scholarly journals Distribuição e autocorrelação espacial dos casos de Tentativas de Suicídio por medicamentos em um município paraibano

2021 ◽  
Vol 10 (15) ◽  
pp. e480101522987
Author(s):  
Andreza Josiany Aires de Farias ◽  
Allana Renally Cavalcante Santos de Moraes ◽  
Ricardo Alves de Olinda ◽  
Saulo Rios Mariz ◽  
Tânia Maria Ribeiro Monteiro de Figueiredo ◽  
...  
Keyword(s):  
Statistical Computing ◽  
R Project

Trata-se de um estudo observacional, analítico e transversal, de caráter quantitativo, realizado a partir de dados secundários provenientes do Sistema de Informação de Agravos de Notificação (SINAN). Objetivou-se analisar o padrão espacial dos casos de tentativas de suicídio por medicamentos no município de Campina Grande/PB, em 2019. Foi realizado estatística descritiva, assim como elaboração de mapas (Moran e Lisa) para a verificação da distribuição espacial dos casos em estudo. Realizou-se, também, mapa coroplético para demonstrar a ocorrência e a intensidade do fenômeno e Diagrama de Espalhamento de Moran, utilizando-se o Índice de Moran Global e o Índice de Moran Local, com auxílio do software estatístico gratuito The R Project for Statistical Computing. Para nortear a análise espacial, utilizou-se a variável “bairro”. A amostra totalizou 237 pacientes residentes na zona urbana de Campina Grande que tentaram suicídio através do uso de medicamentos. O perfil dos pacientes obedeceu o seguinte padrão: sexo feminino (79,7%), faixa etária de 20 a 39 anos (51,5%), escolaridade em nível fundamental (49,4%), solteiro (a) como estado civil (64,5%) e a maioria sendo estudante (42,2%), seguido de desempregado (a) (32,1%). Os bairros que apresentaram o maior número de casos foram: Malvinas (n=23), Bodocongó (n=21) e Serrotão (n=9). Por outro lado, os bairros Mirante, Cuités, Sandra Cavalcante, Louzeiro, Itararé e Velame não apresentaram ocorrências de casos de tentativas de suicídio através do uso de medicamentos. Assim, verificou-se que, no quesito global, não houve autocorrelação espacial significativa na região estudada, com Índice de Moran Global encontrado de 0,1210.

scholarly journals Demographic and Comorbidities Data Description of Population in Mexico with SARS-CoV-2 Infected Patients(COVID19): An Online Tool Analysis

2020 ◽  
Vol 17 (14) ◽  
pp. 5173
Author(s):  
Carlos E. Galván-Tejada ◽  
Laura A. Zanella-Calzada ◽  
Karen E. Villagrana-Bañuelos ◽  
Arturo Moreno-Báez ◽  
Huizilopoztli Luna-García ◽  
...  
Keyword(s):  
Demographic Data ◽  
Statistical Computing ◽  
Online Tool ◽  
Data Description ◽  
Graphic Information ◽  
R Project ◽  
Visualization Tools ◽  
Health Organization ◽  
National Governments ◽  
Web Platform

The Word Health Organization (WHO) declared in March 2020 that we are facing a pandemic designated as COVID-19, which is the acronym of coronavirus disease 2019, caused by a new virus know as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). In Mexico, the first cases of COVID-19, was reported by the Secretary of Health on 28 February 2020. More than sixteen thousand cases and more than fifteen thousand deaths have been reported in Mexico, and it continues to rise; therefore, this article proposes two online visualization tools (a web platform) that allow the analysis of demographic data and comorbidities of the Mexican population. The objective of these tools is to provide graphic information, fast and updated, based on dataset obtained directly from National Governments Health Secretary (Secretaría de Salud, SSA) which is daily refreshed with the information related to SARS-CoV-2. To allow a dynamical update and friendly interface, and approach with R-project, a well-known Open Source language and environment for statistical computing and Shiny package, were implemented. The dataset is loaded automatically from the latest version released by the federal government of Mexico. Users can choose to study particular groups determined by gender, entity, type of result (positive, negative, pending outcome) and comorbidity. The image results are plots that can be instantly interpreted and supported by the text summary. This tool, in addition to being a consultation for the general public, is useful in Public Health to facilitate the visualization of the data, allowing its timely interpretation due to the changing nature of COVID-19, it can even be used for decision-making by leaders, for the benefit of the health of the community.

scholarly journals STATUS OF THE INVASION OF A POACEAE SPECIES IN TROPICAL SEMIARID RESERVOIRS

2017 ◽  
Vol 35 (0) ◽  
Author(s):  
R.M.A. ALVES ◽  
M.B. ALBUQUERQUE ◽  
L.G. BARBOSA
Keyword(s):  
Spatial Distribution ◽  
Native Species ◽  
Spatial Scales ◽  
Regional Scale ◽  
Statistical Computing ◽  
Relevant Factor ◽  
R Program ◽  
R Project ◽  
Environmental Instability ◽  
Biotic Acceptance

