ArticleScientific reports2017
Epidemiological Characteristics and Spatial-Temporal Clusters of Mumps in Shandong Province, China, 2005-2014.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
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.
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.
Who cites it
21 citing papers in PubMed.
- Epidemiological characteristics and LSTM-based simulation of mumps incidence in Ningbo, China from 2005 to 2024.BMC public health · 2026Article
- Modeling the drivers of mumps incidence in China: a spatial multi-method analysis.Frontiers in public health · 2026Article
- Modeling mumps incidence in China: spatiotemporal clusters and evolving risk factors (2005-2020).BMC public health · 2025Article
- Spatiotemporal Dynamics of Dengue in the State of Pará and the Socio-Environmental Determinants in Eastern Brazilian Amazon.Infectious disease reports · 2025Article
- Epidemiological characteristics and spatiotemporal analysis of mumps at township level in Wuhan, China, 2005-2019.Epidemiology and infection · 2023Article
- Mumps serological surveillance following 10 years of a one-dose mumps-containing-vaccine policy in Fujian Province, China.Human vaccines & immunotherapeutics · 2022Article
- Article
- Regional analysis of diabetic retinopathy and co-existing social and demographic factors in the overall population of Poland.Archives of medical science : AMS · 2022Article
- Oscillatory properties of class C notifiable infectious diseases in China from 2009 to 2021.Frontiers in public health · 2022Article
- Temporal and Spatial Cluster Analysis of 2019 Novel Coronavirus Pneumonia in Chongqing, 2020.1∼2020.2.Computational intelligence and neuroscience · 2022Article
- Epidemiological characteristics and spatiotemporal analysis of hand-foot-mouth diseases from 2010 to 2019 in Zibo city, Shandong, China.BMC public health · 2021Article
- Analysis of spatial-temporal distribution of notifiable respiratory infectious diseases in Shandong Province, China during 2005-2014.BMC public health · 2021Article
- Estimating the Transmissibility of Mumps: A Modelling Study in Wuhan City, China.Frontiers in medicine · 2021Article
- Introduction of Two-Dose Mumps-Containing Vaccine into Routine Immunization Schedule in Quzhou, China, Using Cox-Proportional Hazard Model.Journal of immunology research · 2021Article
- Spatiotemporal dynamics of hemorrhagic fever with renal syndrome in Jiangxi province, China.Scientific reports · 2020Article
- Ambient air pollution and its influence on human health and welfare: an overview.Environmental science and pollution research international · 2020Review
- Effects of extreme meteorological factors on daily mumps cases in Hefei, China, during 2011-2016.Environmental science and pollution research international · 2020Article
- Epidemiological Characteristics and Spatiotemporal Analysis of Mumps from 2004 to 2018 in Chongqing, China.International journal of environmental research and public health · 2019Article
- Spatiotemporal analysis and forecasting model of hemorrhagic fever with renal syndrome in mainland China.Epidemiology and infection · 2018Article
- Spatial, temporal, and spatiotemporal analysis of mumps in Guangxi Province, China, 2005-2016.BMC infectious diseases · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mumps presents a serious threat to public health in China. We conducted a descriptive analysis to identify the epidemiological characteristics of mumps in Shandong Province. Spatial autocorrelation and space-time scan analyses were utilized to detect spatial-temporal clusters. From 2005 to 2014, 115745 mumps cases were reported in Shandong, with an average male-to-female ratio of 1.94. Mumps occurred mostly in spring (32.17% of all reported cases) and in children aged 5 to 9 (40.79% of all reported cases). The Moran's I test was significant and local indicators of spatial autocorrelation (LISA) analysis revealed significant spatial clusters with high incidence. The results showed that the mid-west of Shandong Province and some coastal regions (Qingdao City and Weihai City) were high-risk areas, particularly in the center of the Jining City and the junction of Dongying City, Binzhou City and Zibo City. The results could assist local and national public health agencies in formulating better public health strategic planning and resource allocation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.