Simulation calculation of relative biological effectiveness based on DNA double strand break clusters / 中华放射医学与防护杂志

Objective:To obtain the relative biological effectiveness (RBE) of DNA double strand breaks (DSB) clusters by tracing the mechanism of radiated DNA damage, and explore the relationship among the biological effectiveness of DNA damage, chromosomal aberrations and germ cell death.Methods:Taking low-energy electrons, protons, and α particles as the research objects, this study simulated the process that cell nuclei were exposed to particle radiation using a radiation-related physicochemical model. On the ground of the DSB density-based spatial clustering of applications with noise (DBSCAN) algorithm, the DSB cluster classification method was improved to weaken the connection between the DSBs and the random distribution assumptions of energy depositions during the simulation. In this manner, the DSB clusters can be much closer to a non-random distribution. Furthermore, this study obtained the yields of DSB clusters and proposed a method to calculate the RBE values of DSB clusters.Results:The calculated RBE value (12.29) of DSB clusters of 2 MeV α particles was similar to the experimental RBE values of chromosomal fragments (15.3±5.9) and cell survival (14.7±5.1).Conclusions:After high-LET ionizing radiation, unlike the single DSB, the RBE of DSB clusters was similar to that of chromosomal aberration and cell survival.

Spatial distribution and prediction analysis of the national AIDS epidemic in 2009 - 2020 / 公共卫生与预防医学

Objective Tto analyze the spatial distribution and characteristics of the national AIDS/HIV epidemics from 2009 to 2020 to discover its distribution, aggregation, and hot spots, and provide corresponding suggestions for AIDS prevention and control. Methods Spatial autocorrelation analysis, hot spot analysis, and Kriging interpolation prediction were used to describe, analyze, and predicting the spatial distribution of AIDS epidemics across the country. Results The national AIDS incidence and mortality rate increased yearly, but the growth rate shows a downward tendency with uneven spatial distribution,focusing on the southwest and northwest regions; the average annual incidence rate of AIDS ( Moran's I> 0, P 0, P “high-high” clusters of AIDS incidence; Sichuan, Yunnan, Guangxi,Hunan,Xinjiang and Guizhou were the areas with “high-high” clusters of average annual mortality. The “hot spot” areas were mainly concentrated in the southwestern part of China, and the “cold spot” areas were mainly concentrated in the eastern coastal and northern parts of China; Kriging interpolation predicted that Xinjiang would be the new hot spot area for future epidemics. Conclusion The spatial distribution of AIDS in China is uneven, showing spatial aggregation, hot spots and cold spots coexist, and the high-risk areas will continue to expand in the future.So the prevention and control work should be carried out in a targeted and localized manner.

Drug resistance characteristics and spatial clustering of Mycobacterium tuberculosis in Qinghai Province from 2016 to 2019 / 中国热带医学

@#Abstract: Objective To analyze the resistance and spatial distribution of Mycobacterium tuberculosis (MTB) to six commonly used anti-tuberculosis drugs in Qinghai Province from 2016 to 2019, so as to provide a reference for tuberculosis treatment and drug-resistant tuberculosis control. Methods A total of 1 182 identified strains of Mycobacterium tuberculosis in Qinghai Province from 2016 to 2019 were collected, and 6 anti-tuberculosis drugs were subjected to drug susceptibility tests and strain confirmed by the proportional method. By means of ArcMap10.7 and SaTScan10.1 software, map visualization, spatial autocorrelation analysis and spatial scanning of MTB drug resistance were performed to identify MTB drug resistance clusters in Qinghai Province. Results From 2016 to 2019, the total drug resistance (TDR) rate of 1 182 Mycobacterium tuberculosis strains in Qinghai Province was 23.77% (281/1 182), with a mono-resistance (MR) rate of 11.08% (131/1 182), a poly-resistance (PDR) rate of 3.89% (46/1 182), a multi-drug resistance (MDR) rate of 8.80% (104/1 182), and an extensive drug resistance (XDR) rate of 0.85% (10/1 182). The rates of MDR, XDR and TDR all showed a decreasing trend year by year (P<0.01). The drug resistance spectrum displayed 21 combinations. The TDR rate and MDR rate in the retreatment patients were higher than those of the initial treated patients, and the difference was statistically significant (χ2 TDR=22.784, χ2MDR=45.082, P<0.01). In terms of demographic characteristics, the TDR rate in males was higher than that in females, and the middle-aged group was higher than other age groups, and the differences were statistically significant (χ2=7.541, 10.825, P<0.05). The results of global spatial autocorrelation analysis showed that there was no statistical significance in the autocorrelation and obvious spatial clustering of MTB drug resistance in Qinghai Province from 2016 to 2019 (P>0.05), which indicated a random distribution. The results of spatiotemporal scanning showed that there was a kind of clustering area, but the clustering effect was not significant (P>0.05), indicating a random distribution. Conclusions The TDR of MTB in Qinghai Province from 2016 to 2019 showed a downward trend year by year. In comparison with the national average, the rate of multi-drug resistance and extensive drug resistance was still high, and most of the multi-drug resistance resulted from rifampicin and isoniazid. The drugresistant population mainly consisted of retreatment, males, and young and middle-aged pop

Epidemiological characteristics and spatial clustering of scrub typhus in Nanjing from 2011 to 2020 / 中华地方病学杂志

Objective:To understand the reported incidence level, change of the trend, epidemic characteristics and spatial clustering of scrub typhus in Nanjing, to explore key seasons, populations and areas for prevention and control, and to guide formulation of scientific and precise prevention and control strategies and measures.Methods:The reported data of scrub typhus in Nanjing from January 1, 2011 to December 31, 2020 were collected in the "Infectious Disease Surveillance System" from Chinese Center for Disease Control and Prevention. The reported incidence level and change of the trend were analyzed, and the seasonal, population and spatial distribution characteristics were described. Global spatial autocorrelation analysis was carried out by ArcGIS 10.3 software, and the spatial clustering scanning was carried out by using FleXScan 3.1.2 software.Results:A total of 192 cases of scrub typhus were reported in Nanjing from 2011 to 2020. Median annual reported incidence was 0.21/100 000 (0.12/100 000 - 0.49/100 000). Totally 87.5% (168/192) of cases were reported from October to November, and the peak occurred in November (57.8%, 111/192). Among these cases, males accounted for 64.1% (123/192); and the median age was 59 years old (6 - 84 years old). The groups ≥60 years old and 45 - 59 years old accounted for 47.9% (92/192) and 31.2% (60/192), respectively, which accounted for 79.2% (152/192) in all groups. Farmers accounted for 43.8% (84/192), household chores and unemployed people accounted for 16.7% (32/192), retired persons accounted for 15.6% (30/192) and workers accounted for 6.8% (13/192), which accounted for 82.8% (159/192) in all occupations. The top four areas in the total number of reported cases were Jiangning District (23.4%, 45/192), Luhe District (22.9%, 44/192), Gulou District (10.4%, 20/192) and Jiangbei New Area (8.9%, 17/192), which accounted for 65.6% (126/192) in all districts. According to global spatial autocorrelation analysis, Moran's I = 0.34 ( Z = 5.90, P < 0.001). FlexScan 3.1.2 software scanned and detected two spatial clusters areas, the first-class of cluster area covered three streets in Jiangning District, one street in Yuhuatai District and two streets in Pukou District [restricted log likelihood ratio ( RLLR) = 26.91, P < 0.001]. The second-class of cluster area included six townships/streets in Luhe District and four streets in Jiangbei New Area ( RLLR = 26.48, P < 0.001). All the cluster areas were agriculture-related. Conclusions:The reported incidence level of scrub typhus in Nanjing is low and stable which belongs to a typical autumn epidemic area. The middle-aged and elderly population is the key population and the agriculture-related area is key area. It is suggested that scrub typhus should be included in the management of statutory or regional key infectious diseases in Nanjing. Additionally, training on diagnosis and treatment technology and information report management of scrub typhus need to be carried out, and comprehensive prevention and control interventions such as health education, personal protection, rodent prevention and control and vector control should be strengthened and implemented in the high incidence season.

