Evidence map›Paper›PMID 28587073›Full record

ArticleInternational journal of environmental research and public health2017

Epidemiological Features and Forecast Model Analysis for the Morbidity of Influenza in Ningbo, China, 2006-2014.

Chunli Wang, Yongdong Li, Wei Feng, Kui Liu, Shu Zhang, Fengjiao Hu, Suli Jiao, Xuying Lao, Hongxia Ni, Guozhang Xu

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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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

10 authors.

Chunli WangDepartment of Chronic Diseases and Community Health, Fenghua Municipal Center for Disease Control and Prevention, Ningbo 315500, China. chunliwangx@163.com.
Yongdong LiDepartment of Virus Research, Ningbo Municipal Center for Disease Control and Prevention, Ningbo 315010, China. nbliyd@163.com.
Wei FengDepartment of Chronic Diseases and Community Health, Fenghua Municipal Center for Disease Control and Prevention, Ningbo 315500, China. fhfengw@163.com.
Kui LiuDepartment of Science Research and Information Management, Zhejiang Provincial Center for Disease Control and Prevention, Hangzhou 310051, China. zjliuk@163.com.
Shu ZhangDepartment of Virus Research, Ningbo Municipal Center for Disease Control and Prevention, Ningbo 315010, China. nbzhangs@163.com.
Fengjiao HuDepartment of Virus Research, Ningbo Municipal Center for Disease Control and Prevention, Ningbo 315010, China. nbhufj@163.com.
Suli JiaoDepartment of Virus Research, Ningbo Municipal Center for Disease Control and Prevention, Ningbo 315010, China. nbjiaosl@163.com.
Xuying LaoDepartment of Virus Research, Ningbo Municipal Center for Disease Control and Prevention, Ningbo 315010, China. nblaoxy@163.com.
Hongxia NiDepartment of Virus Research, Ningbo Municipal Center for Disease Control and Prevention, Ningbo 315010, China. nbnihx@163.com.
Guozhang XuDepartment of Virus Research, Ningbo Municipal Center for Disease Control and Prevention, Ningbo 315010, China. xugz@nbcdc.org.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to identify circulating influenza virus strains and vulnerable population groups and investigate the distribution and seasonality of influenza viruses in Ningbo, China. Then, an autoregressive integrated moving average (ARIMA) model for prediction was established. Influenza surveillance data for 2006-2014 were obtained for cases of influenza-like illness (ILI) (

Indexed as

Models, BiologicalChinaHumansIncidenceInfluenza A virusInfluenza B virusInfluenza, HumanPopulation SurveillanceSeasonsARIMA modelinfluenzainfluenza-like illnessprediction

Identifiers

PMID28587073
PMCPMC5486245

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.