scholarly journals Distribution and spatial autocorrelation of the hospitalizations for cardiovascular diseases in adults in Brazil

2020 ◽  
Vol 41 ◽  
Author(s):  
Fernanda Sabini Faix Figueiredo ◽  
Thamires Fernandes Cardoso da Silva Rodrigues ◽  
Anderson da Silva Rêgo ◽  
Luciano de Andrade ◽  
Rosana Rosseto de Oliveira ◽  
...  
Keyword(s):  
Cardiovascular Diseases ◽  
Spatial Autocorrelation ◽  
Ecological Study ◽  
Strongly Correlated ◽  
Mato Grosso ◽  
Hospitalization Rates ◽  
Health Factors ◽  
Global And Local ◽  
Spearman’S Correlation ◽  
Diagnosis Of Hypertension

ABSTRACT Objectives: To analyze the distribution and spatial autocorrelation of the hospitalization rates for cardiovascular diseases in adults, and to verify the correlation with socioeconomic and health factors in Brazil. Methods: An ecological study of hospitalization rates for cardiovascular diseases in adults from 2005 to 2016. Spatial dependence was analyzed by the Moran Global and Local autocorrelation coefficients. The correlation between hospitalization rates and socioeconomic and health variables was calculated using the Spearman’s correlation coefficient. Results: The highest hospitalization rates were observed in the states of Santa Catarina, Paraná, São Paulo, and Mato Grosso, with high-high autocorrelation clusters for ischemic heart disease. The hospitalizations for cardiovascular diseases were strongly correlated with low schooling, alcohol consumption, and diagnosis of hypertension. Conclusion: The high rates of hospitalization in the states mentioned, linked to socioeconomic and health factors, suggest public policies focused on the theme.

scholarly journals Spatial analysis of AIDS in the state of Maranhão: an ecological study 2011-2018

2022 ◽  
Vol 75 (1) ◽  
Author(s):  
Livia Cristina Sousa ◽  
Tereza Cristina Silva ◽  
Thaís Furtado Ferreira ◽  
Arlene de Jesus Mendes Caldas
Keyword(s):  
Information System ◽  
Spatial Analysis ◽  
High Risk ◽  
Spatial Autocorrelation ◽  
Ecological Study ◽  
Health Management ◽  
Temporal Distribution ◽  
Risk Areas ◽  
Spatio Temporal ◽  
Global And Local

ABSTRACT Objective: Analyze the spatio-temporal distribution of AIDS cases in Maranhão. Methods: Ecological study of AIDS cases in the Notifiable Diseases Information System, 2011-2018. Gross and adjusted incidences were calculated using the Baysean method; then, the Moran Global and Local Indices to observe the existence of spatial autocorrelation of the cases and for the delimitation of high and low risk clusters. Results: 6,349 cases were reported, which were distributed heterogeneously. There was an advance of cases to new areas and persistence in old areas, such as in the capital São Luís and its surroundings. The dissemination did not occur at random, with positive spatial autocorrelation, with evidence of the formation of clusters in the municipalities of São Luís, São José de Ribamar and Paço do Lumiar. Conclusion: High-risk areas have been identified and should be considered a priority for investment in health, management, and organization of health services.

scholarly journals Biomass burning and cardiovascular diseases in Mato Grosso State: a spatial approach

2019 ◽  
Vol 14 (7) ◽  
pp. 1
Author(s):  
Antônio Carlos Pereira dos Santos Junior ◽  
Luiz Fernando Costa Nascimento ◽  
Ana Aparecida da Silva Almeida ◽  
Marcelo Dos Santos Targa
Keyword(s):  
Spatial Distribution ◽  
Cardiovascular Diseases ◽  
Environmental Factors ◽  
Exploratory Study ◽  
The State ◽  
Mato Grosso ◽  
Global Indices ◽  
The North ◽  
Hospitalization Rates ◽  
Spatial Approach

 Environmental factors have influenced human health leading to illness due to cardiovascular diseases. This ecological and exploratory study analyzes the spatial distribution of burn outbreaks and rates of hospitalizations due to cardiovascular diseases in the municipalities of the State of Mato Grosso between the years of 2012 and 2015. Thematic and kernel maps were created for the outbreaks of fires and for hospitalizations for the years 2012 to 2015. Moran Global indices, were calculated for these variables. During the study period, 758023 outbreaks of fires and 57269 hospitalizations were identified; Moran index were significant for burn outbreaks, but for hospitalization rates, except for 2012, there was no significant spatial autocorrelation. Thematic and kernel maps show higher occurrences of fires in the north of the state, in the so-called arch of deforestation, and higher hospitalization rates in the southern region of the state, possibly due to the action of winds, displacing pollutants generated by the fires to the south of the state.

