The spatial-temporal characteristics of hand-foot-mouth disease in Minhang District of Shanghai， 2009‒2020 / 上海预防医学

ObjectiveThis study aimed to understand the epidemiological characteristics of hand-foot-mouth disease （HFMD） in Minhang District， Shanghai from 2009 to 2020， and provide a scientific basis for the prevention and control of HFMD. MethodsThe case information of HFMD was collected from the National Notifiable Infectious Diseases Reporting System of Chinese Center for Disease Control and Prevention. We used descriptive epidemiological methods to analyze the population characteristics， temporal and spatial distribution of HFMD， the pathogen composition of the case and its changing trend. ResultsFrom 2009 to 2020， a total of 66，198 cases of HFMD were reported in Minhang District， Shanghai， including 377 severe cases （severe case rate 0.57%） and 3 deaths （severs case fatality rate 0.80%）. There were more cases of HFMD in boys than in girls （1.5∶1）. HFMD patients aged under 5 years predominated， accounting for 88.91% of all cases. Majority of the cases （91.42%） were in scattered children （55.80%） and children in kindergartens （35.62%）. The incidence showed a cyclical trend， with low incidence years and high incidence years appearing alternately. The peak period was from April to July， and sometimes there were small peaks during October to December. A total of 12 years time-space scanning analysis revealed 3 clusters. The cluster centers were located in Wujing Town， Huacao Town and Xinzhuang Town， respectively. The proportion of EV71 in common cases was generally decreasing， and reduced to zero in 2019. The proportion of CoxA6 had increased year by year， and reached 75.00% in 2020. CoxA6 became the dominant pathogen in recent years. The number of severe cases had decreased year by year since 2010， and the dominant pathogen was EV71 （90.03% on average） in severe cases. ConclusionThe incidence of HFMD in Minhang District of Shanghai has a downward trend from 2014. The dominant pathogen changes from EV71 to CoxA6， and the dominant pathogen in severe cases is EV71. The discovered temporal and spatial clustering pattern is helpful for in-depth understanding of the distribution and epidemic trend of HFMD in Minhang District， and provides a scientific basis for epidemic prevention and control.

Research progress on identification and monitoring of the appropriate habitat of Himalayan marmot / 中华地方病学杂志

Qinghai-Tibet Plateau is one of the major plague foci in China. Himalayan marmot (hereinafter referred to as the marmot) is the main host animals of the foci. Effective identification and monitoring of its habitat in Qinghai-Tibet Plateau is important for active prevention and effective control of the marmot plague epidemic. Spatial information technology is an important means for rapid identification and effective monitoring of marmot. This review analyzed the factors that affect the distribution patterns of marmot habitat, including topographical features, soil properties, vegetation types and cover, climatic conditions and human activities, and reviewed and summarized the progress and shortcomings of relevant research on identifying and monitoring marmot habitat based on spatial information technologies such as remote sensing and geographic information system. Meanwhile, combined with the emerging low-altitude remote sensing, crowdsource data acquisition, machine learning and other big data mining methods, from the perspective of multi-source data, integration of emerging technologies and comprehensive evaluation system, the new ideas of using spatial information technology to quickly identify and effectively monitor the habitat of marmot, was discussed. It is expected to provide technical support for prediction and effective control of marmot plague in Qinghai-Tibet Plateau under the background of changing global climate and increasing human activities.

Geospatial analysis and epidemiological aspects of human infections with Blastocystis hominis in Mazandaran Province, northern Iran / 한국역학회지

OBJECTIVES: Blastocystis hominis is a very common large intestinal protozoan with global prevalence in humans and non-human hosts. No precise statistics exist regarding the geographical distribution of Blastocystis that would enable the identification of high-risk communities. Therefore, the current research aimed to characterize the spatial patterns and demographic factors associated with B. hominis occurrence in northern Iran. METHODS: The current study was performed among 4,788 individuals referred to health centers in Mazandaran Province, from whom stool samples were obtained. Socio-demographic data were gathered using a questionnaire. Samples were examined by a direct wet mount, the formalin-ethyl acetate concentration technique, and trichrome staining. Moran local indicators of spatial association and a geographically weighted regression model were utilized to analyze the results. RESULTS: Generally, the infection rate of Blastocystis parasites was 5.2%, and was considerably higher in the age group of 10-14 years (10.6%) than in other age groups (p=0.005). Our data showed important associations between the occurrence of B. hominis and age, residence, job, contact with domestic animals, anti-parasitic drug consumption, and elevation above sea level (p<0.001). CONCLUSIONS: The current study characterized for the first time the infection rate and risk of B. hominis in the north of Iran, and produced a prediction map. It is expected that this map will help policymakers to plan and implement preventive measures in high-risk areas and to manage already-infected patients.

Geospatial analysis and epidemiological aspects of human infections with Blastocystis hominis in Mazandaran Province, northern Iran / 한국역학회지

OBJECTIVES: Blastocystis hominis is a very common large intestinal protozoan with global prevalence in humans and non-human hosts. No precise statistics exist regarding the geographical distribution of Blastocystis that would enable the identification of high-risk communities. Therefore, the current research aimed to characterize the spatial patterns and demographic factors associated with B. hominis occurrence in northern Iran.METHODS: The current study was performed among 4,788 individuals referred to health centers in Mazandaran Province, from whom stool samples were obtained. Socio-demographic data were gathered using a questionnaire. Samples were examined by a direct wet mount, the formalin-ethyl acetate concentration technique, and trichrome staining. Moran local indicators of spatial association and a geographically weighted regression model were utilized to analyze the results.RESULTS: Generally, the infection rate of Blastocystis parasites was 5.2%, and was considerably higher in the age group of 10-14 years (10.6%) than in other age groups (p=0.005). Our data showed important associations between the occurrence of B. hominis and age, residence, job, contact with domestic animals, anti-parasitic drug consumption, and elevation above sea level (p<0.001).CONCLUSIONS: The current study characterized for the first time the infection rate and risk of B. hominis in the north of Iran, and produced a prediction map. It is expected that this map will help policymakers to plan and implement preventive measures in high-risk areas and to manage already-infected patients.

Geographical Information System (Gis) Application In Tuberculosis Spatial Clustering Studies: A Systematic Review

@#Tuberculosis (TB) is known as a disease that prone to spatial clustering. Recent development has seen a sharp rise in the number of epidemiologic studies employing Geographical Information System (GIS), particularly in identifying TB clusters and evidences of etiologic factors. The aim of this systematic review is to determine evidence of TB clustering, type of spatial analysis commonly used and the application of GIS in TB surveillance and control. A literature search of articles published in English language between 2000 and November 2015 was performed using MEDLINE and Science Direct using relevant search terms related to spatial analysis in studies of TB cluster. The search strategy was adapted and developed for each database using appropriate subject headings and keywords. The literature reviewed showed strong evidence of TB clustering occurred in high risk areas in both developed and developing countries. Spatial scan statistics were the most commonly used analysis and proved useful in TB surveillance through detection of outbreak, early warning and identifying area of increased TB transmission. Among others are targeted screening and assessment of TB program using GIS technology. However there were limitations on suitability of utilizing aggregated data such as national cencus that were pre-collected in explaining the present spatial distribution among population at risk. Spatial boundaries determined by zip code may be too large for metropolitan area or too small for country. Nevertheless, GIS is a powerful tool in aiding TB control and prevention in developing countries and should be used for real-time surveillance and decision making.

A descriptive spatial epidemiological study on prevention and control of Keshan disease in China / 中华地方病学杂志

Objective To explore the spatial description of Keshan disease(KD)and to provide a basis for reasonable allocation of health resources and for making precision prevention and control strategies. Methods In 2013 and 2014, the KD's condition, prevention and control measures and their effects were investigated in the diseased affected counties in the provinces through combination of case search and key survey. Results A total of 16(100.0%,16/16)diseased provinces,315(96.0%,315/328)diseased counties were surveyed,and 1 562 people with KD were detected in 281 000 residents, the detection rate was 55.6/10 000. Chronic and latent KD detection rates were 8.9/10 000(250)and 46.7/10 000(1 312),respectively.There were 261(82.9%)diseased counties that had reached the control standards of KD,and 54(17.1%)did not meet the control standards,which mainly distributed in the provinces of Henan, Inner Mongolia, Gansu and Shanxi. Conclusions The detection rate of KD has been at a low level, but in Henan, Inner Mongolia, Gansu, and Shanxi, there are prevalent KD areas that have not yet reached the control level.This part of the areas should be treated as key prevention and control areas of KD.

Spatial Approach of Perinatal Mortality in São Paulo State, 2003-2012 / Análise espacial da mortalidade perinatal no estado de São Paulo, de 2003 a 2012

Abstract Objectives To identifying spatial patterns in the distribution of perinatal mortality in the state of São Paulo from 2003 to 2012. Methods An ecological and exploratory study with data on perinatal mortality rates of every thousand live births, which were registered on the digital database containing 645 municipalities in the state of São Paulo within the periods of 2003 to 2007 and 2008 to 2012. The spatial analysis provided Moran’s index (MI) and thematic maps of rates, and the Moran maps of both periods were drawn. The average rates were compared by Student’s t test. The TerraView 4.2.2 software (INPE, S. José dos Campos, Brazil) was also used. Results There were 49,485 perinatal deaths during the first period, at a rate of 17.90 deaths/1,000 live births (standard deviation [SD] = 7.0; MI = 0.14; p = 0.01), and 44,582 perinatal deaths during the second period, at a rate of 16.40 deaths/1,000 live births (SD = 11.14; MI = 0.04; p = 0.03). These rates are statistically different (p < 0.01). There was a decrease in these rates in 413 municipalities when comparing the two periods. The Moran map has identified 35 municipalities that require special attention, which are located in the Eastern, Southwestern, Western and Northwestern regions of São Paulo state. Conclusion The study provides municipal managers with subsidies so they can minimize these rates by implementing public policies and taking better care of pregnant women and newborns.

Resumo Objetivo Identificar padrões espaciais na distribuição de mortalidade perinatal no Estado de São Paulo no período de 2003 a 2012. Métodos Estudo ecológico e exploratório, com dados sobre as taxas de mortalidade perinatal por mil nascidos vivos e inseridos em malha digital dos 645 municípios do estado de São Paulo entre 2003 e 2007 e 2008 e 2012. A análise espacial forneceu o índice de Moran (IM), e foram construídos mapas temáticos das taxas e o mapa de Moran de ambos os períodos. As taxas médias foram comparadas utilizando o teste t de Student. Utilizou-se o programa Terra View 4.2.2. Resultados Foram 49.485 óbitos perinatais no primeiro período, taxa de 17,90 óbitos/1.000 nascidos vivos (desvio-padrão [DP] = 7,0; IM = 0,14; p = 0,01), e 44.582 óbitos perinatais no segundo período, taxa de 16,40 óbitos/1.000 nascidos vivos (DP = 11,14; IM = 0,04; p = 0,03). Estas taxas são diferentes (p < 0,01). Houve diminuição destas taxas em 413 municípios quando comparados os dois períodos. O mapa de Moran identificou 35 municípios localizados nas regiões Leste, Sudoeste, Oeste e Noroeste, que merecem uma atenção especial. Conclusão O estudo fornece subsídios para que os gestores municipais possam minimizar estas taxas, implantando políticas públicas e melhor atendimento às gestantes e recém-nascidos.

Spatial analysis for the identification of risk areas for schistosomiasis mansoni in the State of Sergipe, Brazil, 2005-2014

Abstract INTRODUCTION: Schistosomiasis is a parasitic infectious disease with a worldwide prevalence. The objective of this work is to identify risk areas for schistosomiasis mansoni transmission in the State of Sergipe, Brazil, during the period from 2005 to 2014. METHODS: We conducted an epidemiological study with secondary data from the Information System Control Program of Schistosomiasis [Sistema de Informação do Programa de Controle da Esquistossomose (SISPCE)]. Temporal trends were analyzed to obtain the annual percentage change (APC) in the rates of annual prevalence. In addition to the description of general indicators of the disease, the spatial analysis was descriptive, by means of the estimator of intensity kernel, and showed spatial dependence by indicators of global Moran (I) and Local Index of Spatial Association (LISA). Thematic maps of spatial distribution were made, identifying priority intervention areas in need of healthcare. RESULTS: There were 78,663 cases of schistosomiasis, with an average of 8.7% positivity recorded; 79.8% of the cases were treated, and Sergipe showed a decreasing positive trend (APC: -2.78). There was the presence of spatial autocorrelation and a significant global Moran index (I = 0.19; p-value = 0.03). We identified clusters of high-risk areas, mainly located in the northeast and southcentral of the state, which each had equally high infection rates. CONCLUSIONS: There was a decreasing positive trend of schistosomiasis in Sergipe. Spatial analysis identified the geographic distribution of risk and allowed the definition of priority areas for the maintenance and intensification of control interventions.

