Evidence map›Paper›PMID 40717120›Full record

ArticleScientific reports2025

Evolutionary trajectory and spread of respiratory syncytial virus group A in neonatal cohorts in Pakistan amidst the COVID-19 pandemic.

Sana Tamim, Nidia S Trovao, Julia Paoli, Abdul Ahad, Nazish Badar, Uzma Bashir Aamir, Muhammad Salman, Aamer Ikram

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Sana TamimNational Institute of Health, Chak Shahzad, Islamabad, Pakistan. sanatamim@gmail.com.
Nidia S TrovaoDivision of International Epidemiology and Population Studies, Fogarty International Centre, National Institutes of Health, Bethesda, MD, 20892, USA.
Julia PaoliUniversity of Florida Emerging Pathogens Institute, Gainesville, FL, USA.
Abdul AhadNational Institute of Health, Chak Shahzad, Islamabad, Pakistan.
Nazish BadarNational Institute of Health, Chak Shahzad, Islamabad, Pakistan.
Uzma Bashir AamirNational Institute of Health, Chak Shahzad, Islamabad, Pakistan.
Muhammad SalmanNational Institute of Health, Chak Shahzad, Islamabad, Pakistan.
Aamer IkramNational Institute of Health, Chak Shahzad, Islamabad, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A collaborative effort by the National Institute of Health, Pakistan and the World Health Organization initiated RSV surveillance in children under 2 years old in 2019 in Pakistan. This study aimed to characterise RSV disease, assess genetic diversity of circulating subtypes, and reconstruct the evolutionary history and transmission dynamics during the COVID-19 pandemic. Nasal swabs were collected weekly from five sites across three seasons (2019-2022). A subset of samples was sequenced and studied using the BEAST phylodynamic framework. Multivariate logistic regression was performed to explore associations between patient characteristics and infection odds. Out of 758 samples collected, 18.7% tested positive for RSV, mostly RSV-A (93.6%). Influenza A and B positivity rates were 4.2% and 6.3%, respectively. RSV positivity increased from 13% in 2019-2020 to 32.1% in 2020-2021, likely due to the wide spread of respiratory infection and limited implementation of preventive measures. These rates later dropped to 10.0% (2021-22), suggesting a possible re-implementation of such measures. Mutational analysis revealed a unique P376S mutation within the F-4-2 epitopic region of the F gene of one Pakistani virus, which contributes to viral protein oligomerization. The phylodynamic inference revealed predominant circulation of RSV-A over a wider geographical region, reflecting a combination of continual viral entry, with three introductions in 2020, and one each in 2017 and 2018, and one event of persistence across seasons. The observed introductions likely stemmed from Pakistani nationals returning from Europe to their home country. Combined RSV surveillance and phylodynamic modeling effectively uncovers RSV transmission patterns and provides valuable insights for the development and deployment of RSV vaccination and treatment strategies.

Indexed as

COVID-19Respiratory Syncytial Virus, HumanRespiratory Syncytial Virus InfectionsCohort StudiesEvolution, MolecularFemaleHumansInfantInfant, NewbornMaleMutationPakistanPandemicsPhylogenySARS-CoV-2EpidemiologyPhylodynamicsRespiratory syncytial virusSurveillanceTransmission

Identifiers

PMID40717120
PMCPMC12301479

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.