Evidence map›Paper›PMID 37020522›Full record

ArticleEmerging trends in drugs, addictions, and health2023

Profiling the vendors of COVID-19 related product on the Darknet: An observational study.

Valeria Catalani, Honor D Townshend, Mariya Prilutskaya, Andres Roman-Urrestarazu, Robin van Kessel, Robert P Chilcott, Hani Banayoti, Tim McSweeney, Ornella Corazza

Abstract read
In one paragraph

Article in Emerging trends in drugs, addictions, and health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. A scoping review and expert consensus on digital determinants of health.Bulletin of the World Health Organization · 2025
    Article
  3. Strengthening Cybersecurity for Patient Data Protection in Europe.Journal of medical Internet research · 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

9 authors.

Valeria CatalaniSchool of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom.
Honor D TownshendSchool of Law, University of Hertfordshire, Hatfield, United Kingdom.
Mariya PrilutskayaDepartment of Personalised Medicine, Pavlodar Branch of Semey Medical University, Pavlodar, Kazakhstan.
Andres Roman-UrrestarazuDepartment of International Health, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands.
Robin van KesselDepartment of International Health, Care and Public Health Research Institute (CAPHRI), Faculty of Health, Medicine and Life Sciences, Maastricht University, Maastricht, the Netherlands.
Robert P ChilcottSchool of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom.
Hani BanayotiCybersolace Limited, London, United Kingdom.
Tim McSweeneySchool of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom.
Ornella CorazzaSchool of Life and Medical Sciences, University of Hertfordshire, Hatfield, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In a time of unprecedented global change, the COVID-19 pandemic has led to a surge in demand of COVID-19 vaccines and related certifications. Mainly due to supply shortages, counterfeit vaccines, fake documentation, and alleged cures to illegal portfolios, have been offered on darkweb marketplaces (DWMs) with important public health consequences. We aimed to profile key DWMs and vendors by presenting some in-depth case studies. Methods: A non-systematic search for COVID-19 products was performed across 118 DWMs. Levels of activity, credibility, content, COVID-19 product listings, privacy protocols were among the features retrieved. Open web fora and other open web sources were also considered for further analysis of both functional and non functional DWMs. Collected data refers to the period between January 2020 and October 2021. Results: A total of 42 relevant listings sold by 24 vendors across eight DWMs were identified. Four of these markets were active and well-established at the time of the study with good levels of credibility. COVID-19 products were listed alongside other marketplace content. Vendors had a trusted profile, communicated in English language and accepted payments in cryptocurrencies (Monero or Bitcoin). Their geographical location included the USA, Asia and Europe. While COVID-19 related goods were mostly available for regional supply, other listings were also shipped worldwide. Interpretation: Findings emerging from this study rise important questions about the health safety of certain DWMs activities and encourage the development of targeted interventions to overcome such new and rapidly expanding public health threats. Funding: CovSaf, National Research centre on Privacy, Harm Reduction and Adversarial Influence Online (REPHRAIN), Commonwealth Fund.

Indexed as

COVID-19 CertificatesDarknetIllicit goodsPublic HealthVaccines

Identifiers

PMID37020522
PMCPMC10030259

What OpenQuestion holds

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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.