Evidence map›Paper›PMID 26894876›Full record

ArticlePloS one2016

Impact of Influenza on Outpatient Visits, Hospitalizations, and Deaths by Using a Time Series Poisson Generalized Additive Model.

Ru-ning Guo, Hui-zhen Zheng, Chun-quan Ou, Li-qun Huang, Yong Zhou, Xin Zhang, Can-kun Liang, Jin-yan Lin, Hao-jie Zhong, Tie Song and 1 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
1.7field-weighted citation impact, top 16% of its field
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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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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

11 authors at 5 institutions in 1 country.

Ru-ning GuoPublic Health Emergency management office, Center for Disease Control and Prevention of Guangdong Province, Guangzhou, China.
Hui-zhen ZhengInstitute of Immunization Programs, Center for Disease Control and Prevention of Guangdong Province, Guangzhou, China.
Chun-quan OuDepartment of Biostatistics, School of Public Health, Southern Medical University, Guangzhou, China.
Li-qun HuangZhuhai Municipal Center for Disease Control and Prevention, Zhuhai, China.
Yong ZhouZhuhai Municipal Center for Disease Control and Prevention, Zhuhai, China.
Xin ZhangInstitute of Pathogenic Microorganisms, Center for Disease Control and Prevention of Guangdong Province, Guangzhou, China.
Can-kun LiangZhuhai Municipal Center for Disease Control and Prevention, Zhuhai, China.
Jin-yan LinCenter for Disease Control and Prevention of Guangdong Province, Guangzhou, China.
Hao-jie ZhongInstitute of Infectious Disease Prevention and Control, Center for Disease Control and Prevention of Guangdong Province, Guangzhou, China.
Tie SongCenter for Disease Control and Prevention of Guangdong Province, Guangzhou, China.
Hui-ming LuoCenter for Disease Control and prevention, Beijing, China.
Guangzhou Center for Disease Control and Prevention · CNZhuhai People's Hospital · CNBeijing Center for Disease Prevention and Control · CNGuangdong Provincial Center for Disease Control and Prevention · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe disease burden associated with influenza in developing tropical and subtropical countries is poorly understood owing to the lack of a comprehensive disease surveillance system and information-exchange mechanisms. The impact of influenza on outpatient visits, hospital admissions, and deaths has not been fully demonstrated to date in south China.

methodsA time series Poisson generalized additive model was used to quantitatively assess influenza-like illness (ILI) and influenza disease burden by using influenza surveillance data in Zhuhai City from 2007 to 2009, combined with the outpatient, inpatient, and respiratory disease mortality data of the same period.

resultsThe influenza activity in Zhuhai City demonstrated a typical subtropical seasonal pattern; however, each influenza virus subtype showed a specific transmission variation. The weekly ILI case number and virus isolation rate had a very close positive correlation (r = 0.774, P < 0.0001). The impact of ILI and influenza on weekly outpatient visits was statistically significant (P < 0.05). We determined that 10.7% of outpatient visits were associated with ILI and 1.88% were associated with influenza. ILI also had a significant influence on the hospitalization rates (P < 0.05), but mainly in populations <25 years of age. No statistically significant effect of influenza on hospital admissions was found (P > 0.05). The impact of ILI on chronic obstructive pulmonary disease (COPD) was most significant (P < 0.05), with 33.1% of COPD-related deaths being attributable to ILI. The impact of influenza on the mortality rate requires further evaluation.

conclusionsILI is a feasible indicator of influenza activity. Both ILI and influenza have a large impact on outpatient visits. Although ILI affects the number of hospital admissions and deaths, we found no consistent influence of influenza, which requires further assessment.

Indexed as

Cost of IllnessAgedAmbulatory CareChinaFemaleHospitalizationHumansInfluenza, HumanMaleMiddle AgedModels, StatisticalPoisson DistributionRespiratory Tract Infections

Identifiers

PMID26894876
PMCPMC4760679
OpenAlexW2284662868

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.