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The Relative Importance of Vulnerability and Efficiency in COVID-19 Contact Tracing Programmes: A Discrete Choice Experiment

  • Yi Wang
  • , Dian Faradiba*
  • , Victor J. Del Rio Vilas
  • , Miqdad Asaria
  • , Yu Ting Chen
  • , Joseph Brian Babigumira
  • , Saudamini Vishwanath Dabak
  • , Hwee Lin Wee
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Objectives: This study aims to assess the trade-offs between vulnerability and efficiency attributes of contact tracing programmes based on preferences of COVID-19 contact tracing practitioners, researchers and other relevant stakeholders at the global level. Methods: We conducted an online discrete choice experiment (DCE). Respondents were recruited globally to explore preferences according to country income level and the prevailing epidemiology of COVID-19 in the local setting. The DCE attributes represented efficiency (timeliness, completeness, number of contacts), vulnerability (vulnerable population), cooperation and privacy. A mixed-logit model and latent class analysis were used. Results: The number of respondents was 181. Timeliness was the most important attribute regardless of country income level and COVID-19 epidemiological condition. Vulnerability of contacts was the second most important attribute for low-to-lower-middle-income countries and third for upper-middle-to-high income countries. When normalised against conditional relative importance of timeliness, conditional relative importance of vulnerability ranged from 0.38 to 0.42. Conclusion: Vulnerability and efficiency criteria were both considered to be important attributes of contact tracing programmes. However, the relative values placed on these criteria varied significantly between epidemiological and economic context.

Original languageEnglish
Article number1604958
JournalInternational Journal of Public Health
Volume67
DOIs
Publication statusPublished - 20 Jul 2022
Externally publishedYes

Bibliographical note

Publisher Copyright:
Copyright © 2022 Wang, Faradiba, Del Rio Vilas, Asaria, Chen, Babigumira, Dabak and Wee.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • COVID-19
  • contact tracing
  • discrete choice experiment (DCE)
  • efficiency
  • vulnerability

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