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Enregistrement W4394753455 · doi:10.3389/fviro.2024.1407621

Editorial: SARS-CoV-2: virology, epidemiology, diagnosis, pathogenesis, and control

2024· editorial· en· W4394753455 sur OpenAlexaff
Severino Jefferson Ribeiro da Silva, Sachin Kumar, Lindomar Pena

Notice bibliographique

RevueFrontiers in Virology · 2024
Typeeditorial
Langueen
DomaineMedicine
ThématiqueCOVID-19 Clinical Research Studies
Établissements canadiensUniversity of Toronto
Organismes subventionnairesnon disponible
Mots-clésSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VirologyCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakEpidemiologySars virusCoronavirus InfectionsMedicinePandemicPathologyOutbreakInfectious disease (medical specialty)

Résumé

récupéré en direct d'OpenAlex

The rapid spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in the most severe public health challenge since the 1918 Spanish influenza pandemic 1 . Consequently, the crisis caused by the coronavirus disease 2019 (COVID-19) has massively impacted global public health, which has rapidly called for public health authorities and scientists to improve our knowledge about this condition 2 . In this Research Topic, we serve as Editors and our primary goal was to gather knowledge about the virology of SARS-CoV-2 and different aspects of COVID-19, including epidemiology, pathogenesis, diagnosis, and control. Below, we provide a brief context of the published studies, including 19 original articles, three narrative reviews, and one systematic review.During the course of the COVID-19 pandemic, the emergence of SARS-CoV-2 variants has been associated with evasion of immunity from natural infection and vaccinations, reduced susceptibility to therapies, increased transmissibility, risk of reinfection, and disease severity 1,[3][4][5][6][7] , resulting in a tremendous challenge to controlling the pandemic phase 8 . Within this perspective, the rapid spread of SARS-CoV-2 variants worldwide has been associated with a series of waves, as reported in many countries worldwide. To understand this impact in Santiago (Chile), Acuña-Castillo et al. showed that the highest rate of reinfections described during the fourth and fifth COVID-19 waves in Santiago was primarily driven by the omicron variant, where the interval between initial infection and reinfection was found to be 372 days. In the context of the epidemiology of COVID-19 cases, Zhang et al. Accurated COVID-19 diagnosis and testing have shown to be key for disease control, especially before vaccines were widely available 2,12 . However, diagnostics also play important role in other contexts. Thus, Acuña-Castillo did and ecological study on COVID-19 reinfection in Chile using RT-PCR data information from over 300 thousand individuals tested between 2020 and 2022.They found that the highest rate of reinfections took place during the fourth and fifth COVID-19 waves and was primarily driven by the Omicron variant. The a reinfection rate was 1.52 per 100,000 inhabitants and the interval between initial infection and reinfection was found to be close to one year.Serological tests were of limited value for clinical decision-making and implementation of patient isolation and quarantine 12 . However, SARS-CoV-2 specific antibodies are major players in the immune defense against COVID-19.To address this, Kaufman and coalleagues conducted a retrospective study to estimate the association between SARS-CoV-2 spike-protein targeted antibody levels and clinically outcomes in a cohort of almost 200 thousand patients.Individuals with detectable SARS-CoV-2 antibody levels were less prone to be infected by SARS-CoV-2 and had lower risk of developing serious disease upon infection.In a rapidly moving field of study, several articles have evaluated the effectiveness of available vaccines against SARS-CoV-2 variants, especially within the emergence of omicron VOC. To address this question, Song et al. Despite the passage of four years since the beginning of the pandemic, there are still many gaps that we need to address about this devastating disease that will certainly be recorded as one of the greatest public health problems in the history of humanity. The COVID-19 pandemic has highlighted both our ability to respond and our resilience to face biothreats of this magnitude. Most importantly, the lessons acquired during the COVID-19 pandemic will be essential for dealing with future public health threats, particularly for the response against new pathogens. Through this Research Topic, we contributed to the advancement of knowledge related to COVID-19 in several aspects, including epidemiology, genomic surveillance, diagnosis, pathogenesis, and control.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,007
score de la tête « metaresearch » (Gemma)0,211
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche, Méta-épidémiologie (sens strict), Études des sciences et des technologies, Intégrité de la recherche
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: Éditorial
Score de désaccord entre enseignants0,205
Score d'incertitude au seuil0,999

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0070,211
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0050,001
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,003
Communication savante0,0000,000
Science ouverte0,0010,001
Intégrité de la recherche0,0060,006
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,029
Tête enseignante GPT0,407
Écart entre enseignants0,377 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

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
Publié2024
Routes d'admission1
Résumé présentoui

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