Sobrepeso y obesidad en adultos: aportes de un análisis geoespacial

Objetivo: Realizar un análisis geoespacial del comportamiENTo de sobrepeso y obesidad basado en la "Encuesta Nacional de Situación Nutricional" de 2015. Metodología: Se aplica un modelo de análisis geoespacial de distribución espacial trasversal a partir de la Encuesta, a escala departamENTal. Para lograrlo, se calculan las prevalencias de sobrepeso, obesidad clase i, ii y iii según el índice de masa corporal y la obesidad abdominal en mujeres y hombres de acuerdo con la circunferencia de cintura. Se utilizan herramiENTas de sistemas de información geográfica, como el índice de Moran Global, el índice local de autocorrelación espacial (lisa) y el G* Getis Ord, para determinar los patrones de agrupaciones altas y bajas prevalencias. Resultados: Los conglomerados locales ilustrados en los mapas demuestran que sus residuales están distribuidos normalmENTe en el espacio. Se observa una aleatoriedad en el modelo de la autocorrelación espacial. Las agrupaciones de lisa alta-alta se presENTan en diez departamENTos con estas condiciones (La Guajira, Magdalena, Atlántico, Sucre, Cesar, Norte de Santander, Córdoba, Antioquia, Chocó y Cundinamarca). Según el índice de masa corporal, el 38,5 por cada 100 habitantes tienen sobrepeso; el 20,9 por cada 100 habitantes presENTa obesidad, y según la circunferencia de cintura, 53,2 por cada 100 habitantes tiene obesidad abdominal. Conclusiones: La distribución espacial del sobrepeso y la obesidad puede estar condicionada con variables sociodemográficas tratadas en el estudio. El país tiene el reto de continuar implemENTando acciones poblacionales en salud pública para disminuir estas condiciones.

Objective: To carry out a geospatial analysis of the behavior of overweight and obesity based on the "National Survey of Nutritional Situation" of 2015. Methodology: A geospatial analysis model of transversal spatial distribution is applied from the Survey, on a departmENTal scale. To achieve this, the prevalence of overweight, class I, II and III obesity according to body mass index and abdominal obesity in women and men according to waist circumference are calculated. Geographic information system tools, such as the Global Moran Index, Local Spatial Autocorrelation Index (LISA), and G* Getis Ord, are used to determine patterns of high clustering and low prevalence. Results: The local clusters illustrated on the maps demonstrate that their residuals are normally distributed in space. A randomness is observed in the spatial autocorrelation model. High-high LISA clusters occur in ten departmENTs with these conditions (La Guajira, Magdalena, Atlántico, Sucre, Cesar, Norte de Santander, Córdoba, Antioquia, Chocó and Cundinamarca). According to the body mass index, 38.5 per 100 inhabitants are overweight; 20.9 per 100 inhabitants are obese, and according to waist circumference, 53.2 per 100 inhabitants have abdominal obesity. Conclusions: The spatial distribution of overweight and obesity may be conditioned by the sociodemographic variables treated in the study. The country has the challenge of continuing to implemENT population actions in public health to reduce these conditions.

Objetivo: Realizar uma análise geoespacial do comportamENTo do sobrepeso e da obesidade com base na "Pesquisa Nacional de Situação Nutricional" de 2015. Metodologia: Aplica-se um modelo de análise geoespacial de distribuição espacial transversal da Pesquisa, em escala departamENTal. Para isso, calcula-se a prevalência de sobrepeso, obesidade graus I, II e III segundo o índice de massa corporal e obesidade abdominal em mulheres e homens segundo a circunferência da cintura. As ferramENTas do sistema de informações geográficas, como o Índice de Moran Global, o Índice de Autocorrelação Espacial Local (Smooth) e o G* Getis Ord, são usadas para determinar padrões de alto agrupamENTo e baixa prevalência. Resultados: Os clusters locais ilustrados nos mapas demonstram que seus resíduos são normalmENTe distribuídos no espaço. Uma aleatoriedade é observada no modelo de autocorrelação espacial. Grupos de tainhas alto-alto ocorrem em dez departamENTos com essas condições (La Guajira, Magdalena, Atlântico, Sucre, Cesar, Norte de Santander, Córdoba, Antioquia, Chocó e Cundinamarca). De acordo com o índice de massa corporal, 38,5 por 100 habitantes estão acima do peso; 20,9 por 100 habitantes são obesos e, segundo a circunferência da cintura, 53,2 por 100 habitantes têm obesidade abdominal. Conclusões: A distribuição espacial do sobrepeso e da obesidade pode estar condicionada pelas variáveis sociodemográficas tratadas no estudo. O país tem o desafio de continuar implemENTando ações populacionais em saúde pública para reduzir esses agravos.

