scholarly journals Analysis of the spatial distribution of dengue cases in the city of Rio de Janeiro, 2011 and 2012

2017 ◽  
Vol 51 ◽  
Author(s):  
Silvia Carvalho ◽  
Mônica De Avelar Figueiredo Mafra Magalhães ◽  
Roberto De Andrade Medronho
Keyword(s):  
Information System ◽  
Spatial Distribution ◽  
Rio De Janeiro ◽  
Influencing Factor ◽  
Kernel Density ◽  
Severe Dengue ◽  
Automatic Process ◽  
Density Estimator ◽  
Macroeconomic Policies ◽  
The City

OBJECTIVE Analyze the spatial distribution of classical dengue and severe dengue cases in the city of Rio de Janeiro. METHODS Exploratory study, considering cases of classical dengue and severe dengue with laboratory confirmation of the infection in the city of Rio de Janeiro during the years 2011/2012. The georeferencing technique was applied for the cases notified in the Notification Increase Information System in the period of 2011 and 2012. For this process, the fields “street” and “number” were used. The ArcGis10 program’s Geocoding tool’s automatic process was performed. The spatial analysis was done through the kernel density estimator. RESULTS Kernel density pointed out hotspots for classic dengue that did not coincide geographically with severe dengue and were in or near favelas. The kernel ratio did not show a notable change in the spatial distribution pattern observed in the kernel density analysis. The georeferencing process showed a loss of 41% of classic dengue registries and 17% of severe dengue registries due to the address in the Notification Increase Information System form. CONCLUSIONS The hotspots near the favelas suggest that the social vulnerability of these localities can be an influencing factor for the occurrence of this aggravation since there is a deficiency of the supply and access to essential goods and services for the population. To reduce this vulnerability, interventions must be related to macroeconomic policies.

scholarly journals SPATIALIZATION OF OCCURRENCES ON THE DEPARTMENT OF ENVIRONMENTAL PROTECTION POLICE (COPPA), THROUGH THE USE OF GEOTECHNOLOGIES

2016 ◽  
Vol 5 (1) ◽  
Author(s):  
Rosana Maria Santos Sant'Ana ◽  
Silvana Sá de Carvalho ◽  
Arnaldo Bispo de Jesus
Keyword(s):  
Information System ◽  
Spatial Distribution ◽  
Geographical Information System ◽  
Social Insects ◽  
Geographic Location ◽  
Kernel Density ◽  
Web Gis ◽  
Geographical Information ◽  
Metropolitan Region ◽  
Density Estimator

The purpose of this article is to show the spatial distribution of occurrences registered in Environmental Police Company in Salvador and more 12 cities of its Metropolitan Region in the year 2012, using Geotechnologies. Initially, data was collected and inserted into a Geographical Information System-WEB (GIS-WEB). These records contained a nearly geographic location of the occurrence. Thus it was possible to specalize them and systemaize them using an specific geoprocesing software – the ArcGIS. Lately the Kernel density Estimator was apllied to data to become possible visualizing the spots of higher concentration of point. Then it was possible to idenify and analyze areas with larger rates of requests upon social insects, sylvan animals and even environmental crimes denounces. It is expected that the resulting maps can give a support on the planning of actions to this company.

scholarly journals Is Pregnancy Associated with Severe Dengue? A Review of Data from the Rio de Janeiro Surveillance Information System

2013 ◽  
Vol 7 (5) ◽  
pp. e2217 ◽  
Author(s):  
Carolina Romero Machado ◽  
Elizabeth Stankiewicz Machado ◽  
Roger Denis Rohloff ◽  
Marina Azevedo ◽  
Dayse Pereira Campos ◽  
...  
Keyword(s):  
Information System ◽  
Rio De Janeiro ◽  
Severe Dengue

scholarly journals Heterogeneity of Spatial Distribution and Factors Influencing Unattended Locker Points in Guangzhou, China: The Case of Hive Box

2021 ◽  
Vol 10 (6) ◽  
pp. 409
Author(s):  
Song Liu ◽  
Ying Liu ◽  
Rongrong Zhang ◽  
Yongwang Cao ◽  
Ming Li ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Kernel Density ◽  
Global Perspective ◽  
Low Carbon ◽  
City Center ◽  
Geographic Variations ◽  
Community Based ◽  
Factors Influencing ◽  
End To End ◽  
The City

