Pulmonary Tuberculosis Notification Rate Within Shenzhen, China, 2010-2019: Spatial-Temporal Analysis.

BACKGROUND: Pulmonary tuberculosis (PTB) is a chronic communicable disease of major public health and social concern. Although spatial-temporal analysis has been widely used to describe distribution characteristics and transmission patterns, few studies have revealed the changes in the small-scale clustering of PTB at the street level. OBJECTIVE: The aim of this study was to analyze the temporal and spatial distribution characteristics and clusters of PTB at the street level in the Shenzhen municipality of China to provide a reference for PTB prevention and control. METHODS: Data of reported PTB cases in Shenzhen from January 2010 to December 2019 were extracted from the China Information System for Disease Control and Prevention to describe the epidemiological characteristics. Time-series, spatial-autocorrelation, and spatial-temporal scanning analyses were performed to identify the spatial and temporal patterns and high-risk areas at the street level. RESULTS: A total of 58,122 PTB cases from 2010 to 2019 were notified in Shenzhen. The annual notification rate of PTB decreased significantly from 64.97 per 100,000 population in 2010 to 43.43 per 100,000 population in 2019. PTB cases exhibited seasonal variations with peaks in late spring and summer each year. The PTB notification rate was nonrandomly distributed and spatially clustered with a Moran I value of 0.134 (P=.02). One most-likely cluster and 10 secondary clusters were detected, and the most-likely clustering area was centered at Nanshan Street of Nanshan District covering 6 streets, with the clustering time spanning from January 2010 to November 2012. CONCLUSIONS: This study identified seasonal patterns and spatial-temporal clusters of PTB cases at the street level in the Shenzhen municipality of China. Resources should be prioritized to the identified high-risk areas for PTB prevention and control.

Spatial-temporal distribution of pulmonary tuberculosis registered in Fuling District of Chongqing during the 13th Five-Year Plan period / 中国热带医学

@#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.

The characteristics of spatial-temporal distribution and cluster of tuberculosis in Yunnan Province, China, 2005-2018.

BACKGROUND: Tuberculosis (TB) makes a big challenge to public health, especially in high TB burden counties of China and Greater Mekong Subregion (GMS). The aim of this study was to identify the spatial-temporal dynamic process and high-risk region of notified pulmonary tuberculosis (PTB), sputum smear-positive tuberculosis (SSP-TB) and sputum smear-negative tuberculosis (SSN-TB) cases in Yunnan, the south-western of China between years of 2005 to 2018. Meanwhile, to evaluate the similarity of prevalence pattern for TB among GMS. METHODS: Data for notified PTB were extracted from the China Information System for Disease Control and Prevention (CISDCP) correspond to population information in 129 counties of Yunnan between 2005 to 2018. Seasonally adjusted time series defined the trend cycle and seasonality of PTB prevalence. Kulldorff's space-time scan statistics was applied to identify temporal, spatial and spatial-temporal PTB prevalence clusters at county-level of Yunnan. Pearson correlation coefficient and hierarchical clustering were applied to define the similarity of TB prevalence among borders with GMS. RESULT: There were a total of 381,855 notified PTB cases in Yunnan, and the average prevalence was 59.1 per 100,000 population between 2005 to 2018. A declined long-term trend with seasonality of a peak in spring and a trough in winter for PTB was observed. Spatial-temporal scan statistics detected the significant clusters of PTB prevalence, the most likely cluster concentrated in the northeastern angle of Yunnan between 2011 to 2015 (RR = 2.6, P < 0.01), though the most recent cluster for PTB and spatial cluster for SSP-TB was in borders with GMS. There were six potential TB prevalence patterns among GMS. CONCLUSION: This study detected aggregated time interval and regions for PTB, SSP-TB, and SSN-TB at county-level of Yunnan province. Similarity prevalence pattern was found in borders and GMS. The localized prevention strategy should focus on cross-boundary transmission and SSN-TB control.

[Spatial-temporal cluster of hemorrhagic fever with renal syndrome in Hebei province, 2005-2016].

Objective: To explore the spatial-temporal distribution and epidemic characteristics of hemorrhagic fever with renal syndrome (HFRS) in Hebei province from 2005 to 2016. Methods: Records of HFRS cases reported from each county in Hebei during January 2005 to December 2016 were collected from National Notifiable Disease Surveillance System (NNDSS). Global and local spatial association statistics were used to measure the spatial autocorrelation and software GeoDa 1.2.0. Software SaTScan 9.4.1 was used to analyze spatiotemporal clusters. Software ArcGIS 10.2 was used to visualize the yearly scan results. Results: In Hebei province, a total of 8 437 human HFRS cases reported from 170 counties with an annual incidence rate of 0.99/100 000 population during 2005-2016. The peak incidence season was spring. Global spatial autocorrelation analysis on the incidence of HFRS at county-level showed that the value of Moran's I were all above 0 (P<0.05), indicating that the significant spatial cluster. The result of local indicators on spatial association (LISA) analysis revealed that identified hot spots were mainly in northeastern area, while cold spots were found in some counties of central and southern areas. Spatial-temporal scan detected that the primary cluster of HFRS incidence was mainly distributed in Qinhuangdao city and Tangshan city, including 11 counties (city/district): Beidaihe district, Haigang district, Funing district, Shanhaiguan district, Changli county, Lulong county and Qinglong Manchu autonomous county in Qinhuangdao city, and Qian'an city, Laoting county, Luanzhou city and Luannan county in Tangshan city (RR=39.64, P<0.001), during January-July in 2005. Conclusions: There were significant spatial-temporal cluster of HFRS in Hebei from 2005 to 2016. The cluster areas of HFRS were mainly in northeastern Hebei, it is necessary to strengthen the prevention and control programs of HFRS in these areas.

