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Enregistrement W4282943217 · doi:10.1093/jtm/taac065

Variations in respiratory syncytial virus activity following the relaxation of COVID-19 restrictions in Qatar

2022· article· en· W4282943217 sur OpenAlexaff
Andrés Pérez‐López, Hassan Al Mana, Muhammad Rafaih Iqbal, Mohammed Suleiman, Mohammad R. Hasan, Patrick Tang

Notice bibliographique

RevueJournal of Travel Medicine · 2022
Typearticle
Langueen
DomaineMedicine
ThématiqueRespiratory viral infections research
Établissements canadiensMcMaster University
Organismes subventionnairesnon disponible
Mots-clésMedicineCoronavirus disease 2019 (COVID-19)2019-20 coronavirus outbreakRespiratory systemSevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)VirologyVirusBetacoronavirusInternal medicineOutbreakInfectious disease (medical specialty)

Résumé

récupéré en direct d'OpenAlex

The introduction of non-pharmaceutical measures to mitigate the spread of coronavirus disease 2019 (COVID-19) has disrupted the seasonality of respiratory syncytial virus (RSV) worldwide. There was a near absence of RSV during the fall and winter of 2020–2021 with the implementation of restrictions, followed by an unusual re-emergence in the summer months coinciding with their relaxation.1–6 Qatar is a small country on the Arabian Peninsula with a subtropical desert climate in which RSV circulates year-round with a consistent surge between October and December.7,8 This retrospective study assessed trends in RSV infection and RSV-related disease (RSVRD) at Sidra Medicine, a paediatric tertiary-care hospital and the main referral centre for the paediatric population of Qatar, comparing a typical peak of RSV activity in October–December 2019 with the same period in 2020 and 2021, during which pandemic restrictions were relaxed. We also examined the strength and direction of association between RSV activity and indicators of national and international mobility from March 2020 to December 2021 (Supplementary Methods, Supplementary data are available at JTM online). In October–December 2019, RSV was detected in 486 of 2291 (21.2%) PCR tests performed on respiratory tract specimens. In contrast, RSV was detected in 8 (0.7%) of 1127 specimens in October–December 2020 (RR: 24.8; 95% CI, 12.4–49.8; P < 0.0001; Supplementary Figure 1, Supplementary data are available at JTM online). The likelihood of RSV-related disease (RSVRD) in the Paediatric Emergency Department (PED), Paediatric Intensive Care Unit (PICU) and General Paediatric Wards (GPW) decreased >78-fold, 57-fold and 147-fold, respectively, in October–December 2020 compared with 2019 (Supplementary Table 1, Supplementary data are available at JTM online). In October–December 2021, RSV was detected in 334 of 1496 (22.3%) specimens (RR: 1; 95% CI, 0.8–1.1; Supplementary Figure 1, Supplementary data are available at JTM online). The likelihood of RSVRD in the PED and GPW decreased 2.5-fold and 1.7-fold, respectively, in October–December 2021 compared with 2019. In contrast, the incidence rates of RSVRD in PICU remained stable during the same quarters (Supplementary Table 1, Supplementary data are available at JTM online). The median age of RSVRD patients did not vary in the last quarters of 2019 (5 months; [IQR, 1–26.5]) and 2021 (5 months; [IQR, 2–34]). RSV infections peaked between the last week of October and the first week of November in both years. Figure 1 shows monthly RSV infections and the trajectory of the monthly average of the mobility indicators. There was a strong positive correlation between RSV infections and the mobility trends for retail and recreation, and transit stations; a strong negative correlation between RSV infections and the residential index and Stringency Index (SI); and a very strong positive correlation between international visitors and RSV infections (Supplementary Table 2, Supplementary data are available at JTM online). The number of international visitors in October–December 2020 and 2021 declined by 96 and 47%, respectively, compared with 2019 (Supplementary Figure 2 and Supplementary Table 3, Supplementary data are available at JTM online). Monthly number of laboratory-confirmed RSV infections in children in Doha, Qatar, between July 2019 and December 2021. From March 2020 to December 2021, RSV infections are plotted against the Stringency Index from the Oxford COVID-19 Government Response Tracker, six community mobility indicators from the Google’s Community Mobility Reports. The first and second lockdown and travel restriction periods are marked in red, and periods of progressive lockdown and restriction lifting are marked in yellow. The dashed lines mark the progressive start of in-person school and nursery operation following restriction lifting. In mid-March 2020, Qatar implemented the COVID-19-related restrictions that included school closures, mandatory masking and an entry ban for foreign visitors. A phased relaxation of restrictions began in mid-June.17 Despite the easing of restrictions in the fourth phase between October and December 2020, including reopening of nurseries and schools in a hybrid mode, the incidence of RSV infection and RSVRD remained remarkably low (>98% decreased compared with 2019). However, following a similar relaxation of restrictions imposed in March 2021, RSV infections began increasing in late summer. By the last quarter of 2021, RSV infections and RSVRD returned to a typical pre-COVID-19 seasonal pattern in Qatar, although the total number of laboratory-confirmed infections was ~70% of that in 2019. Although the mobility indicators improved in October–December 2021 compared with 2020, the amount of change was not significant. For example, the level of SI varied from 54 to 65, within a range that is not associated with major disruptions of social activities and domestic movement.9 Conversely, there were significant differences in the international travel restrictions during autumn months in both years that could contribute to the variable incidence of RSV detection and RSVRD. Since expatriates constitute >85% of Qatar’s population, including a significant proportion from the Indian subcontinent,10 the relaxation of international travel restrictions in summer 2021 could facilitate travel to regions experiencing unusually high incidence of RSV including summertime outbreaks in Europe and North America, winter resurgence in Australia and outbreaks during the monsoons on the Indian subcontinent.1–6 Thus it is possible that the earlier onset of the RSV season in Qatar in late summer 2021 (Figure 1 and Supplementary Figure 1, Supplementary data are available at JTM online) could be partially attributed to returning residents importing RSV from other regions. Our study has several limitations. First, since our data were hospital-based, it may not reflect RSV activity in the outpatient and community settings. Second, we could not determine the extent to which travel restrictions could curb the spread of RSV in the absence of domestic mobility restrictions. Finally, we did not assess nor control for other potential confounding factors such as temperature and relative humidity. In summary, our findings suggest that the remarkable variations in RSV transmission dynamics during the relaxation of COVID-19 measures in Qatar in late 2020 and 2021 could be mainly attributed to the number of international arrivals and the introduction of RSV from different regions. Policymakers in the Arabian Peninsula that share similar demographic and international travel patterns with Qatar should be aware that the normalization of international travel following COVID-19 restrictions can dramatically alter RSV activity and may pose potential challenges to hospital resources and the need for palivizumab prophylaxis. APL designed the study, collected and analysed data and drafted the manuscript. HAM teamed up with APL to design the study, performed the statistical analysis and revised the manuscript. MI and MS collaborated with data analysis and revised the manuscript. MRH collaborated with designing the study and the statistical analysis and revised the manuscript. PT coordinated and supervised the execution of the study and finalized the manuscript. All authors read and approved the final version of the manuscript. This work required no funding. The authors have no conflicts of interest.

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)0,002
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut 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 enseignants0,027
Score d'incertitude au seuil0,054

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0010,001
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 Opus0,097
Tête enseignante GPT0,409
Écart entre enseignants0,312 · 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'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

Citations3
Publié2022
Routes d'admission1
Résumé présentoui

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