Evidence map›Paper›PMID 25599373›Full record

ArticleInternational journal of environmental research and public health2015

Cluster of human infections with avian influenza A (H7N9) cases: a temporal and spatial analysis.

Yi Zhang, Zhixiong Shen, Chunna Ma, Chengsheng Jiang, Cindy Feng, Nivedita Shankar, Peng Yang, Wenjie Sun, Quanyi Wang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

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

  1. Pooled it
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  4. Insight into the first multi-epitope-based peptide subunit vaccine against avian influenza A virus (H5N6): An immunoinformatics approach.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2022
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  12. Spatiotemporal Variation and Hotspot Detection of the Avian Influenza A(H7N9) Virus in China, 2013⁻2017.International journal of environmental research and public health · 2019
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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

9 authors.

Yi ZhangBeijing Center for Disease Prevention and Control (CDC), Beijing 100013, China. zps347@163.com.
Zhixiong ShenDepartment of Earth and Environmental Sciences, Tulane University, New Orleans, LA 70118, USA. zshen@coastal.edu.
Chunna MaBeijing Center for Disease Prevention and Control (CDC), Beijing 100013, China. ma_chun_na@126.com.
Chengsheng JiangMaryland Institute for Applied Environmental Health, School of Public Health in University of Maryland, College Park, MD 20742, USA. cjiang89@umd.edu.
Cindy FengSchool of Public Health & The Western College of Veterinary Medicine, University of Saskatchewan, Saskatoon, SK S7N 5E5, Canada. cindy.feng@usask.ca.
Nivedita ShankarSaw Swee Hock School of Public Health, National University of Singapore, Singapore. nivedita_shankar@nuhs.edu.sg.
Peng YangBeijing Center for Disease Prevention and Control (CDC), Beijing 100013, China. yangpengcdc@163.com.
Wenjie SunSchool of Food Science, Guangdong Pharmaceutical University, Zhongshan 528458, China. wsun3@tulane.edu.
Quanyi WangBeijing Center for Disease Prevention and Control (CDC), Beijing 100013, China. bjcdcxm@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aims to describe the spatial and temporal characteristics of human infections with H7N9 virus in China using data from February 2013 to March 2014 from the websites of every province's Population and Family Planning Commission.

methodsA human infection with H7N9 virus dataset was summarized by county to analyze its spatial clustering, and by date of illness onset to analyze its space-time clustering using the ESRI® Geographic Information System (GIS) software ArcMap™ 10.1 and SatScan.

resultsBased on active surveillance data, the distribution map of H7N9 cases shows that compared to the rest of China, the areas from near the Yangtze River delta (YRD) to farther south around the Pearl River delta (PRD) had the highest densities of H7N9 cases. The case data shows a strong space-time clustering in the areas on and near the YRD from 26 March to 18 April 2013 and a weak space-time clustering only in the areas on and near the PRD between 3 and 4 February 2014. However, for the rest of the study period, H7N9 cases were spatial-temporally randomly distributed.

conclusionsOur results suggested that the spatial-temporal clustering of H7N9 in China between 2013 and 2014 is fundamentally different.

Indexed as

Spatial AnalysisAdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaDisease OutbreaksFemaleGeographic Information SystemsHumansInfantInfant, NewbornInfluenza A Virus, H7N9 SubtypeInfluenza, Human

Identifiers

PMID25599373
PMCPMC4306894

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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.