Literature DB >> 14728778

Contact tracing and disease control.

Ken T D Eames1, Matt J Keeling.   

Abstract

Contact tracing, followed by treatment or isolation, is a key control measure in the battle against infectious diseases. It is an extreme form of locally targeted control, and as such has the potential to be highly efficient when dealing with low numbers of cases. For this reason it is frequently used to combat sexually transmitted diseases and new invading pathogens. Accurate modelling of contact tracing requires explicit information about the disease-transmission pathways from each individual, and hence the network of contacts. Here, pairwise-approximation methods and full stochastic simulations are used to investigate the utility of contact tracing. A simple relationship is found between the efficiency of contact tracing necessary for eradication and the basic reproductive ratio of the disease. This holds for a wide variety of realistic situations including heterogeneous networks containing core-groups or super-spreaders, and asymptomatic individuals. Clustering (transitivity) within the transmission network is found to destroy the relationship, requiring lower efficiency than predicted.

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Year:  2003        PMID: 14728778      PMCID: PMC1691540          DOI: 10.1098/rspb.2003.2554

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  26 in total

1.  A moment closure model for sexually transmitted disease transmission through a concurrent partnership network.

Authors:  C Bauch; D A Rand
Journal:  Proc Biol Sci       Date:  2000-10-07       Impact factor: 5.349

2.  The construction and analysis of epidemic trees with reference to the 2001 UK foot-and-mouth outbreak.

Authors:  D T Haydon; M Chase-Topping; D J Shaw; L Matthews; J K Friar; J Wilesmith; M E J Woolhouse
Journal:  Proc Biol Sci       Date:  2003-01-22       Impact factor: 5.349

3.  Contact tracing and epidemics control in social networks.

Authors:  Ramon Huerta; Lev S Tsimring
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2002-11-19

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Authors:  O Diekmann; J A Heesterbeek; J A Metz
Journal:  J Math Biol       Date:  1990       Impact factor: 2.259

Review 5.  Vaccination in pulses: a strategy for global eradication of measles and polio?

Authors:  D J Nokes; J Swinton
Journal:  Trends Microbiol       Date:  1997-01       Impact factor: 17.079

6.  Modelling AIDS reduction strategies.

Authors:  D A Kault
Journal:  Int J Epidemiol       Date:  1995-02       Impact factor: 7.196

7.  Measles in England and Wales--III: Assessing published predictions of the impact of vaccination on incidence.

Authors:  P E Fine; J A Clarkson
Journal:  Int J Epidemiol       Date:  1983-09       Impact factor: 7.196

8.  Partner notification in the United States: an evidence-based review.

Authors:  B A Macke; J E Maher
Journal:  Am J Prev Med       Date:  1999-10       Impact factor: 5.043

9.  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

10.  Epidemiological determinants of spread of causal agent of severe acute respiratory syndrome in Hong Kong.

Authors:  Christl A Donnelly; Azra C Ghani; Gabriel M Leung; Anthony J Hedley; Christophe Fraser; Steven Riley; Laith J Abu-Raddad; Lai-Ming Ho; Thuan-Quoc Thach; Patsy Chau; King-Pan Chan; Tai-Hing Lam; Lai-Yin Tse; Thomas Tsang; Shao-Haei Liu; James H B Kong; Edith M C Lau; Neil M Ferguson; Roy M Anderson
Journal:  Lancet       Date:  2003-05-24       Impact factor: 79.321

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  89 in total

1.  Disease contact tracing in random and clustered networks.

Authors:  Istvan Z Kiss; Darren M Green; Rowland R Kao
Journal:  Proc Biol Sci       Date:  2005-07-07       Impact factor: 5.349

Review 2.  Networks and epidemic models.

Authors:  Matt J Keeling; Ken T D Eames
Journal:  J R Soc Interface       Date:  2005-09-22       Impact factor: 4.118

3.  Contact tracing strategies in heterogeneous populations.

Authors:  K T D Eames
Journal:  Epidemiol Infect       Date:  2006-07-19       Impact factor: 2.451

4.  Infectious disease control using contact tracing in random and scale-free networks.

Authors:  Istvan Z Kiss; Darren M Green; Rowland R Kao
Journal:  J R Soc Interface       Date:  2006-02-22       Impact factor: 4.118

5.  Exogenous re-infection and the dynamics of tuberculosis epidemics: local effects in a network model of transmission.

Authors:  Ted Cohen; Caroline Colijn; Bryson Finklea; Megan Murray
Journal:  J R Soc Interface       Date:  2007-06-22       Impact factor: 4.118

6.  Host community structure and the maintenance of pathogen diversity.

Authors:  Caroline Buckee; Leon Danon; Sunetra Gupta
Journal:  Proc Biol Sci       Date:  2007-07-22       Impact factor: 5.349

7.  Predicting undetected infections during the 2007 foot-and-mouth disease outbreak.

Authors:  C P Jewell; M J Keeling; G O Roberts
Journal:  J R Soc Interface       Date:  2008-12-16       Impact factor: 4.118

8.  Impact of spatial clustering on disease transmission and optimal control.

Authors:  Michael J Tildesley; Thomas A House; Mark C Bruhn; Ross J Curry; Maggie O'Neil; Justine L E Allpress; Gary Smith; Matt J Keeling
Journal:  Proc Natl Acad Sci U S A       Date:  2009-12-01       Impact factor: 11.205

9.  Preventable H5N1 avian influenza epidemics in the British poultry industry network exhibit characteristic scales.

Authors:  A R T Jonkers; K J Sharkey; R M Christley
Journal:  J R Soc Interface       Date:  2009-10-14       Impact factor: 4.118

10.  From Markovian to pairwise epidemic models and the performance of moment closure approximations.

Authors:  Michael Taylor; Péter L Simon; Darren M Green; Thomas House; Istvan Z Kiss
Journal:  J Math Biol       Date:  2011-06-14       Impact factor: 2.259

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