Evidence map›Paper›PMID 32054544›Full record

ArticleEpidemiology and infection2020

Epidemiological features and time-series analysis of influenza incidence in urban and rural areas of Shenyang, China, 2010-2018.

Ye Chen, Kunkun Leng, Ying Lu, Lihai Wen, Ying Qi, Wei Gao, Huijie Chen, Lina Bai, Xiangdong An, Baijun Sun and 2 more

Abstract read
In one paragraph

Article in Epidemiology and infection, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
–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

37 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  15. The role of vitamin D receptor and IL-6 in COVID-19.Molecular genetics & genomic medicine · 2023
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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

12 authors.

Ye ChenDepartment of Infectious Disease, Shenyang center for Disease Control and Prevention, Shenyang110031, Liaoning Province, PR China.
Kunkun LengDepartment of Occupational and Environmental Health, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang110122, P.R. China.
Ying LuDepartment of Infectious Disease, Shenyang center for Disease Control and Prevention, Shenyang110031, Liaoning Province, PR China.
Lihai WenDepartment of Infectious Disease, Shenyang center for Disease Control and Prevention, Shenyang110031, Liaoning Province, PR China.
Ying QiDepartment of Infectious Disease, Shenyang center for Disease Control and Prevention, Shenyang110031, Liaoning Province, PR China.
Wei GaoDepartment of Infectious Disease, Shenyang center for Disease Control and Prevention, Shenyang110031, Liaoning Province, PR China.
Huijie ChenDepartment of Infectious Disease, Shenyang center for Disease Control and Prevention, Shenyang110031, Liaoning Province, PR China.
Lina BaiDepartment of Infectious Disease, Shenyang center for Disease Control and Prevention, Shenyang110031, Liaoning Province, PR China.
Xiangdong AnDepartment of Infectious Disease, Shenyang center for Disease Control and Prevention, Shenyang110031, Liaoning Province, PR China.
Baijun SunDepartment of Infectious Disease, Shenyang center for Disease Control and Prevention, Shenyang110031, Liaoning Province, PR China.
Ping WangDepartment of Infectious Disease, Shenyang center for Disease Control and Prevention, Shenyang110031, Liaoning Province, PR China.
Jing DongDepartment of Occupational and Environmental Health, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang110122, P.R. China.ORCID 0000-0002-9353-2246

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, there have been a significant influenza activity and emerging influenza strains in China, resulting in an increasing number of influenza virus infections and leading to public health concerns. The aims of this study were to identify the epidemiological and aetiological characteristics of influenza and establish seasonal autoregressive integrated moving average (SARIMA) models for forecasting the percentage of visits for influenza-like illness (ILI%) in urban and rural areas of Shenyang. Influenza surveillance data were obtained for ILI cases and influenza virus positivity from 18 sentinel hospitals. The SARIMA models were constructed to predict ILI% for January-December 2019. During 2010-2018, the influenza activity was higher in urban than in rural areas. The age distribution of ILI cases showed the highest rate in young children aged 0-4 years. Seasonal A/H3N2, influenza B virus and pandemic A/H1N1 continuously co-circulated in winter and spring seasons. In addition, the SARIMA (0, 1, 0) (0, 1, 2)12 model for the urban area and the SARIMA (1, 1, 1) (1, 1, 0)12 model for the rural area were appropriate for predicting influenza incidence. Our findings suggested that there were regional and seasonal distinctions of ILI activity in Shenyang. A co-epidemic pattern of influenza strains was evident in terms of seasonal influenza activity. Young children were more susceptible to influenza virus infection than adults. These results provide a reference for future influenza prevention and control strategies in the study area.

Indexed as

Epidemiological MonitoringAdolescentAdultAgedAged, 80 and overAge DistributionChildChild, PreschoolChinaFemaleGeographyHospitalsHumansIncidenceInfantInfant, Newborninfluenza-like illnessInfluenza strainsseasonal distinctionssurveillance

Identifiers

PMID32054544
PMCPMC7026897

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.