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Close encounters of the infectious kind: methods to measure social mixing behaviour ; Epidemiol Infect

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Source:
Epidemiol Infect. 2012; 140(12):2117-2130.
Subject Terms:
Article; Contact diary; infectious disease control; mathematical modelling; proximity; social mixing; social network; transmission; Contact Tracing; Humans; Mathematical Concepts; Radio Frequency Identification Device; Respiratory Tract Infections; Social Behavior; Social Participation
Document Type:
other/unknown material
Language:
unknown

Additional Information
- Contributors:
  READ, J. M.; EDMUNDS, W. J.; RILEY, S.; LESSLER, J.; CUMMINGS, D. A. T.
- Collection:
  CDC Stacks (Centers for Disease Control and Prevention)
- Abstract:
  A central tenet of close-contact or respiratory infection epidemiology is that infection patterns within human populations are related to underlying patterns of social interaction. Until recently, few researchers had attempted to quantify potentially infectious encounters made between people. Now, however, several studies have quantified social mixing behaviour, using a variety of methods. Here, we review the methodologies employed, suggest other appropriate methods and technologies, and outline future research challenges for this rapidly advancing field of research. ; 1 R01 TW008246-01/TW/FIC NIH HHS/United States ; 1U01CK000179-01/CK/NCEZID CDC HHS/United States ; G0600719/Medical Research Council/United Kingdom ; K22 AI092150/AI/NIAID NIH HHS/United States ; MR/K010174/1/Medical Research Council/United Kingdom ; RES-355-25-0019/Medical Research Council/United Kingdom ; 2015-01-09T00:00:00Z ; 22687447 ; PMC4288744
- Relation:
  cdc:33723; http://stacks.cdc.gov/view/cdc/33723/
- Online Access:
  http://stacks.cdc.gov/view/cdc/33723/
- Accession Number:
  edsbas.120D1AF5

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