GIS platform for real-time monitoring and early warning of forestry schisto-somiasis-control project:a case study in Renshou County,Sichuan Province / 中国血吸虫病防治杂志

Objective To real?timely monitor the environment in the forestry schistosomiasis control project(CFSCP)area and to early warn the status of Oncomelania hupensis snails in the schistosomiasis endemic area. Methods Based on ArcGIS Engine 10.1 software,the Geographic Information System(GIS)platform of the forestry schistosomiasis project of real?time mon?itoring,early warning and emergency management in Renshou County,Sichuan Province,was designed and established. Re?sults The functions of the platform mainly included real?time monitoring of the environment in CFSCP area,and early warning of the crisis status of O. hupensis snails,as well as editing the map of snail distribution,query,spatial analysis and other GIS functions. Conclusion This platform could provide the scientific support to the forestry administrative department of the CF?SCP area.

Geospatial and clinical analyses on pediatric related road traffic injury in Malaysia / 世界急诊医学杂志（英文）

@#BACKGROUND: The main aim of this study is to utilize the geographical information system (GIS) software and perform the spatial analysis in relation to clinical data for road traffi c injury (RTI) pediatric cases attending the emergency department.METHODS: The study sample included pediatric patients (age less than 18 years) with road-related injuries within a district in Malaysia who attended emergency departments of two tertiary hospitals within the district. In addition to injury, pre-hospital care and outcome data, the coordinate of the locations were obtained by the ambulance paramedics by using portable handheld GPS unit brand Garmin? model GPS 72 H. The data was transferred into the excel format which in turn underwent GIS analysis by using ARCGIS? (by ESRI) software version 10.1 licensed to the study institution.RESULTS: A total of 102 (24.8％) of all motor vehicle crash (MVC) victims involved the pediatric age group (age 18 years and below). The mean (SD) age of the pediatric victims was 14.30 years (SD 3.830). Male comprised of 68 (66.7％) of the cases. Motorcyclists [88 (88.0％)] were the most common type of victims involved. Interestingly, the majority of the severely injured victims [75 (73％)] sustained the RTI on roads with maximum speed limit of 60 km/hour. The mean (SD) length of hospital stay was 7.83 days (5.59).CONCLUSION: The pediatric related road traffic injury in Malaysia causes significant health and social burden in the country. This study showed both important clinical and geographical factors that need to be taken into consideration for future preventive action.

Computation of geographic variables for air pollution prediction models in South Korea

Recent cohort studies have relied on exposure prediction models to estimate individual-level air pollution concentrations because individual air pollution measurements are not available for cohort locations. For such prediction models, geographic variables related to pollution sources are important inputs. We demonstrated the computation process of geographic variables mostly recorded in 2010 at regulatory air pollution monitoring sites in South Korea. On the basis of previous studies, we finalized a list of 313 geographic variables related to air pollution sources in eight categories including traffic, demographic characteristics, land use, transportation facilities, physical geography, emissions, vegetation, and altitude. We then obtained data from different sources such as the Statistics Geographic Information Service and Korean Transport Database. After integrating all available data to a single database by matching coordinate systems and converting non-spatial data to spatial data, we computed geographic variables at 294 regulatory monitoring sites in South Korea. The data integration and variable computation were performed by using ArcGIS version 10.2 (ESRI Inc., Redlands, CA, USA). For traffic, we computed the distances to the nearest roads and the sums of road lengths within different sizes of circular buffers. In addition, we calculated the numbers of residents, households, housing buildings, companies, and employees within the buffers. The percentages of areas for different types of land use compared to total areas were calculated within the buffers. For transportation facilities and physical geography, we computed the distances to the closest public transportation depots and the boundary lines. The vegetation index and altitude were estimated at a given location by using satellite data. The summary statistics of geographic variables in Seoul across monitoring sites showed different patterns between urban background and urban roadside sites. This study provided practical knowledge on the computation process of geographic variables in South Korea, which will improve air pollution prediction models and contribute to subsequent health analyses.