Association of community built environment with obesity among elderly residents / 环境与职业医学

Background In the context of improving urban environment for healthy aging, it is necessary to rationally plan and provide community living space and public service facilities suitable for the elderly, and constantly optimize the built environment towards an age-friendly city. Objective To understand the relationship between community built environment and obesity in the elderly in Longgang City, and to provide a reference basis for improving the health of the elderly. Methods Elderly adults aged 60-90 years (n=6527) who completed a physical examination during the period from October 2020 to January 2021 in Longgang City were surveyed, and data on height and weight, waist circumference (WC), and other sociological demographic characteristics were obtained. Overweight was determined by 24 kg·m−2 ≤ body mass index (BMI) < 28 kg·m−2 and obesity by BMI ≥ 28 kg·m−2. Men with WC ≥ 85 cm and women with WC ≥ 80 cm were considered central obesity. Based on the participants' residential addresses, geocoding was performed using a geographic information system, and built environment indicators such as restaurants, convenience stores, and basic medical facilities were obtained using Gaode Map. A binary logistic regression model with adjusted individual-level covariates was used to evaluate the relationship between obesity and built environment indicators among elderly adults by gender and age. Results Among the 6527 community elderly, 46.93% were male and 53.07% were female, with a mean age of (73.69±0.07) years, a mean BMI of (24.32±2.84) kg·m−2, and 51.92% of the elderly were overweight or obese. The regression results showed that for elderly men, the more convenience stores and the higher mixed land use in residential areas, the higher risk of central obesity; however, the increases in street connectivity and accessibility to parks and recreational areas were associated a decreased risk of central obesity. The prevalence of overweight/obesity was higher among elderly women with more convenience stores in residential areas, while increased street connectivity was associated with a lower prevalence of central obesity among elderly women. Accessibility to primary health care facilities was negatively associated with the risk of central obesity among the 60- to 70-year-olds. For elderly residents aged 71−80 years, higher mixed land use and better accessibility to transit stations were associated with a higher prevalence of overweight/obesity, while street connectivity was negatively associated with the central obesity. Proximity to parks and recreational areas was associated with a reduced risk of overweight/obesity among the 81- to 90-year-olds. Conclusion Among the variables of a 500-m neighborhood built environment, the number of convenience stores, mixed land use, street connectivity, accessibility to primary health care facilities, accessibility to public transit stations, and accessibility to parks and recreational areas are correlated with obesity among elderly residents, and the degree of influence varies by gender and age.

Genetic diversity of Mycobacterium leprae in the state of São Paulo, an area of low-leprosy incidence in Brazil

ABSTRACT Background: Brazil has the second largest number of leprosy cases worldwide, and the state of São Paulo has been considered non-endemic since 2006. Methods: We analyzed 16 variable number tandem repeats loci and three single nucleotide polymorphisms loci of Mycobacterium leprae (M. leprae) in 125 clinical isolates from patients in different municipalities in the state. Results: The clustering pattern of M. leprae indicated that the transmission of leprosy persisted in the state and included scenarios of intra-extra-familial transmission in areas with low endemicity. Conclusions: A significantly active circulation of M. leprae was observed. Therefore, surveillance and control measures must be implemented.

Iodine nutrition level and its spatial distribution in key populations in Hubei Province in 2020 / 中华地方病学杂志

Objective:To learn about the iodine nutrition level and its spatial distribution status in key populations in Hubei Province, so as to provide a basis for adjustment of iodine supplementation policy and the realization of scientific and accurate iodine supplementation.Methods:In 2020, a sampling was carried out in Hubei Province according to the "National Iodine Deficiency Disorders Monitoring Plan (2016 Edition)" to monitor the concentration of salt iodine and urinary iodine of key populations (children ages 8 - 10 years old and pregnant women). The spatial distribution of iodine nutrition levels was analyzed by spatial epidemiology.Results:The median salt iodine of 17 263 children's family salt samples was 25.0 mg/kg, and the median urinary iodine (MUI) was 217.0 μg/L. There was significant spatial aggregation in the distribution of urinary iodine level in children at the county level ( Moran's Index = 0.36, P < 0.001). The significant hot spot areas with high urinary iodine level among children were located in Shiyan City and Xiangyang City, while the significant cold spot areas with low urinary iodine level were mainly concentrated in Yichang City. The median salt iodine of 8 618 pregnant women's family salt samples was 25.1 mg/kg, the MUI was 176.3 μg/L. The urinary iodine level among pregnant women at the county level was spatially clustered ( Moran's Index = 0.22, P = 0.003) . The significant hot spot areas with high urinary iodine level among pregnant women were mainly in Enshi Tujia and Miao Autonomous Prefecture, the significant cold spot areas were mainly concentrated in Yichang City. Conclusions:In 2020, the iodine nutrition of children in Hubei Province is at a super appropriate level (200 - 299 μg/L), and the iodine nutrition status of pregnant women is more sensitive, which is close to the lower limit of the appropriate level (150 μg/L). The urinary iodine level of children and pregnant women has significant spatial aggregation at the county level. Targeted intervention will be needed in counties (dictricts) where the urinary iodine level is lower or higher than the normal range, to achieve accurate and scientific iodine supplementation.

Application of remote sensing in civil engineering

Geographic Information System (GIS) is usually carried out to catch, investigate, control, and store to give any kind of geological information. The blend of planning, information base innovation, and factual examination is all that all GIS implies and that is the purpose for its utilization in structural designing. In the development business, it is utilized in the underlying stage (preliminary stage), during spatial situating that will be settled cautiously with checking GIS innovation generally utilized attributable to its potential for offering extraordinary or new ways for settling the issue identified with ecological which bring about the diminishing expense, quality improvement for projects. GIS programming resembles a multitasker that permits so numerous information plans utilized in development improvement permitting structural architects to give out information to numerous organizations in the necessary arrangement while keeping up with information unwavering quality GIS permits to reuse, oversee, share, examine information easily in this manner overseeing time and assets.

