Literature DB >> 22687447

Close encounters of the infectious kind: methods to measure social mixing behaviour.

J M Read1, W J Edmunds, S Riley, J Lessler, D A T Cummings.   

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.

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Year:  2012        PMID: 22687447      PMCID: PMC4288744          DOI: 10.1017/S0950268812000842

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  84 in total

1.  Monogamous networks and the spread of sexually transmitted diseases.

Authors:  Ken T D Eames; Matt J Keeling
Journal:  Math Biosci       Date:  2004-06       Impact factor: 2.144

2.  Who mixes with whom? A method to determine the contact patterns of adults that may lead to the spread of airborne infections.

Authors:  W J Edmunds; C J O'Callaghan; D J Nokes
Journal:  Proc Biol Sci       Date:  1997-07-22       Impact factor: 5.349

3.  Intrafamilial transmission of Epstein-Barr virus infections.

Authors:  G R Fleisher; P S Pasquariello; W S Warren; W S Zavod; A B Korval; H D Turner; E T Lennette
Journal:  J Pediatr       Date:  1981-01       Impact factor: 4.406

4.  Little Italy: an agent-based approach to the estimation of contact patterns- fitting predicted matrices to serological data.

Authors:  Fabrizio Iozzi; Francesco Trusiano; Matteo Chinazzi; Francesco C Billari; Emilio Zagheni; Stefano Merler; Marco Ajelli; Emanuele Del Fava; Piero Manfredi
Journal:  PLoS Comput Biol       Date:  2010-12-02       Impact factor: 4.475

5.  Dynamics of person-to-person interactions from distributed RFID sensor networks.

Authors:  Ciro Cattuto; Wouter Van den Broeck; Alain Barrat; Vittoria Colizza; Jean-François Pinton; Alessandro Vespignani
Journal:  PLoS One       Date:  2010-07-15       Impact factor: 3.240

6.  Social contacts of school children and the transmission of respiratory-spread pathogens.

Authors:  R T Mikolajczyk; M K Akmatov; S Rastin; M Kretzschmar
Journal:  Epidemiol Infect       Date:  2007-07-18       Impact factor: 2.451

7.  Bayesian modeling to unmask and predict influenza A/H1N1pdm dynamics in London.

Authors:  Paul J Birrell; Georgios Ketsetzis; Nigel J Gay; Ben S Cooper; Anne M Presanis; Ross J Harris; André Charlett; Xu-Sheng Zhang; Peter J White; Richard G Pebody; Daniela De Angelis
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-31       Impact factor: 11.205

8.  Close encounters in a pediatric ward: measuring face-to-face proximity and mixing patterns with wearable sensors.

Authors:  Lorenzo Isella; Mariateresa Romano; Alain Barrat; Ciro Cattuto; Vittoria Colizza; Wouter Van den Broeck; Francesco Gesualdo; Elisabetta Pandolfi; Lucilla Ravà; Caterina Rizzo; Alberto Eugenio Tozzi
Journal:  PLoS One       Date:  2011-02-28       Impact factor: 3.240

9.  Strategies for mitigating an influenza pandemic.

Authors:  Neil M Ferguson; Derek A T Cummings; Christophe Fraser; James C Cajka; Philip C Cooley; Donald S Burke
Journal:  Nature       Date:  2006-04-26       Impact factor: 49.962

10.  Mining social mixing patterns for infectious disease models based on a two-day population survey in Belgium.

Authors:  Niel Hens; Nele Goeyvaerts; Marc Aerts; Ziv Shkedy; Pierre Van Damme; Philippe Beutels
Journal:  BMC Infect Dis       Date:  2009-01-20       Impact factor: 3.090

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  70 in total

1.  Endogenous social distancing and its underappreciated impact on the epidemic curve.

Authors:  Marko Gosak; Moritz U G Kraemer; Heinrich H Nax; Matjaž Perc; Bary S R Pradelski
Journal:  Sci Rep       Date:  2021-02-04       Impact factor: 4.379

2.  Calling in sick: impacts of fever on intra-urban human mobility.

Authors:  T Alex Perkins; Valerie A Paz-Soldan; Steven T Stoddard; Amy C Morrison; Brett M Forshey; Kanya C Long; Eric S Halsey; Tadeusz J Kochel; John P Elder; Uriel Kitron; Thomas W Scott; Gonzalo M Vazquez-Prokopec
Journal:  Proc Biol Sci       Date:  2016-07-13       Impact factor: 5.349

Review 3.  The epidemiological advantage of preferential targeting of tuberculosis control at the poor.

Authors:  J R Andrews; S Basu; D W Dowdy; M B Murray
Journal:  Int J Tuberc Lung Dis       Date:  2015-04       Impact factor: 2.373

4.  The primary case is not enough: Variation among individuals, groups and social networks modify bacterial transmission dynamics.

Authors:  Carl N Keiser; Noa Pinter-Wollman; Michael J Ziemba; Krishna S Kothamasu; Jonathan N Pruitt
Journal:  J Anim Ecol       Date:  2017-09-04       Impact factor: 5.091

5.  Incorporating social contact data in spatio-temporal models for infectious disease spread.

Authors:  Sebastian Meyer; Leonhard Held
Journal:  Biostatistics       Date:  2017-04-01       Impact factor: 5.899

6.  Why we need crowdsourced data in infectious disease surveillance.

Authors:  Rumi Chunara; Mark S Smolinski; John S Brownstein
Journal:  Curr Infect Dis Rep       Date:  2013-08       Impact factor: 3.725

Review 7.  The impact of the built environment on health behaviours and disease transmission in social systems.

Authors:  Noa Pinter-Wollman; Andrea Jelić; Nancy M Wells
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-08-19       Impact factor: 6.237

8.  The impact of illness on social networks: implications for transmission and control of influenza.

Authors:  Kim Van Kerckhove; Niel Hens; W John Edmunds; Ken T D Eames
Journal:  Am J Epidemiol       Date:  2013-10-07       Impact factor: 4.897

9.  A cross-sectional study measuring contact patterns using diaries in an urban and a rural community in South Africa, 2018.

Authors:  Jackie Kleynhans; Stefano Tempia; Meredith L McMorrow; Anne von Gottberg; Neil A Martinson; Kathleen Kahn; Jocelyn Moyes; Thulisa Mkhencele; Limakatso Lebina; F Xavier Gómez-Olivé; Floidy Wafawanaka; Azwifarwi Mathunjwa; Cheryl Cohen
Journal:  BMC Public Health       Date:  2021-06-03       Impact factor: 3.295

10.  An infectious disease model on empirical networks of human contact: bridging the gap between dynamic network data and contact matrices.

Authors:  Anna Machens; Francesco Gesualdo; Caterina Rizzo; Alberto E Tozzi; Alain Barrat; Ciro Cattuto
Journal:  BMC Infect Dis       Date:  2013-04-23       Impact factor: 3.090

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