参与者报告了更多的接触和更长的接触时间。参与者报告了13人小时的接触,平均每天8次接触,随着年龄的增长而减少,但随着家庭规模,教育年限和收入水平的增加而增加。长期和频繁的接触,以及在家里,学校和工作中的接触更有可能涉及身体接触。在所有年龄组中均观察到强烈的年龄依赖性。我们评估了与呼吸道传染病在香港传播相关的社会接触模式的特征。我们的研究结果可以帮助改善未来的社会接触调查,呼吸道传染病的参数化传播模型的设计,并根据模型输出的干预策略。
The spread of many respiratory infections is determined by contact patterns between infectious and susceptible individuals in the population. There are no published data for quantifying social contact patterns relevant to the spread of respiratory infectious diseases in Hong Kong which is a hotspot for emerging infectious diseases due to its high population density and connectivity in the air transportation network. We adopted a commonly used diary-based design to conduct a social contact survey in Hong Kong in 2015/16 using both paper and online questionnaires. Participants using paper questionnaires reported more contacts and longer contact duration than those using online questionnaires. Participants reported 13 person-hours of contact and 8 contacts per day on average, which decreased over age but increased with household size, years of education and income level. Prolonged and frequent contacts, and contacts at home, school and work were more likely to involve physical contacts. Strong age-assortativity was observed in all age groups. We evaluated the characteristics of social contact patterns relevant to the spread of respiratory infectious diseases in Hong Kong. Our findings could help to improve the design of future social contact surveys, parameterize transmission models of respiratory infectious diseases, and inform intervention strategies based on model outputs.
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