ArticleBMC infectious diseases2018
Spatial, temporal, and spatiotemporal analysis of mumps in Guangxi Province, China, 2005-2016.
Article in BMC infectious diseases, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.
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Who cites it
21 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.
- Meta-analysis of the effects of ambient temperature and relative humidity on the risk of mumps.Scientific reports · 2022Pooled it
- A Systematic Review of Spatial and Spatio-temporal Analyses in Public Health Research in Korea.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2021Pooled it
- Spatiotemporal clustering, socioeconomic drivers and policy evaluation of mumps in Hunan Province, China, 2015-2024.Preventive medicine reports · 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
- Spatial and temporal distribution and evolutionary trend of thyroid cancer incidence in Guangzhou, 2010-2020.Endocrine · 2025Article
- Spatial stratified heterogeneity of mumps incidence in China: a Geodetector-based analysis of driving factors.Frontiers in public health · 2025Article
- Epidemiological Characteristics of Varicella in Anhui Province, China, 2012-2021: Surveillance Study.JMIR public health and surveillance · 2024Article
- Revealing spatiotemporal inequalities, hotspots, and determinants in healthcare resource distribution: insights from hospital beds panel data in 2308 Chinese counties.BMC public health · 2024Article
- The High Seropositivity of Mumps Virus IgG Antibodies among School-Aged Children in Rural Areas of the Mbarali District in the Mbeya Region, Tanzania: It Is High Time for Consideration in the National Immunization Program.Children (Basel, Switzerland) · 2024Article
- Epidemiological characteristics and spatiotemporal analysis of mumps at township level in Wuhan, China, 2005-2019.Epidemiology and infection · 2023Article
- A Multi-Age-Group Interrupted Time-Series Study for Evaluating the Effectiveness of National Expanded Program on Immunization on Mumps.Vaccines · 2022Article
- Article
- Correlation between mumps and meteorological factors in Xiamen City, China: A modelling study.Infectious Disease Modelling · 2022Article
- Epidemiological characteristics of mumps from 2004 to 2020 in Jiangsu, China: a flexible spatial and spatiotemporal analysis.Epidemiology and infection · 2022Article
- Analysis of spatial-temporal distribution of notifiable respiratory infectious diseases in Shandong Province, China during 2005-2014.BMC public health · 2021Article
- Epidemiological changes in mumps infections between 1990 and 2017 in urban area of Shanghai, China.Human vaccines & immunotherapeutics · 2021Article
- Estimating the Transmissibility of Mumps: A Modelling Study in Wuhan City, China.Frontiers in medicine · 2021Article
- Epidemic and control of COVID-19 in Niger: quantitative analyses in a least developed country.Journal of global health · 2020Article
- Effects of extreme meteorological factors on daily mumps cases in Hefei, China, during 2011-2016.Environmental science and pollution research international · 2020Article
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundThe resurgence of mumps around the world occurs frequently in recent years. As the country with the largest number of cases in the world, the status of mumps epidemics in China is not yet clear. This study, taking the relatively serious epidemic province of Guangxi as the example, aimed to examine the spatiotemporal pattern and epidemiological characteristics of mumps, and provide a scientific basis for the effective control of this disease and formulation of related health policies.
methodsGeographic information system (GIS)-based spatiotemporal analyses, including spatial autocorrelation analysis, Kulldorff's purely spatial and space-time scan statistics, were applied to detect the location and extent of mumps high-risk areas. Spatial empirical Bayesian (SEB) was performed to smoothen the rate for eliminating the instability of small-area data.
resultsA total of 208,470 cases were reported during 2005 and 2016 in Guangxi. Despite the fluctuations in 2006 and 2011, the overall mumps epidemic continued to decline. Bimodal seasonal distribution (mainly from April to July) were found and students aged 5-9 years were high-incidence groups. Though results of the global spatial autocorrelation based on the annual incidence largely varied, the spatial distribution of the average annual incidence of mumps was nonrandom with the significant Moran's I. Spatial cluster analysis detected high-value clusters, mainly located in the western, northern and central parts of Guangxi. Spatiotemporal scan statistics identified almost the same high-risk areas, and the aggregation time was mainly concentrated in 2009-2012.
conclusionThe incidence of mumps in Guangxi exhibited spatial heterogeneity in 2005-2016. Several spatial and spatiotemporal clusters were identified in this study, which might assist the local government to develop targeted health strategies, allocate health resources reasonably and increase the efficiency of disease prevention.
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