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Objective To explore the spatiotemporal distribution pattern, and identify risk cluster of esophageal cancer in Huai’an City so as to provide evidence for control and prevention of esophageal cancer. Methods Data of esophageal cancer incidence at township level in Huai’an City from 2011 to 2015 was collected. Spatial autocorrelation and local indications of spatial autocorrelation (LISA) were implemented to evaluate the spatial pattern of esophageal cancer incidence. Spatial scan statistics was used to examine spatio-temporal clustering of risk areas. Results The average incidence of esophageal cancer in Huai’an from 2011 to 2015 was 67.12/10 million, the incidence of male was significantly higher than that of female. The results of Moran’s I values implyed the spatial autocorrelation at township level. The results of LISA indicated that there were local hot spots and cold spots. The significant high-risk clusters included townships in Huai’an County, Huaiyin County and Jinhu County. The low-risk clusters were located in the main urban area and Xuyi County. Conclusions There are significant spatio-temporal aggregation for the distribution of incidence of esophageal cancer in Huai’an City and same spatiotemporal high-risk clusters between male and female. Our findings have a foundation to explore the multi-factorial etiology of esophageal cancer and have vital practical value for health services and policies implementation.
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Objective To explore the spatial-temporal characteristics and changing regularities of Schistosoma japonicum in-fections among human from 2004 to 2011. Methods The township level spatial databases of schistosomiasis in Hunan Province from 2004 to 2011 were established,and the related spatial analysis was performed by SPSS 17.0,ArcGIS 10.1 and SaTScan 7.03. Results The schistosome infection rate among human in Hunan Province sharply decreased from 3.0％in 2004 to 0.8％in 2011. However,the rate among residents in parts of some townships in 2011 was still hovering at a higher level (P90=2.12％),and the higher rate was distributed along the Oncomelania hupensis snail ridden areas outside embankment. The auto-correlation analysis showed that the global Moran's I for schistosome infection rate among human was 0.34 to 0.53 from 2004 to 2011,and was higher than the expected value(Z>8.71,P<0.05). The local G statistics indicated that the positive hotspot high-high clustering areas were mainly near the coast of Dongting Lake from 2004 to 2011,and the number of townships with schistosomiasis endemic in the clustering areas reached 30 to 70. The spatial scan analysis showed that the number of townships in the clustering areas ran up to 145 to 183 from 2004 to 2011. Conclusions The schistosome infection rate among human de-creased significantly in Hunan Province from 2004 to 2011. However,the rate in parts of some townships still remains at a com-paratively high level,and there are positive spatial correlation and spatial agglomerations in the schistosome infection rate among human,suggesting that the prevention and control work on schistosomiasis in these areas should be strengthened in the fu-ture.
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@#<p style="text-align: justify;"><strong>BACKGROUND AND OBJECTIVE:</strong> With an aim of developing an effective disease monitoring and surveillance of dengue fever, this study intends to analyze the spatial distribution of dengue incidences in the National Capital Region (NCR), across four years of reported dengue cases.<br /><strong>MATERIALS AND METHODS:</strong> Data used was provided by the Department of Health (DOH) consisting of all reported dengue cases in NCR from 2010-2013. For mapping and visualization, a shapefile of NCR was made readily available by www.philgis.org. Both Moran's I and Kulldorff's spatial scan statistics (SaTScan) were used to identify clusters across the same time period.<br /><strong>RESULTS AND CONCLUSION:</strong> The analyses identified significant clustering of dengue incidence and revealed that the northern cities of NCR, such as Caloocan, Malabon, Navotas and Valenzuela, exhibited high spatial autocorrelation using local Moran's I and Kulldorff's SaTScan. A temporal analysis of the results also suggested movement in increased dengue incidence through time, from the northwest cities to the northeast cities. Presence of spatial autocorrelation in dengue incidence suggests possible enhancements of early detection schemes for dengue surveillance. Moreover, the results of these analyses will be of interest to both policymakers and health experts in providing a basis for which they can properly allocate resources for the prevention and treatment of dengue fever.</p>
Subject(s)
Dengue , Disease HotspotABSTRACT
Objective To analyze the spatial and temporal distribution of smear positive pulmonary tuberculosis (PTB) in Liangshan Yi autonomous prefecture in Sichuan province from 2011 to 2016. Methods The registration data of PTB in 618 townships of Liangshan from 2011 to 2016 were collected from"Tuberculosis Management Information System of National Disease Prevention and Control Information System". Software ArcGIS 10.2 was used to establish the geographic information database and realize the visualization of the analysis results. Software OpenGeoda 1.2.0 was used to conduct the analyses on global indication of spatial autocorrelation (GISA) and local indication of spatial autocorrelation (LISA). Software SaTScan 9.4.1 was used for spatio-temporal scanning analysis. Results From 2011 to 2016, the registration rate of smear positive PTB in Liangshan declined from 56.97/100000 (2666 cases) to 21.11/100000 (1038 cases). The global spatial autocorrelation coefficient Moran's I ranged from 0.25 to 0.45 and the difference was significant (all P=0.000). Local autocorrelation analysis showed that"high-high"area covered 43, 34, 37, 34, 42 and 61 townships from 2011 to 2016, respectively, mainly in Leibo county. Spatial temporal clustering analysis found one class Ⅰ clustering in the area around Bagu township of Meigu county and two class Ⅱ clustering in the areas around Liumin and Hekou township of Huili county, respectively (all P=0.000). Conclusion Obvious spatial temporal clustering of smear positive PTB distribution was found in Liangshan from 2011-2016. Hot spot areas with serious smear positive PTB epidemic and high spread risk were mainly found in northeastern Liangshan, including townships in Leibo and Meigu counties. Targeted TB prevention and control should be conducted in these areas.
