Literature DB >> 16849217

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

Istvan Z Kiss1, Darren M Green, Rowland R Kao.   

Abstract

Contact tracing aims to identify and isolate individuals that have been in contact with infectious individuals. The efficacy of contact tracing and the hierarchy of traced nodes-nodes with higher degree traced first-is investigated and compared on random and scale-free (SF) networks with the same number of nodes N and average connection K. For values of the transmission rate larger than a threshold, the final epidemic size on SF networks is smaller than that on corresponding random networks. While in random networks new infectious and traced nodes from all classes have similar average degrees, in SF networks the average degree of nodes that are in more advanced stages of the disease is higher at any given time. On SF networks tracing removes possible sources of infection with high average degree. However a higher tracing effort is required to control the epidemic than on corresponding random networks due to the high initial velocity of spread towards the highly connected nodes. An increased latency period fails to significantly improve contact tracing efficacy. Contact tracing has a limited effect if the removal rate of susceptible nodes is relatively high, due to the fast local depletion of susceptible nodes.

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Year:  2006        PMID: 16849217      PMCID: PMC1618487          DOI: 10.1098/rsif.2005.0079

Source DB:  PubMed          Journal:  J R Soc Interface        ISSN: 1742-5662            Impact factor:   4.118


  25 in total

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2.  Contact tracing in stochastic and deterministic epidemic models.

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Journal:  Proc Biol Sci       Date:  2003-12-22       Impact factor: 5.349

4.  The impact of local heterogeneity on alternative control strategies for foot-and-mouth disease.

Authors:  Rowland R Kao
Journal:  Proc Biol Sci       Date:  2003-12-22       Impact factor: 5.349

5.  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

6.  An assessment of preferential attachment as a mechanism for human sexual network formation.

Authors:  James Holland Jones; Mark S Handcock
Journal:  Proc Biol Sci       Date:  2003-06-07       Impact factor: 5.349

7.  Subnets of scale-free networks are not scale-free: sampling properties of networks.

Authors:  Michael P H Stumpf; Carsten Wiuf; Robert M May
Journal:  Proc Natl Acad Sci U S A       Date:  2005-03-14       Impact factor: 11.205

8.  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

9.  The outcome of contact tracing for gonorrhoea in the United Kingdom.

Authors:  M R FitzGerald; D Thirlby; C A Bedford
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10.  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

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  26 in total

1.  Demographic structure and pathogen dynamics on the network of livestock movements in Great Britain.

Authors:  R R Kao; L Danon; D M Green; I Z Kiss
Journal:  Proc Biol Sci       Date:  2006-08-22       Impact factor: 5.349

2.  The pluses and minuses of R0.

Authors:  M G Roberts
Journal:  J R Soc Interface       Date:  2007-10-22       Impact factor: 4.118

3.  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

4.  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
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5.  Beyond Contact Tracing: Community-Based Early Detection for Ebola Response.

Authors:  Vincent Wong; Daniel Cooney; Yaneer Bar-Yam
Journal:  PLoS Curr       Date:  2016-05-19

6.  Inferring model parameters in network-based disease simulation.

Authors:  Eva A Enns; Margaret L Brandeau
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7.  Estimation of swine movement network at farm level in the US from the Census of Agriculture data.

Authors:  Sifat A Moon; Tanvir Ferdousi; Adrian Self; Caterina M Scoglio
Journal:  Sci Rep       Date:  2019-04-17       Impact factor: 4.379

8.  Models of epidemics: when contact repetition and clustering should be included.

Authors:  Timo Smieszek; Lena Fiebig; Roland W Scholz
Journal:  Theor Biol Med Model       Date:  2009-06-29       Impact factor: 2.432

9.  Animal movement in a pastoralist population in the Maasai Mara Ecosystem in Kenya and implications for pathogen spread and control.

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Review 10.  Data-driven methods for present and future pandemics: Monitoring, modelling and managing.

Authors:  Teodoro Alamo; Daniel G Reina; Pablo Millán Gata; Victor M Preciado; Giulia Giordano
Journal:  Annu Rev Control       Date:  2021-06-29       Impact factor: 6.091

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