Literature DB >> 25228290

Contact tracing and antiviral prophylaxis in the early stages of a pandemic: the probability of a major outbreak.

Joshua V Ross1, Andrew J Black2.   

Abstract

Antiviral prophylaxis forms a significant component of health management plans for many countries around the world. A number of studies have shown that the delays typically encountered in distributing these antivirals to households, following the first infectious case, can result in their efficacy being severely reduced. Here, we investigate the use of contact tracing as a method to reduce the delays and hence mitigate the reduction in efficacy of antivirals. We assess the usefulness of contact tracing in terms of the probability of a major outbreak. It is found, with parameter distributions appropriate to the 2009 H1N1 pandemic and distributions reflecting commonly experienced delays, that standard contact tracing renders an outbreak impossible approximately one in five times compared with approximately one in ten times in its absence. A contact-tracing efficiency of 50% would see further improvements with an outbreak being impossible approximately one in four times, and a reduction of the median probability of a major outbreak from 0.41 to below 0.27. © The authors 2014. Published by Oxford University Press on behalf of the Institute of Mathematics and its Applications. All rights reserved.

Entities:  

Keywords:  antivirals; households; influenza; probability of a major outbreak; stochastic model

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Year:  2014        PMID: 25228290     DOI: 10.1093/imammb/dqu014

Source DB:  PubMed          Journal:  Math Med Biol        ISSN: 1477-8599            Impact factor:   1.854


  2 in total

1.  Combining contact tracing with targeted indoor residual spraying significantly reduces dengue transmission.

Authors:  Gonzalo M Vazquez-Prokopec; Brian L Montgomery; Peter Horne; Julie A Clennon; Scott A Ritchie
Journal:  Sci Adv       Date:  2017-02-17       Impact factor: 14.136

Review 2.  Contact Tracing Research: A Literature Review Based on Scientific Collaboration Network.

Authors:  Hui Li; Yifei Zhu; Yi Niu
Journal:  Int J Environ Res Public Health       Date:  2022-07-29       Impact factor: 4.614

  2 in total

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