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Objective To analyze the epidemiological characteristics of temporal-spatial distribution on varicella in Guangxi Zhuang Autonomous Region (Guangxi) during 2014 to 2016.Methods Incidence data on varicella was collected from the National Notifiable Infectious Disease Reporting Information System (NNIDRIS) of the Center for Disease Control and Prevention (CDC)while geographic information data was from the national CDC.ArcGIS 10.2 software was used to analyze global and local spatial auto correlation on spatial clusters.SaTScan v9.1.1 was used to conduct temporal-spatial scan for exploring the areas of temporal-spatial clusters.Results The overall incidence rates of varicella during 2014 to 2016 were 32.48/100 000,43.56/100 000 and 61.56/100 000 respectively.Incidence of varicella showed a positive spatial auto correlation at the county level (the value of Moran's I was between 0.24 to 0.35,P＜0.01),with consistent high morbidity.High-high cluster areas were seen and mainly concentrated in the north-western areas of Guangxi.Result from the temporal-spatial scan showed that temporal cluster of varicella occurred mainly between October and next January while the type I cluster area was mainly distributed in all of the counties in Hechi city and most counties of Baise city,with most counties being covered in the north-western areas of Guangxi,during 2014-2016.When comparing to data from the last two years,two type Ⅱ cluster areas with larger scales were formed in the north-eastern area of Guanyang county and Haicheng county of southem area in Guangxi,in 2016.Conclusions Incidence on Varicella seemed on the rise,and the distribution of cases showed clustered features,both on time and space.Strategies regarding control and prevention on Varicella should focus on high-high clustered areas,namely north-western areas of the province,including surrounding areas during the high onset season.
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Objective To analyze the spatial and temporal distribution of smear positive pulmonary tuberculosis (PTB) in Liangshan Yi autonomous prefecture in Sichuan province from 2011 to 2016. Methods The registration data of PTB in 618 townships of Liangshan from 2011 to 2016 were collected from"Tuberculosis Management Information System of National Disease Prevention and Control Information System". Software ArcGIS 10.2 was used to establish the geographic information database and realize the visualization of the analysis results. Software OpenGeoda 1.2.0 was used to conduct the analyses on global indication of spatial autocorrelation (GISA) and local indication of spatial autocorrelation (LISA). Software SaTScan 9.4.1 was used for spatio-temporal scanning analysis. Results From 2011 to 2016, the registration rate of smear positive PTB in Liangshan declined from 56.97/100000 (2666 cases) to 21.11/100000 (1038 cases). The global spatial autocorrelation coefficient Moran's I ranged from 0.25 to 0.45 and the difference was significant (all P=0.000). Local autocorrelation analysis showed that"high-high"area covered 43, 34, 37, 34, 42 and 61 townships from 2011 to 2016, respectively, mainly in Leibo county. Spatial temporal clustering analysis found one class Ⅰ clustering in the area around Bagu township of Meigu county and two class Ⅱ clustering in the areas around Liumin and Hekou township of Huili county, respectively (all P=0.000). Conclusion Obvious spatial temporal clustering of smear positive PTB distribution was found in Liangshan from 2011-2016. Hot spot areas with serious smear positive PTB epidemic and high spread risk were mainly found in northeastern Liangshan, including townships in Leibo and Meigu counties. Targeted TB prevention and control should be conducted in these areas.
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Objective To analyze the epidemiological characteristics of temporal-spatial distribution on varicella in Guangxi Zhuang Autonomous Region (Guangxi) during 2014 to 2016.Methods Incidence data on varicella was collected from the National Notifiable Infectious Disease Reporting Information System (NNIDRIS) of the Center for Disease Control and Prevention (CDC)while geographic information data was from the national CDC.ArcGIS 10.2 software was used to analyze global and local spatial auto correlation on spatial clusters.SaTScan v9.1.1 was used to conduct temporal-spatial scan for exploring the areas of temporal-spatial clusters.Results The overall incidence rates of varicella during 2014 to 2016 were 32.48/100 000,43.56/100 000 and 61.56/100 000 respectively.Incidence of varicella showed a positive spatial auto correlation at the county level (the value of Moran's I was between 0.24 to 0.35,P＜0.01),with consistent high morbidity.High-high cluster areas were seen and mainly concentrated in the north-western areas of Guangxi.Result from the temporal-spatial scan showed that temporal cluster of varicella occurred mainly between October and next January while the type I cluster area was mainly distributed in all of the counties in Hechi city and most counties of Baise city,with most counties being covered in the north-western areas of Guangxi,during 2014-2016.When comparing to data from the last two years,two type Ⅱ cluster areas with larger scales were formed in the north-eastern area of Guanyang county and Haicheng county of southem area in Guangxi,in 2016.Conclusions Incidence on Varicella seemed on the rise,and the distribution of cases showed clustered features,both on time and space.Strategies regarding control and prevention on Varicella should focus on high-high clustered areas,namely north-western areas of the province,including surrounding areas during the high onset season.