Satellite and historical data, and statistical modeling to predict potential fishing zones for dolphinfish, Coryphaena hippurus (Perciformes: Coryphaenidae) in Colombian Pacific / Datos satelitales e históricos, y modelado estadístico, para predecir zonas de pesca potencial del pez dorado, Coryphaena hippurus (Perciformes: Coryphaenidae) en el Pacífico colombiano

Introduction: The prediction of potential fishing areas is considered one of the most immediate and practical approaches in fisheries and is an essential technique for decision-making in managing fishery resources. It helps fishermen reduce their fuel costs and the uncertainty of their fish catches; this technique allows to contribute to national and international food security. In this study, we build different combinations of predictive statistical models such as Generalized Linear Models and Generalized Additive Models. Objective: To predict the spatial distribution of PFZs of the dolphinfish (Coryphaena hippurus L.) in the Colombian Pacific Ocean. Methods: We built different combinations of Generalized Linear Models and Generalized Additive Models to predict the Catch Per Unit Effort of C. hippurus captured from 2002 to 2015 as a function of sea surface temperature, chlorophyll-a concentration, sea level anomaly, and bathymetry. Results: A Generalized Additive Model with Gaussian error distribution obtained the best performance for predicting PFZs for C. hipurus. Model validation was performed by calculating the Root Mean Square Error through a cross-validation approach. The R2 of this model was 50 %, which was considered suitable for the type of data used. January and March were the months with the highest Catch per Unit Effort values, while November and December showed the lower values. Conclusion: The predicted PFZs of C. hippurus with Generalized Additive Models satisfactorily with the results of previous research, suggesting that our model can be explored as a tool for the assessment, decision making, and sustainable use of this species in the Colombian Pacific Ocean.

Introducción: La predicción de zonas potenciales de pesca se considera uno de los enfoques más inmediatos y efectivos en las pesquerías, es una técnica importante para la toma de decisiones en el manejo de los recursos pesqueros. Ayuda a los pescadores a reducir su costo de combustible y también a disminuir la incertidumbre de sus capturas, esta técnica permite contribuir a la seguridad alimentaria nacional e internacional. En este estudio, se construyeron diferentes combinaciones de modelos estadísticos predictivos como modelos lineales generalizados y modelos aditivos generalizados. Objetivo: predecir la distribución espacial de las zonas potenciales de pesca del pez dorado (Coryphaena hippurus L.) en el Pacífico colombiano. Métodos: La variable de respuesta se expresó en escala de captura por unidad de esfuerzo, es decir, el número de individuos de C. hippurus capturados por un número total de anzuelos disponibles entre 2002 y 2015. Temperatura de la superficie del mar, concentración de clorofila, anomalía del nivel del mar y batimetría, se utilizaron como variables explicativas para los meses de estacionalidad de C. hippurus (noviembre - marzo). Resultados: El modelo con mejor rendimiento para la predicción de zonas potenciales de pesca fue un modelo aditivo generalizado con distribución de error gaussiana y función de enlace de registro, que se seleccionó en función del criterio de información de Akaike, el R2 y la desviación explicada. La validación del modelo se realizó calculando el error cuadrático medio a través de un enfoque de validación cruzada. El ajuste de este modelo fue del 50 %, lo que puede considerarse adecuado para el tipo de datos utilizados. Enero y marzo fueron los meses con mayor captura por unidad de esfuerzo y noviembre-diciembre los meses con menor. Conclusión: Las zonas potenciales de pesca previstas coincidieron satisfactoriamente con investigaciones anteriores, lo que sugiere que nuestro modelo es una herramienta poderosa para la evaluación, toma de decisiones y uso sostenible de los recursos pesqueros de C. hippurus en el Pacífico colombiano.

Geographic information system-based mapping of air pollution & emergency room visits of patients for acute respiratory symptoms in Delhi, India (March 2018-February 2019)

Background & objectives: Studies assessing the spatial and temporal association of ambient air pollution with emergency room visits of patients having acute respiratory symptoms in Delhi are lacking. Therefore, the present study explored the relationship between spatio-temporal variation of particulate matter (PM)2.5 concentrations and air quality index (AQI) with emergency room (ER) visits of patients having acute respiratory symptoms in Delhi using the geographic information system (GIS) approach. Methods: The daily number of ER visits of patients having acute respiratory symptoms (less than or equal to two weeks) was recorded from the ER of four hospitals of Delhi from March 2018 to February 2019. Daily outdoor PM2.5 concentrations and air quality index (AQI) were obtained from the Delhi Pollution Control Committee. Spatial distribution of patients with acute respiratory symptoms visiting ER, PM2.5 concentrations and AQI were mapped for three seasons of Delhi using ArcGIS software. Results: Of the 70,594 patients screened from ER, 18,063 eligible patients were enrolled in the study. Winter days had poor AQI compared to moderate and satisfactory AQI during summer and monsoon days, respectively. None of the days reported good AQI (<50). During winters, an increase in acute respiratory ER visits of patients was associated with higher PM2.5 concentrations in the highly polluted northwest region of Delhi. In contrast, a lower number of acute respiratory ER visits of patients were seen from the ‘moderately polluted’ south-west region of Delhi with relatively lower PM2.5 concentrations. Interpretation & conclusions: Acute respiratory ER visits of patients were related to regional PM2.5 concentrations and AQI that differed during the three seasons of Delhi. The present study providessupport for identifying the hotspots and implementation of focused, intensive decentralized strategies to control ambient air pollution in worst-affected areas, in addition to the general city-wise strategies.