Spatial-temporal cluster of hemorrhagic fever with renal syndrome in Hebei province, 2005-2016 / 中华流行病学杂志

Objective@#To explore the spatial-temporal distribution and epidemic characteristics of hemorrhagic fever with renal syndrome (HFRS) in Hebei province from 2005 to 2016.@*Methods@#Records of HFRS cases reported from each county in Hebei during January 2005 to December 2016 were collected from National Notifiable Disease Surveillance System (NNDSS). Global and local spatial association statistics were used to measure the spatial autocorrelation and software GeoDa 1.2.0. Software SaTScan 9.4.1 was used to analyze spatiotemporal clusters. Software ArcGIS 10.2 was used to visualize the yearly scan results.@*Results@#In Hebei province, a total of 8 437 human HFRS cases reported from 170 counties with an annual incidence rate of 0.99/100 000 population during 2005-2016. The peak incidence season was spring. Global spatial autocorrelation analysis on the incidence of HFRS at county-level showed that the value of Moran’s I were all above 0 (P<0.05), indicating that the significant spatial cluster. The result of local indicators on spatial association (LISA) analysis revealed that identified hot spots were mainly in northeastern area, while cold spots were found in some counties of central and southern areas. Spatial-temporal scan detected that the primary cluster of HFRS incidence was mainly distributed in Qinhuangdao city and Tangshan city, including 11 counties (city/district): Beidaihe district, Haigang district, Funing district, Shanhaiguan district, Changli county, Lulong county and Qinglong Manchu autonomous county in Qinhuangdao city, and Qian’an city, Laoting county, Luanzhou city and Luannan county in Tangshan city (RR=39.64, P<0.001), during January-July in 2005.@*Conclusions@#There were significant spatial-temporal cluster of HFRS in Hebei from 2005 to 2016. The cluster areas of HFRS were mainly in northeastern Hebei, it is necessary to strengthen the prevention and control programs of HFRS in these areas.

Analysis on spatial epidemiological characteristics of human infection with avian influenza A(H7N9) virus in Fujian Province / 中华疾病控制杂志

Objective The aim is to analyze the spatial epidemiological characteristics for human infection with avian influenza H7N9 in Fujian Province, so as to provide scientific evidence for developing and adjusting related control strategies. Methods The epidemiological data of human infection with H7N9 avian influenza in Fujian Province, from 2013 to 2017 was analyzed by SAS 9.2, ArcGIS 10.3 and SaTScan 9.4 software.Results There were a total of 108 cases and 28 deaths reported in Fujian Province, up to December 31, 2017. The case fatality rate was 25.93%.96.30% of cases were sporadic. There were more incidences in winters and springs, more incidences in rural areas. The global spatial autocorrelation and high/low clustering analysis indicated that clusters at the county level were in the shore areas (Z=3.74, P<0.001; Z=5.26, P<0.001). The cities of Changle, Fuqing, Jinjiang and Siming were the high-high clustered areas and local hot-points. There were two clusters, from December 2014 to March 2015, the most likely cluster regions was centered around Zhangpu County with a radius of 63.04 km (RR=4.72, LLR=11.41, P<0.001). The secondary cluster regions was centered around Fuqing City with a radius of 81.98 km (RR=4.07, LLR=7.96, P=0.037). Conclusions Human infection with avian influenza H7N9 in Fujian Province is spatially and temporally clustered. The measures of prevention and control should be focused on high incidence seasons and key regions, and the surveillance of etiology should be strengthened.

[Analysis on epidemiology and spatial-temporal clustering of human brucellosis in Fujian province, 2011-2016].

