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Impacts of detection and contact tracing on the epidemic spread in time-varying networks

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  • Hong, Xiao
  • Han, Yuexing
  • Wang, Bing

Abstract

In the situation of insufficient vaccines and rapid mutation of the virus, detection and contact tracing have been argued to be effective interventions in the containment of emergent epidemics. However, most of previous studies are devoted to data-driven, leading to insufficient understanding of quantifying their effectiveness, especially when individuals’ interactions evolve with time. Here, we aim at quantifying the effectiveness of detection and contact tracing interventions in suppressing the epidemic in time-varying networks. We propose the Susceptible-Exposed-Infected-Removed-Dead-Hospitalized (SEIRDH) model with detection and contact tracing. Under the framework of time-varying networks and with a mean-field approach, we analyze the epidemic thresholds under different situations. Experimental results show that detection can effectively suppress the epidemic spread with an increased epidemic threshold, while the role of tracing depends on the characteristics of the epidemic. When an epidemic is infectious in the incubation period, contact tracing has an obvious effect in suppressing the epidemic spread, but not when the epidemic is not infectious in the incubation. Thus, we apply this framework in real networks to explore possible contact tracing measures by taking use of individuals’ properties. We find that contact tracing based on activity and historical information is more efficient than random contact tracing. Moreover, individuals’ attractiveness and aging effects also affect the efficiency of detection and contact tracing. In conclusion, making full use of individuals’ properties can remarkably improve the effectiveness of detection and contact tracing. The proposed method is expected to provide theoretical guidance for coping with the COVID-19 or other emergent epidemics.

Suggested Citation

  • Hong, Xiao & Han, Yuexing & Wang, Bing, 2023. "Impacts of detection and contact tracing on the epidemic spread in time-varying networks," Applied Mathematics and Computation, Elsevier, vol. 439(C).
    • Handle: RePEc:eee:apmaco:v:439:y:2023:i:c:s0096300322006749
    DOI: 10.1016/j.amc.2022.127601
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    1. Manon Ragonnet-Cronin & Olivia Boyd & Lily Geidelberg & David Jorgensen & Fabricia F. Nascimento & Igor Siveroni & Robert A. Johnson & Marc Baguelin & Zulma M. Cucunubá & Elita Jauneikaite & Swapnil M, 2021. "Genetic evidence for the association between COVID-19 epidemic severity and timing of non-pharmaceutical interventions," Nature Communications, Nature, vol. 12(1), pages 1-7, December.
    2. Luis E C Rocha & Fredrik Liljeros & Petter Holme, 2011. "Simulated Epidemics in an Empirical Spatiotemporal Network of 50,185 Sexual Contacts," PLOS Computational Biology, Public Library of Science, vol. 7(3), pages 1-9, March.
    3. Chen, Yahong & Huang, He, 2022. "Modeling the impacts of contact tracing on an epidemic with asymptomatic infection," Applied Mathematics and Computation, Elsevier, vol. 416(C).
    4. Huang, He & Chen, Yahong & Yan, Zhijun, 2021. "Impacts of social distancing on the spread of infectious diseases with asymptomatic infection: A mathematical model," Applied Mathematics and Computation, Elsevier, vol. 398(C).
    5. Soya Miyoshi & Marko Jusup & Petter Holme, 2021. "Flexible imitation suppresses epidemics through better vaccination," Journal of Computational Social Science, Springer, vol. 4(2), pages 709-720, November.
    6. Yang, Zimo & Cui, Ai-Xiang & Zhou, Tao, 2011. "Impact of heterogeneous human activities on epidemic spreading," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(23), pages 4543-4548.
    7. Alberto Aleta & David Martín-Corral & Ana Pastore y Piontti & Marco Ajelli & Maria Litvinova & Matteo Chinazzi & Natalie E. Dean & M. Elizabeth Halloran & Ira M. Longini Jr & Stefano Merler & Alex Pen, 2020. "Modelling the impact of testing, contact tracing and household quarantine on second waves of COVID-19," Nature Human Behaviour, Nature, vol. 4(9), pages 964-971, September.
    8. G. Cencetti & G. Santin & A. Longa & E. Pigani & A. Barrat & C. Cattuto & S. Lehmann & M. Salathé & B. Lepri, 2021. "Digital proximity tracing on empirical contact networks for pandemic control," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    9. Kumar Das, Dhiraj & Khatua, Anupam & Kar, T.K. & Jana, Soovoojeet, 2021. "The effectiveness of contact tracing in mitigating COVID-19 outbreak: A model-based analysis in the context of India," Applied Mathematics and Computation, Elsevier, vol. 404(C).
    10. Wang, Huan & Ma, Chuang & Chen, Han-Shuang & Zhang, Hai-Feng, 2021. "Effects of asymptomatic infection and self-initiated awareness on the coupled disease-awareness dynamics in multiplex networks," Applied Mathematics and Computation, Elsevier, vol. 400(C).
    11. Kaiyuan Sun & Andrea Baronchelli & Nicola Perra, 2015. "Contrasting effects of strong ties on SIR and SIS processes in temporal networks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 88(12), pages 1-8, December.
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