Evidence map›Paper›PMID 38946444›Full record

SynthesisEuropean journal of public health2024

The role of digital tools and emerging devices in COVID-19 contact tracing during the first 18 months of the pandemic: a systematic review.

Brigid Unim, Irisa Zile-Velika, Zane Pavlovska, Luis Lapao, Mariana Peyroteo, Janis Misins, Maria João Forjaz, Paulo Nogueira, Tiziana Grisetti, Luigi Palmieri

Abstract readSystematic Review
In one paragraph

Synthesis in European journal of public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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.

Brigid UnimDepartment of Cardiovascular, Endocrine-metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome, Italy.
Irisa Zile-VelikaCentre for Disease Prevention and Control of Latvia, Riga, Latvia.
Zane PavlovskaCentre for Disease Prevention and Control of Latvia, Riga, Latvia.
Luis LapaoUNIDEMI, Department of Mechanical and Industrial Engineering, NOVA School of Science and Technology, Universidade Nova de Lisboa, Caparica, Portugal.
Mariana PeyroteoUNIDEMI, Department of Mechanical and Industrial Engineering, NOVA School of Science and Technology, Universidade Nova de Lisboa, Caparica, Portugal.ORCID 0000-0003-4976-2826
Janis MisinsCentre for Disease Prevention and Control of Latvia, Riga, Latvia.
Maria João ForjazNational Center of Epidemiology, Health Institute Carlos III and RICAPPS, Madrid, Spain.ORCID 0000-0003-3935-962X
Paulo NogueiraCHRC, National School of Public Health, Nova de Lisboa University, Lisbon, Portugal.
Tiziana GrisettiDepartment of Cardiovascular, Endocrine-metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome, Italy.
Luigi PalmieriDepartment of Cardiovascular, Endocrine-metabolic Diseases and Aging, Istituto Superiore di Sanità, Rome, Italy.ORCID 0000-0002-4298-2642

Funding

European Union's Horizon 2020 research and innovation programme 101018317
6 · The paper itself

Abstract

backgroundContact tracing is a public health intervention implemented in synergy with other preventive measures to curb epidemics, like the coronavirus pandemic. The development and use of digital devices have increased worldwide to enhance the contact tracing process. The aim of the study was to evaluate the effectiveness and impact of tracking coronavirus disease 2019 (COVID-19) patients using digital solutions.

methodsObservational studies on digital contact tracing (DCT), published 2020-21, in English were identified through a systematic literature review performed on nine online databases. An ad hoc form was used for data extraction of relevant information. Quality assessment of the included studies was performed with validated tools. A qualitative synthesis of the findings is reported.

resultsOver 8000 records were identified and 37 were included in the study: 24 modelling and 13 population-based studies. DCT improved the identification of close contacts of COVID-19 cases and reduced the effective reproduction number of COVID-19-related infections and deaths by over 60%. It impacted positively on societal and economic costs, in terms of lockdowns and use of resources, including staffing. Privacy and security issues were reported in 27 studies.

conclusionsDCT contributed to curbing the COVID-19 pandemic, especially with the high uptake rate of the devices and in combination with other public health measures, especially conventional contact tracing. The main barriers to the implementation of the devices are uptake rate, security and privacy issues. Public health digitalization and contact tracing are the keys to countries' emergency preparedness for future health crises.

Indexed as

Contact TracingCOVID-19PandemicsSARS-CoV-2Digital TechnologyHumansPublic Health

Identifiers

PMID38946444
PMCPMC11215323

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Registered trials

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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.