Spatiotemporal Epidemiology of Japanese Encephalitis Cases of Dibrugarh district from 2014 to 2018: A Hospital Record-Based Descriptive Study

Background: Since 1976, several JE outbreaks have been reported from most of the districts of Assam. Objectives: The present study aims to conduct a descriptive and spatial analysis to understand the spatiotemporal distribution of JE cases of Dibrugarh district. Methods: Spatiotemporal distribution of JE cases from 2014 to 2018 at village level was described in maps using Geographical Information System. Spatial association between JE reporting places in the study area has been analyzed using spatial statistics analytical techniques. Temporal distribution of JE cases from 2014 to 2018 for different variable were described in tables. Results: During the period 2014–2018, incidence rate of JE cases ranged between 2.7/100,000 and 5.9/100,000 population and highest case fatality rate was 18.3% in 2014. Highest numbers of JE cases were reported in the age group 0–10 years. Most of the JE cases were from rural areas (84.2%). There was a seasonal pattern of JE which peaked in July. There were hotspots around Dibrugarh Municipality area, Duliajan oil town, Hatiali gaon, Naharkatiya chah bagicha, Nagaon Dhadumia gaon, and Nahortoli Tea Estate. Conclusion: On the basis of the study, JE hotspots can be identified that would help health authorities to further investigate and identify the factors responsible for its occurrence.

Discussion on geographical distribution of regional trauma rescue and treatment system in China / 中华创伤杂志

Trauma center is an important link of trauma treatment, which is beneficial for professional integrated treatment of trauma patients and reduction of disability and death rate. The establishment of trauma rescue and treatment system is conducive to improving the regional trauma treatment capacity, rationalizing the layout of medical resources and standardizing the trauma treatment. Making full use of geographic information system (GIS) to analyze the big data such as the number of trauma patients, population, ground traffic situation and geographic information in the region and scientifically plan the number and location of trauma centers in the region is crucial to further optimize the geographic layout of trauma treatment centers, coordinate regional trauma treatment resources and improve the overall treatment capacity and is conducive to optimizing trauma treatment resources, improving regional trauma treatment capacity and reducing the disability and death rate of trauma patients. Based on domestic and foreign literature researches, the authors discuss how to use GIS to optimize the trauma rescue and treatment system in China in order to provide a useful reference for construction of regional trauma rescue and treatment system.

Tritrophic relations and spatial distribution of fruit flies (Diptera: Tephritidae) in the Cerrado and Caatinga regions in Piauí, Brazil

ABSTRACT Knowledge about the spatial distribution of fruit flies (Diptera: Tephritidae) and tritrophic interactions (fruit-fruit fly parasitoid) contributes to the monitoring and maintenance of the numerical density at a level lower than economic damage. The purpose of this study was to identify the spatial distribution and associations of fruit flies with their parasitoids and host plants in the municipality of Bom Jesus-PI. The flies were obtained from fruit collection from July 2018 to May 2019. A total of 1,711 individuals were obtained, represented by six species: Anastrepha obliqua (Macquart, 1835), An. fraterculus (Wiedemann, 1830), An. alveata Stone, 1942, An. sororcula Zucchi, 1979, An. zenildae Zucchi, 1979 and Ceratitis capitata (Wiedemann, 1824). Anastrepha obliqua was the species with the widest distribution throughout the ecotone area. Ceratitis capitata is distributed only in the urban perimeter. A tritrophic relationship occurred between four species of parasitoids, Asobara anastrephae (Muesebeck, 1958) or Opius sp. associated with An. obliqua in Spondias mombin or S. tuberosa fruits. Opius sp. has also been associated with An. alveata in Ximenia americana. Pachycrepoideus vindemiae was obtained from C. capitata in Malpighia emarginata, in addition to An. obliqua in Averrhoa carambola. Therefore, fruit flies are associated with native fruit trees (S. tuberosa, S. mombin, S. purpurea, P. acutangulum, Inga laurina, X. americana) and exotic fruits (M. emarginata, A. carambola, P. guajava). Ceratitis capitata was recorded for the first time in the state of Piauí infesting I. laurina (Sw.) Willd. This is the first record of the parasitoid genus Spalangia. in An. obliqua in Piauí and in the semiarid region of Brazil.

Spatial distribution characteristics of Keshan disease in Shandong Province / 中华地方病学杂志

Objective:To investigate the spatial distribution characteristics of Keshan disease in Shandong Province, and to provide evidence for prevention and control of Keshan disease.Methods:The incidence data of Keshan disease in Shandong Province from 1960 to 2018 were collected from Shandong Provincial Institute for Endemic Disease Control and Prevention, and a spatial database was built. Global and local spatial autocorrelation (Moran's I) were analyzed by ArcGIS 10.2 and GeoDa 1.14 softwares, respectively. Local indicators on spatial association (LISA) aggregation graph was drawn. This allowed us to investigate the spatial autocorrelation and cluster range of the distribution of Keshan disease in Shandong Province. Results:A total of 4 172 cases of Keshan disease were reported in Shandong Province with an annual incidence rate of 0 to 51.4/10 000 of the population at the township-level from 1960 to 2018. Global spatial autocorrelation analysis on the incidence of Keshan disease at the township-level showed that global Moran's I values ranged from 0.020 to 0.429 in 1962 - 1964, 1969 - 1985, 1989, 1995, 1998 - 2001 and 2004 - 2016 ( P < 0.05), thus indicating significant spatial autocorrelation overall. LISA analysis further revealed that high-high clusters of Keshan disease existed in 1960, 1962 - 1964, 1969 - 1985, 1989, 1998 - 2000 and 2002 - 2016. These clusters were predominantly distributed in three areas: Zoucheng City, Pingyi County and Sishui County in the southwest of Shandong Province; Wulian County and Ju County in the southeast of Shandong Province; and Qingzhou City, Linqu County and Yishui County in the central and middle-south of Shandong Province. Conclusions:Keshan disease exhibits significant spatial autocorrelation in Shandong Province. High-high clusters are mainly located in certain townships in the southwest, southeast, central and middle-south of Shandong Province.