Epidemiological characteristics and spatial clustering analysis of brucellosis in Shandong Province from 2015 to 2020 / 中华地方病学杂志

Objective:To learn about the epidemiological and spatial clustering characteristics of brucellosis in Shandong Province, and to provide a reference for scientific prevention and control of brucellosis.Methods:The epidemic data of human brucellosis in Shandong Province from January 2015 to December 2020 were collected from the Infectious Disease Reporting Information Management System of China Disease Control and Prevention Information System, and the data were analyzed by descriptive epidemiology and spatial clustering analysis.Results:A total of 18 811 cases of human brucellosis were reported in Shandong Province from 2015 to 2020, and the average annual incidence rate was 3.16/100 000. Human brucellosis occurred in every month of the year, and the peak incidence was from March to August, accounting for 66.31% (12 474/18 811). The top 5 counties (districts) with average annual incidence rates were Lijin County (32.39/100 000), Kenli District (11.02/100 000), Wudi County (10.35/100 000), Zhanhua District (9.59/100 000) and Shanghe County (8.80/100 000). There were 13 436 males and 5 375 females, with a male-female sex ratio of 2.50 ∶ 1.00; the age was mainly concentrated in 30-69 years old, accounting for 83.23% (15 656/18 811); farmer was the main occupation, accounting for 85.82% (16 144/18 811). The results of global spatial autocorrelation analysis showed that the annual incidence rates of brucellosis in Shandong Province showed a spatial clustering distribution from 2015 to 2020; and the local spatial autocorrelation analysis showed that the high incidence of human brucellosis was mainly concentrated in the north of Shandong Province.Conclusions:The incidence of brucellosis in Shandong Province is mainly concentrated in spring and summer, most of them are farmers, and the high incidence areas have spatial clustering. Key prevention and control measures should be taken for high incidence seasons, high-risk population and northern high clustering areas to reduce the incidence of brucellosis.

Câncer de colo de útero e componentes de saneamento nos municípios do estado do Mato Grosso do Sul: seria uma questão de má qualidade da água? / Cervical cancer and sanitation components in the municipalities of the state of Mato Grosso do Sul: would it be a question of poor water quality?

Resumo Este artigo investiga relações entre a incidência de câncer de colo de útero (ICC) e os componentes e indicadores de qualidade da água nos municípios do Mato Grosso do Sul, entre 2014 e 2017, por correlação estatística (Determinante de Pearson) e espacial (agrupamentos por k-médias). Houve maior resposta estatística de ICC em relação à tarifa média dos serviços de abastecimento praticado (-36,28%) e de água (-34,15%); à quantidade de suas interrupções sistemáticas (28,3%) e paralizações (22,28%); ao consumo médio per capita de água (20,74%) e à quantidade de serviços executados (-17,98%), todas as respostas sob p-valor ≤ 0,001. Em Costa Rica, cidade sob maior ICC média, os agrupamentos espaciais identificaram maior efeito daquelas interrupções (z-valor = 8,741) e das paralizações (z = 7,6097); enquanto em Rochedo, também sob alta ICC, houve maior efeito à incidência de análises com resultados fora do padrão para coliformes totais (z = 8,6803) e turbidez (z = 5,7427), sob correlação estatística de 12,05% (p-valor = 0,032) e 15,18% (p-valor = 0,007), respectivamente. Dados do SISAGUA revelaram a presença de coliformes e de altos níveis de turbidez, por exemplo, em Antônio João e Tacuru, cidades sob altas ICC médias. Recomenda-se maiores investigações sobre as relações aqui apresentadas entre ICC e água.

Abstratct This article investigates relationships between the incidence of cervical cancer (CCI) and the water components and quality indicators, in the municipalities of Mato Grosso do Sul, between 2014 and 2017, by statistical (Pearson's Determinant) and spatial (k-means Clustering) correlation. There was a greater statistical response of CCI in relation to the average tariff of the practiced supply (−36.28%) and water (−34.15%) services; the number of their systematic interruptions (28.3%) and outages (22.28%); the average per capita consumption of water (20.74%); and the number of services performed (−17.98%), all answers under p-value ≤ 0.001. In Costa Rica, city with the highest average CCI, the spatial clustering identified a greater effect of those interruptions (z-value = 8.741) and outages (z = 7.6097); whereas, in Rochedo, also under high CCI, the analyses showed greater effect with non-standard results for total coliforms (z = 8.6803) and turbidity (z = 5.7427), under a statistical correlation of 12.05% (p-value = 0.032) and 15.18% (p-value = 0.007), respectively. Data from SISAGUA revealed the presence of coliforms and high levels of turbidity, for example, in Antônio João and Tacuru, cities with high average ICC. We recommend further investigation into the relationships presented here between CCI and water.

