RMIT University
Browse

Epidemic Models of Contact Tracing: Systematic Review of Transmission Studies of Severe Acute Respiratory Syndrome and Middle East Respiratory Syndrome

journal contribution
posted on 2024-11-02, 23:19 authored by Kin Kwok, Kwok Hung TangKwok Hung Tang, Vivian Wei, Woo Hyun Park, Eng Kiong Yeoh, Steven Riley
The emergence and reemergence of coronavirus epidemics sparked renewed concerns from global epidemiology researchers and public health administrators. Mathematical models that represented how contact tracing and follow-up may control Severe Acute Respiratory Syndrome (SARS) and Middle East Respiratory Syndrome (MERS) transmissions were developed for evaluating different infection control interventions, estimating likely number of infections as well as facilitating understanding of their likely epidemiology. We reviewed mathematical models for contact tracing and follow-up control measures of SARS and MERS transmission. Model characteristics, epidemiological parameters and intervention parameters used in the mathematical models from seven studies were summarized. A major concern identified in future epidemics is whether public health administrators can collect all the required data for building epidemiological models in a short period of time during the early phase of an outbreak. Also, currently available models do not explicitly model constrained resources. We urge for closed-loop communication between public health administrators and modelling researchers to come up with guidelines to delineate the collection of the required data in the midst of an outbreak and the inclusion of additional logistical details in future similar models.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1016/j.csbj.2019.01.003
  2. 2.
    ISSN - Is published in 20010370

Journal

Computational and Structural Biotechnology Journal

Volume

17

Start page

186

End page

194

Total pages

9

Publisher

Elsevier B.V.

Place published

Amsterdam, The Netherlands

Language

English

Copyright

© 2019 Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology. Creative Commons Attribution License.

Former Identifier

2006121141

Esploro creation date

2023-04-16

Usage metrics

    Scholarly Works

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC