Evidence map›Paper›PMID 28817101›Full record

ArticleInternational journal of environmental research and public health2017

Forecasting the Incidence of Mumps in Zibo City Based on a SARIMA Model.

Qinqin Xu, Runzi Li, Yafei Liu, Cheng Luo, Aiqiang Xu, Fuzhong Xue, Qing Xu, Xiujun Li

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Association between Meteorological Factors and Mumps and Models for Prediction in Chongqing, China.International journal of environmental research and public health · 2022
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Spatial and Temporal Analysis ofInternational journal of environmental research and public health · 2020
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Observational
  14. Article
  15. Modelling the Transmission Dynamics and Control of Mumps in Mainland China.International journal of environmental research and public health · 2017
    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

8 authors.

Qinqin XuDepartment of Biostatistics, School of Public Health, Shandong University, Jinan 250012, China. xu_qinqin@126.com.
Runzi LiDepartment of Biostatistics, School of Public Health, Shandong University, Jinan 250012, China. runzi_li@hotmail.com.
Yafei LiuDepartment of Biostatistics, School of Public Health, Shandong University, Jinan 250012, China. liuyafei@mail.sdu.edu.cn.
Cheng LuoDepartment of Biostatistics, School of Public Health, Shandong University, Jinan 250012, China. luomadcheng@hotmail.com.
Aiqiang XuShandong Center for Disease Control and Prevention, Jinan 250014, China. aqxuepi@163.com.
Fuzhong XueDepartment of Biostatistics, School of Public Health, Shandong University, Jinan 250012, China. xuefzh@sdu.edu.cn.
Qing XuShandong Center for Disease Control and Prevention, Jinan 250014, China. xqepi@163.com.
Xiujun LiDepartment of Biostatistics, School of Public Health, Shandong University, Jinan 250012, China. xjli@sdu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to predict the incidence of mumps using a seasonal autoregressive integrated moving average (SARIMA) model, and provide theoretical evidence for early warning prevention and control in Zibo City, Shandong Province, China. Monthly mumps data from Zibo City gathered between 2005 and 2013 were used as a training set to construct a SARIMA model, and the monthly mumps in 2014 were defined as a test set for the model. From 2005 to 2014, a total of 8722 cases of mumps were reported in Zibo City; the male-to-female ratio of cases was 1.85:1, the age group of 1-20 years old accounted for 94.05% of all reported cases, and students made up the largest proportion (65.89%). The main serious endemic areas of mumps were located in Huantai County, Linzi District, and Boshan District of Zibo City. There were two epidemic peaks from April to July and from October to January in next year. The fitted model SARIMA (0, 1, 1) (0, 1, 1)

Indexed as

EpidemicsAdolescentChildChild, PreschoolChinaCitiesFemaleForecastingHumansIncidenceInfantMaleMumpsRetrospective StudiesSeasonsYoung Adultinfectious disease epidemiologymumpsSARIMA modeltime series analysis

Identifiers

PMID28817101
PMCPMC5580627

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.