Satscan based small scale spatiotemporal trend analysis of human schistosomiasis in Gong'an County and Jiangling County, Hubei Province / 公共卫生与预防医学

Objective To analyze the spatial clustering of human schistosomiasis at the village level in key counties in Hubei Province, to provide scientific evidence for formulating strategies for human schistosomiasis prevention and control in the next stage. Methods Gong'an County and Jiangling County in Hubei Province were selected as representative counties for this study. A town or village was set up as a research unit. Schistosomiasis cases of a positive fecal examination in 2015 and cases with positive detection for schistosomiasis serological antibody titer equal or above 80 in 2016-2018 were selected as research subjects in these two counties. The Kulldorff circular scan statistic was used for the spatial clustering analysis of human schistosomiasis infection status in the population. Results There was spatial clustering of positive schistosomiasis cases of fecal examination, at the level of a town or village in both counties in 2015. There was spatial clustering of positive human serological antibody detection at the level of town or village from 2016-2018. Eighty-six endemic villages in five towns in the northeast of Gong'an County, along the Yangtze river,including Mahaokou Town, Zhakou Town, Yangjiachang Town, Jiazhuyuan Town and Douhuti Town, were the most prominent. There was no spatial clustering of positive results of human serological antibody detection at the town and village level in Jiangling County, in2017, while there was spatial clustering of human serological antibody detection in 2016 and 2018,respectively. Fifty-seven endemic villages in two towns (Puji Town and Xionghe Town) in the southwest of Jiangling County, along the Yangtze river,were the most prominent. Conclusion There were spatial clustering of human schistosomiasis epidemic at village level both in Gong'an County and Jiangling County, Hubei Province. Compared with the previous studies, there was a trend of shrink and decline of clustering areas. Therefore, the current situation of the epidemic has put forward higher requirements for the implementation of precise prevention and control in the progress of schistosomiasis elimination work in various epidemic areas.

Study of clustered damage in DNA after proton irradiation based on density-based spatial clustering of applications with noise algorithm / 生物医学工程学杂志

The deoxyribonucleic acid (DNA) molecule damage simulations with an atom level geometric model use the traversal algorithm that has the disadvantages of quite time-consuming, slow convergence and high-performance computer requirement. Therefore, this work presents a density-based spatial clustering of applications with noise (DBSCAN) clustering algorithm based on the spatial distributions of energy depositions and hydroxyl radicals (·OH). The algorithm with probability and statistics can quickly get the DNA strand break yields and help to study the variation pattern of the clustered DNA damage. Firstly, we simulated the transportation of protons and secondary particles through the nucleus, as well as the ionization and excitation of water molecules by using Geant4-DNA that is the Monte Carlo simulation toolkit for radiobiology, and got the distributions of energy depositions and hydroxyl radicals. Then we used the damage probability functions to get the spatial distribution dataset of DNA damage points in a simplified geometric model. The DBSCAN clustering algorithm based on damage points density was used to determine the single-strand break (SSB) yield and double-strand break (DSB) yield. Finally, we analyzed the DNA strand break yield variation trend with particle linear energy transfer (LET) and summarized the variation pattern of damage clusters. The simulation results show that the new algorithm has a faster simulation speed than the traversal algorithm and a good precision result. The simulation results have consistency when compared to other experiments and simulations. This work achieves more precise information on clustered DNA damage induced by proton radiation at the molecular level with high speed, so that it provides an essential and powerful research method for the study of radiation biological damage mechanism.

