# Interaction analysis of non‐bacterial respiratory pathogens during and after the coronavirus disease 2019 pandemic in two cities along the eastern coast of China

**Authors:** Wanxian Ye, Jishan Zheng, Yungang Yang, Xinyue Song, Xiang Yuan, Lan Yang, Jian Yu, Hailin Zhang, Shunhang Wen

PMC · DOI: 10.1002/ped4.70034 · Pediatric Investigation · 2026-01-19

## TL;DR

This study examines how the interactions between non-bacterial respiratory pathogens in children changed during and after the COVID-19 pandemic in two Chinese cities.

## Contribution

A consistent negative correlation between influenza B and Mycoplasma pneumoniae suggests potential pathogen interference.

## Key findings

- Detection rates of non-bacterial respiratory pathogens dropped during NPIs but rebounded afterward.
- Post-pandemic, co-detection of pathogens increased with intensified positive and negative correlations.
- A persistent negative correlation was observed between influenza B virus and Mycoplasma pneumoniae.

## Abstract

The coronavirus disease 2019 (COVID‐19) pandemic and associated non‐pharmaceutical interventions (NPIs) have significantly altered the epidemiology of respiratory pathogens. Understanding the interactions between non‐bacterial respiratory pathogens is crucial for clinical management and surveillance.

To investigate how interactions among non‐bacterial respiratory pathogens in children changed during and after the COVID‐19 pandemic in two cities in eastern China.

This retrospective study reviewed the data of children hospitalized with acute respiratory tract infections in Wenzhou and Ningbo between March 1, 2021, and February 28, 2024. The SureX 13 respiratory pathogen multiplex kit was used to detect 13 pathogen types/subtypes in the respiratory tract secretion specimens. The chi‐square test or Fisher's exact test, virus correlation, and vector autoregressive modelling were employed to evaluate correlations and dynamic changes in the weekly positive detection rates before and after the NPIs.

Among the 73 096 children tested, 65.18% had at least one non‐bacterial respiratory pathogen, and 11.97% had multiple pathogens. Detection rates declined significantly by 56.65% during NPIs but rebounded by 75.46% afterward, particularly for Mycoplasma pneumoniae, which increased from 5.29% to 34.78%. Post‐pandemic, the co‐detection of non‐bacterial respiratory pathogens increased, with interaction patterns varying by phase. Notably, after the pandemic, the positive and negative correlations among pathogens intensified, with a significant increase in negative associations. Furthermore, a persistent negative correlation existed between the influenza B virus and Mycoplasma pneumoniae (−0.36 to −0.25), suggesting the potential presence of pathogen interference.

The interactions between non‐bacterial respiratory pathogens markedly changed after COVID‐19, showing strengthened correlations, which were primarily negative in nature. These observations underscore the importance of the ongoing surveillance of respiratory pathogens in evolving NPIs and epidemiological patterns.

What is Known

• Co‐infections can influence pathogen replication, disease severity, and the duration of illness.

• Co‐infection patterns and temporal correlations have been characterized among various respiratory viruses and atypical pathogens.

What is New

• A consistent negative correlation between influenza B and Mycoplasma pneumoniae suggests potential pathogen interference.

• The coronavirus disease 2019 pandemic and related non‐pharmaceutical interventions significantly altered the epidemiological trends of respiratory pathogens.

## Linked entities

- **Diseases:** coronavirus disease 2019 (MONDO:0100096)
- **Species:** Homo sapiens (taxon 9606)

## Full-text entities

- **Diseases:** bacterial (MESH:D001424), Co (MESH:D060085), Infection (MESH:D007239), Chlamydia pneumonia (MESH:D023521), COVID-19 (MESH:D000086382), respiratory pathogen (MESH:D012131), NPIs (MESH:C580335), Inf B (MESH:D006566), respiratory diseases (MESH:D012140), Inf A (MESH:D007251), respiratory infection (MESH:D012141)
- **Chemicals:** macrolide (MESH:D018942)
- **Species:** Influenza A virus (no rank) [taxon 11320], Chlamydia (genus) [taxon 810], Respiratory syncytial virus (no rank) [taxon 12814], Homo sapiens (human, species) [taxon 9606], Influenza B virus (no rank) [taxon 11520], Human respirovirus 1 (no rank) [taxon 12730], Gammacoronavirus (genus) [taxon 694013], Human adenovirus sp. (species) [taxon 1907210], Severe acute respiratory syndrome coronavirus 2 (no rank) [taxon 2697049], Candidatus Accumulibacter adiacens (species) [taxon 2954378], H1N1 subtype (serotype) [taxon 114727], Bocaparvovirus (genus) [taxon 1507401], human metapneumovirus (no rank) [taxon 162145], H3N2 subtype (serotype) [taxon 119210], Mycoplasmoides pneumoniae (Filterable agent of primary atypical pneumonia, species) [taxon 2104], Human rhinovirus sp. (species) [taxon 169066], human respiratory syncytial virus (no rank) [taxon 11250], Orthocoronavirinae (subfamily) [taxon 2501931]

## Full text

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## Figures

8 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12921633/full.md

## References

53 references — full list in the complete paper: https://tomesphere.com/paper/PMC12921633/full.md

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Source: https://tomesphere.com/paper/PMC12921633