Evidence map›Paper›PMID 40081734›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2025

Population-level respiratory virus-virus interactions, Puerto Rico, 2013-2023.

Zachary J Madewell, Joshua M Wong, Maile B Thayer, Vanessa Rivera-Amill, Diego Sainz de la Peña, Jorge Bertrán Pasarell, Gabriela Paz-Bailey, Laura E Adams, Yang Yang

Abstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for 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. Economic burden of dengue in Puerto Rico, 2010-2023.Infectious diseases of poverty · 2026
    Article
  2. Article
  3. Article
  4. Review
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

9 authors.

Zachary J MadewellDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico. Electronic address: ock0@cdc.gov.
Joshua M WongDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Maile B ThayerDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Vanessa Rivera-AmillPonce Health Sciences University/Ponce Research Institute, Ponce, Puerto Rico.
Diego Sainz de la PeñaAuxilio Mutuo Hospital, San Juan, Puerto Rico.
Jorge Bertrán PasarellAuxilio Mutuo Hospital, San Juan, Puerto Rico.
Gabriela Paz-BaileyDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Laura E AdamsDivision of Vector-Borne Diseases, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Yang YangDepartment of Statistics, Franklin College of Arts and Sciences, University of Georgia, Athens, GA, USA.

Funding

Intramural CDC HHS CC999999NCEZID CDC HHS U01 CK000670NCEZID CDC HHS U01 CK000696
6 · The paper itself

Abstract

backgroundUnderstanding virus-virus interactions is important for evaluating disease transmission and severity. Positive interactions suggest concurrent circulation, while negative interactions indicate reduced transmission of one virus when another is prevalent. This study examines interactions among seven respiratory viruses using a Bayesian approach that accounts for seasonality and long-term trends.

methodsWe analyzed data from 43,385 acute febrile illness cases in the Sentinel Enhanced Dengue Surveillance System in Puerto Rico (2013-2023). Viruses studied included influenza A (IAV), influenza B (IBV), respiratory syncytial virus (RSV), human parainfluenza viruses 1 and 3 (HPIV-1, HPIV-3), human adenovirus (HAdV), and human metapneumovirus (HMPV). Wavelet coherence analysis investigated synchronous or asynchronous viral co-variation, while a Bayesian hierarchical model estimated pairwise interactions.

resultsAmong 43,385 participants, 26.0% tested positive for at least one virus, with IAV (9.5%), HAdV (4.1%), RSV (3.6%), and IBV (3.6%) being most frequent. Coinfections occurred in 0.5% of cases, often involving HAdV. Wavelet coherence identified significant synchronization among RSV/HMPV, HPIV-1/HMPV, and other virus pairs, with minimal coherence during the COVID-19 pandemic. Bayesian modeling suggested five virus-virus associations: four positive (RSV/HPIV-3, HMPV/HPIV-1, IBV/HAdV, IBV/HMPV) and one negative (IAV/HAdV). However, when restricting the analysis to the prepandemic period, fewer associations remained statistically credible.

conclusionRespiratory viruses in Puerto Rico demonstrate patterns of co-circulation that may reflect complex interactions, but these associations appear context-dependent. Findings highlight the need for continued surveillance to better understand virus-virus dynamics and their implications for public health interventions.

Indexed as

Respiratory Tract InfectionsVirus DiseasesAdolescentAdultAgedBayes TheoremChildChild, PreschoolCoinfectionFemaleHumansInfantMaleMiddle AgedPuerto RicoSeasonsAcute respiratory infectionsCo-infectionPathogen interactionsViral interferenceViral synergism

Identifiers

PMID40081734
PMCPMC13019324

What OpenQuestion holds

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LicenceCC BY
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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.