Dinámica ambiental en la Eco-región Lachuá: una representación espacial desde la perspectiva de los guardarecursos / Environmental dynamics in Lachuá Ecoregión: a spatial representation from park rangers perspective

El mapeo participativo es una modalidad de interacción horizontal entre los actores implicados en procesos de toma de decisiones, que tiene como finalidad la representación gráfica del territorio. Para ello, se combina la percepción local con herramientas modernas de cartografía. Con la finalidad de documentar la percepción espacial de los guardarecursos del Parque Nacional Laguna Lachuá (PNLL) con relación a la dinámica de la biodiversidad actual en la Eco-región Lachuá, se utilizó la herramienta del mapa hablado durante un taller con los 11 guardarecursos del parque en 2018. Los mapas de la Eco-región se dividieron en cuatro zonas: Noreste (NE), Sureste (SE), Suroeste (SO) y Noroeste (NO), dentro del PNLL como en la zona de amortiguamiento. Se contabilizaron los elementos favorables y desfavorables para la biodiversidad reportadas para cada zona. Se comparó la información proporcionada por los guardarecursos con las imágenes satelitales de la Eco-región mediante un análisis de Sistemas de Información Geográfica (SIG). De esta manera, se brinda un enfoque integral para comprender los patrones del paisaje actual, ya que estos son resultado de procesos socio-económicos y políticos que culminaron en conflictos del manejo de la tierra y los recursos. Se identificó que en el PNLL los elementos desfavorables más reportados fueron los cultivos, carreteras y asentamientos humanos. En la zona de amortiguamiento los elementos desfavorables corresponden a los cultivos, (p.ej.: palma africana) y los asentamientos humanos. Además, las áreas con mayor cobertura boscosa son las zonas NE y NO en el PNLL.

Participatory mapping facilitates horizontal interaction among interested parties in decision-making processes, which pursues the graphic representation of the territory. This technique unifies local perception with modern cartography. It eases communication and has been used to document spatial representations and resource management thus, integrating tools such as a Geographic Information System (GIS) might facilitate solutions in land conflicts and community governance. In this article, we share the findings regarding the spatial perception biodiversity dynamics of park rangers in National Park Laguna Lachuá (PNLL) during a workshop in 2018, documented through the "talking maps" tool. To analyze each map, we used GIS sofware, by dividing the PNLL and its buffer zone into four quadrants: Northeast (NE), Southeast (SE), Southwest (SO), and Northwest (NO). We registered every record reported by the park rangers from a list of positive and negative elements that have an effect on biodiversity. We then compared the information reported with spatial layers in GIS to evaluate which elements were detectable and viceversa. This is relevant since participatory mapping allows a more integral understanding of landscape patterns than GIS on its own and given the fact that the actual landscape is the result of several socio-economic and political processes that have created land and resource management conflicts. We identified that the unfavorable elements inside the PNLL are agriculture, roads, and human settlements, and in the buffer zone were agriculture, African palm, and human settlements. The quadrants with more forest cover corresponded to NE and NO inside the park.

Distribution of Chinese traditional villages and influencing factors for regionalization / Distribuição das aldeias tradicionais chinesas e fatores de influência para a regionalização

ABSTRACT: Traditional Villages (TVs) are typical and representative of the agricultural civilization in millions of Chinese villages. The distribution of TVs shows spatial heterogeneity, based on the complexity and diversity of several influencing factors. In this study, 6,819 Chinese TVs were identified and the influencing factors that affect their distribution were screened in terms of three indicator groups: climatic, geographic, and humanity-related factors. Additionally, the K-means clustering algorithm clustered the TVs into different distribution regions. The quantitative relationships between the dominant influencing factors of different distribution regions were revealed to ensure a lucid understanding of the regional distribution of TVs. The results indicated that 1) climatic factors have the greatest impact on the spatial distribution of TVs, followed by geographic factors, particularly the elevation, and then by human factors, of which ethnic distribution played a relatively important role. 2) Twenty-one TV clustering distributions were obtained, which were classified into eight regions of TV distribution with different dominant influencing factors. Management and protective strategies were formulated based on the attribute analysis of influencing factors in each region. The obtained results delineated homogeneous TV distribution regions via the clustering method to achieve an accurate statistical analysis of the influencing factors. This study proposes a new perspective and reference for managing and protecting the diversity, continuity, and integrity of TVs across administrative regions.