ABSTRACT The species of the Urochloa genus, exotic and infesting in Brazilian waters, are known to be invasive and dominant, occupying from humid, shallow areas, and irrigation canals to margins of deep reservoirs. This paper hypothesis that less depth reservoirs have higher infestation rate and higher biomass of U. arrecta. The objectives were to measure the percentage of occurrence of exotic macrophyte U. arrecta in 40 ecosystems from the Mamanguape basin (Paraíba, Brazil) and determine the infestation of the species in two reservoirs. The acquired data were geo-referenced with the ArcGIS software (v. 9.3). A covariance analysis was performed using the R program (The R project is Statistical Computing). The results showed large spatial distribution of the species, indicating that reservoirs may act as steppingstones in the landscape, in a regional scale. The hypothesis of biotic acceptance is seen as a relevant factor in explaining the presence of the species with low percentage of occurrence in 37 out of the 40 sampled ecosystems, being observed only in areas prone to the colonization of native and naturalized macrophytes, in banks and points of lower declivity, in both spatial scales studied. Thus, factors such as environmental instability (promoted by intermittent or prolonged desiccation of the habitat), shadowing and declivity of the reservoirs synergistically acted on exotic and native species.

scholarly journals APPENDIX:Planktic foraminiferal diversity: logistic growth overprinted by a varying environment

2016 ◽  
Vol 21 (3) ◽  
Author(s):  
Andrés L. Cárdenas Rozo ◽  
Peter J. Harries
Keyword(s):  
Statistical Analyses ◽  
Logistic Growth ◽  
Statistical Computing ◽  
Supplementary Data ◽  
R Project ◽  
Varying Environment

Cárdenas Rozo AL, Harries PJ. Planktic foraminiferal diversity: logistic growth overprinted by a varying environment. Acta biol. Colomb. 2016;21(3):501-508. The statistical analyses, were done using R (The R Project for Statistical Computing, www.r-project.org). This appendix includes: Supplementary data Supplementary methods Tables 1 to 11 Figures 1 to 4 Supplementary references

scholarly journals Motivation, values, and work design as drivers of participation in the R open source project for statistical computing

2015 ◽  
Vol 112 (48) ◽  
pp. 14788-14792 ◽  
Author(s):  
Patrick Mair ◽  
Eva Hofmann ◽  
Kathrin Gruber ◽  
Reinhold Hatzinger ◽  
Achim Zeileis ◽  
...  
Keyword(s):  
Quantitative Methods ◽  
Linear Models ◽  
R Package ◽  
Work Design ◽  
Social Characteristics ◽  
Statistical Computing ◽  
Hybrid Form ◽  
R Project ◽  
Design Characteristics ◽  
Psychological Scales

One of the cornerstones of the R system for statistical computing is the multitude of packages contributed by numerous package authors. This amount of packages makes an extremely broad range of statistical techniques and other quantitative methods freely available. Thus far, no empirical study has investigated psychological factors that drive authors to participate in the R project. This article presents a study of R package authors, collecting data on different types of participation (number of packages, participation in mailing lists, participation in conferences), three psychological scales (types of motivation, psychological values, and work design characteristics), and various socio-demographic factors. The data are analyzed using item response models and subsequent generalized linear models, showing that the most important determinants for participation are a hybrid form of motivation and the social characteristics of the work design. Other factors are found to have less impact or influence only specific aspects of participation.

scholarly journals Avaliação do processo ensino e aprendizagem no ambiente de simulação realística na graduação em enfermagem

2020 ◽  
Vol 10 (6) ◽  
Author(s):  
Fabíolla Lopes Rodrigues ◽  
Luciana Melo de Moura ◽  
Lara Mabelle Milfont Boeckmann ◽  
Manuela Costa Melo ◽  
Fabiana Cláudia de Vasconcelos França ◽  
...  
Keyword(s):  
Social Sciences ◽  
Statistical Computing ◽  
The Social ◽  
R Project

Objetivo: Avaliar o processo ensino-aprendizagem no ambiente de simulação realística na percepção de estudantes de graduação em enfermagem. Método: Estudo transversal descritivo com 59 estudantes. Foram aplicadas duas escalas: Experiência com o debriefing e design de Simulação. Dados analisados com Software Statistical Package for the Social Sciences, versão 24.0, o The R Project for Statistical Computing versão 3.3 e Office Excel 2007. Empregaram-se o Alpha de Cronbach e teste Qui-quadrado considerando p<0,05. Resultados: para as duas escalas, demostrou-se concordância entre 62% e 93% correspondentes ao somatório dos parâmetros: concordo com a afirmação e concordo com afirmação totalmente. A confiabilidade interna da escala de experiência com debriefing foi 0.972 e da escala do design de simulação 0.964. Associando-se dimensões da escala de debriefing, obtiveram-se p-valores significativos de (0-0,0006) e para a escala de design, p-valores (0-0,0050). Conclusões: consolidou-se a simulação como estratégia de ensino-aprendizagem evidenciada pela avaliação satisfatória dos estudantes.

scholarly journals Valoración de la práctica orientadora y tutorial en la universidad: validación de una escala para el alumnado

