The interplay between individual social behavior and clinical symptoms in small clustered groups.

ABSTRACT:

Background

Mixing patterns of human populations play a crucial role in shaping the spreading paths of infectious diseases. The diffusion of mobile and wearable devices able to record close proximity interactions represents a great opportunity for gathering detailed data on social interactions and mixing patterns in human populations. The aim of this study is to investigate how social interactions are affected by the onset of symptomatic conditions and to what extent the heterogeneity in human behavior can reflect a different risk of infection.

Methods

We study the relation between individuals' social behavior and the onset of different symptoms, by making use of data collected in 2009 among students sharing a dormitory in a North America university campus. The dataset combin

SUBMITTER: Poletti P 

PROVIDER: S-EPMC5530511 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature