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Estimating contact patterns relevant to the spread of infectious diseases in Russia

机译:估算与俄罗斯传染病传播相关的接触模式

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Abstract Understanding human mixing patterns is the key to provide public health decision makers with model-based evaluation of strategies for the control of infectious diseases. Here we conducted a population-based survey in Tomsk, Russia, asking participants to record all their contacts in physical person during the day. We estimated 9.8 contacts per person per day on average, 15.2 when including additional estimated professional contacts. We found that contacts were highly assortative by age, especially for school-age individuals, and the number of contacts negatively correlated with the age of the participant. The network of contacts was quite clustered, with the majority of contacts (about 72%) occurring between family members, students of the same school/university, and work colleagues. School represents the location where the largest number of contacts was recorded – students contacted about 7 individuals per day at school. Our modeling analysis based on the recorded contact patterns supports the importance of modeling age-mixing patterns – we show that, in the case of an epidemic caused by a novel influenza virus, school-age individuals would be the most affected age group, followed by adults aged 35–44 years. In conclusion, this study reveals an age-mixing pattern in general agreement with that estimated for European countries, although with several quantitative differences. The observed differences can be attributable to sociodemographic and cultural differences between countries. The age- and setting-specific contact matrices provided in this study could be instrumental for the design of control measures for airborne infections, specifically targeted on the characteristics of the Russian population. Highlights ? Age- and setting-specific contact patterns in Russia are estimated. ? The average number of contacts in physical person is estimated to be 9.8 per day. ? The number of contacts negatively correlates with age. ? Contacts between classmates represent a major source of contacts. ]]>
机译:摘要了解人类混合模式是为公共卫生决策者提供基于模型的对传染病的策略的关键。在这里,我们在俄罗斯托木斯克进行了基于人口的调查,要求参与者在白天在物理人员中记录他们的所有联系人。我们每天每人每天估计9.8个联系人,15.2当包括额外的估计专业联系人。我们发现联系人按年龄较大,特别是对于学龄年龄个体,以及与参与者的年龄负相关的联系人。联系网络是相当集群的,大多数联系人(约72%)发生在同一学校/大学的学生和工作同事之间。学校代表了记录最多的联系方式 - 学生每天在学校联系7个个体。我们基于记录的接触模式的建模分析支持模拟年龄混合模式的重要性 - 我们表明,在由新型流感病毒引起的疫情的情况下,学龄个体将是最受影响的年龄组,其次是成年人35-44岁。总之,本研究揭示了与欧洲国家估计的一般协定的年龄混合模式,尽管有几种定量差异。观察到的差异可归因于各国之间的社会血统和文化差异。本研究中提供的年龄和设定特定的联系人基质可能是为空气传播感染的控制措施设计,专门针对俄罗斯人群的特征来设计。强调 ?估计俄罗斯年龄和特定于特定的联系模式。还估计物理人员的平均联系人数估计每天9.8。还联系人的数量与年龄负相关。还同学之间的联系代表了联系人的主要来源。 ]]>

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