scholarly journals Hyperendemicity, heterogeneity and spatial overlap of leprosy and cutaneous leishmaniasis in the southern Amazon region of Brazil

2020 ◽  
Vol 15 (2) ◽  
Author(s):  
Amanda Gabriela De Carvalho ◽  
João Gabriel Guimarães Luz ◽  
João Victor Leite Dias ◽  
Anuj Tiwari ◽  
Peter Steinmann ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Spatial Autocorrelation ◽  
Cutaneous Leishmaniasis ◽  
Urban Areas ◽  
Neglected Tropical Diseases ◽  
Scan Statistics ◽  
Moran’S I ◽  
Moran's I ◽  
Mato Grosso ◽  
Global And Local

Neglected tropical diseases characterized by skin lesions are highly endemic in the state of Mato Grosso, Brazil. We analyzed the spatial distribution of leprosy and Cutaneous Leishmaniasis (CL) and identified the degree of overlap in their distribution. All new cases of leprosy and CL reported between 2008 and 2017 through the national reporting system were included in the study. Scan statistics together with univariate Global and Local Moran’s I were employed to identify clusters and spatial autocorrelation for each disease, with the spatial correlation between leprosy and CL measured by bivariate Global and Local Moran’s I. Finally, we evaluated the demographic characteristics of the patients. The number of leprosy (N = 28,204) and CL (N = 24,771) cases in Mato Grosso and the highly smoothed detection coefficients indicated hyperendemicity and spatial distribution heterogeneity. Scan statistics demonstrated overlap of high-risk clusters for leprosy (RR = 2.0; p <0.001) and CL (RR = 4.0; p <0.001) in the North and Northeast mesoregions. Global Moran’s I revealed a spatial autocorrelation for leprosy (0.228; p = 0.001) and CL (0.311; p = 0.001) and a correlation between them (0.164; p = 0.001). Both diseases were found to be concentrated in urban areas among men aged 31-60 years, of brown-skinned ethnicity and with a low educational level. Our findings indicate a need for developing integrated and spatially as well as socio-demographically targeted public health policies.

scholarly journals Socioeconomic factors and risk for hospitalisation due to asthma in children in the municipalities of Mato Grosso State, Brazil

2018 ◽  
Vol 23 (8) ◽  
pp. 2523-2532
Author(s):  
Elaine Cardoso de Oliveira Souza ◽  
Emerson Soares dos Santos ◽  
Antonia Maria Rosa ◽  
Clóvis Botelho
Keyword(s):  
Ecological Study ◽  
Linear Models ◽  
Hospital Admissions ◽  
Hospital Data ◽  
Mato Grosso ◽  
Socioeconomic Characteristics ◽  
Hospitalization Rates ◽  
Increased Risk ◽  
Children With Asthma ◽  
Bayesian Inference Method

Abstract This ecological study used data accumulated between 2001 and 2012 hospital admissions of children under five years of age with asthma in 141 municipalities in the Mato Grosso. Hospital data were extracted from the SIH/SUS system, and hospitalisation rates were estimated using the Bayesian inference method. SaTScan software was used for the calculation of the relative risk (RR). Differences in socioeconomic characteristics among municipalities with high and low hospitalization rates were evaluated by nonparametric Wilcoxon-Mann-Whitney test. This test indicates that municipalities with better socioeconomic characteristics have lower hospitalization rates. The analysis of the linear models in the two study periods indicated that the decreasing trend in the number of admissions was 3-fold higher in the 2005-2012 period compared with the 2001-2004 period. In addition, a decrease of 76% in the hospitalisation incidence rate was observed during the 12-year study period; this decrease was more evident from 2005 onward. The municipalities identified as having increased risk of hospitalisation of children with asthma were located in areas subjected to intense burning practices and with low municipal development indices.

scholarly journals Hospitalizations for cardiovascular diseases and the coverage by the family health strategy

2015 ◽  
Vol 23 (4) ◽  
pp. 611-619 ◽  
Author(s):  
Maicon Henrique Lentsck ◽  
Thais Aidar de Freitas Mathias
Keyword(s):  
Primary Care ◽  
Cardiovascular Diseases ◽  
Family Health ◽  
The State ◽  
Regional Health ◽  
Unified Health System ◽  
Health Strategy ◽  
The Family ◽  
Family Health Strategy ◽  
Spearman’S Correlation

