Evidence map›Paper›PMID 34889315›Full record

SynthesisActa bio-medica : Atenei Parmensis2021

Public health effectiveness of digital contact tracing in the COVID-19 pandemic: A systematic review of available data.

Clara Mazza, Daniela Girardi, Leandro Gentile, Maddalena Gaeta, Carlo Signorelli, Anna Odone

Abstract readSystematic Review
In one paragraph

Synthesis in Acta bio-medica : Atenei Parmensis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Reflections after 2 years of COVID-19 pandemic.Reviews in medical virology · 2022
    Article
  8. 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.

Clara Mazza. clara.mazza01@universitadipavia.it.
Daniela GirardiSchool of Public Health, University of Pavia, Pavia, Italy. daniela.girardi01@universitadipavia.it.
Leandro GentileMedical Direction, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy. leandro.gentile01@universitadipavia.it.
Maddalena GaetaSchool of Public Health, University of Pavia, Pavia, Italy. maddalena.gaeta@unipv.it.
Carlo SignorelliSchool of Public Health, Vita-Salute San Raffaele University, Milan, Italy. signorelli.carlo@hsr.it.
Anna OdoneSchool of Public Health, University of Pavia, Pavia, Italy. anna.odone@unipv.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and aim Contact tracing is a key element of epidemiologic investigation and active surveillance during infectious diseases outbreaks. Digital contact tracing (DCT) are new technologies that have been increasingly adopted in different countries to support conventional contact tracing efforts to control the COVID-19 pandemic. However, scant evidence is available on its public health effectiveness. We applied the Indicator Framework issued in 2021 jointly by the World Health Organization (WHO) and the European Centre for Disease Prevention and Control (ECDC) to assess the available evidence on DCT adoption and impact in the context of the COVID-19 pandemic. Methods We carried out a systematic review following the PRISMA guidelines (Prospero registration number: CRD42021253662) to retrieve, pool, and critically appraise studies published in English from November 2019 to April 2021. We excluded mathematical models of effectiveness. Only studies representative of the general population or specific populations were included . In line with the WHO-ECDC indicator framework, outcomes of interest were grouped in indicators of: i) DCT use, ii) DCT success, and iii) DCT performance. Results We identified 1.201 citations searching the PubMed, Embase, Web of Science and The Cochrane Library. After screening, 10 studies were included. All included studies reported measures of DCT use, varying widely by study population and setting (percentage of DCT apps download from 0.01% to 58.3% in included studies). Almost no data quantified an association between DCT adoption rate and infection transmission at the community level.  Only one reported measures of DCT success (ratio of exposure notifications received to positive test results entered), while no studies were retrieved reporting measures of DCT performance. Conclusions DCT has large potential to control epidemics. Its adoption is hindered by several normative, technical and acceptance barriers in different regions and countries. Our review shows that while some evidence is available on its adoption and use in selected settings, very scant data is available on its effectiveness in the fight against COVID-19. As digitalization provides new tools for infection control at the population level, solid research is needed to quantify the public health effects of their application.

Indexed as

COVID-19Contact TracingHumansPandemicsPublic HealthSARS-CoV-2

Identifiers

PMID34889315
PMCPMC8851023

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.