Computation of geographic variables for air pollution prediction models in South Korea

Recent cohort studies have relied on exposure prediction models to estimate individual-level air pollution concentrations because individual air pollution measurements are not available for cohort locations. For such prediction models, geographic variables related to pollution sources are important inputs. We demonstrated the computation process of geographic variables mostly recorded in 2010 at regulatory air pollution monitoring sites in South Korea. On the basis of previous studies, we finalized a list of 313 geographic variables related to air pollution sources in eight categories including traffic, demographic characteristics, land use, transportation facilities, physical geography, emissions, vegetation, and altitude. We then obtained data from different sources such as the Statistics Geographic Information Service and Korean Transport Database. After integrating all available data to a single database by matching coordinate systems and converting non-spatial data to spatial data, we computed geographic variables at 294 regulatory monitoring sites in South Korea. The data integration and variable computation were performed by using ArcGIS version 10.2 (ESRI Inc., Redlands, CA, USA). For traffic, we computed the distances to the nearest roads and the sums of road lengths within different sizes of circular buffers. In addition, we calculated the numbers of residents, households, housing buildings, companies, and employees within the buffers. The percentages of areas for different types of land use compared to total areas were calculated within the buffers. For transportation facilities and physical geography, we computed the distances to the closest public transportation depots and the boundary lines. The vegetation index and altitude were estimated at a given location by using satellite data. The summary statistics of geographic variables in Seoul across monitoring sites showed different patterns between urban background and urban roadside sites. This study provided practical knowledge on the computation process of geographic variables in South Korea, which will improve air pollution prediction models and contribute to subsequent health analyses.

Distribution of ticks (Acari: Ixodidae) infesting domestic ruminants in mountainous areas of Golestan province, Iran

<p><b>OBJECTIVE</b>To determine the prevalence of ticks on cattle in the mountainous areas of Golestan province and their geographical distribution.</p><p><b>METHODS</b>In total, 498 animals from 25 herds were selected to search for ticks in 2009-2010. Tick collection was carried out during four seasons, twice per season over a period of 12 month from March 2009 through February 2010 in two districts, Azadshahr and Ramian. Meteorological data were obtained from Iran Meteorological Organization. The geographical points recorded using a Garmin eTrex®H GPS.</p><p><b>RESULTS</b>A total of 255 ticks were collected from a total of 219 ruminants including 44 sheep, 63 goats, 99 cows and 13 camels in two districts of the mountainous area of Golestan province, including Azadshahr and Ramian. Five species of ixodid ticks were identified: Rhipicephalus sanguineus (66.5%), Rhipicephalus bursa (4.6%), Hyalomma marginatum (19.9%), Hyalomma anatolicum (6%) and Hyalomma asiaticum (4%). The densities of infestations were calculated for sheep, goats, cows and camels 0.9, 0.79, 0.16 and 0.43 respectively. Seasonal activity of each ixodid tick infesting domestic ruminants was determined. The distribution maps showed ixodid ticks on domestic ruminants, and Rhipicephalus sanguineus were dominant species in the area.</p><p><b>CONCLUSIONS</b>Such research provides necessary information for human and animal health service mangers to have a better understanding of prevention and control of vector borne diseases especially during the outbreaks.</p>

Spatio-temporal distribution characteristics of syphilis in Mainland China, 2005-20 1 1 / 中国感染控制杂志

