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Enregistrement W3196200553 · doi:10.1016/j.lana.2021.100043

The Prevention of Common Respiratory Virus Epidemics in 2020-21 during the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Pandemic: An Unexpected Benefit of the Implementation of Public Health Measures

2021· article· en· W3196200553 sur OpenAlexaboutno aff
Vasanthi Avadhanula, Pedro A. Piedra

Notice bibliographique

RevueThe Lancet Regional Health - Americas · 2021
Typearticle
Langueen
DomaineMedicine
ThématiqueInfection Control and Ventilation
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPandemicCoronavirus disease 2019 (COVID-19)Respiratory systemSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)CoronavirusMedicineVirologyPublic health2019-20 coronavirus outbreakBetacoronavirusVirusSevere acute respiratory syndrome coronavirusIntensive care medicineInternal medicineOutbreakDiseaseInfectious disease (medical specialty)Pathology

Résumé

récupéré en direct d'OpenAlex

Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has spread globally causing an unprecedented public health crisis. Transmission of SARS-CoV-2 occurs primarily by respiratory droplets expelled by infected persons [1Stadnytskyi V Bax CE Bax A Anfinrud P. The airborne lifetime of small speech droplets and their potential importance in SARS-CoV-2 transmission.Proc Natl Acad Sci U S A. 2020; 117 (Available atAccessed 4 November 2020): 11875-11877https://doi.org/10.5281/zenodo.3770559Crossref PubMed Scopus (0) Google Scholar]. In order to curb the transmission of SARS-CoV-2, governments across the globe have resorted to non-pharmaceutical intervention (NPI) strategies. These containment measures include imposing large-scale lockdowns, quarantining infected persons, implementing travel restrictions, and recommending personal protective measures such as hand hygiene, wearing masks and social distancing. These NPIs have helped reduce the SARS-CoV-2 infection rates by 30-70% depending on the region surveyed, the severity of the epidemic and the containment measures used [2Cowling BJ Ali ST Ng TWY et al.Impact assessment of non-pharmaceutical interventions against coronavirus disease 2019 and influenza in Hong Kong: an observational study.Lancet Public Heal. 2020; 5: e279-e288Summary Full Text Full Text PDF PubMed Scopus (792) Google Scholar, 3Rader B White LF Burns MR et al.Mask-wearing and control of SARS-CoV-2 transmission in the USA: a cross-sectional study.Lancet Digit Heal. 2021; 3: e148-e157Summary Full Text Full Text PDF PubMed Scopus (174) Google Scholar], and have the potential to effect the transmission of other common respiratory viruses. In this issue of the Journal, Groves et al present data on the impact of the SARS-CoV-2 pandemic on laboratory confirmed detection of the common respiratory viruses in Canada [4Groves HE Piche-Renaud PP Peci A et al.The impact of the COVID-19 pandemic on influenza, respiratory syncytial virus and other seasonal respiratory virus circulation in Canada: a population-based study.The Lancet Regional Health – Americas. 2021; https://doi.org/10.1016/j.lana.2021.100015Summary Full Text Full Text PDF Scopus (127) Google Scholar]. These included influenza virus types A and B, respiratory syncytial virus (RSV), parainfluenza virus types 1, 2, 3 and 4 (PIVs), human metapneumovirus (hMPV), the human endemic coronaviruses (hCoV-NL63, hCoV-HKU1, hCoV-229E and hCoV-OC43), adenovirus (AV) and human rhinovirus/enterovirus (hRV/EV). The common respiratory virus detection was collected from the Canada Respiratory Virus Detection Surveillance System during 5 pre-pandemic respiratory virus seasons (2014-2019) and compared to the detection rate during the 2020-2021 season when NPI was implemented in Canada. Similar to recent report by the Centers for Disease Control and Prevention (CDC) National Respiratory and Enteric Virus Surveillance System [5Olsen SJ Winn AK Budd AP et al.Changes in Influenza and Other Respiratory Virus Activity During the COVID-19 Pandemic — United States, 2020–2021.MMWR. 2021; 70: 1013-1019Crossref PubMed Scopus (281) Google Scholar], Groves et al detected a near absence of the common respiratory virus epidemics with the exception of the non-enveloped viruses, hRV/EV. Respiratory virus outbreaks are often seasonal and the timing of outbreaks can vary depending on region and climate. In temperate regions, the enveloped RNA viruses RSV, influenza virus, hMPV, and hCoV have a peak incidence in the fall and winter months, while PIVs circulate in the fall and spring-summer months. The non-enveloped viruses, AV and HRV/EV, infect year-round. In addition, most respiratory viruses can infect simultaneously or sequentially leading to co-viral infections. During a typical respiratory virus season, co-infections with two or more viruses can occur ranging between 15-51% in children and 5-30% in adults. Studies in the early period of the SARS-CoV-2 pandemic demonstrated that infections with non-SARS-CoV-2 viruses ranged from 10-52% [6Pigny F Wagner N Rohr M et al.Viral co-infections among SARS-CoV-2-infected children and infected adult household contacts.Eur J Pediatr. 