Literature DB >> 16848925

Contact tracing strategies in heterogeneous populations.

K T D Eames1.   

Abstract

Contact tracing is a well-established disease control measure that seeks to uncover cases by following chains of infection. This paper examines mathematical models of both single-step and iterative contact tracing schemes and analyses the ability of these procedures to trace core groups and the sensitivity of the intervention to the timescale of tracing. An iterative tracing process is shown to be particularly effective at uncovering high-risk individuals, and thus it provides a powerful public health tool. Further targeting of tracing effort is considered. When the population exhibits like-with-like (assortative) mixing the required effort for eradication can be significantly reduced by preferentially tracing the contacts of high-risk individuals; in populations where individuals have reliable information about their contacts, further gains in efficiency can be realized. Contact tracing is, therefore, potentially an even more potent tool than its present usage suggests.

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Year:  2006        PMID: 16848925      PMCID: PMC2870583          DOI: 10.1017/S0950268806006923

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


  32 in total

1.  Contact tracing in stochastic and deterministic epidemic models.

Authors:  J Müller; M Kretzschmar; K Dietz
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2.  Contact tracing and disease control.

Authors:  Ken T D Eames; Matt J Keeling
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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

4.  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

5.  Sexual mixing patterns in the spread of gonococcal and chlamydial infections.

Authors:  S O Aral; J P Hughes; B Stoner; W Whittington; H H Handsfield; R M Anderson; K K Holmes
Journal:  Am J Public Health       Date:  1999-06       Impact factor: 9.308

6.  Social networks and the spread of infectious diseases: the AIDS example.

Authors:  A S Klovdahl
Journal:  Soc Sci Med       Date:  1985       Impact factor: 4.634

7.  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

8.  Case isolation and contact tracing can prevent the spread of smallpox.

Authors:  Martin Eichner
Journal:  Am J Epidemiol       Date:  2003-07-15       Impact factor: 4.897

9.  Modeling prevention strategies for gonorrhea and Chlamydia using stochastic network simulations.

Authors:  M Kretzschmar; Y T van Duynhoven; A J Severijnen
Journal:  Am J Epidemiol       Date:  1996-08-01       Impact factor: 4.897

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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  10 in total

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Journal:  Am J Primatol       Date:  2019-04-02       Impact factor: 2.371

2.  Modeling secondary level of HIV contact tracing: its impact on HIV intervention in Cuba.

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Journal:  BMC Infect Dis       Date:  2010-07-01       Impact factor: 3.090

3.  Insights from unifying modern approximations to infections on networks.

Authors:  Thomas House; Matt J Keeling
Journal:  J R Soc Interface       Date:  2010-06-10       Impact factor: 4.118

4.  The role of vaccination coverage, individual behaviors, and the public health response in the control of measles epidemics: an agent-based simulation for California.

Authors:  Fengchen Liu; Wayne T A Enanoria; Jennifer Zipprich; Seth Blumberg; Kathleen Harriman; Sarah F Ackley; William D Wheaton; Justine L Allpress; Travis C Porco
Journal:  BMC Public Health       Date:  2015-05-01       Impact factor: 3.295

5.  Conflicts of interest during contact investigations: a game-theoretic analysis.

Authors:  Nicolas Sippl-Swezey; Wayne T Enanoria; Travis C Porco
Journal:  Comput Math Methods Med       Date:  2014-04-14       Impact factor: 2.238

6.  Inferring transmission heterogeneity using virus genealogies: Estimation and targeted prevention.

Authors:  Yunjun Zhang; Thomas Leitner; Jan Albert; Tom Britton
Journal:  PLoS Comput Biol       Date:  2020-09-03       Impact factor: 4.475

7.  Contact tracing - Old models and new challenges.

Authors:  Johannes Müller; Mirjam Kretzschmar
Journal:  Infect Dis Model       Date:  2020-12-30

Review 8.  Sexually transmitted infections in polygamous mating systems.

Authors:  Ben Ashby; Sunetra Gupta
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2013-01-21       Impact factor: 6.237

9.  Integrating stochasticity and network structure into an epidemic model.

Authors:  C E Dangerfield; J V Ross; M J Keeling
Journal:  J R Soc Interface       Date:  2008-10-30       Impact factor: 4.118

10.  Vaccination and clinical severity: is the effectiveness of contact tracing and case isolation hampered by past vaccination?

Authors:  Kenji Mizumoto; Keisuke Ejima; Taro Yamamoto; Hiroshi Nishiura
Journal:  Int J Environ Res Public Health       Date:  2013-02-27       Impact factor: 3.390

  10 in total

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