Objective To investigate the spatio-temporal distribution characteristics of syphilis epidemic in Main-land China in 2005-2011.Methods Geographic information system was established based on the data of syphilis epidemic and demographic information from online reporting system of 3 1 provinces,municipalities and autonomous regions of Mainland China from 2005 to 2011,global indication of spatial autocorrelation(GISA),local indication of spatial autocorrelation (LISA),and spatial-temporal cluster analysis were conducted by GeoDa 0.95i and SaTScan 9.1 .1 software,high risk areas of spatial-temporal distribution of syphilis were determined.Results The number of syphilis in Mainland China in 2005-2011 were 1 841 217 cases,annual incidence was 20.07/100 000,suggesting a sign of obvious cluster distribution.Except 2011,GISA coefficient Moran’s I were statistically different.Accord-ing to LISA analysis,Jiangsu,Shanghai,Zhejiang and Fujian lay in high-high region in 2005-2009,Chongqing lay in high-low region in 2006-2008,and in 2011,no area was found in high-high region.Spatio-temporal cluster anal-ysis showed that the most likely cluster was in Shanghai and Zhejiang (2009-2011);the secondary cluster distribu-ted in five areas,including Guangdong,Guangxi and Hainan (2009-2011),Xinjiang (2009-2011),Liaoning and Jilin (2010-2011),Gansu,Ningxia,Shaanxi,Sichuan,Chongqing,Shanxi and Inner Mongolia (2011),Beijing and Tianjin (2008-2010).Conclusion Significant spatio-temporal cluster pattern is found for the distribution of syphilis in mainland China,which can be meaningful for pertinent control.

Distribution of ticks (Acari：Ixodidae) infesting domestic ruminants in mountainous areas of Golestan province, Iran

Objective: To determine the prevalence of ticks on cattle in the mountainous areas of Golestan province and their geographical distribution.Methods:collection was carried out during four seasons, twice per season over a period of 12 month from March 2009 through February 2010 in two districts, Azadshahr and Ramian. Meteorological data were obtained from Iran Meteorological Organization. The geographical points recorded using a Garmin eTrex?H GPS.Results:In total, 498 animals from 25 herds were selected to search for ticks in 2009-2010. Tick 63 goats, 99 cows and 13 camels in two districts of the mountainous area of Golestan province, including Azadshahr and Ramian. Five species of ixodid ticks were identified: Rhipicephalussanguineus A total of 255 ticks were collected from a total of 219 ruminants including 44 sheep, anatolicum (6%) and Hyalomma asiaticum (4%). The densities of infestations were calculated for sheep, goats, cows and camels 0.9, 0.79, 0.16 and 0.43 respectively. Seasonal activity of each ixodid tick infesting domestic ruminants was determined. The distribution maps showed ixodid ticks on domestic ruminants, and Rhipicephalus sanguineus were dominant species in the area.Conclusions:Such research provides necessary information for human and animal health (66.5%), Rhipicephalus bursa (4.6%), Hyalomma marginatum (19.9%), Hyalomma service mangers to have a better understanding of prevention and control of vector borne diseases especially during the outbreaks.

Spatio-temporal evolution on geographic boundaries of HFRS endemic areas in Shandong Province, China / 生物医学与环境科学（英文）

<p><b>OBJECTIVE</b>To take effective strategies and measures for the prevention and control of hemorrhagic fever with renal syndrome (HFRS) endemic areas by investigating its dynamic geographical boundaries in Shandong Province, China.</p><p><b>METHODS</b>The incidence of HFRS from 1982 to 2008 in Shandong Prvince, China, was detected with inverse distance weighting (IDW) interpolation based on geographical information system (GIS). Dynamic geographical boundaries of HFRS endemic areas in Shandong Province, China, were analyzed by geographical boundary analysis.</p><p><b>RESULTS</b>The HTN-type endemic areas of HFRS were located in Linyi City in phase 1 (1982-1986), the SEO-type endemic areas of HFRS were located in Jining City in phase 2 (1987-2003), and the endemic areas of HFRS in Jining City gradually disappeared and the endemic areas of HFRS with mixed-types of reservoir rodents were located in Linyi City in phase 3 (2004-2008). Meanwhile, new endemic areas emerged in the northwestern Shandong province, China.</p><p><b>CONCLUSION</b>The SEO-type endemic areas of HFRS are located in western Shandong Province, China, and the HTN-type endemic areas of HFRS are located eastern Shandong Province, Chin, indicating that the endemic areas of HFRS should be vaccinated and rodents should be controlled.</p>

