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@#Abstract: Objective To analyze the spatial-temporal characteristics of the active pulmonary tuberculosis (PTB) and the pathogenic positive PTB in Fuling District of Chongqing during the 13th Five-Year Plan period, so as to explore the clustering areas, and provide scientific basis for the precise prevention and control of tuberculosis in Fuling District. Methods The PTB registration data of 27 townships in Fuling District from 2016 to 2020 were collected. The descriptive analysis were used to describe the temporal and spatial distribution characteristics of patients, SaTScan9.0 and ArcGis10.6 was used for spatial-temporal scanning analysis and local auto-correlation analysis. The results were visualized by ArcGis10.6. Results A total of 4 038 case of active PTB patients were registered and a downward trend was observed in PTB during the 13th Five-Year Plan period in Fuling District. The average annual registration rate of PTB was 70.17/100 000, and the annual PTB registration rate declined by 8.21%. The peak of active PTB and etiological positive PTB were mainly concentrated in March and June respectively. The top five streets of cumulative active PTB patients registered were Lizhi street, Dunren street, Chongyi street, Ma 'an street and Jiangdong street, accounting for 60.18% of the total registered PTB patients during the 13th Five-Year Plan period. The top three average annual registration rates were Dunren street (101.35/100 000), Chongyi street (101.34/100 000) and Wulingshan Township (99.21/100 000). The registered PTB from 2016 to 2020 showed a global auto-correlation (Moran's I=0.64, P<0.0001). The "high-high" area of active PTB and the etiological positive PTB all covered Lizhi street, Jiangdong street and Longqiao street. By scanning analysis of spatial-temporal, the primary cluster of active PTB concentrated in the main urban area south of the Yangtze River in Fuling during January 2016 to December 2017, and the primary cluster of pathogenic positive PTB concentrated in the main urban area south of the Yangtze River in Fuling and Jiangdong street during January 2019 to December 2020. Conclusions During the 13th Five-Year Plan period, there was the spatial-temporal clustering of PTB in Fuling District, which mainly gathered in the main urban area south of the Yangtze River in Fuling district and surrounding streets centered on Lizhi street.
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Objective: It analyzed the current situation and influencing factors of provincial essential public health service level index(PHI) in 2016. The ordinary least square(OLS) and the geographically weighted regression model(GWR) were constructed respectively. The advan-tages of GWR in the field of health economics were compared. Methods: Moran’s I was used to analyze spatial auto-correlation and hetero-geneity of PHI. OLS and GWR models were constructed to estimate the main influencing factors and their directions. Results: There were a positive spatial auto-correlation in provincial PHI and a weak agglomeration pattern in geographical distribution; the level of economic devel-opment and government funding, population size, population structure and population urbanization level were the main influencing factors of the PHI. There was spatial heterogeneity in provincial regression indexes estimated by GWR. Conclusion: When dealing with geographically related issues in the health economics, the GWR model was better than the OLS with a higher degree of goodness of fit.
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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 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.