Time series analysis and spatial autocorrelation analysis of dengue data in China from 2011 to 2018 / 中华疾病控制杂志

Objective To understand the spatial and temporal distribution characteristics of dengue fever in China from 2011 to 2018, and predict the incidence of dengue fever in China in 2019. Methods Based on the case data of dengue fever in China from 2011 to 2018 in the Chinese Disease Prevention and Control Information System, the trend of dengue fever was described and predicted by using the autoregressive integrated moving average model (ARIMA) with R 3.6.0 software. Based on the data of the incidence of dengue fever in the country, provinces and cities from 2011 to 2016 provided by the national scientific data sharing platform for population and health, global and local spatial autocorrelation analysis was performed using GeoDa 1.12 software to determine the dengue fever hotspots. Results The incidence of dengue fever was 14 302 in 2019, showing no disease outbreaks. The incidence of dengue fever in 2012(Moran’s I=-0.088, P=0.037), 2013(Moran’s I=-0.121, P=0.040) and 2014(Moran’s I=-0.076, P=0.045) showed a global spatial negatively correlaton. In 2016(Moran’s I=0.078, P=0.048), the incidence of dengue fever was positively correlated with global space. The results of local autocorrelation analysis showed that the high incidence of dengue fever was mainly in the southeast coastal areas of China. Conclusions In 2019, the epidemic of dengue fever in China showed no obvious fluctuation trend, and the epidemic situation showed spatial clustering distribution.

Analysis on the spatial clustering of multidrug resistant or rifampicin resistant pulmonary tuberculosis in Wenzhou / 预防医学

Objective @#To understand the spatial distribution of multidrug resistant/rifampicin resistant pulmonary tuberculosis（MDR/RR PTB）in Wenzhou from 2014 to 2017,and to provide the scientific basis for MDR/RR TB control and prevention.@*Methods @#The data of MDR/RR PTB cases in Wenzhou from 2014 to 2017 were collected from the Tuberculosis Management Information System of the Chinese Disease Prevention and Control Information System,and was associated with the geographic information database of Wenzhou Survey and Mapping Research Institute. The global spatial autocorrelation analysis was carried out by ArcGIS 10.1 to determine if there was spatial clustering of MDR/RR PTB cases in Wenzhou. The specific clustering areas of the MDR/RR PTB in Wenzhou was analyzed by SaTScan 9.3 and presented by ArcGIS.@*Results @#There were 452 MDR/RR PTB cases reported in Wenzhou from 2014 to 2017,with a total registration rate of 4.74/100 000. The incidence rate of MDR/RR PTB in Wenzhou was unevenly distributed;the areas with registration rates of more than 7.45/100 000 were the north-central parts of Yongjia,the south-central parts of Yueqing and the east-central parts of Wencheng. The results of global spatial autocorrelation analysis showed that there were obvious clustering for MDR/RR PTB in Wenzhou（Moran's I=0.321,Z=7.352,P<0.001）. The spatial scanning found two clusters：20 towns/streets in the southeastern part of Yongjia and the south of Yueqing were the primary clustering areas（RR=2.213,LLR=22.353,P<0.001）;Yangyi Street and Shuangyu Street in Lucheng were the secondary clustering areas（RR=2.488,LLR=9.889,P=0.004）.@*Conclusion @#The MDR/RR PTB cases reported from 2014 to 2017 in Wenzhou had spatial clustering. The high-incidence areas were in the southeast of Yongjia,south of Yueqing,Yangyi Street and Shuangyu Street of Lucheng.

Design of schistosomiasis surveillance sites based on Spatial Kluster Analysis by Tree Edge Removal (SKATER) method: an exploratory study / 中国血吸虫病防治杂志

Objective To develop a method for designing schistosomiasis surveillance sites, so as to improve the efficiency and quality of schitsosomiasis surveillance. Methods By using the minimum spanning tree-based Spatial Kluster Analysis by Tree Edge Removal (SKATER) method, spatially constrained clustering was performed upon 31 historical schistosomiasis-endemic counties (districts) in Anhui Province. A surveillance site was selected from each cluster to evaluate the representativeness and surveillance efficiency of these cluster-based surveillance sites for the endemic situation of schistosomiassi in Anhui Province, and to compare the surveillance efficiency with local national schistosomiasis surveillance sites. Results There was no significant difference in the environmental factors between the cluster-based schistosomiasis surveillance sites and the whole region, showing a high homogeneity. If the same number of schistosomiasis surveillance sites was selected, there was no significant difference between the cluster-based surveillance sites and national schistosomiasis surveillance sites in the efficiency of the mean risk and long-term trend of schistosomiasis surveillance in Anhui Province; however, the cluster-based surveillance sites were superior to the national schistosomiasis surveillance sites for the prediction and estimation of the endemic situation of schistosomiasis in the unmonitored areas. Conclusion The SKATER-based selection of schistosomiasis surveillance sites may better represent the endemic situation of schistosomiasis in Anhui Province, which may serve as an effective supplement for the conventional method of selecting schistosomiasis surveillance sites.