RESUMO: As aldeias tradicionais (TVs) são típicas e representativas da civilização agrícola em milhões de comunidades chinesas. A distribuição das TVs mostra heterogeneidade espacial, baseada na complexidade e diversidade de diversos fatores influenciadores. Neste estudo, 6.819 TVs chinesas foram identificadas e os fatores que influenciam sua distribuição foram analisados em termos de três grupos de indicadores: fatores climáticos, geográficos e relacionados à humanidade. Além disso, o algoritmo de agrupamento K-means agrupou as TVs em diferentes regiões de distribuição. As relações quantitativas entre os fatores de influência dominantes de diferentes regiões de distribuição foram reveladas para garantir uma compreensão lúcida da distribuição regional de TVs. Os resultados indicam que 1) os fatores climáticos têm maior impacto na distribuição espacial das TVs, seguidos dos geográficos, em particular da elevação, e depois dos humanos, nos quais a distribuição étnica teve um papel relativamente importante; 2) foram obtidas as vinte e uma distribuições de agrupamento de TV, as quais foram classificadas em oito regiões de distribuição de TV com diferentes fatores de influência dominante. Estratégias de manejo e proteção foram formuladas com base na análise de atributos dos fatores influenciadores de cada região. Os resultados obtidos delinearam regiões homogêneas de distribuição de TV por meio do método de agrupamento para obter uma análise estatística precisa dos fatores de influência. Este estudo propõe uma nova perspectiva e referência para a gestão e proteção da diversidade, continuidade e integridade das TVs nas regiões administrativas.

Ecologically suitable areas for growing Scutellaria baicalensis worldwide: an analysis based on GMPGIS / 中国中药杂志

This paper explored the ecologically suitable areas for growing Scutellaria baicalensis using Geographic Information System for Global Medicinal Plants(GMPGIS), to figure out the resource distribution of S. baicalensis worldwide and provide a scientific basis for its scientific introduction. A total of 349 S. baicalensis sampling sites were selected all over the world for GMPGIS-based analy-sis of the ecologically suitable areas with six ecological factors including annual average temperature, average temperature during the coldest season, average temperature during the warmest season, average annual precipitation, average annual relative humidity, and annual average illumination and soil type as the ecological indexes. The results demonstrated that the ecologically suitable areas for growing S. baicalensis were mostly located in the Northern hemisphere, and the suitable areas in the United States, China, and Russia accounted for 19.25%, 18.66%, and 13.15% of the total area worldwide, respectively. In China, the Inner Mongolia, Heilongjiang province, and Yunnan province occupied the largest proportions of the total area, namely 14.28%, 8.72%, and 6.18%, respectively. As revealed by ecological factors of each sampling site, S. baicalensis was resistant to low temperature but not to high temperature. The adaptive range of average annual precipitation is narrower than that of average annual air humidity. The suitable soils were mainly inceptisol, alfisol, and fluvisol. High temperature and rainy climate or excessively high soil bulk density was not conducive to the growth of S. baicalensis. The adoption of GMPGIS enabled to obtain areas with the greatest ecological similarity for S. baicalensis, which were reliable data supporting the exploration of resource distribution and reasonable introduction of S. baicalensis.

Análisis espacial de las concentraciones de PM2,5 en Bogotá según los valores de las guías de la calidad del aire de la Organización Mundial de la Salud para enfermedades cardiopulmonares, 2014 - 2015 / Spatial analysis of PM2,5 concentrations in Bogotá according to the World Health Organization air quality guidelines for cardiopulmonary diseases, 2014 - 2015

Introducción. La Organización Mundial de la Salud señala que tres millones de muertes al año por enfermedades cardiopulmonares están relacionadas con la exposición a la contaminación del aire. Objetivo. Estimar las superficies de concentración de partículas en suspensión de menos de 2,5 pm (Particulate Matter, PM25) en Bogotá entre el 2014 y el 2015, clasificándolas según las guías de calidad del aire de la Organización Mundial de la Salud para enfermedades cardiopulmonares. Materiales y métodos. Se hizo un estudio ecológico mediante técnicas geoestadísticas. Se calcularon los promedios de PM25 en lapsos de seis horas a lo largo del día en cuatro franjas horarias. Las concentraciones se clasificaron según los valores diarios y anuales de las guías de calidad del aire de la OMS. Resultados. La localidad de Kennedy presentó las mayores concentraciones de PM25 en todas las franjas horarias. Los valores registrados en esta zona y clasificados según las guías diarias y anuales de calidad del aire, evidenciaron que la localidad presentaría un incremento de 1,2 % en la mortalidad cardiopulmonar en el corto plazo y de 9 % en el largo plazo. Conclusión. Las franjas horarias de las 0:00 a las 6:00 h y de las 12:00 a las 18:00 h, cumplieron con el valor anual de las guías de calidad del aire de 10 µg/m3 en una parte de la zona oriental de la ciudad. En el resto de la ciudad, en las franjas horarias de las 6:00 h a las 12:00 h y de las 18:00 h a las 24:00 h se registraron valores que cumplían los objetivos intermedios 2 y 3, lo que representa incrementos de 9 y 3 % en la mortalidad cardiopulmonar, respectivamente.

