Understanding @entity1 mixing patterns is the key to provide public health decision makers with model-based evaluation of strategies for the control of @entity166 . Here we conducted a population-based survey in Tomsk, Russia, asking @entity1 to record all their contacts in physical @entity1 during the day. We estimated 9.8 contacts per @entity1 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 @entity1 . 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 @entity3082 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 @entity281 , specifically targeted on the characteristics of the Russian population.

Estimating contact patterns relevant to the spread of XXXX in Russia.

@entity1 :: ('9606', 'Species') :: ['participants', 'human', 'participant', 'person'] @entity281 :: ('MESH:D007239', 'Disease') :: ['infections'] @entity166 :: ('MESH:D003141', 'Disease') :: ['infectious diseases'] @entity3082 :: ('MESH:D004671', 'Disease') :: ['epidemic']
@entity166 :: (MESH:D003141,Disease) :: ['infectious diseases']