Design of schistosomiasis surveillance sites based on Spatial Kluster Analysis by Tree Edge Removal (SKATER) method: an exploratory study / 中国血吸虫病防治杂志

Objective To develop a method for designing schistosomiasis surveillance sites, so as to improve the efficiency and quality of schitsosomiasis surveillance. Methods By using the minimum spanning tree-based Spatial Kluster Analysis by Tree Edge Removal (SKATER) method, spatially constrained clustering was performed upon 31 historical schistosomiasis-endemic counties (districts) in Anhui Province. A surveillance site was selected from each cluster to evaluate the representativeness and surveillance efficiency of these cluster-based surveillance sites for the endemic situation of schistosomiassi in Anhui Province, and to compare the surveillance efficiency with local national schistosomiasis surveillance sites. Results There was no significant difference in the environmental factors between the cluster-based schistosomiasis surveillance sites and the whole region, showing a high homogeneity. If the same number of schistosomiasis surveillance sites was selected, there was no significant difference between the cluster-based surveillance sites and national schistosomiasis surveillance sites in the efficiency of the mean risk and long-term trend of schistosomiasis surveillance in Anhui Province; however, the cluster-based surveillance sites were superior to the national schistosomiasis surveillance sites for the prediction and estimation of the endemic situation of schistosomiasis in the unmonitored areas. Conclusion The SKATER-based selection of schistosomiasis surveillance sites may better represent the endemic situation of schistosomiasis in Anhui Province, which may serve as an effective supplement for the conventional method of selecting schistosomiasis surveillance sites.

Spatial Analysis on Primary Liver Cancer Incidence in Sihui County,Guangdong Province, 2004-2011 / 中山大学学报(医学科学版)

[Objective]To explore the spatial distribution pattern of liver cancer in Sihui city ,Guangdong Province from 2004 to 2011,and to provide theoretical evidence for prevention and control of liver cancer.[Methods]Spatial scan statistic was applied,and analysis were conducted by using software SaTScan 9.4.4 to detect the clusters in Sihui from 2004 to 2011.Map making and results visualizing were carried out with software ArcGIS 10.2.[Results]A total of 1252 cases was reported in Sihui City,Guangdong Province from 2004 to 2011,with the incidence of liver cancer increasing from 32.67/100000 to 41.14/100000. Spatial scans results showed that highly clustered areas are mainly located in the south and southeast,which include Dasha,Longfu and Dongcheng countries in all people (LLR=6.34,P=0.019,RR=1.31) and the male (LLR=5.83,P=0.025,RR=1.33),respectively;highly clustered areas in female were include Dasha,Dongcheng,Chengzhong and other two countries(LLR=5.18,P=0.043,RR=1.41). Lowly clustered areas in all people are mainly located in the north,which include Luoyuan,Didou and Jiangfu countries(LLR=8.66, P=0.001,RR=0.67).[Conclusion]The incidence of primary liver cancer in Sihui was increasing over time,and spatial clustering of the cases were observed. Further study should be focused on the risk factors of liver cancer in related areas to strengthen the prevention and control of liver cancer.

