Evidence map›Paper›PMID 37146140›Full record

ArticleScience advances2023

Quantifying the impact of individual and collective compliance with infection control measures for ethical public health policy.

Daniel Roberts, Euzebiusz Jamrozik, George S Heriot, Anja C Slim, Michael J Selgelid, Joel C Miller

Abstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. The theory of epidemics with altruism.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  3. Article
  4. Article
  5. Herd immunity, vaccination and moral obligation.Journal of medical ethics · 2023
    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

6 authors.

Daniel RobertsRoyal Melbourne Institute of Technology, Melbourne, VIC, Australia.ORCID 0000-0002-1532-9496
Euzebiusz JamrozikUniversity of Oxford, Oxford, UK.ORCID 0000-0001-5940-602X
George S HeriotUniversity of Melbourne, Melbourne, VIC, Australia.ORCID 0000-0002-5337-5944
Anja C SlimMonash University, Melbourne, VIC, Australia.
Michael J SelgelidIndependent researcher.
Joel C MillerLa Trobe University, Melbourne, VIC, Australia.ORCID 0000-0003-4426-0405

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infectious disease control measures often require collective compliance of large numbers of individuals to benefit public health. This raises ethical questions regarding the value of the public health benefit created by individual and collective compliance. Answering these requires estimating the extent to which individual actions prevent infection of others. We develop mathematical techniques enabling quantification of the impacts of individuals or groups complying with three public health measures: border quarantine, isolation of infected individuals, and prevention via vaccination/prophylaxis. The results suggest that (i) these interventions exhibit synergy: They become more effective on a per-individual basis as compliance increases, and (ii) there is often substantial "overdetermination" of transmission. If a susceptible person contacts multiple infectious individuals, an intervention preventing one transmission may not change the ultimate outcome (thus, risk imposed by some individuals may erode the benefits of others' compliance). These results have implications for public health policy during epidemics.

Indexed as

EpidemicsInfection ControlHealth PolicyHumansPublic HealthQuarantine

Identifiers

PMID37146140
PMCPMC10162661

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.