Literature DB >> 33972522

Discontinuous epidemic transition due to limited testing.

Davide Scarselli1, Nazmi Burak Budanur1, Marc Timme2, Björn Hof3.   

Abstract

High impact epidemics constitute one of the largest threats humanity is facing in the 21st century. In the absence of pharmaceutical interventions, physical distancing together with testing, contact tracing and quarantining are crucial in slowing down epidemic dynamics. Yet, here we show that if testing capacities are limited, containment may fail dramatically because such combined countermeasures drastically change the rules of the epidemic transition: Instead of continuous, the response to countermeasures becomes discontinuous. Rather than following the conventional exponential growth, the outbreak that is initially strongly suppressed eventually accelerates and scales faster than exponential during an explosive growth period. As a consequence, containment measures either suffice to stop the outbreak at low total case numbers or fail catastrophically if marginally too weak, thus implying large uncertainties in reliably estimating overall epidemic dynamics, both during initial phases and during second wave scenarios.

Entities:  

Year:  2021        PMID: 33972522     DOI: 10.1038/s41467-021-22725-9

Source DB:  PubMed          Journal:  Nat Commun        ISSN: 2041-1723            Impact factor:   14.919


  12 in total

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3.  Collective dynamics of 'small-world' networks.

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4.  The Neglected Dimension of Global Security--A Framework for Countering Infectious-Disease Crises.

Authors:  Peter Sands; Carmen Mundaca-Shah; Victor J Dzau
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Review 6.  Role of contact tracing in containing the 2014 Ebola outbreak: a review.

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Journal:  Afr Health Sci       Date:  2017-03       Impact factor: 0.927

7.  Asymptomatic Transmission, the Achilles' Heel of Current Strategies to Control Covid-19.

Authors:  Monica Gandhi; Deborah S Yokoe; Diane V Havlir
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8.  Disease-induced resource constraints can trigger explosive epidemics.

Authors:  L Böttcher; O Woolley-Meza; N A M Araújo; H J Herrmann; D Helbing
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9.  Complex Dynamical Behaviour in an Epidemic Model with Control.

Authors:  Martin Vyska; Christopher Gilligan
Journal:  Bull Math Biol       Date:  2016-10-18       Impact factor: 1.758

10.  SARS-CoV-2 (COVID-19) by the numbers.

Authors:  Yinon M Bar-On; Avi Flamholz; Rob Phillips; Ron Milo
Journal:  Elife       Date:  2020-04-02       Impact factor: 8.140

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  1 in total

1.  An autonomous compartmental model for accelerating epidemics.

Authors:  Nazmi Burak Budanur; Björn Hof
Journal:  PLoS One       Date:  2022-07-18       Impact factor: 3.752

  1 in total

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