Evidence map›Paper›PMID 40308004›Full record

ArticleThe Journal of infectious diseases2025

Exploring RSV Transmission Patterns in Different Age Groups in the United States.

Ke Li, Virginia E Pitzer, Daniel M Weinberger

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Ke LiDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.ORCID 0000-0002-1252-670X
Virginia E PitzerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.ORCID 0000-0003-1015-2289
Daniel M WeinbergerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, Connecticut, USA.ORCID 0000-0003-1178-8086

Funding

Predicting and monitoring variations in the effects of vaccines against RSVR01AI137093 · NIAID · YALE UNIVERSITY · PI Virginia E Pitzer, Daniel Martin Weinberger · 2018 to 2026
$3.4M
NIAID NIH HHS R01 AI137093NIH HHS R01AI137093
6 · The paper itself

Abstract

Respiratory syncytial virus (RSV) infections are a significant public health concern for pediatric populations and older adults, with seasonal winter outbreaks in the United States. Little is known about the timing of RSV epidemics across age groups and the relative contribution of within-group and between-group transmission of RSV in each age group. In this study, we analyzed RSV timing and transmission across age groups in 12 states from 2018 to 2024. We found that children under 5 years had the earliest epidemic peaks; older people had the latest. An age-structured time series model showed >50% of hospitalizations in several age groups were due to between-group transmission, except in older adults (above 65 years), where within-group spread dominated. Our findings indicate that distinct age groups play unique roles in propagating RSV epidemics in the United States, with age-specific transmission patterns that can guide more effective RSV vaccination policies.

Indexed as

Respiratory Syncytial Virus InfectionsAdolescentAdultAgedAged, 80 and overAge FactorsChildChild, PreschoolFemaleHospitalizationHumansInfantInfant, NewbornMaleMiddle AgedRespiratory Syncytial Virus, Humanage groupsmathematical modelingpublic healthRSV transmission patternstemporal analysis

Identifiers

PMID40308004
PMCPMC12455310

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.