2021; 180 (Available at) (Accessed 14 May 2021)https://pubmed.ncbi.nlm.nih.gov/33502627/Crossref PubMed Scopus (16) Google Scholar]. In all of these studies, the percentage of infections with other viruses substantially decreased as the prevalence of SARS-CoV-2 increased. Few studies have been done in the later part of the SARS-CoV-2 pandemic when NPI strategies for community spread of SARS-CoV-2 were more prevalent, and when there was a surge in COVID-19 cases. Epidemiological data from the U.S. CDC show a near absence of the common respiratory viruses during the 2020-21 respiratory virus season when NPI strategies were in effect, however, after NPI strategies were lifted there has been a summer surge of RSV, and PIV and hCoVs activities are returning to prepandemic levels [5Olsen SJ Winn AK Budd AP et al.Changes in Influenza and Other Respiratory Virus Activity During the COVID-19 Pandemic — United States, 2020–2021.MMWR. 2021; 70: 1013-1019Crossref PubMed Scopus (281) Google Scholar]. In Southampton, U.K. circulation of hRV dropped to near zero levels after nationwide lock downs and school closings, but as the schools and country partially reopened the circulation of hRV returned to pre-pandemic levels [7Poole S Brendish NJ Tanner AR Clark TW. Physical distancing in schools for SARS-CoV-2 and the resurgence of rhinovirus.Lancet Respir. Med. 2020; 8 (Available at: /pmc/articles/PMC7581315/. Accessed 1 May 2021): e92-e93Summary Full Text Full Text PDF PubMed Scopus (81) Google Scholar]. Studies from Western Australia showed dramatic reductions in RSV and influenza virus circulation during the winter of 2020, but an intense spike of RSV infections in the summer, effectively changing the seasonal epidemiology of RSV [8Yeoh DK Foley DA Minney-Smith CA et al.Impact of Coronavirus Disease 2019 Public Health Measures on Detections of Influenza and Respiratory Syncytial Virus in Children During the 2020 Australian Winter.Clin Infect Dis. 2021; 72 (Available at) (Accessed 14 May 2021): 2199-2202https://pubmed.ncbi.nlm.nih.gov/32986804/Crossref PubMed Scopus (282) Google Scholar]. This summer surge was attributed to the opening of schools, removal of restrictions, waning immunity and possibly a larger RSV naïve population. Viral interference is another factor attributed to the appearance and disappearance of viruses in the community. Different respiratory viruses reach their epidemic peaks at different times, perhaps due to viral interference. During the 1918 pandemic, increased cases of influenza led to a low incidence of measles. Similarly, infection with rhinovirus reduced caseloads for influenza A (H1N1) 2009 during the 2009 H1N1 pandemic [9Ånestad G Nordbø SA Virus interference. Did rhinoviruses activity hamper the progress of the 2009 influenza A (H1N1) pandemic in Norway?.Med Hypotheses. 2011; 77 (Available at) (Accessed 14 May 2021): 1132-1134https://pubmed.ncbi.nlm.nih.gov/21975051/Crossref PubMed Scopus (55) Google Scholar]. Viruses can induce an overall anti-viral state and outcompete or interfere with other viruses in a concomitant infection [10Piedra PA Gaglani MJ Kozinetz CA et al.Trivalent live attenuated intranasal influenza vaccine administered during the 2003-2004 influenza type A (H3N2) outbreak provided immediate, direct, and indirect protection in children.Pediatrics. 2007; 120 (Available at) (Accessed 14 May 2021): e553-e564https://pubmed.ncbi.nlm.nih.gov/17698577/Crossref PubMed Scopus (111) Google Scholar]. This has been well described for influenza. It remains to be determined how the current pandemic has affected the incidence of other respiratory viruses and therefore altered the respiratory viral epidemiology in the coming years. There remains many unanswered questions, however, what we have learned is that NPI strategies will be an important component of future respiratory virus pandemic control, and can have an added benefit in the control of common respiratory virus epidemics. Both authors contributed equally. The authors declared no conflicts of interest. OS recently joined PAHO as HIV treatment advisor. This work received no funding.

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)0,004
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,171
Score d'incertitude au seuil0,546

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0040,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,198
Tête enseignante GPT0,443
Écart entre enseignants0,246 · 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 tête enseignante, pas un consensus.

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

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

En bref

Citations15
Publié2021
Routes d'admission1
Résumé présentoui

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