Evidence map›Paper›PMID 37964991›Full record

ArticleInfluenza and other respiratory viruses2023

Interactions among acute respiratory viruses in Beijing, Chongqing, Guangzhou, and Shanghai, China, 2009-2019.

Zachary J Madewell, Li-Ping Wang, Natalie E Dean, Hai-Yang Zhang, Yi-Fei Wang, Xiao-Ai Zhang, Wei Liu, Wei-Zhong Yang, Ira M Longini, George F Gao and 4 more

Open access · goldAbstract read
In one paragraph

Article in Influenza and other respiratory viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
3.4field-weighted citation impact, top 6% of its field
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

17 citing papers in PubMed, 16 citations in OpenAlex.

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  9. Population-level respiratory virus-virus interactions, Puerto Rico, 2013-2023.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2025
    Article
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  15. Sentinel Enhanced Dengue Surveillance System - Puerto Rico, 2012-2022.Morbidity and mortality weekly report. Surveillance summaries (Washington, D.C. : 2002) · 2024
    Article
  16. 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

14 authors at 5 institutions in 2 countries.

Zachary J MadewellDepartment of Biostatistics, College of Public Health and Health Professions & Emerging Pathogens Institute University of Florida Gainesville Florida USA.ORCID 0000-0002-5667-9660
Li-Ping WangDivision of Infectious Disease Key Laboratory of Surveillance and Early-Warning on Infectious Diseases, Chinese Center for Disease Control and Prevention Beijing China.
Natalie E DeanDepartment of Biostatistics and Bioinformatics Emory University Atlanta Georgia USA.
Hai-Yang ZhangState Key Laboratory of Pathogen and Biosecurity Beijing Institute of Microbiology and Epidemiology Beijing China.
Yi-Fei WangState Key Laboratory of Pathogen and Biosecurity Beijing Institute of Microbiology and Epidemiology Beijing China.
Xiao-Ai ZhangState Key Laboratory of Pathogen and Biosecurity Beijing Institute of Microbiology and Epidemiology Beijing China.
Wei LiuState Key Laboratory of Pathogen and Biosecurity Beijing Institute of Microbiology and Epidemiology Beijing China.
Wei-Zhong YangDivision of Infectious Disease Key Laboratory of Surveillance and Early-Warning on Infectious Diseases, Chinese Center for Disease Control and Prevention Beijing China.
Ira M LonginiDepartment of Biostatistics, College of Public Health and Health Professions & Emerging Pathogens Institute University of Florida Gainesville Florida USA.
George F GaoDivision of Infectious Disease Key Laboratory of Surveillance and Early-Warning on Infectious Diseases, Chinese Center for Disease Control and Prevention Beijing China.
Zhong-Jie LiDivision of Infectious Disease Key Laboratory of Surveillance and Early-Warning on Infectious Diseases, Chinese Center for Disease Control and Prevention Beijing China.
Li-Qun FangState Key Laboratory of Pathogen and Biosecurity Beijing Institute of Microbiology and Epidemiology Beijing China.
Yang YangDepartment of Statistics, Franklin College of Arts and Sciences University of Georgia Athens Georgia USA.ORCID 0000-0003-0428-5480
Chinese Centers for Disease Control and Prevention (CDC) Etiology of Respiratory Infection Surveillance Study Team
Institute of Microbiology · CNChinese Center For Disease Control and Prevention · CNUniversity of Florida Health · USEmory University · USUniversity of Georgia · US

Funding

Mathematical and Statistical Methods for the Control of Global Infectious Disease ThreatsR56AI148284 · NIAID · UNIVERSITY OF FLORIDA · PI HALLORAN, M ELIZABETH, LONGINI, IRA M · 2020 to 2020
$802k
NIAID NIH HHS R56 AI148284
6 · The paper itself

Abstract

Background: A viral infection can modify the risk to subsequent viral infections via cross-protective immunity, increased immunopathology, or disease-driven behavioral change. There is limited understanding of virus-virus interactions due to lack of long-term population-level data. Methods: Our study leverages passive surveillance data of 10 human acute respiratory viruses from Beijing, Chongqing, Guangzhou, and Shanghai collected during 2009 to 2019: influenza A and B viruses; respiratory syncytial virus A and B; human parainfluenza virus (HPIV), adenovirus, metapneumovirus (HMPV), coronavirus, bocavirus (HBoV), and rhinovirus (HRV). We used a multivariate Bayesian hierarchical model to evaluate correlations in monthly prevalence of test-positive samples between virus pairs, adjusting for potential confounders. Results: Of 101,643 lab-tested patients, 33,650 tested positive for any acute respiratory virus, and 4,113 were co-infected with multiple viruses. After adjusting for intrinsic seasonality, long-term trends and multiple comparisons, Bayesian multivariate modeling found positive correlations for HPIV/HRV in all cities and for HBoV/HRV and HBoV/HMPV in three cities. Models restricted to children further revealed statistically significant associations for another ten pairs in three of the four cities. In contrast, no consistent correlation across cities was found among adults. Most virus-virus interactions exhibited substantial spatial heterogeneity. Conclusions: There was strong evidence for interactions among common respiratory viruses in highly populated urban settings. Consistent positive interactions across multiple cities were observed in viruses known to typically infect children. Future intervention programs such as development of combination vaccines may consider spatially consistent virus-virus interactions for more effective control.

Indexed as

Respiratory Syncytial Virus, HumanRespiratory Tract InfectionsVirus DiseasesVirusesAdultBayes TheoremBeijingChildChinaHumansInfantacute respiratory infectionsco‐infectionpathogen interactionsviral interferenceviral synergism

Identifiers

PMID37964991
PMCPMC10640964
OpenAlexW4388616730

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.