Introduction: The World Health Organization (WHO) points out that 3 million deaths per year caused by cardiopulmonary diseases are related to exposure to air pollution. Objective: To estimate areas of concentration of PM2.5 in Bogotá according to the WHO Air Quality Guidelines (AQG) for cardiopulmonary diseases during the period 2014-2015. Materials and methods: We conducted an ecological study with geostatistical techniques. We calculated the PM2.5 averages for six hour-periods distributed throughout the day in four time slots, which were classified according to daily and annual WHO AQG. Results: The locality of Kennedy presented the highest concentrations of PM25 in all time slots. The values registered in this area classified within the daily and annual AQG showed that the locality would present an increase of 1.2% and 9% in cardiopulmonary mortality in the short and long term, respectively. Conclusion: The time slots from 0:00 to 6:00 h y from 12:00 to 18:00 h met the annual AQG value of 10 µg/m3 in a part of the eastern zone of the city; in the rest of the city, in these same time slots, intermediate objectives 2 and 3 were met, which means increases by 9% and 3% in the cardiopulmonary mortality according to the AQG, respectively.

Spatial distribution of cutaneous anthrax in western Iran from 2009 to 2016: Geographic information system mapping for predicting risk of anthrax outbreaks

To explore the spatial accumulation of diseases and their aggravating factors are essential in all public health. This study attempts to use geographic information system (GIS) to provide more information about the incidence and future of anthrax. Methods: Patients were diagnosed with anthrax in Kurdistan Province from 2009 to 2016. Data was then exported into ArcGIS software version 9 and the required layers for years and areas were added.Final map for each year was drawn up, pointing out the hot spots and predicting its future pattern. Results: Most cases were reported in females (57 cases, 54.80 %), and the lower body limbs were most affected (63 cases, 60.57%). The highest numbers of incidences were related to the cities of Marivan, Saqez and Divandareh, with more concentration in the central parts of the province, rather than borderline areas. The highest percentage of the probable incidence of the disease was in Sanandaj (57.74%) with a potential susceptible area of 1 729.12 km

Congenital syphilis in the paraíba valley using a spatial approach / Sífilis congênita no vale do paraíba sob enfoque espacial

ABSTRACT Objective: To compare spatial patterns of congenital syphilis (CS) with those of socioeconomic and medical variables in Paraíba Valley, São Paulo, between 2012 and 2016. Methods: Ecological and exploratory study developed using spatial analysis tools, with information on CS cases obtained from official data reports. Rates were found for CS cases per 1,000 live births, number of family health teams and pediatricians available in the health system per 100,000 inhabitants, and social vulnerability index values. Thematic maps were constructed with these variables and compared using TerraView 4.2.2 software. Estimated global Moran (IM) indexes were calculated. In order to detect areas with priority attention regarding the incidence of CS, BoxMaps were developed. The Spearman correlation was estimated for the variable values and compared using the Kruskal-Wallis test. P <0.05 was significant. Results: 144,613 births and 870 CS cases (6.04/1000 live births) occurred during the study period. The average value of CS rates per municipality was 4.0±4.1, (0.0-17.6/1000 live births). Higher CS rates occurred in municipalities of the Upper Vale do Paraíba, contrary to the proportions of pediatricians who were in the far east of the region. The thematic maps of the variables presented a mosaic aspect, which characterized the random distribution of the variables. The IM were not significant. No significant correlation was found between the variables. The BoxMap identified eight municipalities with high CS rates. Conclusions: Even though it was not possible to identify a spatial pattern of CS rates, it was shown that eight municipalities deserve the attention of city managers.

RESUMO Objetivo: Comparar padrões espaciais da sífilis congênita (SC) com os de variáveis socioeconômicas e médicas no Vale do Paraíba paulista nos anos de 2012 a 2016. Métodos: Estudo ecológico e exploratório, utilizando ferramentas da análise espacial, com informações sobre casos de SC obtidas do Sistema de Informação de Agravos de Notificação (SINAN) e criadas taxas de casos de SC por 1.000 nascidos vivos (NV), de números de Equipes de Saúde da Família e de pediatras atendendo na rede por 100 mil habitantes e de valores do índice de vulnerabilidade social. Foram construídos mapas temáticos com essas taxas, para comparação entre elas, por meio do programa TerraView 4.2.2, e estimaram-se índices de Moran global (IM) para essas variáveis. Para detectar áreas com prioridade de atenção para a incidência de SC, foi construído Box Map. Estipulou-se a correlação de Spearman para os valores das variáveis, os quais foram comparados pelo teste de Kruskal-Wallis. Adotou-se erro alfa=5%. Resultados: Ocorreram 144.613 nascimentos no período e 870 casos de SC (6,04/1.000 NV); o valor médio das taxas por município foi de 4,0±4,1 (0,0-17,6/1.000 NV). Maiores taxas de SC ocorreram em municípios do Alto Vale do Paraíba, ao contrário das maiores proporções de pediatras, que se encontravam no extremo leste da região. Os mapas temáticos das variáveis apresentaram aspecto de mosaico, que caracteriza distribuição aleatória das variáveis, e os IM não foram significativos. Não houve correlação significativa entre as variáveis, e o Box Map identificou oito municípios que apresentavam altas taxas de SC. Conclusões: Não houve semelhanças entre os padrões espaciais das taxas de SC e demais variáveis, mas identificaram-se oito municípios que merecem atenção dos gestores municipais.