Objective: To analyze the epidemiological characteristics and spatial distribution of human brucellosis in Fujian province during 2011-2016, and provide evidence for the prevention and control of the disease. Methods: The surveillance data of human brucellosis in Fujian during 2011-2016 was analyzed with software R 3.3.1, ArcGIS 10.3.1, GeoDa 1.8.8 and SaTScan 9.4.3. Results: During 2011-2016, a total of 319 human brucellosis cases were reported, the incidence increased year by year (F=11.838, P=0.026) with the annual incidence of 0.14/100 000. The male to female rate ratio of the incidence was 2.50 ∶ 1. Farmers and herdsmen accounted for 57.37%. The incidence was 0.40/100 000 in Zhangzhou and 0.32/100 000 in Nanping, which were higher than other areas. The number of affected counties (district) increased from 12 in 2011 to 28 in 2016, showing a significant increase (F=13.447, P=0.021). The Moran's I of brucellosis in Fujian between January 2011 and December 2016 was 0.045, indicating the presence of a high value or low value clustering areas. Local spatial autocorrelation analysis showed that, high-high clustering area (hot spots) were distributed in Zhangpu, Longhai, Longwen, etc, while high-low clustering areas were distributed in Nan'an and Jiaocheng, etc. Temporal scanning showed that there were three clustering areas in areas with high incidence, the most possible clustering, occurring during January 1, 2013- December 31,2015, covered 6 counties, including Yunxiao, Pinghe, Longhai, etc, and Zhangpu was the center, (RR=7.96, LLR=92.62, P<0.001). Conclusions: The epidemic of human brucellosis in Fujian is becoming serious, and has spread to general population and non-epidemic areas. It is necessary to strengthen the prevention and control of human brucellosis in areas at high risk.

Analysis on epidemiology and spatial-temporal clustering of human brucellosis in Fujian province, 2011-2016 / 中华流行病学杂志

Objective To analyze the epidemiological characteristics and spatial distribution of human brucellosis in Fujian province during 2011-2016,and provide evidence for the prevention and control of the disease.Methods The surveillance data of human brucellosis in Fujian during 2011-2016 was analyzed with software R 3.3.1,ArcGIS 10.3.1,GeoDa 1.8.8 and SaTScan 9.4.3.Results During 2011-2016,a total of 319 human brucellosis cases were reported,the incidence increased year by year (F=11.838,P=0.026) with the annual incidence of 0.14/100 000.The male to female rate ratio of the incidence was 2.50 ∶ 1.Farmers and herdsmen accounted for 57.37％.The incidence was 0.40/100 000 in Zhangzhou and 0.32/100 000 in Nanping,which were higher than other areas.The number of affected counties (district) increased from 12 in 2011 to 28 in 2016,showing a significant increase (F=13.447,P=0.021).The Moran' s I of brucellosis in Fujian between January 2011 and December 2016 was 0.045,indicating the presence of a high value or low value clustering areas.Local spatial autocorrelation analysis showed that,high-high clustering area (hot spots) were distributed in Zhangpu,Longhai,Longwen,etc,while high-low clustering areas were distributed in Nan' an and Jiaocheng,etc.Temporal scanning showed that there were three clustering areas in areas with high incidence,the most possible clustering,occurring during January 1,2013-December 31,2015,covered 6 counties,including Yunxiao,Pinghe,Longhai,etc,and Zhangpu was the center,(RR =7.96,LLR=92.62,P＜0.001).Conclusions The epidemic of human brucellosis in Fujian is becoming serious,and has spread to general population and non-epidemic areas.It is necessary to strengthen the prevention and control of human brucellosis in areas at high risk.

Analysis on epidemiology and spatial-temporal clustering of human brucellosis in Fujian province, 2011-2016 / 中华流行病学杂志

Objective To analyze the epidemiological characteristics and spatial distribution of human brucellosis in Fujian province during 2011-2016,and provide evidence for the prevention and control of the disease.Methods The surveillance data of human brucellosis in Fujian during 2011-2016 was analyzed with software R 3.3.1,ArcGIS 10.3.1,GeoDa 1.8.8 and SaTScan 9.4.3.Results During 2011-2016,a total of 319 human brucellosis cases were reported,the incidence increased year by year (F=11.838,P=0.026) with the annual incidence of 0.14/100 000.The male to female rate ratio of the incidence was 2.50 ∶ 1.Farmers and herdsmen accounted for 57.37％.The incidence was 0.40/100 000 in Zhangzhou and 0.32/100 000 in Nanping,which were higher than other areas.The number of affected counties (district) increased from 12 in 2011 to 28 in 2016,showing a significant increase (F=13.447,P=0.021).The Moran' s I of brucellosis in Fujian between January 2011 and December 2016 was 0.045,indicating the presence of a high value or low value clustering areas.Local spatial autocorrelation analysis showed that,high-high clustering area (hot spots) were distributed in Zhangpu,Longhai,Longwen,etc,while high-low clustering areas were distributed in Nan' an and Jiaocheng,etc.Temporal scanning showed that there were three clustering areas in areas with high incidence,the most possible clustering,occurring during January 1,2013-December 31,2015,covered 6 counties,including Yunxiao,Pinghe,Longhai,etc,and Zhangpu was the center,(RR =7.96,LLR=92.62,P＜0.001).Conclusions The epidemic of human brucellosis in Fujian is becoming serious,and has spread to general population and non-epidemic areas.It is necessary to strengthen the prevention and control of human brucellosis in areas at high risk.