Quantifying the impact of contact tracing interview prioritisation strategies on disease transmission: A modelling study

Contact tracing is an important public health measure used to reduce transmission of infectious diseases. Contact tracers typically conduct telephone interviews with cases to identify contacts and direct them to quarantine, with the aim of preventing onward transmission. However, in situations where caseloads exceed the capacity of the public health system, timely interviews may not be feasible for all cases. Here we present a modelling framework for assessing the impact of different case interview prioritisation strategies on disease transmission. Our model is based on Australian contact tracing procedures and informed by contact tracing data on COVID-19 cases notified in Australia from 2020 to 2021. Our results demonstrate that last-in-first-out strategies (where cases with the most recent swab or notification dates are interviewed first) are more effective at reducing transmission than first-in-first-out strategies (where cases with the oldest swab or notification dates are interviewed first) or strategies with no explicit prioritisation. To maximise the public health benefit from a given case interview capacity, public health practitioners may consider our findings when designing case interview prioritisation protocols for outbreak response.

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Publication Details

Journal
PLoS Computational Biology
Published
2025-04-04
DOI
https://doi.org/10.1371/journal.pcbi.1012906
Primary Topic
COVID-19 epidemiological studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantifying the impact of contact tracing interview prioritisation strategies on disease transmission: A modelling study

Jodie McVernon, James M. McCaw, Nicholas Tierney, Kylie Carville et al.
PLoS Computational Biology
COVID-19 epidemiological studies
article

Quantifying the impact of contact tracing interview prioritisation strategies on disease transmission: A modelling study

Jodie McVernon, James M. McCaw, Nicholas Tierney, Kylie Carville, Freya M. Shearer, Logan Wu, Nick Golding, Christopher M. Baker
article en

Abstract

Contact tracing is an important public health measure used to reduce transmission of infectious diseases. Contact tracers typically conduct telephone interviews with cases to identify contacts and direct them to quarantine, with the aim of preventing onward transmission. However, in situations where caseloads exceed the capacity of the public health system, timely interviews may not be feasible for all cases. Here we present a modelling framework for assessing the impact of different case interview prioritisation strategies on disease transmission. Our model is based on Australian contact tracing procedures and informed by contact tracing data on COVID-19 cases notified in Australia from 2020 to 2021. Our results demonstrate that last-in-first-out strategies (where cases with the most recent swab or notification dates are interviewed first) are more effective at reducing transmission than first-in-first-out strategies (where cases with the oldest swab or notification dates are interviewed first) or strategies with no explicit prioritisation. To maximise the public health benefit from a given case interview capacity, public health practitioners may consider our findings when designing case interview prioritisation protocols for outbreak response.

PLoS Computational BiologyVol. 21(4)
The University of Melbourne (AU), The Kids Research Institute Australia (AU), Walter and Eliza Hall Institute of Medical Research (AU), Curtin University (AU), Peter Doherty Institute (AU)
Department of Health and Aged Care, Australian Government, National Health and Medical Research Council
Good health and well-being
Openalex Percentile: Top 92%
COVID-19 epidemiological studies
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