Evidence map›Paper›PMID 40636856›Full record

ArticleFrontiers in public health2025

Application of the moving epidemic method for influenza surveillance in Kunming.

Yudong Gao, Yang Zhou, Siyi Luo, Zhengji Chen, Yujue Wang, Zhiyan Zha, Xiaoxiao Song

Abstract read
In one paragraph

Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Yudong GaoKunming Center for Disease Control and Prevention, Kunming, Yunnan Province, China.
Yang ZhouKunming Center for Disease Control and Prevention, Kunming, Yunnan Province, China.
Siyi LuoKunming Center for Disease Control and Prevention, Kunming, Yunnan Province, China.
Zhengji ChenKunming Center for Disease Control and Prevention, Kunming, Yunnan Province, China.
Yujue WangKunming Center for Disease Control and Prevention, Kunming, Yunnan Province, China.
Zhiyan ZhaKunming Center for Disease Control and Prevention, Kunming, Yunnan Province, China.
Xiaoxiao SongSchool of Public Health, Kunming Medical University, Kunming, Yunnan Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The Moving Epidemic Method (MEM) has been widely used to assess seasonal influenza epidemics in temperate and subtropical regions. This is the first study to validate the use of MEM in a subtropical plateau environment. Methods: This study applied the Moving Epidemic Method (MEM) to establish influenza epidemic thresholds in Kunming, China, using virological surveillance data from 2011-2012 to 2023-2024. Results: The MEM model demonstrated high sensitivity (93%) and specificity (67%), with no detection lag for the 2023-2024 season. Epidemic thresholds (8%), which were notably lower than those in other subtropical regions, may potentially be attributed to Kunming's plateau monsoon climate. Conclusion: This study underscored MEM's adaptability in subtropical plateau settings and provided actionable thresholds for early outbreak response.

Indexed as

EpidemicsEpidemiological MonitoringInfluenza, HumanPopulation SurveillanceChinaHumansSeasonsSensitivity and Specificityepidemic intensityepidemic thresholdsinfluenza surveillanceMEMmoving epidemic method

Identifiers

PMID40636856
PMCPMC12237982

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Registered trials

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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.