Evidence map›Paper›PMID 29270741›Full record

ArticleJournal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban2017

Application of seasonal auto-regressive integrated moving average model in forecasting the incidence of hand-foot-mouth disease in Wuhan, China.

Ying Peng, Bin Yu, Peng Wang, De-Guang Kong, Bang-Hua Chen, Xiao-Bing Yang

Abstract read
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In one paragraph

Article in Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

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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

6 authors.

Ying PengWuhan Centers for Disease Prevention and Control, Wuhan, 430015, China.
Bin YuWuhan Centers for Disease Prevention and Control, Wuhan, 430015, China.
Peng WangWuhan Centers for Disease Prevention and Control, Wuhan, 430015, China.
De-Guang KongWuhan Centers for Disease Prevention and Control, Wuhan, 430015, China.
Bang-Hua ChenWuhan Centers for Disease Prevention and Control, Wuhan, 430015, China.
Xiao-Bing YangWuhan Centers for Disease Prevention and Control, Wuhan, 430015, China. yangxiaobingnn@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Outbreaks of hand-foot-mouth disease (HFMD) have occurred many times and caused serious health burden in China since 2008. Application of modern information technology to prediction and early response can be helpful for efficient HFMD prevention and control. A seasonal auto-regressive integrated moving average (ARIMA) model for time series analysis was designed in this study. Eighty-four-month (from January 2009 to December 2015) retrospective data obtained from the Chinese Information System for Disease Prevention and Control were subjected to ARIMA modeling. The coefficient of determination (R

Indexed as

AlgorithmsModels, StatisticalChinaDisease OutbreaksEmergency Medical Service Communication SystemsEpidemiological MonitoringForecastingHand, Foot and Mouth DiseaseHumansIncidenceauto-regressive integrated moving average (ARIMA)forecasthand-foot-mouth diseasemodelingsurveillance

Identifiers

What OpenQuestion holds

Textmetadata
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.