Evidence map›Paper›PMID 40281884›Full record

ReviewHealthcare (Basel, Switzerland)2025

Mathematical Contact Tracing Models for the COVID-19 Pandemic: A Systematic Review of the Literature.

Honoria Ocagli, Gloria Brigiari, Erica Marcolin, Michele Mongillo, Michele Tonon, Filippo Da Re, Davide Gentili, Federica Michieletto, Francesca Russo, Dario Gregori

Abstract readReview
In one paragraph

Review in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Honoria OcagliUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Via Loredan 18, 35122 Padova, Italy.ORCID 0000-0002-5823-1659
Gloria BrigiariDirectorate of Prevention, Food Safety, Veterinary Public Health, Veneto Region, 30123 Venice, Italy.ORCID 0009-0000-7274-4373
Erica MarcolinUnit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic, Vascular Sciences, and Public Health, University of Padova, Via Loredan 18, 35122 Padova, Italy.
Michele MongilloDirectorate of Prevention, Food Safety, Veterinary Public Health, Veneto Region, 30123 Venice, Italy.
Michele TononDirectorate of Prevention, Food Safety, Veterinary Public Health, Veneto Region, 30123 Venice, Italy.ORCID 0000-0002-4917-404X
Filippo Da ReDirectorate of Prevention, Food Safety, Veterinary Public Health, Veneto Region, 30123 Venice, Italy.ORCID 0009-0006-7366-0108
Davide GentiliDirectorate of Prevention, Food Safety, Veterinary Public Health, Veneto Region, 30123 Venice, Italy.ORCID 0000-0002-7852-191X
Federica MichielettoDirectorate of Prevention, Food Safety, Veterinary Public Health, Veneto Region, 30123 Venice, Italy.
Francesca RussoDirectorate of Prevention, Food Safety, Veterinary Public Health, Veneto Region, 30123 Venice, Italy.ORCID 0009-0007-9557-7361
Dario GregoriDirectorate of Prevention, Food Safety, Veterinary Public Health, Veneto Region, 30123 Venice, Italy.ORCID 0000-0001-7906-0580

Funding

Italian Ministry of Health. The study was conducted under the scope of the CCM (Centre for Diseases Control) 2020 Project "Modelli organizzativi per l'efficientamento delle attività di contact tracing" (Organizational models to improve the efficiency of contact tracing activities)
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

contact tracingCOVID-19mathematical modelssystematic review

Identifiers

PMID40281884
PMCPMC12026787

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.