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Enregistrement W3023796674 · doi:10.1111/jphs.12357

Some lessons from the COVID‐19 pandemic

2020· editorial· en· W3023796674 sur OpenAlexaboutno aff
Albert I. Wertheimer

Notice bibliographique

RevueJournal of Pharmaceutical Health Services Research · 2020
Typeeditorial
Langueen
DomainePsychology
ThématiqueCOVID-19 and Mental Health
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMedicinePandemicCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VirologyOutbreakInternal medicineInfectious disease (medical specialty)

Résumé

récupéré en direct d'OpenAlex

Now and then, over the past dozen years or so, one might hear a random comment about how precarious it is to be nearly completely dependent on the drug supply from distant countries. Yet, nothing was done because it appeared to nearly all that the global trade system was functioning properly and Americans as well as citizens in the European Union seem to have an adequate supply of the medications they needed at quite attractive prices. Now in 2020, this concern has moved from a theoretical question of concern to an actual problem that might have consequences for millions worldwide. The virus first was observed in China where it became so prevalent that many factories and distribution facilities were paralysed due to employee illness and absence causing closures for anywhere from a few weeks to several months. Now, we can look back with perfect 20 : 20 hindsight and realize that putting all of our (proverbial) eggs in one basket was not such a good idea. In the USA and in the EU, over 80% of the prescribed medications are from generic sources. The sellers of these generic drugs purchase the active ingredients (API) from firms primarily in China and India, and formulate the final dosage form locally, dependent upon foreign, imported ingredients. Now, we are coming to the conclusion that it makes sense to perhaps pay a little more to reactivate a domestic pharmaceutical synthesis and generic manufacturing capability in the USA and in the EU. Western governments can give tax and other financial incentives for firms building domestic capacity. For example, during World War II in the 1940s, Norway had virtually no domestic pharmaceutical production capacity and was forced to endure shortages of numerous critical medications. Their lesson was to see that such shortages would never occur again by the creation of a government-owned system of warehouses that would hold approximately a three-month supply given the usual levels of consumption. More recently, the US Food and Drug Administration (FDA) and the European Medicines Agency (EMA) have agreed to a mutual recognition scheme where products not registered in one area can be imported from the other area, since it assumes that the drug marketing approval process is of approximately equal rigour on both sides of the Atlantic Ocean. But, if every country relies on API from the same blocked source in China, that is of no help. Recently, the Indian government has suggested banning the export of hydroxychloroquine which may provide some benefit to COVID-19 patients. Understandably, they desire to have an adequate supply for their own population. Given the unpredictability of crises requiring foreign-sourced drugs, it makes perfect sense to foster a domestic capacity. What country would be satisfied having to purchase all of its military equipment and weapons from other countries that might not always align with US or EU national policies? So, in summary, it might be that no one was harmed by our foreign drug dependence this time, but kicking the can down the street for some future administration to deal with in the future is not acceptable. We must demand the creation of local pharmaceutical (API) productive capacity in the very near future, and it does not have to entirely exist within one single country. For example, Canada, the USA and Mexico could share such a plan, as could several countries in Europe with long-standing friendships.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,008
score de la tête « metaresearch » (Gemma)0,022
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,020
Score d'incertitude au seuil0,067

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0080,022
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0040,008
Communication savante0,0080,017
Science ouverte0,0020,004
Intégrité de la recherche0,0130,023
Charge utile insuffisante (le modèle a refusé de juger)0,0200,006

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.

Tête enseignante Opus0,439
Tête enseignante GPT0,659
Écart entre enseignants0,220 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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