Design and implementation of Geographical Information System on prevention and control of cholera / 中华流行病学杂志

To build the Geographical Information System (GIS) database for prevention and control of cholera programs as well as using management analysis and function demonstration to show the spatial attribute of cholera.Data from case reporting system regarding diarrhoea,vibrio cholerae,serotypes of vibrio cholerae at the surveillance spots and seafoods,as well as surveillance data on ambient environment and climate were collected.All the data were imported to system database to show the incidence of vibrio cholerae in different provinces,regions and counties to supoport the spatial analysis through the spatial analysis of GIS.The epidemic trends of cholera,seasonal characteristies of the cholera and the variation of the vibrio cholerae with times were better understood.Information on hotspots,regions and time of epidemics was collected,and helpful in providing risk prediction on the incidence of vibrio cholerae.The exploitation of the software can predict and simulate the spatio-temporal risks,so as to provide guidance for the prevention and control of the disease.

Mapa de ocupaciones, riesgos laborales y recursos en salud ocupacional / Map of jobs, working risks and resources in occupational health

INTRODUCCIÓN: La gestión y el desarrollo acelerado de la salud de los trabajadores en el país demandan la introducción de tecnología de punta para optimizar sus acciones. OBJETIVOS. Elaborar una herramienta que permita de forma interactiva conocer rápidamente la distribución geográfica de nuestras ocupaciones, el tipo de riesgo y los recursos humanos capacitados con que cuenta el subsistema de salud ocupacional. MÉTODOS. Fue elaborado un sistema automatizado computacional Macromedia (multimedia) Flash MX en una plataforma operativa Windows XP. Se confeccionó una encuesta que inventariaba los datos del municipio en relación con las principales industrias y centros laborales, los riesgos más importantes, los recursos humanos y materiales y la capacitación con que cuentan los recursos humanos dedicados a la salud ocupacional de ese municipio. RESULTADOS. El instrumento permitió el análisis rápido y fácil por áreas geográficas relacionadas con los riesgos del trabajo y demás información solicitada. Los resultados del municipio Arroyo Naranjo son mostrados como ejemplo de aplicabilidad del sistema, así como de sus interacciones.

INTRODUCTION: The management and the accelerated development of the workers' health in our country to demand the introduction of point technology to optimize its actions. OBJECTIVES: To design a tool allows in a interactive way to know quickly the geographical distribution of our jobs, the type of risk and the trained human resources available in the occupational health subsystem. METHODS: A Macromedia (multimedia) automated computed system was designed in a Windows XP functional platform as well as a survey to make an inventory of municipal data in relation to the main industries and working centers, the more important risks, the human and material resources and the training available for human resources involved in the occupational health of this municipality. RESULTS: The tool allows us a fast and easy analysis by geographical areas related to the work risks and other requested information. The results of Arroyo Naranjo municipality are showed as an example of applicability of system, as well as its interactions.

Método AVI (Aquifer Vulnerability Index) para a classificação da vulnerabilidade das águas subterrâneas na região de Campos dos Goytacazes, Rio de Janeiro / AVI method (Aquifer Vulnerability Index) for groundwater vulnerability classification in Campos dos Goytacazes region, Rio de Janeiro, Brazil

