ArticleBMC infectious diseases2017
Spatial, temporal and spatio-temporal clusters of measles incidence at the county level in Guangxi, China during 2004-2014: flexibly shaped scan statistics.
Article in BMC infectious diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed.
- Fitting dynamic measles models to subnational case notification data from Ethiopia: Methodological challenges and key considerations.PLoS computational biology · 2025Article
- Spatial and temporal distribution characteristics and geographic contexts of civilized villages in China.PloS one · 2024Article
- Epidemiological characteristics of mumps from 2004 to 2020 in Jiangsu, China: a flexible spatial and spatiotemporal analysis.Epidemiology and infection · 2022Article
- Comparing the space-time patterns of high-risk areas in different waves of COVID-19 in Hong Kong.Transactions in GIS : TG · 2021Article
- Identifying the space-time patterns of COVID-19 risk and their associations with different built environment features in Hong Kong.The Science of the total environment · 2021Article
- Geographic disparities, determinants, and temporal changes in the prevalence of pre-diabetes in Florida.PeerJ · 2021Article
- Detecting space-time clusters of COVID-19 in Brazil: mortality, inequality, socioeconomic vulnerability, and the relative risk of the disease in Brazilian municipalities.Journal of geographical systems · 2021Article
- Notifiable Respiratory Infectious Diseases in China: A Spatial-Temporal Epidemiology Analysis.International journal of environmental research and public health · 2020Article
- Spatiotemporal Distribution of Tuberculosis during Urbanization in the New Urban Area of Nanchang City, China, 2010-2018.International journal of environmental research and public health · 2019Article
- Observational study of a new strategy and management policy for measles prevention in medical personnel in a hospital setting.BMC infectious diseases · 2019Observational
- Multistate analysis of prospective Legionnaires' disease cluster detection using SaTScan, 2011-2015.PloS one · 2019Article
- Measles Cluster Detection Using Ordinal Scan Statistic Model.Materia socio-medica · 2018Article
- Spatial, temporal, and spatiotemporal analysis of mumps in Guangxi Province, China, 2005-2016.BMC infectious diseases · 2018Article
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6 authors.
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Abstract
backgroundOutbreaks of measles re-emerged in Guangxi province during 2013-2014, where measles again became a major public health concern. A better understanding of the patterns of measles cases would help in identifying high-risk areas and periods for optimizing preventive strategies, yet these patterns remain largely unknown. Thus, this study aimed to determine the patterns of measles clusters in space, time and space-time at the county level over the period 2004-2014 in Guangxi.
methodsAnnual data on measles cases and population sizes for each county were obtained from Guangxi CDC and Guangxi Bureau of Statistics, respectively. Epidemic curves and Kulldorff's temporal scan statistics were used to identify seasonal peaks and high-risk periods. Tango's flexible scan statistics were implemented to determine irregular spatial clusters. Spatio-temporal clusters in elliptical cylinder shapes were detected by Kulldorff's scan statistics. Population attributable risk percent (PAR%) of children aged ≤24 months was used to identify regions with a heavy burden of measles.
resultsSeasonal peaks occurred between April and June, and a temporal measles cluster was detected in 2014. Spatial clusters were identified in West, Southwest and North Central Guangxi. Three phases of spatio-temporal clusters with high relative risk were detected: Central Guangxi during 2004-2005, Midwest Guangxi in 2007, and West and Southwest Guangxi during 2013-2014. Regions with high PAR% were mainly clustered in West, Southwest, North and Central Guangxi.
conclusionsA temporal uptrend of measles incidence existed in Guangxi between 2010 and 2014, while downtrend during 2004-2009. The hotspots shifted from Central to West and Southwest Guangxi, regions overburdened with measles. Thus, intensifying surveillance of timeliness and completeness of routine vaccination and implementing supplementary immunization activities for measles should prioritized in these regions.
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