AbstractObjective: to verify the correlation between the rates of hospitalization for primary care-sensitive cardiovascular diseases and the coverage by the Family Health Strategy of residents of the State of Paraná, by regional health divisions, from 2000 to 2011.Method: ecological study developed from data of the Hospital Information System of the Brazilian Unified Health System (SUS) and the Department of Primary Care of the Ministry of Health. The rates of hospitalization for cardiovascular diseases were correlated with the annual coverage by the Family Health Strategy using Pearson's and Spearman's correlation coefficients.Result: there was a strong and negative correlation in the State of Paraná (r=-0.91; p <0.001) and in most regional health divisions, with the highest correlations observed in the Metropolitan and Toledo (r =-0.93; p<0.001) and Paranaguá (r=-0.92, p<0.001) regional health divisions.Conclusion: the results suggest that the increase in the coverage by the Family Health Strategy was an important factor for decrease in the hospitalizations for cardiovascular conditions among residents of the State of Paraná and in most regional health divisions. Other studies should be performed to analyze the factors and causes in regional health divisions where there was no correlation with increase in the Family Health Strategy.

scholarly journals Socioeconomic development and agricultural intensification in Mato Grosso

2013 ◽  
Vol 368 (1619) ◽  
pp. 20120168 ◽  
Author(s):  
Leah K. VanWey ◽  
Stephanie Spera ◽  
Rebecca de Sa ◽  
Dan Mahr ◽  
John F. Mustard
Keyword(s):  
Agricultural Production ◽  
Agricultural Intensification ◽  
Socioeconomic Development ◽  
Commodity Markets ◽  
Strongly Correlated ◽  
Mato Grosso ◽  
Multiple Indicators ◽  
Double Cropping ◽  
The Relationship ◽  
Investments In Education

The Brazilian agro-industrial frontier in Mato Grosso rapidly expanded in total area of mechanized production and in total value of production in the last decade. This article shows the spatial pattern of that expansion from 2000 to 2010, based on novel analyses of satellite imagery. It then explores quantitatively and qualitatively the antecedents and correlates of intensification, the expansion of the area under two crops per year. Double cropping is most likely in areas with access to transportation networks, previous profitable agricultural production, and strong existing ties to national and international commodity markets. The article concludes with an exploration of the relationship between double cropping and socioeconomic development, showing that double cropping is strongly correlated with incomes of all residents of a community and with investments in education. We conclude that double cropping in Mato Grosso is very closely tied to multiple indicators of socioeconomic development.

scholarly journals Hemodialysis services: are public policies turned to guaranteeing the access?

2015 ◽  
Vol 31 (7) ◽  
pp. 1505-1516 ◽  
Author(s):  
Ana Rita Barbieri ◽  
Crhistinne Cavalheiro Maymone Gonçalves ◽  
Maria de Fátima Meinberg Cheade ◽  
Cristina Souza ◽  
Daniel Henrique Tsuha ◽  
...  
Keyword(s):  
Medical Records ◽  
Health Informatics ◽  
Ecological Study ◽  
Public Policies ◽  
National Average ◽  
Mato Grosso ◽  
Number Of Patients ◽  
Using Data ◽  
Mato Grosso Do Sul

The increasing incidence of chronic renal failure in Brazil and the consequential expansion of hemodialysis as a choice for treatment in final stage have to be taken into account to guarantee access to those in need. The ecological study conducted in Mato Grosso do Sul State, Brazil, in 2012, using data from the Brazilian Health Informatics Department (DATASUS) and from the analysis of medical records in 12 clinics, identified and mapped patients on hemodialysis, the distance they travelled and the estimated number of patients. The prevalence of hemodialysis patients in Mato Grosso do Sul State, about 55 per 100,000 inhabitants, is similar to the national average. The analyses indicated concentration of patients in counties with clinics and also geographical gaps that generate displacement of over 100km for more than 16% of patients. The results point to the necessity of strengthening public policies that consider, for decision-making, the decentralization of service, the expansion of home care and the follow-up education for professionals.

scholarly journals Mortality and hospitalization for liver disease in the Western Amazon from 2008 to 2017

2021 ◽  
Vol 31 (1) ◽  
pp. 116-124
Author(s):  
Alex Nunes Callado ◽  
Italla Maria Pinheiro Bezerra ◽  
Fernando Adami ◽  
Luiz Vinícius de Alcantara Sousa ◽  
Luiz Carlos de Abreu
Keyword(s):  
Liver Diseases ◽  
Alcohol Intake ◽  
Ecological Study ◽  
Hospital Admissions ◽  
Secondary Data ◽  
Mortality Rates ◽  
Hospitalization Rates ◽  
Series Design ◽  
Study Results ◽  
Male Patients

