Evidence map›Paper›PMID 39910621›Full record

ArticleBiomedical engineering online2025

Relationship between RSV-hospitalized children and meteorological factors: a time series analysis from 2017 to 2023.

Shuying Wang, Yifan Wang, Yingxue Zou, Cheng-Liang Yin

Abstract read
In one paragraph

Article in Biomedical engineering online, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

5 citing papers in PubMed.

  1. Article
  2. Resurgence and seasonal patterns of RSV-B during the COVID-19 era: an 18-year retrospective hospital-based study.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Article
  3. Review
  4. Article
  5. Article
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

4 authors.

Shuying Wang *Department of Pulmonology, Tianjin Children's Hospital (Children's Hospital of Tianjin University), Machang Compus, 225 Machang Road, Hexi District, Tianjin, 300074, China.
Yifan Wang *Department of Pulmonology, Tianjin Children's Hospital (Children's Hospital of Tianjin University), Machang Compus, 225 Machang Road, Hexi District, Tianjin, 300074, China.
Yingxue ZouDepartment of Pulmonology, Tianjin Children's Hospital (Children's Hospital of Tianjin University), Machang Compus, 225 Machang Road, Hexi District, Tianjin, 300074, China. zouyingxue2015@vip.126.com.
Cheng-Liang YinDepartment of Public Health, International College, Krirk University, Bangkok, 10220, Thailand. Chengliangyin@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesRespiratory syncytial virus (RSV) is a leading cause of hospitalization for lower respiratory tract infections amongst infants under 1 year, posing a significant global health challenge. The incidence of RSV exhibits marked seasonality and is influenced by various meteorological factors, which vary across regions and climates. This study aimed to analyze seasonal trends in RSV-related hospitalization in Tianjin, a region with a semi-arid and semi-humid monsoon climate, and to explore the relationship between these trends and meteorological factors. This research intends to inform RSV prevention strategies, optimize public health policies and medical resource allocation while also promoting vaccine and therapeutic drug development.

methodsThis study analyzed data from a cohort of 6222 children hospitalized with RSV-related infections. Meteorological data were collected from the Tianjin Binhai International Airport meteorological station, encompassing temperature (℃), air pressure (mmHg), wind speed (m/s), humidity (%), and precipitation (mm). We employed seasonal ARIMA and GAM models to investigate the association between meteorological factors and RSV-related hospitalizations.

resultsThe SARIMA (1,0,0) (0,1,2)12 model effectively predicted RSV-related hospital admissions. Spearman correlation and GAM analysis revealed a significant negative association between the monthly average temperature and RSV hospitalizations.

conclusionsOur findings indicated that meteorological factors influence RSV infection-related hospital admissions, with higher monthly average temperatures associated with fewer hospitalizations. The predictive capabilities of the SARIMA model bolster the formulation of targeted RSV prevention strategies, enhancing public health policy and medical resource allocation. Furthermore, continued research into vaccines and therapeutic drugs remains indispensable for augmenting public health outcomes.

Indexed as

HospitalizationMeteorological ConceptsRespiratory Syncytial Virus InfectionsChildChild, PreschoolFemaleHumansInfantMaleSeasonsTime FactorsGAM modelMeteorological factorsRespiratory syncytial virus (RSV)SARIMA model

Identifiers

PMID39910621
PMCPMC11796253

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Registered trials

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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.