Evidence map›Paper›PMID 25542003›Full record

ArticlePloS one2014

Influenza surveillance and incidence in a rural area in China during the 2009/2010 influenza pandemic.

Ying Zhang, Lin Li, Xiaochun Dong, Mei Kong, Lu Gao, Xiaojing Dong, Wenti Xu

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.2field-weighted citation impact, top 42% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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 at 1 institution in 1 country.

Ying ZhangDepartment of Infectious Disease, Tianjin Centers for Disease Control and Prevention, Tianjin, China.
Lin LiDepartment of Infectious Disease, Tianjin Centers for Disease Control and Prevention, Tianjin, China.
Xiaochun DongDepartment of Infectious Disease, Tianjin Centers for Disease Control and Prevention, Tianjin, China.
Mei KongInstitute of Pathogenic Microbiology, Tianjin Centers for Disease Control and Prevention, Tianjin, China.
Lu GaoDepartment of Infectious Disease, Tianjin Centers for Disease Control and Prevention, Tianjin, China.
Xiaojing DongHangu Centers for Disease Control and Prevention, Binhai New Area, Tianjin, China.
Wenti XuDepartment of Infectious Disease, Tianjin Centers for Disease Control and Prevention, Tianjin, China.
Tianjin Centers for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMost influenza surveillance is based on data from urban sentinel hospitals; little is known about influenza activity in rural communities. We conducted influenza surveillance in a rural region of China with the aim of detecting influenza activity in the 2009/2010 influenza season.

methodsThe study was conducted from October 2009 to March 2010. Real-time polymerase chain reaction was used to confirm influenza cases. Over-the-counter (OTC) drug sales were daily collected in drugstores and hospitals/clinics. Space-time scan statistics were used to identify clusters of ILI in community. The incidence rate of ILI/influenza was estimated on the basis of the number of ILI/influenza cases detected by the hospitals/clinics.

resultsA total of 434 ILI cases (3.88% of all consultations) were reported; 64.71% of these cases were influenza A (H1N1) pdm09. The estimated incidence rate of ILI and influenza were 5.19/100 and 0.40/100, respectively. The numbers of ILI cases and OTC drug purchases in the previous 7 days were strongly correlated (Spearman rank correlation coefficient [r] = 0.620, P = 0.001). Four ILI outbreaks were detected by space-time permutation analysis.

conclusionsThis rural community surveillance detected influenza A (H1N1) pdm09 activity and outbreaks in the 2009/2010 influenza season and enabled estimation of the incidence rate of influenza. It also provides a scientific data for public health measures.

Indexed as

PandemicsSentinel SurveillanceChinaHumansIncidenceInfluenza A Virus, H1N1 SubtypeInfluenza, HumanNonprescription DrugsRural HealthRural PopulationNonprescription Drugs

Identifiers

PMID25542003
PMCPMC4277345
OpenAlexW1977307523

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.