A high-resolution human contact network for infectious disease transmission

Stanford University · Museum of Indian Arts and Culture · +1 more institution

PubMed
Indexed inarxivcrossrefpubmed

Abstract

The most frequent infectious diseases in humans--and those with the highest potential for rapid pandemic spread--are usually transmitted via droplets during close proximity interactions (CPIs). Despite the importance of this transmission route, very little is known about the dynamic patterns of CPIs. Using wireless sensor network technology, we obtained high-resolution data of CPIs during a typical day at an American high school, permitting the reconstruction of the social network relevant for infectious disease transmission. At 94% coverage, we collected 762,868 CPIs at a maximal distance of 3 m among 788 individuals. The data revealed a high-density network with typical small-world properties and a…

Citation impact

781
total citations
FWCI
29.43
Percentile
100%
References
50
Citations per year

Authors

6

Topics & keywords

Keywords
  • Homogeneous
  • Infectious disease (medical specialty)
  • Pandemic
  • Disease
  • Transmission (telecommunications)
  • High resolution
  • Computer science
  • Immunization
UN Sustainable Development Goals
  • Good health and well-being
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