ABSTRACT
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.
ABSTRACT
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.
ABSTRACT
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.
ABSTRACT
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.