Evidence map›Paper›PMID 34610549›Full record

ArticleEpidemics2021

Optimal allocation of PCR tests to minimise disease transmission through contact tracing and quarantine.

Christopher M Baker, Iadine Chades, Jodie McVernon, Andrew P Robinson, Howard Bondell

Open access · goldAbstract read
In one paragraph

Article in Epidemics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.4field-weighted citation impact, top 16% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Optimizing the detection of emerging infections using mobility-based spatial sampling.International journal of applied earth observation and geoinformation : ITC journal · 2024
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Estimation of Total Cost Required in Controlling COVID-19 Outbreaks by Financial Incentives.International journal of environmental research and public health · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 1 country.

Christopher M BakerSchool of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia; Melbourne Centre for Data Science, The University of Melbourne, Melbourne, Australia; Centre of Excellence for Biosecurity Risk Analysis, The University of Melbourne, Melbourne, Australia. Electronic address: cbaker1@unimelb.edu.au.
Iadine ChadesLand and Water, CSIRO, Ecosciences Precinct, Dutton Park, Queensland 4102, Australia.
Jodie McVernonPeter Doherty Institute for Infection and Immunity, The Royal Melbourne Hospital and The University of Melbourne, Australia; Melbourne School of Population and Global Health, University of Melbourne, Parkville, Victoria 3010, Australia; Murdoch Children's Research Institute, The Royal Children's Hospital, Melbourne, Australia.
Andrew P RobinsonCentre of Excellence for Biosecurity Risk Analysis, The University of Melbourne, Melbourne, Australia.
Howard BondellSchool of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia; Melbourne Centre for Data Science, The University of Melbourne, Melbourne, Australia.
University of Melbourne · AUCSIRO Land and Water · AUPeter Doherty Institute · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PCR testing is a crucial capability for managing disease outbreaks, but it is also a limited resource and must be used carefully to ensure the information gain from testing is valuable. Testing has two broad uses for informing public health policy, namely to track epidemic dynamics and to reduce transmission by identifying and managing cases. In this work we develop a modelling framework to examine the effects of test allocation in an epidemic, with a focus on using testing to minimise transmission. Using the COVID-19 pandemic as an example, we examine how the number of tests conducted per day relates to reduction in disease transmission, in the context of logistical constraints on the testing system. We show that if daily testing is above the routine capacity of a testing system, which can cause delays, then those delays can undermine efforts to reduce transmission through contact tracing and quarantine. This work highlights that the two goals of aiming to reduce transmission and aiming to identify all cases are different, and it is possible that focusing on one may undermine achieving the other. To develop an effective strategy, the goals must be clear and performance metrics must match the goals of the testing strategy. If metrics do not match the objectives of the strategy, then those metrics may incentivise actions that undermine achieving the objectives.

Indexed as

Contact TracingCOVID-19HumansPandemicsPolymerase Chain ReactionQuarantineSARS-CoV-2Covid-19Decision-makingEpidemiologyPublic health response

Identifiers

PMID34610549
PMCPMC8463101
OpenAlexW3203517247

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.