Evidence map›Paper›PMID 27184561›Full record

ArticleBMC infectious diseases2016

Detecting spatial-temporal cluster of hand foot and mouth disease in Beijing, China, 2009-2014.

Haikun Qian, Da Huo, Xiaoli Wang, Lei Jia, Xitai Li, Jie Li, Zhiyong Gao, Baiwei Liu, Yi Tian, Xiaona Wu and 1 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Transmission dynamics of brucellosis: Mathematical modelling and applications in China.Computational and structural biotechnology journal · 2020
    Review
  9. Article
  10. Article
  11. 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

11 authors.

Haikun QianBeijing Center for Disease Prevention and Control, No.16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China.
Da HuoBeijing Center for Disease Prevention and Control, No.16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China.
Xiaoli WangBeijing Center for Disease Prevention and Control, No.16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China.
Lei JiaBeijing Center for Disease Prevention and Control, No.16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China.
Xitai LiBeijing Center for Disease Prevention and Control, No.16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China.
Jie LiBeijing Center for Disease Prevention and Control, No.16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China.
Zhiyong GaoBeijing Center for Disease Prevention and Control, No.16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China.
Baiwei LiuBeijing Center for Disease Prevention and Control, No.16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China.
Yi TianBeijing Center for Disease Prevention and Control, No.16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China.
Xiaona WuBeijing Center for Disease Prevention and Control, No.16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China.
Quanyi WangBeijing Center for Disease Prevention and Control, No.16 Hepingli Middle Street, Dongcheng District, Beijing, 100013, China. bjcdcxm@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe incidence of hand, foot, and mouth disease (HFMD) is extremely high, and has constituted a huge disease burden throughout Beijing in recent years. This study aimed to determine the spatiotemporal distribution and epidemic characteristics of HFMD.

methodsDescriptive statistics was used to analyze the data and estimate the epidemic peaks in 2009-2014. Space-time scanning detected spatiotemporal clusters and identified high-risk locations. Global and local Moran's I statistics were used to measure the spatial autocorrelation. Geocoding was performed in ArcGIS, based on the present address codes of the patients and the centroids of the towns. Maps were created in ArcGIS to show the geographic spread of HFMD.

resultsIn total, 220,451probable cases of HFMD were reported in Beijing between January 2009 and December 2014: 12,749 (5.78 %) were laboratory confirmed, and 35 (0.02 %) were fatal. The median age of reported cases was 3.12 years (interquartile range 1.96-4.39). Coxsackievirus A16 (CV-A16), enterovirus 71 (EV-A71), and other enteroviruses accounted for 39.31, 35.36, and 25.33 % of the 12,749 confirmed cases, respectively. Many more severe cases were caused by EV-A71 (χ (2) = 186.41, df = 1, P < 0.001) and other enteroviruses (χ (2) = 156.44, df = 1, P < 0.001) than by CV-A16. A large single distinct peak occurred between May and July each year. Spatiotemporal clusters of HFMD were identified in Beijing during 2009-2014. The most likely clusters were detected and tended to move from the southwest (Fengtai and Daxing) southeastwards to Daxing and Tongzhou in 2009-2014. The incidence of HFMD was not randomly distributed, but showed global and local spatial autocorrelations.

conclusionsThere were obvious spatiotemporal clusters of HFMD in Beijing in 2009-2014. High-incidence areas mainly occurred at the junctions of urban and rural zones. More attention should be paid to the epidemiological and spatiotemporal characteristics of HFMD to establish new strategies for its control. Health issues should be especially promoted in kindergartens and at urban-rural junctions.

Indexed as

AnimalsBeijingChild, PreschoolChinaEnterovirusEpidemicsFemaleHand, Foot and Mouth DiseaseHumansIncidenceInfantMalePregnancySpatial AnalysisEpidemiologyHand, foot, and mouth diseaseSpace–time clusteringSpatial distributionSpatiotemporal

Identifiers

PMID27184561
PMCPMC4869292

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.