Tracking the 2022 monkeypox outbreak with epidemiological data in real-time
Notice bibliographique
Résumé
Monkeypox virus was first documented in humans in the 1970s and outbreaks have been reported in many countries, with most cases restricted to endemic areas.1Rimoin AW Mulembakani PM Johnston SC et al.Major increase in human monkeypox incidence 30 years after smallpox vaccination campaigns cease in the Democratic Republic of Congo.Proc Natl Acad Sci USA. 2010; 107: 16 262-16 267Crossref Scopus (246) Google Scholar In early May, 2022, monkeypox cases were reported in the UK, Spain, and elsewhere in Europe (figure, appendix).2UK Health Security AgencyMonkeypox cases confirmed in England—latest updates.https://www.gov.uk/government/news/monkeypox-cases-confirmed-in-england-latest-updatesDate: May 14, 2022Date accessed: May 25, 2022Google Scholar The pattern of geographical dispersal was much larger compared with past outbreaks that were more localised and occurred often in under-resourced communities.3Nakoune E Olliaro P Waking up to monkeypox.BMJ. 2022; 377o1321PubMed Google Scholar The size of the outbreak clusters is growing each day, as is the geographical spread across Europe and North America. Within the first week of the initial report, 24 countries reported suspected and confirmed cases of monkeypox virus, some of which had known travel links to the UK, Spain, Canada, and western Europe. As of June 5, 2022, there have been 920 confirmed and 70 suspected cases. Of 64 confirmed cases with known travel history, 32 were associated with travel from Europe, three from west Africa, two from Canada, and one from Australia. For 26 cases, travel history locations remain unknown. WHO convened a meeting of experts and technical advisory groups on May 20, 2022,4WHOWHO working closely with countries responding to monkeypox.https://www.who.int/news/item/20-05-2022-who-working-closely-with-countries-responding-to-monkeypoxDate: May 20, 2022Date accessed: May 25, 2022Google Scholar to investigate the causes of the outbreak and have released updated guidance on surveillance, case investigation, and contact tracing.5WHOSurveillance, case investigation and contact tracing for monkeypox.https://www.who.int/publications/i/item/WHO-MPX-surveillance-2022.1Date: May 22, 2022Date accessed: May 25, 2022Google Scholar The reason for the outbreak having a broader geographical reach is being investigated by the international and national public health community and the research community, contributing to a finer scale understanding of the outbreak dynamics. However, cessation of smallpox vaccination programmes, encroachment of humans into forested areas, and growing international mobility seem to be playing important roles in the epidemiology of monkeypox virus outbreaks.6Bunge EM Hoet B Chen L et al.The changing epidemiology of human monkeypox—a potential threat? A systematic review.PLoS Negl Trop Dis. 2022; 16e0010141Crossref PubMed Scopus (75) Google Scholar To support global response efforts, our team created an open-access database and visualisation to track the occurrence of cases in different countries. In addition, where available, we added information on age (aggregated into age ranges, with a minimum range of 5 years), gender, dates of symptom onset and laboratory confirmation, symptoms, locations (aggregated to the state level), travel history, and additional metadata defined by WHO.5WHOSurveillance, case investigation and contact tracing for monkeypox.https://www.who.int/publications/i/item/WHO-MPX-surveillance-2022.1Date: May 22, 2022Date accessed: May 25, 2022Google Scholar Data are compiled from verified sources, including reports from governments and public health organisations and news media reporting of health official statements. As verified information and official statements are published, we document secondary sources and update the metadata in the dataset. An on-call schedule for curators that runs 24 h a day, 7 days a week was established to ensure data are updated in near real-time. Each case is seen and discussed by at least two curators before being made available via our Global.health GitHub repository, and pushed to the map visualisation at least four times per day. During the early stages of outbreaks, obtaining reliable, synthesised data on the characteristics of cases is a challenge, especially at a global scale. Our work attempts to harmonise information across countries and provide additional data to support the epidemiological understanding of the origins and transmission dynamics of this outbreak. Ideally, these data are paired with virus genomic data and integrated directly with countries' epidemiological line-list data. In our repository, we are also working with colleagues and the WHO Hub for Pandemic and Epidemic Intelligence to define a contact data schema allowing countries and researchers to estimate and re-estimate key epidemiological parameters, such as the incubation period and serial interval, across different settings. Real-time data are necessary to plan effective control measures should this outbreak grow further. The work builds on infrastructure developed for epidemic control and pandemic preparedness and was used for the COVID-19 pandemic.7Kraemer MUG Scarpino SV Marivate V et al.Data curation during a pandemic and lessons learned from COVID-19.Nat Comput Sci. 2021; 1: 9-10Crossref Scopus (10) Google Scholar Global efforts are needed to ensure similar efforts to rapidly harmonise and publish detailed epidemiological data are supported during future outbreaks of emerging and re-emerging pathogens. This example will be a learning pathway to build better surveillance systems globally. MUGK and JSB report funding from The Rockefeller Foundation and Google.org. TdO received fees from Illumina as a member of the Infectious Disease Testing Advisory Board and received partial travel support to attend the Nobel Symposium of Medicine in May, 2022. IIB received consulting fees from BlueDot and NHL Players' Association. All other authors declare no competing interests. Download .pdf (2.09 MB) Help with pdf files Supplementary appendix
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,025 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,025 | 0,016 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 0,006 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».