Evidence map›Paper›PMID 40284915›Full record

ArticleViruses2025

Initial Establishment of Warning Model for Epidemic Intensity of Norovirus GII Associated with Acute Gastroenteritis in Beijing Based on Synthetic Index Method.

Taoli Han, Yan Gao, Shiyao Zhang, Yang Jiao, Jianhong Zhao, Jiaxin Zhao, Yujie Liu, Kuankuan Liu, Pan Lu, Ru Fan and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Viruses, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

18 authors.

Taoli HanBeijing Chaoyang Center for Disease Control and Prevention, Beijing 100021, China.ORCID 0000-0002-7216-8852
Yan GaoBeijing Chaoyang Center for Disease Control and Prevention, Beijing 100021, China.
Shiyao ZhangBeijing Chaoyang Center for Disease Control and Prevention, Beijing 100021, China.
Yang JiaoBeijing Chaoyang Center for Disease Control and Prevention, Beijing 100021, China.
Jianhong ZhaoBeijing Chaoyang Center for Disease Control and Prevention, Beijing 100021, China.
Jiaxin ZhaoBeijing Chaoyang Center for Disease Control and Prevention, Beijing 100021, China.
Yujie LiuBeijing Chaoyang Center for Disease Control and Prevention, Beijing 100021, China.
Kuankuan LiuBeijing Chaoyang Center for Disease Control and Prevention, Beijing 100021, China.
Pan LuBeijing Chaoyang Center for Disease Control and Prevention, Beijing 100021, China.
Ru FanBeijing Chaoyang Center for Disease Control and Prevention, Beijing 100021, China.
Yuqi ZhangBeijing Chaoyang Center for Disease Control and Prevention, Beijing 100021, China.
Xingmei RenBeijing Chaoyang Center for Disease Control and Prevention, Beijing 100021, China.
Mengnan WangBeijing Chaoyang Center for Disease Control and Prevention, Beijing 100021, China.
Zhiyong GaoBeijing Center for Disease Control and Prevention, Beijing 100013, China.
Wenjing LiBeijing Chaoyang Center for Disease Control and Prevention, Beijing 100021, China.
Beibei LiBeijing Chaoyang Center for Disease Control and Prevention, Beijing 100021, China.
Tongyue SuSchool of Public Health, Hebei University, Baoding 071000, China.
Lingli SunBeijing Chaoyang Center for Disease Control and Prevention, Beijing 100021, China.

Funding

Open-end Research Fundation of Beijing Key Laboratory BZ0063-202403the Beijing Chaoyang District Science and Technology Project CYSF2206the National Key R&D Program of China 2022YFE0102400the Special Scientiffc Research Project for Capital Health Development 2022-1G-4231
6 · The paper itself

Abstract

At present, there is no research that classifies the epidemic intensity of acute gastroenteritis (AGE) caused by Norovirus (NoV) GII combined cases and environmental surveillance data at the same time. With reference to the experience of the epidemiological-level classification of infectious disease and the actual epidemiological status of NoV AGE in Chaoyang District, Beijing, China, the epidemic intensity of NoV GII was divided into five grades with increasing intensity from grade 1 to grade 5, which corresponds to non-epidemic risk, general risk, moderate risk, high risk, and ultra-high risk, respectively. If the synthetic index of two consecutive monitoring weeks in the epidemic season of 2023-2024 exceeds a certain threshold, an early warning for the corresponding epidemic intensity will be issued and recommendations on the corresponding control measures will be given. This study established and quantified the criteria for the epidemic intensity of AGE caused by NoV GII based on case surveillance data and environmental surveillance data. It provides a reference for other methods to carry out relevant studies in the future. However, mathematical models cannot completely replace skilled experience. Therefore, when making decisions with early warning models in practice, it is necessary to refer to the opinions of professional and experienced experts to avoid the bias of the early warning model from affecting strategy judgment.

Indexed as

Caliciviridae InfectionsGastroenteritisNorovirusAcute DiseaseBeijingEpidemicsEpidemiological MonitoringGenotypeHumansModels, Theoreticalacute gastroenteritisaverage temperaturesnorovirussynthetic index methodwastewater surveillance

Identifiers

PMID40284915
PMCPMC12031202

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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.