Hive Box is a company that operates a network of express unattended collection and delivery points (UCDPs) in China. Hive Box distribution enhances community-based end-to-end delivery services and low-carbon city logistics. It is argued that UCDPs compared with attended collection and delivery points (ACDPs) should be considered for further investigation. Therefore, the present study employed kernel density estimation, spatial autocorrelation analysis, and geographically weighted regression to investigate the spatial heterogeneity of Hive Box distribution across Guangzhou. Hive Box location data were collected from smartphone apps. The results were as follows: (1) the kernel density declined from the city center toward the outskirts, and showed point-like spatial agglomerations in the city center; (2) the Moran’s I index analysis showed that Hive Box distribution exhibited spatial agglomeration from a global perspective and geographic variations in locality in space; the heterogeneity of urban–rural differences implies the uneven development of Hive Box distribution in Guangzhou; and (3) the factors influencing Hive Box distribution were multilevel, and their effects were complex and varied across regions. These results shed light on the agglomeration and heterogeneity characteristics of the spatial distribution and influencing factors of Hive Boxes. For an enhanced community-based end-to-end delivery service, this study suggested the identification of the geographic variations of Hive Box distribution and the combined effects of multiple factors in intensifying the infrastructure of unattended locker points.

scholarly journals Visualização de dados sobre os parques públicos cariocas | Data Visualization on public parks in Rio de Janeiro

2017 ◽  
Vol 14 (2) ◽  
pp. 263-272
Author(s):  
Victória Diniz Sacagami ◽  
Larissa E. Siveira ◽  
Lucia M. Costa ◽  
Julie A. Pires
Keyword(s):  
Spatial Distribution ◽  
Social Relationships ◽  
Data Visualization ◽  
Rio De Janeiro ◽  
Landscape Architecture ◽  
Public Parks ◽  
Interdisciplinary Work ◽  
The City ◽  
Park Location ◽  
Graphic Solution

Este artigo tem como objetivo apresentar o desenvolvimento de uma visualização de dados acerca de uma pesquisa sobre a distribuição espacial dos parques públicos da cidade do Rio de Janeiro. Trata-se de um trabalho interdisciplinar, na interface entre Comunicação Visual,Urbanismo e Paisagismo. A partir da visualização de dados, o trabalho visa a criação de uma solução gráfica capaz de revelar espacialidades, inter-relações e dinâmicas socio ambientais, levantando discussões acerca dos principais aspectos que influenciam na localização dos parques na cidade.+++++This paper aims to present the development of a data visualization about a research on the spatial distribution of public parks in the city of Rio de Janeiro. It is an interdisciplinary work in the interface between Visual Communication, Urbanism and Landscape Architecture. Based on data visualization, the work aims to create a graphic solution able of revealing spatialities, social relationships and dynamics, raising discussions about the main aspects that influence park location within the city.

scholarly journals Association Between Socio-Environmental Factors, Coverage by Family Health Teams, and Rainfall in the Spatial Distribution of Zika Virus Infection in the City of Rio de Janeiro, Brazil, in 2015 and 2016

2021 ◽  
Author(s):  
Carlos Eduardo Raymundo ◽  
Roberto de Andrade Medronho
Keyword(s):  
Spatial Distribution ◽  
Environmental Factors ◽  
Zika Virus ◽  
Rio De Janeiro ◽  
Family Health ◽  
Incidence Rates ◽  
Spatial Error ◽  
Environmental Diversity ◽  
Census Tracts ◽  
The City

