Literature DB >> 33154980

Implication of backward contact tracing in the presence of overdispersed transmission in COVID-19 outbreaks.

Akira Endo1,2,3, Quentin J Leclerc1,3, Gwenan M Knight1,3, Graham F Medley3,4, Katherine E Atkins1,3,5, Sebastian Funk1,3, Adam J Kucharski1,3.   

Abstract

Introduction: Contact tracing has the potential to control outbreaks without the need for stringent physical distancing policies, e.g. civil lockdowns. Unlike forward contact tracing, backward contact tracing identifies the source of newly detected cases. This approach is particularly valuable when there is high individual-level variation in the number of secondary transmissions (overdispersion).
Methods: By using a simple branching process model, we explored the potential of combining backward contact tracing with more conventional forward contact tracing for control of COVID-19. We estimated the typical size of clusters that can be reached by backward tracing and simulated the incremental effectiveness of combining backward tracing with conventional forward tracing.
Results: Across ranges of parameter values consistent with dynamics of SARS-CoV-2, backward tracing is expected to identify a primary case generating 3-10 times more infections than a randomly chosen case, typically increasing the proportion of subsequent cases averted by a factor of 2-3. The estimated number of cases averted by backward tracing became greater with a higher degree of overdispersion.
Conclusion: Backward contact tracing can be an effective tool for outbreak control, especially in the presence of overdispersion as is observed with SARS-CoV-2. Copyright:
© 2021 Endo A et al.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; backward tracing; contact tracing; overdispersion

Year:  2021        PMID: 33154980      PMCID: PMC7610176.3          DOI: 10.12688/wellcomeopenres.16344.3

Source DB:  PubMed          Journal:  Wellcome Open Res        ISSN: 2398-502X


  15 in total

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2.  A high-resolution human contact network for infectious disease transmission.

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4.  Estimating the overdispersion in COVID-19 transmission using outbreak sizes outside China.

Authors:  Akira Endo; Sam Abbott; Adam J Kucharski; Sebastian Funk
Journal:  Wellcome Open Res       Date:  2020-07-10

5.  Characterizing superspreading events and age-specific infectiousness of SARS-CoV-2 transmission in Georgia, USA.

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6.  Superspreading and the effect of individual variation on disease emergence.

Authors:  J O Lloyd-Smith; S J Schreiber; P E Kopp; W M Getz
Journal:  Nature       Date:  2005-11-17       Impact factor: 49.962

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8.  Implication of backward contact tracing in the presence of overdispersed transmission in COVID-19 outbreaks.

Authors:  Akira Endo; Quentin J Leclerc; Gwenan M Knight; Graham F Medley; Katherine E Atkins; Sebastian Funk; Adam J Kucharski
Journal:  Wellcome Open Res       Date:  2021-03-31

9.  What settings have been linked to SARS-CoV-2 transmission clusters?

Authors:  Quentin J Leclerc; Naomi M Fuller; Lisa E Knight; Sebastian Funk; Gwenan M Knight
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10.  Quantifying SARS-CoV-2 transmission suggests epidemic control with digital contact tracing.

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Journal:  Science       Date:  2020-03-31       Impact factor: 47.728

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  31 in total

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Authors:  Nnamdi Ndubuka; Sabyasachi Gupta; Rim Zayed; Brian Quinn; Moliehi Khaketla; Elaine Chan; Kristyn Franklin; Erin McGill
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3.  The effectiveness of COVID-19 testing and contact tracing in a US city.

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Authors:  Tapio Schneider; Oliver R A Dunbar; Jinlong Wu; Lucas Böttcher; Dmitry Burov; Alfredo Garbuno-Inigo; Gregory L Wagner; Sen Pei; Chiara Daraio; Raffaele Ferrari; Jeffrey Shaman
Journal:  PLoS Comput Biol       Date:  2022-06-23       Impact factor: 4.779

7.  The COVID-19 pandemic: key considerations for the epidemic and its control.

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8.  Implication of backward contact tracing in the presence of overdispersed transmission in COVID-19 outbreaks.

Authors:  Akira Endo; Quentin J Leclerc; Gwenan M Knight; Graham F Medley; Katherine E Atkins; Sebastian Funk; Adam J Kucharski
Journal:  Wellcome Open Res       Date:  2021-03-31

9.  Using a household-structured branching process to analyse contact tracing in the SARS-CoV-2 pandemic.

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10.  Maximizing and evaluating the impact of test-trace-isolate programs: A modeling study.

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Journal:  PLoS Med       Date:  2021-04-30       Impact factor: 11.069

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