Distribución de la población vulnerable a la enfermedad COVID-19 en La Habana, Cuba

RESUMEN Introducción: La Habana, en su condición de capital de Cuba, muestra la mayor complejidad en el enfrentamiento a la epidemia por el virus SARS-CoV-2. Objetivo: Proporcionar un análisis de la distribución de la población vulnerable a la COVID-19 en la provincia La Habana. Métodos: Investigación estructurada en tres etapas, en las áreas de salud de los municipios de La Habana: 1. Estudio del grupo de población de 60 años y más que padece enfermedades crónicas (etapa A). 2. Análisis de factores que pudieran estar favoreciendo la transmisión del virus SARS-CoV-2 (etapa B). 3. Integración de las dos etapas anteriores y adición del análisis espacial de la enfermedad COVID-19 según la ubicación de los casos confirmados positivos entre el 12 de marzo-22 de junio de 2020 (etapa C). Resultados: Se presentan en cuatro mapas que se corresponden con las etapas del estudio. El primero aporta el grado de vulnerabilidad de la población de 60 años y más con enfermedades crónicas de mayor riesgo a la COVID-19; el segundo, ofrece el grado de vulnerabilidad a la transmisión del virus SARS CoV-2; el tercero, el grado de vulnerabilidad una vez integradas las etapas A y B y el cuarto mapa, presenta la ubicación por lugar de residencia de los pacientes confirmados con la COVID-19 en La Habana. Conclusiones: Estos resultados constituyen una herramienta eficaz para asistir a las autoridades en la toma de decisiones mediante un mejor conocimiento de la distribución de la población vulnerable a la COVID-19 en la provincia La Habana.

ABSTRACT Introduction: Being the capital city in Cuba, Havana displays the greatest complexity in the response to the SARS-CoV-2 epidemic. Objective: Provide an analysis of the distribution of the population vulnerable to COVID-19 in the province of Havana. Methods: A study was conducted of the health areas in the municipalities of Havana which was structured into three stages: 1. Study of the population group aged 60 years and over with chronic diseases (Stage A). 2. Analysis of the factors which might be facilitating transmission of the SARS-CoV-2 virus (Stage B). 3. Integration of the two previous stages and addition of a spatial analysis of COVID-19 based on the location of positive cases confirmed from 12 March to 22 June 2020 (Stage C). Results: The data collected is presented in four maps corresponding to the stages of the study. The first map presents the degree of vulnerability of the population aged 60 and over with chronic diseases of highest risk for COVID-19; the second the degree of vulnerability to SARS-CoV-2 virus transmission; the third the degree of vulnerability upon integration of Stages A and B; and the fourth the location by place of residence of the patients confirmed with COVID-19 in Havana. Conclusions: These results constitute an effective tool to assist authorities in decision making by providing broader knowledge about the distribution of the population vulnerable to COVID-19 in the province of Havana.

Geographic Information System as an aid instrument for public policies and management of sports facilities and programs

Abstract Aims: This paper sought to evaluate the infrastructure of public swimming pools in a countryside municipality of the state of São Paulo and to present the Geographic Information System (GIS) as a tool capable of assisting in the management of sports facilities and programs. Methods: This is a descriptive study since it intends to expose the characteristics of a certain context. First, documentary research was performed to map the facilities and their respective projects. After that, a field survey was conducted seeking to evaluate the infrastructure of public pools and their surroundings through observation. Lastly, using georeferencing software, the population, and socioeconomic data around these pools were obtained and analyzed. Results: It was identified ten public swimming pools, and in seven the offer of swimming projects was foreseen. The infrastructure of the pools is mainly unsatisfactory, making necessary the improvement of the installation itself and in its surroundings. According to the results of the GIS, each pool has its specific public target concerning the characteristics of the profile of the residents surrounding these facilities. Conclusion: Information regarding the public profile around sports facilities generated from a tool such as GIS showed it is possible to determine which sports projects should be prioritized in each facility, leading to improvement in the management of sports-related public policies.

Analysis of epidemic characteristics and spatial clustering of pulmonary tuberculosis in Wuhan , 2011-2018 / 公共卫生与预防医学

Objective To explore the epidemic characteristics and spatial clustering of pulmonary tuberculosis in Wuhan from 2011 to 2019, and to provide a scientific basis for formulating intervention strategies and measures. Methods Descriptive statistical analysis was conducted on the epidemic characteristics of tuberculosis data in Wuhan registered in the national tuberculosis information management system in the last 9 years, and spatial autocorrelation analysis was performed on the incidence of tuberculosis in 155 communities or in the city using Arcgis10.5 software. Results From 2011 to 2019, there were 56,432 cases of tuberculosis reported in Wuhan, and the annual average reported incidence rate of tuberculosis was 59.24/100 000. The overall incidence rate showed a fluctuating downward trend, with an average annual decline rate of 1.99%. The ratio of the number of cases between men and women was 2.35:1, and the incidence rate in males was higher than that in females (χ2=285.36，P0,P<0.001), and the high-high aggregation areas of tuberculosis were mainly distributed in Erqi community, Baibuting community, Liujiaoting community, Yijiadun community, Heping Street, Changqian Street, Tonghu farm, Yuxian Town, Zhifang Town, Wulijie Town, Fenghuang Street, Liji Street, and Daoguanhe Street. Conclusion The overall epidemic situation of pulmonary tuberculosis in Wuhan showed a slow downward trend. The main population and the clustering time of cases were relatively fixed, and the overall epidemic showed a certain spatial clustering. Active screening should be carried out for high-risk populations and high-aggregation areas, and effective prevention and control strategies should be developed based on time and location classification.