2020 ◽  
Vol 23 (2) ◽  
Author(s):  
Antonio Pantoja-Vallejo ◽  
David Molero ◽  
María Dolores Molina-Jaén ◽  
María Jesús Colmenero-Ruiz
Keyword(s):  
Statistical Computing ◽  
R Project

reciente implantación en los estudios superiores, independientemente de las materias o áreas de las que se trate. Esto ha conllevado una falta de formación específica del profesorado universitario para atender demandas del alumnado. El objetivo de este trabajo fue validar la escala denominada POTAE-17, cuya finalidad es la de medir y valorar la práctica orientadora y tutorial en el alumnado y egresados universitarios. La muestra representativa, siguiendo un sistema de muestreo aleatorio proporcional, estuvo compuesta por 4003 estudiantes matriculados en 2º y 4º curso de las 24 titulaciones comunes en las universidades españolas de Granada y Jaén, máster y doctorado (35,22% hombres; 64,77% mujeres). A la misma se suman las otras instituciones participantes en el estudio general, Instituto Politécnico de Coímbra (Portugal) y Queen Mary University of London (Reino Unido), si bien los sujetos que aportan no presentan proporcionalidad al no haber coincidencia de estudios en estos países. Para el análisis de los datos se utilizó el paquete R Project for Statistical Computing y Lavaan de R. La escala POTAE-17 reflejó una estructura de 4 factores (orientación académica, orientación personal, orientación profesional, y orientación y TIC), mostrando la multidimensionalidad de la escala y una adecuada fiabilidad y validez. Estos resultados se apoyan en la necesidad de disponer de una medida que sea útil para el profesorado y alumnado en el ámbito de la orientación y la tutoría en el contexto universitario y, por ende, de fomentar la formación en acciones orientadoras universitarias.

scholarly journals Using the Paleobiology Database and MorphoBank to facilitate collaborative research and data archival

2019 ◽  
Author(s):  
Melanie J Hopkins
Keyword(s):  
Collaborative Research ◽  
Review Process ◽  
Morphological Data ◽  
Statistical Computing ◽  
Data Services ◽  
Public Resource ◽  
Online Tools ◽  
R Project ◽  
History Of ◽  
Visualization Tools

The internet has made it possible to share and store large quantities of data, and as a result, there is an increasing imperative to make data easily accessible and results reproducible. This has been facilitated by the proliferation of online tools available for archiving and sharing data. In this talk I will describe two databases that are structured in different ways but provide useful platforms for collaboration, reproducibility, and data archival. The first is the Paleobiology Database (PBDB), which is a public resource for paleontological data in support of global, collection-based occurrence and taxonomic data for organisms of all geologic ages. I will give a brief history of the PBDB; describe how data is contributed; describe data services for browsing data, downloading data, and the independent development of analytical and visualization tools; and describe how to make research based on data from the PBDB replicable. The second is MorphoBank, which is a project-based platform for organizing and archiving morphological data and images affiliated with that data, and whose primary use has been for building morphological matrices for use in phylogenetic and disparity analyses. I will give a brief history of MorphoBank; describe tools for data creation, editing, and export; and describe how the platform is best used for replicability and data archival during the review process and after publication. Finally, I will discuss the future of both databases, focusing particularly on initiatives for connecting each with other databases and with the R Project for Statistical Computing, as well as educational resources and funding.

scholarly journals Using the Paleobiology Database and MorphoBank to facilitate collaborative research and data archival

2019 ◽  
Author(s):  
Melanie J Hopkins
Keyword(s):  
Collaborative Research ◽  
Review Process ◽  
Morphological Data ◽  
Statistical Computing ◽  
Data Services ◽  
Public Resource ◽  
Online Tools ◽  
R Project ◽  
History Of ◽  
Visualization Tools

The internet has made it possible to share and store large quantities of data, and as a result, there is an increasing imperative to make data easily accessible and results reproducible. This has been facilitated by the proliferation of online tools available for archiving and sharing data. In this talk I will describe two databases that are structured in different ways but provide useful platforms for collaboration, reproducibility, and data archival. The first is the Paleobiology Database (PBDB), which is a public resource for paleontological data in support of global, collection-based occurrence and taxonomic data for organisms of all geologic ages. I will give a brief history of the PBDB; describe how data is contributed; describe data services for browsing data, downloading data, and the independent development of analytical and visualization tools; and describe how to make research based on data from the PBDB replicable. The second is MorphoBank, which is a project-based platform for organizing and archiving morphological data and images affiliated with that data, and whose primary use has been for building morphological matrices for use in phylogenetic and disparity analyses. I will give a brief history of MorphoBank; describe tools for data creation, editing, and export; and describe how the platform is best used for replicability and data archival during the review process and after publication. Finally, I will discuss the future of both databases, focusing particularly on initiatives for connecting each with other databases and with the R Project for Statistical Computing, as well as educational resources and funding.

The R Project in Statistical Computing

2001 ◽  
Vol 1 (1) ◽  
pp. 23-25 ◽  
Author(s):  
Brian D Ripley
Keyword(s):  
Statistical Computing ◽  
R Project
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