Epidemic dynamics and age-specific distribution of respiratory pathogens: a direct-to-consumer surveillance study in four regions of China, October 2023–February 2025

OBJECTIVE: This study characterizes the epidemiological features of key respiratory pathogens across four regions of China following the COVID-19 pandemic, aiming to enhance understanding of post-pandemic circulation patterns and supporting the development of targeted prevention strategies. METHODS: Surveillance data on seven respiratory pathogens were collected (October 2023-February 2025) using a direct-to-consumer (DTC) testing approach. Demographic distributions, temporal trends, pairwise correlation analyses and symptom profiles were assessed. RESULTS: Respiratory syncytial virus (RSV) and human rhinovirus (HRV) exhibited a child pattern. Influenza B virus (IFV-B), human adenovirus (HAdV), and Mycoplasma pneumoniae (M. pneumoniae) demonstrated a school-age child pattern. In contrast, influenza A virus (IFV-A) and SARS-CoV-2 showed an elderly pattern. The epidemic patterns of pathogens were categorized into seasonal and year-round circulation. Correlation analyses revealed positive pairwise correlations between IFV-A and RSV, and between HRV and M. pneumoniae, while a negative correlation was observed between IFV-A and SARS-CoV-2. Clustering analysis based on symptom profiles identified three distinct categories: an upper respiratory tract symptom cluster (RSV, HRV), a systemic and respiratory symptom cluster (influenza viruses, SARS-CoV-2), and a systemic symptom cluster (HAdV, M. pneumoniae). Analysis of typical symptom (fever, cough, throat pain) co-occurrence for the seven pathogens showed that only IFV-A (50.14%) met the current Chinese respiratory pathogen surveillance case definition (fever with cough or throat pain); for the other six pathogens, the proportion was below 50%. CONCLUSIONS: Pathogen distribution exhibited significant age-specific variation. The seasonality of different pathogens exhibited regional variations, providing valuable references for future preventive interventions. Notably, half of the individuals with single-pathogen detection reported symptoms that did not meet the current influenza-like illness (ILI) surveillance criteria. Therefore, case definitions should be optimized according to pathogen type in future surveillance efforts.

Authors

Institutions

Publication Details

Journal
BMC Infectious Diseases
Published
2026-05-30
DOI
https://doi.org/10.1186/s12879-026-13668-x
Primary Topic
Respiratory viral infections research
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Epidemic dynamics and age-specific distribution of respiratory pathogens: a direct-to-consumer surveillance study in four regions of China, October 2023–February 2025

Zeni Wu, Yanxia Sun, Yuping Duan, Huili Jiang et al.
BMC Infectious Diseases
Respiratory viral infections research
article

Epidemic dynamics and age-specific distribution of respiratory pathogens: a direct-to-consumer surveillance study in four regions of China, October 2023–February 2025

Zeni Wu, Yanxia Sun, Yuping Duan, Huili Jiang, Mingyue Jiang, Luzhao Feng
article en

Abstract

OBJECTIVE: This study characterizes the epidemiological features of key respiratory pathogens across four regions of China following the COVID-19 pandemic, aiming to enhance understanding of post-pandemic circulation patterns and supporting the development of targeted prevention strategies. METHODS: Surveillance data on seven respiratory pathogens were collected (October 2023-February 2025) using a direct-to-consumer (DTC) testing approach. Demographic distributions, temporal trends, pairwise correlation analyses and symptom profiles were assessed. RESULTS: Respiratory syncytial virus (RSV) and human rhinovirus (HRV) exhibited a child pattern. Influenza B virus (IFV-B), human adenovirus (HAdV), and Mycoplasma pneumoniae (M. pneumoniae) demonstrated a school-age child pattern. In contrast, influenza A virus (IFV-A) and SARS-CoV-2 showed an elderly pattern. The epidemic patterns of pathogens were categorized into seasonal and year-round circulation. Correlation analyses revealed positive pairwise correlations between IFV-A and RSV, and between HRV and M. pneumoniae, while a negative correlation was observed between IFV-A and SARS-CoV-2. Clustering analysis based on symptom profiles identified three distinct categories: an upper respiratory tract symptom cluster (RSV, HRV), a systemic and respiratory symptom cluster (influenza viruses, SARS-CoV-2), and a systemic symptom cluster (HAdV, M. pneumoniae). Analysis of typical symptom (fever, cough, throat pain) co-occurrence for the seven pathogens showed that only IFV-A (50.14%) met the current Chinese respiratory pathogen surveillance case definition (fever with cough or throat pain); for the other six pathogens, the proportion was below 50%. CONCLUSIONS: Pathogen distribution exhibited significant age-specific variation. The seasonality of different pathogens exhibited regional variations, providing valuable references for future preventive interventions. Notably, half of the individuals with single-pathogen detection reported symptoms that did not meet the current influenza-like illness (ILI) surveillance criteria. Therefore, case definitions should be optimized according to pathogen type in future surveillance efforts.

BMC Infectious Diseases
Oklahoma State Department of Health (US), Chinese Academy of Medical Sciences & Peking Union Medical College (CN), Peking Union Medical College Hospital (CN), Ministry of Education (RO), Bio Pharm Dongsung (South Korea) (KR), China National Health Development Research Center (CN), Innovation Team (China) (HK), Dongfeng Motor Group (China) (CN), Beijing Advanced Sciences and Innovation Center (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 5%
Respiratory viral infections research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.