Evidence map›Paper›PMID 41788536›Full record

ArticleFrontiers in public health2026

Epidemiological analysis of respiratory pathogen detection in 11 regions of Yunnan from 2021 to 2023.

Wenlu Wang, Mei Liu, Xiaolin Zhu, Xianyao Yang, Yang Liu, Yaowu Chen

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

6 authors.

Wenlu Wang *Department of Emergency Medicine, Lijiang People's Hospital, Lijiang, China.
Mei Liu *Yunnan Kunming Medical University Precision Medicine Science and Technology Research Institute Co., Ltd./Yunnan Kunming Medical University Precision Medicine Research Institute, Kunming, China.
Xiaolin ZhuDepartment of Emergency Medicine, Lijiang People's Hospital, Lijiang, China.
Xianyao YangYunnan Kunming Medical University Precision Medicine Science and Technology Research Institute Co., Ltd./Yunnan Kunming Medical University Precision Medicine Research Institute, Kunming, China.
Yang LiuYunnan Kunming Medical University Precision Medicine Science and Technology Research Institute Co., Ltd./Yunnan Kunming Medical University Precision Medicine Research Institute, Kunming, China.
Yaowu ChenDepartment of Emergency Medicine, Lijiang People's Hospital, Lijiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Acute respiratory infections (ARI), caused by various pathogens, are a significant global public health issue, and their epidemiological characteristics across different populations and regions still require indepth research. Based on laboratory surveillance data, this study analyzed the detection and distribution characteristics of ARI pathogens in 11 areas of Yunnan Province from 2021 to 2023. Methods: A total of 7,906 ARI patient samples from 11 regions in Yunnan Province were included, and pathogen detection was performed using targeted next-generation sequencing (TNGS) technology covering viral, bacterial, and fungal respiratory pathogens. Stratified analysis was conducted by age group, season, and geographical region, with further evaluation of co-detection patterns. Results: The results showed that the pathogen detection rate was highest in preschool children (0-5 years group) at 60.59%, with Conclusion: In summary, ARI in Yunnan Province exhibits distinct age specificity, seasonality, and regional differences, with children and summer being the key focuses for prevention and control. These results provide epidemiological evidence for optimizing the prevention and clinical management strategies of ARI in Yunnan Province.

Indexed as

Respiratory Tract InfectionsAdolescentChildChild, PreschoolChinaFemaleHumansInfantInfant, NewbornMaleSeasonsepidemiological characteristicsinfection dynamicsrespiratory pathogensseasonal trendsYunnan Province

Identifiers

PMID41788536
PMCPMC12957258

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