Spatial, temporal, and spatiotemporal analysis of mumps in Guangxi Province, China, 2005–2016
Abstract Background The 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...
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| Format: | Article |
| Language: | English |
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BMC
2018-08-01
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| Series: | BMC Infectious Diseases |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12879-018-3240-4 |
| _version_ | 1818286195060244480 |
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| author | Guoqi Yu Rencong Yang Yi Wei Dongmei Yu Wenwen Zhai Jiansheng Cai Bingshuang Long Shiyi Chen Jiexia Tang Ge Zhong Jian Qin |
| author_facet | Guoqi Yu Rencong Yang Yi Wei Dongmei Yu Wenwen Zhai Jiansheng Cai Bingshuang Long Shiyi Chen Jiexia Tang Ge Zhong Jian Qin |
| author_sort | Guoqi Yu |
| collection | DOAJ |
| description | Abstract Background The 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. Methods Geographic 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. Results A 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. Conclusion The 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. |
| first_indexed | 2024-12-13T01:20:44Z |
| format | Article |
| id | doaj.art-354231b22194422dabd7cfdb2384ad44 |
| institution | Directory Open Access Journal |
| issn | 1471-2334 |
| language | English |
| last_indexed | 2024-12-13T01:20:44Z |
| publishDate | 2018-08-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Infectious Diseases |
| spelling | doaj.art-354231b22194422dabd7cfdb2384ad442022-12-22T00:04:14ZengBMCBMC Infectious Diseases1471-23342018-08-0118111310.1186/s12879-018-3240-4Spatial, temporal, and spatiotemporal analysis of mumps in Guangxi Province, China, 2005–2016Guoqi Yu0Rencong Yang1Yi Wei2Dongmei Yu3Wenwen Zhai4Jiansheng Cai5Bingshuang Long6Shiyi Chen7Jiexia Tang8Ge Zhong9Jian Qin10Department of Environmental and Occupational Health, Guangxi Medical UniversityGuangxi Center for Disease Control and Prevention, Institute of VaccinationDepartment of Environmental and Occupational Health, Guangxi Medical UniversityDepartment of Environmental and Occupational Health, Guangxi Medical UniversityDepartment of Health Related Social and Behavioral Science, West China School of Public Health, Sichuan UniversityDepartment of Environmental and Occupational Health, Guangxi Medical UniversityDepartment of Environmental and Occupational Health, Guangxi Medical UniversityDepartment of Environmental and Occupational Health, Guangxi Medical UniversityDepartment of Environmental and Occupational Health, Guangxi Medical UniversityGuangxi Center for Disease Control and Prevention, Institute of VaccinationDepartment of Environmental and Occupational Health, Guangxi Medical UniversityAbstract Background The 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. Methods Geographic 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. Results A 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. Conclusion The 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.http://link.springer.com/article/10.1186/s12879-018-3240-4MumpsGuangxiSpatial analysisCluster |
| spellingShingle | Guoqi Yu Rencong Yang Yi Wei Dongmei Yu Wenwen Zhai Jiansheng Cai Bingshuang Long Shiyi Chen Jiexia Tang Ge Zhong Jian Qin Spatial, temporal, and spatiotemporal analysis of mumps in Guangxi Province, China, 2005–2016 BMC Infectious Diseases Mumps Guangxi Spatial analysis Cluster |
| title | Spatial, temporal, and spatiotemporal analysis of mumps in Guangxi Province, China, 2005–2016 |
| title_full | Spatial, temporal, and spatiotemporal analysis of mumps in Guangxi Province, China, 2005–2016 |
| title_fullStr | Spatial, temporal, and spatiotemporal analysis of mumps in Guangxi Province, China, 2005–2016 |
| title_full_unstemmed | Spatial, temporal, and spatiotemporal analysis of mumps in Guangxi Province, China, 2005–2016 |
| title_short | Spatial, temporal, and spatiotemporal analysis of mumps in Guangxi Province, China, 2005–2016 |
| title_sort | spatial temporal and spatiotemporal analysis of mumps in guangxi province china 2005 2016 |
| topic | Mumps Guangxi Spatial analysis Cluster |
| url | http://link.springer.com/article/10.1186/s12879-018-3240-4 |
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