Abstract Background: Zika virus (ZIKV) infection caused outbreak in Brazil, in 2015 and 2016. Disorganized urban growth, facilitates the concentration of numerous susceptible and infected individuals. It is useful to understand the mechanisms that can favor the increase in ZIKV incidence, such as areas with wide socioeconomic and environmental diversity. Therefore, the study analyzed the spatial distribution of ZIKV in the city of Rio de Janeiro, Brazil, in 2015 and 2016, and associations between the incidence per 1,000 inhabitants and socio-environmental factors. Methods: The census tracts were used as the analytical units reported ZIKV cases among the city’s inhabitants. Local Empirical Bayesian method was used to control the incidence rates’ instability effect. The spatial autocorrelation was verified with Moran’s Index and local indicators of spatial association (LISA). Spearman correlation matrix was used to indicate possible collinearity. The Ordinary Least Squares (OLS), Spatial Lag Model (SAR), and Spatial Error Model (CAR) were used to analyze the relationship between ZIKV and socio-environmental factors.Results: The SAR model exhibited the best parameters: R2 = 0.44, Log-likelihood= -7482, Akaike Information Criterion (AIC) = 14980. In this model, mean income between 1 and 2 minimum wages was possible risk factors for Zika occurrence in the localities. Household conditions related to adequate water supply and the existence of public sewage disposal were associated with lower ZIKV incidence rates, suggesting possible protective factors against the occurrence of ZIKV in the localities. The presence of the Family Health Strategy in the census tracts was positively associated with the ZIKV incidence rate. However, the results show that mean income less than 1 minimum wage were negatively associated with higher ZIKV incidence rates. Discussion: The results demonstrate the importance of socio-environmental variables in the dynamics of ZIKV transmission and the relevance for the development of control strategies.

scholarly journals Association between socio-environmental factors, coverage by family health teams, and rainfall in the spatial distribution of Zika virus infection in the city of Rio de Janeiro, Brazil, in 2015 and 2016

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Carlos Eduardo Raymundo ◽  
Roberto de Andrade Medronho
Keyword(s):  
Spatial Distribution ◽  
Environmental Factors ◽  
Zika Virus ◽  
Cumulative Incidence ◽  
Rio De Janeiro ◽  
Family Health ◽  
Spatial Error ◽  
Environmental Diversity ◽  
Census Tracts ◽  
The City

Abstract Background Zika virus (ZIKV) infection caused outbreak in Brazil, in 2015 and 2016. Disorganized urban growth, facilitates the concentration of numerous susceptible and infected individuals. It is useful to understand the mechanisms that can favor the increase in ZIKV incidence, such as areas with wide socioeconomic and environmental diversity. Therefore, the study analyzed the spatial distribution of ZIKV in the city of Rio de Janeiro, Brazil, in 2015 and 2016, and associations between the incidence per 1000 inhabitants and socio-environmental factors. Methods The census tracts were used as the analytical units reported ZIKV cases among the city’s inhabitants. Local Empirical Bayesian method was used to control the incidence rates’ instability effect. The spatial autocorrelation was verified with Moran’s Index and local indicators of spatial association (LISA). Spearman correlation matrix was used to indicate possible collinearity. The Ordinary Least Squares (OLS), Spatial Lag Model (SAR), and Spatial Error Model (CAR) were used to analyze the relationship between ZIKV and socio-environmental factors. Results The SAR model exhibited the best parameters: R2 = 0.44, Log-likelihood = − 7482, Akaike Information Criterion (AIC) = 14,980. In this model, mean income between 1 and 2 minimum wages was possible risk factors for Zika occurrence in the localities. Household conditions related to adequate water supply and the existence of public sewage disposal were associated with lower ZIKV cumulative incidence, suggesting possible protective factors against the occurrence of ZIKV in the localities. The presence of the Family Health Strategy in the census tracts was positively associated with the ZIKV cumulative incidence. However, the results show that mean income less than 1 minimum wage were negatively associated with higher ZIKV cumulative incidence. Conclusion The results demonstrate the importance of socio-environmental variables in the dynamics of ZIKV transmission and the relevance for the development of control strategies.

scholarly journals Monitoring and spatial distribution of heterotrophic bacteria and fecal coliforms in the Rodrigo de Freitas Lagoon, Rio de Janeiro, Brazil

2001 ◽  
Vol 44 (1) ◽  
pp. 07-13 ◽  
Author(s):  
Márcia T. S. Lutterbach ◽  
Joselito Cabral Vazquez ◽  
Jorge A. Pinet ◽  
José V. Andreata ◽  
Alexandre Carlos da Silva
Keyword(s):  
Spatial Distribution ◽  
Water Samples ◽  
Rio De Janeiro ◽  
Heterotrophic Bacteria ◽  
Fecal Coliforms ◽  
Percentage Increase ◽  
The City ◽  
Over Time