O presente artigo apresenta estudos para a classificação da vulnerabilidade àcontaminação das águas subterrãneas na região de Campos dos Goytacazes, Rio de Janeiro. O método AVI (Aquifer Vulnerability Index) foi aplicado, utilizando-se o ferramental do Sistema de Informação Geográfica. O método AVI aplica o conceito de resistência hidráulica, dada pela somatória das taxas de espessura da zona não saturada pelas condutividades hidráulicas do meio. Os mapas resultantes mostraram que a região possui sensibilidade àcontaminação das águas subterrâneas, com classificações que variam de "Alta" a "Extremamente alta" (0-10 dias a 10-100 dias, respectivamente). Essa sensibilidade elevada ocorre pela existência de formações de elevada permeabilidade (areias) e níveis de água rasos, típicas ocorrências do delta do rio Paraíba do Sul. O índice vulnerabilidade Alta ocorre: (1) nas margens direita e esquerda do rio Paraíba do Sul, (2) oeste da área (região de confluência do rio Muriaé com o rio Paraíba do Sul), e (3) parte leste da área urbana de Campos dos Goytacazes. Os terrenos com índice de vulnerabilidade Extremamente alta estão localizados: (1) na porção norte (área do Aquífero Barreiras), (2) na área urbana de Campos dos Goytacazes e dos distritos de Saturnino Braga e Mucurepe, (3) porção leste da área, (4) em terreno entre o canal de Cambaíba e o canal de Andreza, e (5) na porção sul da área (Lagoa Feia). Os resultados mostram a caracterização de um importante parãmetro ambiental da região, pretendendo subsidiar políticas públicas para preservação, proteção e uso racional desse importante manancial subterrâneo.

The present paper shows studies aiming groundwater vulnerability evaluation in Campos dos Goytacazes region, Rio de Janeiro, Brazil. The Aquifer Vulnerability Index (AVI) was the vulnerability method applied, using Geographical Information System tools. The AVI Method has adopted the concept of hydraulic resistivity (sum of taxes among unsaturated thickness and hydraulic conductivity). Result maps showed that the region has groundwater vulnerability to contamination from high to extreme levels. The vulnerability varied from "High" to "Extremely high" indexes (from 0-10 days to 10-100 days, respectively). This high vulnerability was attributed to the occurrence of high permeability formations (sands) and shallow water table, typical from the delta of Paraíba do Sul river. High vulnerability index terrains are situated in the following areas: (1) along the right and left banks of Paraíba do Sul river, (2) in the west side of the study area (region of Muriaé and Paraíba do Sul rivers confluence), and (3) in the east side of urban area of Campos dos Goytacazes. The Extremely high index areas are located: (1) in the north portion (Barreiras aquifer), (2) in urban area of Campos dos Goytacazes, besides Saturnino Braga and Mucurepe districts, (3) eastern region of the studied area, (4) in a portion area between Cambaíba and Andreza water drainage channels, and (5) in terrains situated in the south portion of the area (Feia lake). These results showed an important environmental parameter in the river delta region, intending to subsidized public policies to preserve, to protect, and to sustain this important groundwater resource.

Study on the spatiotemporal trend of Japanese encephalitis in Guangxi,based on geographic information system and space-time permutation scan statistic / 中华流行病学杂志

Objective To study the spatiotemporal trend of Japanese encephalitis in Guangxi Zhuang Autonomous Region between 1989 and 2006.Methods Retrospective space-time permutation scan statistic and inverse distance weighted (IDW) interpolation were employed to detect the spatiotemporal trend of Japanese encephalitis in Guangxi,from the year 1989 to 2006.Results The spatiotemporal pattern of Japanese encephalitis was divided into four phases by IDW interpolation maps,from 1989 to 2006.The first phase was spatiotemporal cluster located in southeast region,from 1989 to 1996.The second phase showed discrete distribution from 1997 to 1998.The third phase of spatiotemporal cluster located in Lingshan county,Pubei county and Bobai county,in 1999.And the last phase was spatiotemporal cluster located in northwest region from 2000 to 2006.Three statistically significant spatiotemporal clusters were detected by retrospective space-time permutation scan statistic.The primary cluster appeared in 1999 (LLR=253.25,P=0.001,RR=4.62),with 109°54′ E,22°28′ N (located in Pubei county) as its center and radiated 45.24 km.From 2000 to 2006,the secondary cluster showed in northwest (LLR=75.91,P=0.001,RR = 1.88),with center located at 105°23′ E,24°68′ N (Longlin county),and radiated 199.85 kn.From 1989 to 1996,the other secondary cluster appeared in the southeast area(LLR=46.29,P=0.001,RR= 1.16),with center located at 110°94′ E,24°03′N(Zhaoping county) and radiated 229.12 km.Conclusion Space-time permutation scan statistic and geographical information system could be applied to quantitatively detect the potentially spatiotemporal trend of the disease.The spatiotemporal cluster shifted from southeast to northwest,from 1989 to 2006.