Introduction: As liver diseases (LDs) occur as liver damage takes place, their causes are variable and mostly caused by viruses and alcohol intake. The cases of LDs have increased significantly; they are also charged with mortality rates and hospitalizations. Objective: to analyze mortality and hospitalizations due to LDs in the Western Amazon. Methods: Ecological study with time series design using secondary data related to deaths and hospital admissions for LDs in the Western Amazon. Results: The number of cases of mortality due to male diseases is higher in men, considering the period from 2008 to 2017. The study results also show that the affected patients are mostly over 50 and under 20 years old, who are the least likely to die. Regarding hospitalization rates, male patients have the highest number of hospitalizations and are not different from mortality; patients over the age of 50 also represent the largest hospitalization cases. Conclusion: There is a tendency towards stability in cases of mortality and hospitalization due to liver diseases in the Western Amazonia.

Computationally Light vs. Computationally Heavy Centrality Metrics

2018 ◽  
pp. 34-65
Keyword(s):  
Betweenness Centrality ◽  
Clustering Coefficient ◽  
Degree Centrality ◽  
Strongly Correlated ◽  
Eigenvector Centrality ◽  
Correlation Measure ◽  
Centrality Metrics ◽  
Two Measures ◽  
Local Clustering Coefficient ◽  
Spearman’S Correlation

In this chapter, the authors analyze the correlation between the computationally light degree centrality (DEG) and local clustering coefficient complement-based degree centrality (LCC'DC) metrics vs. the computationally heavy betweenness centrality (BWC), eigenvector centrality (EVC), and closeness centrality (CLC) metrics. Likewise, they also analyze the correlation between the computationally light complement of neighborhood overlap (NOVER') and the computationally heavy edge betweenness centrality (EBWC) metric. The authors analyze the correlations at three different levels: pair-wise (Kendall's correlation measure), network-wide (Spearman's correlation measure), and linear regression-based prediction (Pearson's correlation measure). With regards to the node centrality metrics, they observe LCC'DC-BWC to be the most strongly correlated at all the three levels of correlation. For the edge centrality metrics, the authors observe EBWC-NOVER' to be strongly correlated with respect to the Spearman's correlation measure, but not with respect to the other two measures.

scholarly journals How to measure hospital antibiotic consumption: comparison of two methods from data surveillance in France

2020 ◽  
Vol 2 (3) ◽  
Author(s):  
Florence Stordeur ◽  
Katiuska Miliani ◽  
Ludivine Lacavé ◽  
Anne-Marie Rogues ◽  
Catherine Dumartin ◽  
...  
Keyword(s):  
Antibiotic Use ◽  
Antibiotic Consumption ◽  
Strongly Correlated ◽  
Surveillance Network ◽  
Healthcare Facilities ◽  
Clinical Ward ◽  
Hospital Antibiotic Consumption ◽  
Data Surveillance ◽  
National Databases ◽  
Spearman’S Correlation

Abstract Background Antibiotic use (ABU) surveillance in healthcare facilities (HCFs) is essential to guide stewardship. Two methods are recommended: antibiotic consumption (ABC), expressed as the number of DDD/1000 patient-days; and prevalence of antibiotic prescription (ABP) measured through point prevalence surveys. However, no evidence is provided about whether they lead to similar conclusions. Objectives To compare ABC and ABP regarding HCF ranking and their ability to identify outliers. Methods The comparison was made using 2012 national databases from the antibiotic surveillance network and prevalence study. HCF rankings according to each method were compared with Spearman’s correlation coefficient. Analyses included the ABU from entire HCFs as well as according to type, clinical ward and by antibiotic class and specific molecule. Results A total of 1076 HCFs were included. HCF rankings were strongly correlated in the whole cohort. The correlation was stronger for HCFs with a higher number of beds or with a low or moderate proportion of acute care beds. ABU correlation between ABC or ABP was globally moderate or weak in specific wards. Furthermore, the two methods did not identify the same outliers, whichever HCF characteristics were analysed. Correlation between HCF ranking varied according to the antibiotic class. Conclusions Both methods ranked HCFs similarly overall according to ABC or ABP; however, major differences were observed in ranking of clinical wards, antibiotic classes and detection of outliers. ABC and ABP are two markers of ABU that could be used as two complementary approaches to identify targets for improvement.

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