The distribution of heterothrophic bacteria and fecal coliforms was monitored at four sampling stations located near the shore of the Rodrigo de Freitas Lagoon, in the city of Rio de Janeiro, Brazil. Water samples were collected, monthly from October 1994 through September 1998. The highest heterothrophic count (6.5x10 7 CFU/100mL) was recorded at stations 2 and 4 during August 1998 and the lowest (10 ³ CFU/100 mL) at station 3 during February 1995. With respect to fecal coliforms, the highest and lowest counts were 1.6x10 5 coliforms/100mL at station 3 during March 1997 and <1 coliform/100mL at all the stations during February 1995 and September 1997 as well as station 3 during February 1998. The data indicated a percentage increase of the microorganisms surveyed over time at all the sampling stations studied.

scholarly journals Spatial analysis of melioidosis distribution in a suburban area

2010 ◽  
Vol 138 (9) ◽  
pp. 1346-1352 ◽  
Author(s):  
M. L. CORKERON ◽  
R. NORTON ◽  
P. N. NELSON
Keyword(s):  
Information System ◽  
Spatial Distribution ◽  
Geographic Information System ◽  
Spatial Analysis ◽  
Burkholderia Pseudomallei ◽  
The Other ◽  
Landscape Position ◽  
City Centre ◽  
Intense Rainfall ◽  
The City

SUMMARYBurkholderia pseudomallei, the causative agent of melioidosis is associated with soil. This study used a geographic information system (GIS) to determine the spatial distribution of clinical cases of melioidosis in the endemic suburban region of Townsville in Australia. A total of 65 cases over the period 1996–2008 were plotted using residential address. Two distinct groupings were found. One was around the base of a hill in the city centre and the other followed the old course of a major waterway in the region. Both groups (accounting for 43 of the 65 cases examined) are in areas expected to have particularly wet topsoils following intense rainfall, due to soil type or landscape position.

scholarly journals Elderly readmission and death after discharge from treatment of hip fracture, occurred in public hospitals from 2008 to 2010, Rio de Janeiro

2015 ◽  
Vol 18 (2) ◽  
pp. 439-453 ◽  
Author(s):  
Fátima de Lima Paula ◽  
Geraldo Marcelo da Cunha ◽  
Iúri da Costa Leite ◽  
Rejane Sobrino Pinheiro ◽  
Joaquim Gonçalves Valente
Keyword(s):  
Information System ◽  
Hip Fracture ◽  
Rio De Janeiro ◽  
Elderly Population ◽  
The Elderly ◽  
Public Hospitals ◽  
The Public ◽  
Risk Of Death ◽  
Circulatory System Diseases ◽  
The City

OBJECTIVES: To estimate the risk of death and readmission of a cohort of elderly patients discharged after hip fracture treatment from hospitals of the public health system; to describe the causes of these events; and to compare the rates of readmission and death observed with those of the elderly population hospitalized in public hospitals of Rio de Janeiro city. METHODS: Data on deaths and readmissions were obtained through the linkage of these two data sources: the Hospital Information System of the Sistema Único de Saúde and the Mortality Information System from the city of Rio de Janeiro. The time frame for the study was 2008 to 2011. The population consisted of 2,612 individuals aged 60 years or older with nonelective hospitalization for hip fracture who were followed for a year after discharge. RESULTS: The readmission rate in one year, excluding the deaths in this period, was 17.8%, and the death rate was 18.6%. The most common causes of death were circulatory system diseases (29.5%). Approximately 15% of the causes of readmissions were surgical complications. The state hospitals showed lower readmission risks and higher death risks compared with the federal and municipal hospitals. It was observed that there is an excess risk of readmission and hospitalization of the study population compared with the elderly population hospitalized in the public hospitals of the city. CONCLUSION: Hospitalization of elderly individuals for hip fracture causes adverse outcomes such as readmissions and deaths. Many of these outcomes can be prevented from actions recommended in the National Policy for the Elderly Health.

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