Evidence map›Paper›PMID 42776657›Full record

ArticleInfectious disease reports2026

Dating Applications as HIV Prevention Ecosystems in the Era of Digital Sexual Networks.

Francesco De Maria, Paolo Fusco, Alessandro Russo

Abstract read
In one paragraph

Article in Infectious disease reports, 2026. 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

3 authors.

Francesco De MariaInfectious and Tropical Diseases Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, 88100 Catanzaro, Italy.ORCID 0009-0004-9687-4841
Paolo FuscoInfectious and Tropical Diseases Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, 88100 Catanzaro, Italy.ORCID 0000-0002-3949-4293
Alessandro RussoInfectious and Tropical Diseases Unit, Department of Medical and Surgical Sciences, "Magna Graecia" University of Catanzaro, 88100 Catanzaro, Italy.ORCID 0000-0003-3846-4620

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dating applications have become central components of contemporary sexual networks, yet HIV prevention remains largely organised outside these digital environments. We propose that dating applications should be conceptualised as potential HIV and sexual health prevention ecosystems, connecting testing, PrEP and PEP navigation, STI services, vaccination, telemedicine, partner notification, behavioural support, and artificial intelligence-enabled health navigation. Existing evidence supports the effectiveness of many of these digital interventions individually, while emerging integrated models suggest opportunities to connect digital engagement with real-world care pathways. Artificial intelligence may provide an additional navigation layer capable of improving personalisation and continuity across prevention services. However, implementation will require careful attention to privacy, governance, equity, healthcare accessibility, and differences across health systems. Rather than replacing existing healthcare services, digital prevention ecosystems could complement them by bringing prevention closer to the environments where sexual interactions increasingly originate.

Indexed as

artificial intelligencedating applicationsdigital health ecosystemsdigital medicineHIV preventionInfectious diseasessexual health

Identifiers

PMID42776657
PMCPMC13600133

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.