Epidemiological characteristics and temporal-spatial clustering of pulmonary tuberculosis and its social influence factors in immigration city / 中国人兽共患病学报

We investigated the epidemiological characteristics and temporal-spatial clustering of pulmonary tuberculosis (PTB),and analyzed its social influence factors in immigration city.Descriptive epidemiological analysis was conducted on PTB cases data extracted from the National Disease Reporting System of Chinese Center for Disease Control and Prevention between 2013 and 2015.Kulldorff scan statistics was applied to community based and town-based incidence data by SaTScan 9.1.1.The results were visualized by ArcMap10.2.A total of 12 109 PTB cases were reported in Ningbo with a decreasing trend in incidence rate and an increasing trend in proportion of floating population from 2013 to 2015.The male to female ratio was 2.07 ∶ 1 (8 162/3 947).All age groups were affected by PTB,but the incidence in 15-34 years age group and 65+ years age group were higher.Patients aged between 15 and 54 years accounted for 73.95 ％ of all cases.Most cases were farmers,housekeepers or unemployed,migrants and workers.There were six temporal-spatial clusters,of which the most likely clusters were in downtown and its surrounding areas,and the second likely clusters were in industrial parks.Compared with non cluster areas,proportion of floating population (t =2.88,P=0.01) especially immigrants from other provinces (t=7.46,P =0.00),and population density (t=3.37,P=0.00) in cluster areas were higher,while per capita green area was lower (t =-2.39,P 0.03).The downtown and its surrounding areas,industrial parks could be the future PTB combating regions.High population density and immigrants are associated with PTB clustering.

Epidemiological characteristics and temporal-spatial clustering of pulmonary tuberculosis and its social influence factors in immigration city / 中国人兽共患病学报

We investigated the epidemiological characteristics and temporal-spatial clustering of pulmonary tuberculosis (PTB),and analyzed its social influence factors in immigration city.Descriptive epidemiological analysis was conducted on PTB cases data extracted from the National Disease Reporting System of Chinese Center for Disease Control and Prevention between 2013 and 2015.Kulldorff scan statistics was applied to community based and town-based incidence data by SaTScan 9.1.1.The results were visualized by ArcMap10.2.A total of 12 109 PTB cases were reported in Ningbo with a decreasing trend in incidence rate and an increasing trend in proportion of floating population from 2013 to 2015.The male to female ratio was 2.07 ∶ 1 (8 162/3 947).All age groups were affected by PTB,but the incidence in 15-34 years age group and 65+ years age group were higher.Patients aged between 15 and 54 years accounted for 73.95 ％ of all cases.Most cases were farmers,housekeepers or unemployed,migrants and workers.There were six temporal-spatial clusters,of which the most likely clusters were in downtown and its surrounding areas,and the second likely clusters were in industrial parks.Compared with non cluster areas,proportion of floating population (t =2.88,P=0.01) especially immigrants from other provinces (t=7.46,P =0.00),and population density (t=3.37,P=0.00) in cluster areas were higher,while per capita green area was lower (t =-2.39,P 0.03).The downtown and its surrounding areas,industrial parks could be the future PTB combating regions.High population density and immigrants are associated with PTB clustering.

Spatial distribution and clustering in birth defects from 2010 to 2013 in Shaanxi Province / 中南大学学报(医学版)

Objective:To explore the spatial distribution and clustering in birth defects from 2010 to 2013 in Shaanxi Province.Methods:Spatial distribution was used to describe the birth defects,while ordinary Kriging method was used to predict the status of birth defects in Shaanxi province.The spatial characteristics for the birth defects at the county/district level were analyzed by spatial autocorrelation.Results:The overall incidence of birth defects was 219.196/10 000;Birth defect did not appear to be a random distribution but show a significant spatial aggregation.Spatial interpolation predicted the geographic distribution for occurrence of birth defects in Shaanxi Province.Local autocorrelation analysis showed nine hot spot areas for birth defects,such as Qian County,Liquan County,Yongshou County,Bin County,Fufeng County,Jingyang County,Chunhua County,Wugong County and Xingping City,and seven cold spot areas including Jia County,Yuyang District,Mizhi County,Suide County,Wubu County,Qingjian County and Zizhou District.Conclusion:There are spatial clustering in birth defects from 2010 to 2013 in Shaanxi Province.Spatial interpolation and spatial autocorrelation can be used to predict the spatial features of birthdefects in the whole province and provide evidence for the further intervention.

