{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T18:04:17Z","timestamp":1789495457290,"version":"build-2803163510"},"reference-count":27,"publisher":"Public Library of Science (PLoS)","issue":"9","license":[{"start":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T00:00:00Z","timestamp":1789430400000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100010269","name":"Wellcome Trust","doi-asserted-by":"publisher","award":["MORU-THN grant, Grant Number: 220211\/Z\/20\/Z"],"award-info":[{"award-number":["MORU-THN grant, Grant Number: 220211\/Z\/20\/Z"]}],"id":[{"id":"10.13039\/100010269","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010269","name":"Wellcome Trust","doi-asserted-by":"publisher","award":["106698\/Z\/14\/Z"],"award-info":[{"award-number":["106698\/Z\/14\/Z"]}],"id":[{"id":"10.13039\/100010269","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010269","name":"Wellcome Trust","doi-asserted-by":"publisher","award":["Biomedical Resources Grant \u2018MAPQAMP\u2019, Grant number: 202935\/Z\/16\/Z"],"award-info":[{"award-number":["Biomedical Resources Grant \u2018MAPQAMP\u2019, Grant number: 202935\/Z\/16\/Z"]}],"id":[{"id":"10.13039\/100010269","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010269","name":"Wellcome Trust","doi-asserted-by":"publisher","award":["Biomedical Resources Grant \u2018MAPQAMP\u2019, Grant number: 202935\/Z\/16\/Z"],"award-info":[{"award-number":["Biomedical Resources Grant \u2018MAPQAMP\u2019, Grant number: 202935\/Z\/16\/Z"]}],"id":[{"id":"10.13039\/100010269","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010269","name":"Wellcome Trust","doi-asserted-by":"publisher","award":["Collaborative award \u2018FORESFA\u2019, grant number: 222506\/Z\/21\/Z"],"award-info":[{"award-number":["Collaborative award \u2018FORESFA\u2019, grant number: 222506\/Z\/21\/Z"]}],"id":[{"id":"10.13039\/100010269","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000865","name":"Bill and Melinda Gates Foundation","doi-asserted-by":"publisher","award":["INV-016778"],"award-info":[{"award-number":["INV-016778"]}],"id":[{"id":"10.13039\/100000865","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["www.plosdigitalhealth.org"],"crossmark-restriction":false},"short-container-title":["PLOS Digit Health"],"abstract":"<jats:p>The circulation of substandard and falsified (SF) medical products, including medicines, vaccines, and medical devices, continues to impact health of populations worldwide. Meanwhile, surveillance of SF products and data sharing are limited in most of the world, and incidents are rarely published in accessible databases. We describe here the Medicine Quality Monitoring Globe system (MQM Globe) for capturing, curating, characterising, and disseminating online media reports relating to SF products. The system consists of the curation environment and the Web application. Online reports are acquired from search engines, direct feeds, and targeted extraction, in five languages. They then pass a series of automated content characterisation steps to filter and label them by relevance, location, and product. Reports are then reviewed by a trained curator staff, before being made available through a visualisation Web application. Over the study period from July 2018 through December 2024, we identified 11,000 relevant distinct SF incidents, across a broad range of geography, products, and categories. The automated relevance classifier exhibited precision of 37%, recall 90%, and F1-score 52%, for English-language content. The information captured by the MQM Globe is publicly available and can help inform public health authorities as situations emerge. It is the only publicly available repository of open source intelligence specifically on SF medical products. It can be used as an informational tool to trigger intelligence-led activities across law enforcement, customs and Medicine Regulatory Authorities.<\/jats:p>","DOI":"10.1371\/journal.pdig.0001648","type":"journal-article","created":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T17:26:19Z","timestamp":1789493179000},"page":"e0001648","update-policy":"https:\/\/doi.org\/10.1371\/journal.pdig.corrections_policy","source":"Crossref","is-referenced-by-count":0,"title":["The Medicine Quality Monitoring Globe: A public health intelligence system for collecting and curating reports of substandard and falsified medical products from publicly available Internet news media"],"prefix":"10.1371","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6281-219X","authenticated-orcid":true,"given":"Clark C.","family":"Freifeld","sequence":"first","affiliation":[{"name":"LexiGraph corporation","place":["Boston, Massachusetts, United States of America"]},{"name":"University of Oxford","place":["Oxford, United Kingdom"],"department":["Medicine Quality Research Group, NDM Centre for Global Health Research, Nuffield Department of Medicine"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9074-7575","authenticated-orcid":true,"given":"Kerlijn","family":"Van Assche","sequence":"additional","affiliation":[{"name":"University of Oxford","place":["Oxford, United Kingdom"],"department":["Medicine Quality Research Group, NDM Centre for Global Health Research, Nuffield Department of Medicine"]},{"name":"Mahosot Hospital","place":["Vientiane, Lao People\u2019s Democratic Republic"],"department":["Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit (LOMWRU), Microbiology Laboratory"]},{"name":"University of Oxford","place":["United Kingdom"],"department":["Infectious Diseases Data Observatory, NDM Centre for Global Health Research, Nuffield Department of Medicine"]},{"name":"University of Oxford","place":["Oxford, 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Medicine"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2026,9,15]]},"reference":[{"key":"pdig.0001648.ref001","unstructured":"World Health Organization. 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In: Advances in Neural Information Processing Systems, 2020."}],"container-title":["PLOS Digital Health"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pdig.0001648","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,15]],"date-time":"2026-09-15T17:26:29Z","timestamp":1789493189000},"score":1,"resource":{"primary":{"URL":"https:\/\/dx.plos.org\/10.1371\/journal.pdig.0001648"}},"subtitle":[],"editor":[{"given":"Jasmit","family":"Shah","sequence":"first","affiliation":[{"name":"Aga Khan University - Kenya","place":["KENYA"]}],"role":[{"vocabulary":"crossref","role":"editor"}]}],"short-title":[],"issued":{"date-parts":[[2026,9,15]]},"references-count":27,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2026,9,15]]}},"URL":"https:\/\/doi.org\/10.1371\/journal.pdig.0001648","relation":{},"ISSN":["2767-3170"],"issn-type":[{"value":"2767-3170","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,15]]}}}