An analysis on the temporal-spatial epidemiological characteristics of HFMD based on village scale / 预防医学

Objective To learn the temporal-spatial distribution and clustering of hand-foot-mouth disease (HFMD)in Xiaoshan in 2014,and to provide reference and basis for prevention and control.Methods The HFMD data of Xiaoshan in 2014 was derived from the China Information System for Diseases Control and Prevention.The vector map was created by Map Info 10.0 on the background of 1∶65 000 zoning map ,extracted village and community geographical position information from Baidu map.At the village level,the spatial autocorrelation analysis and spatial scanning analysis were made using software ArcGIS10.2 and SaTScan9.2.Results In Xiaoshan,the epidemic curve of HFMD in 2014 showed two peaks,during April to July and during September to October.The global spatial autocorrelation Moran's I index was 0.442 7(P<0.001),and the global Getis-Ord G value was 0.003 3,(E(G)=0.002 1,Z(G)=11.82,P<0.001). Local autocorrelation analysis showed that the cluster state was high-high.Ningwei Street had the most hot spots.Five statistically significant HFMD clusters were identified by space-time scan statistics,the most likely cluster was located in Heshang Town,from January 6 to February 4 (RR=23.00,LLR=17.45,P<0.05).Conclusion In Xiaoshan,the major epidemic peak of HFMD in 2014 was from April to July.A positive spatial correlations was found,and the disease showed a distinct regional distribution feature and temporal-spatial clustering.The clusters were observed including the villages and communities of rural-urban continuum and in vicinity of industrial development zone in countryside.

Spatial clustering analysis of brucellosis in Xinjiang,China / 中国人兽共患病学报

We used the Brucella data in Xinjiang between year 2009 to 2010 to explore and analyze the spatial clustering fea‐tures of brucellosis in Xinjiang ,and provided the basis for prevention and control on brucellosis in Xinjiang ,China .The time and population distribution of brucellosis in Xinjiang was analyzed for statistical analysis with descriptive epidemiology .Mean‐while ,we also used quartile classification methods to map the incidence of brucellosis in Xinjiang spatial distribution ,and calcu‐lated the Global Moran’s I index on the spatial clustering analysis .Results showed that brucellosis in Xinjiang had obvious sea‐sonal differences (peaked in May‐September) ,more cases for male than that for female (gender ratio‐‐2 .96∶1) ,and the total incidence of 74% were farmer and herdsman ,mainly concentrated at th e age of 40 to 60 years old .Compared with the onset range of brucellosis in 2009 ,there were clear tendency to spread in 2010 .The Global Moran’s I index was 0 .116 4 (P=0 .017) ,showing the spatial clustering on the incidence of brucellosis in Xinjiang .The incidence of hot spots concentrated in Tacheng and Altay ,and the incidence of cold spots concentrated in Kashi .The incidence level brucellosis has significant spatial aggregation in the area of Xinjiang ,which should be strengthened the prevention and control of high‐risk areas .

Evaluation of Spatial Accessibility to Ohio Trauma Centers Using a GIS-Based Gravity Model.

Aims: Traumatic injury is one of the leading causes of death in all age groups. Ensuring adequate and effective access to trauma centers is key to improving the quality of care for injured patients. This study evaluates the spatial accessibility of Ohio trauma centers and identifies potentially underserved Ohio counties. Study Design: A gravity based accessibility model using a Geographic Information System (GIS) was implemented. Place and Duration of Study: The study was conducted in Nationwide Children’s Hospital in 2015. Methodology: A gravity based accessibility model using a Geographic Information System (GIS) was adapted to incorporate US census data, trauma center location data, and trauma center utilization data to quantify accessibility to trauma centers at both the zip code and county levels. An underserved index was developed to identify the location and clustering pattern of underserved regions within the state. Results: Most served counties were about 10 times more served than an average county while least served counties were about 4 times less served than an average county. Conclusion: Findings of this study are potentially useful for evaluating regionalized trauma care and provide evidence for trauma care system improvements.

The remarkable discreteness of being.

Life is a discrete, stochastic phenomenon: for a biological organism, the time of the two most important events of its life (reproduction and death) is random and these events change the number of individuals of the species by single units. These facts can have surprising, counterintuitive consequences. I review here three examples where these facts play, or could play, important roles: the spatial distribution of species, the structuring of biodiversity and the (Darwinian) evolution of altruistic behaviour.