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1.
Palmas; [Secretaria de Estado da Saúde]; 2 abr. 2020. 2 p.
Non-conventional in Portuguese | SES-TO, ColecionaSUS, CONASS, LILACS | ID: biblio-1120804

ABSTRACT

Orienta quanto a higiene das mãos e disponibilização a funcionários e entregadores o acesso fácil a pias providas com água corrente, sabonete líquido, toalhas de papel descartáveis, lixeiras com tampa de acionamento por pedal, além de frascos com álcool gel 70%.


As for hand hygiene and providing employees and delivery personnel with easy access to sinks provided with running water, liquid soap, disposable paper towels, trash cans with a pedal-operated lid, in addition to bottles with 70% alcohol gel.


En cuanto a la higiene de manos y al personal y repartidor de fácil acceso a lavabos provistos de agua corriente, jabón líquido, toallas de papel desechables, basureros con tapa a pedal, además de botellas con gel de alcohol al 70%.


Subject(s)
Humans , Food Hygiene/instrumentation , Control and Sanitary Supervision of Foods and Beverages , Urban Population/classification , Infection Control/methods , Outsourced Services/standards , Health Risk , Product Release , Small Business , e-Commerce , Occupational Groups/classification
2.
Rev. saúde pública ; 44(1): 45-52, Feb. 2010. tab, mapas
Article in English, Portuguese | LILACS | ID: lil-538145

ABSTRACT

OBJETIVO: Analisar as desigualdades sociais de jovens moradores em área urbana pelo mapeamento de dados sociodemográficos e econômicos. MÉTODOS: Utilizando-se dados do Censo Demográfico 2000, 57 variáveis sociodemográficas e econômicas de jovens de 15 a 24 anos do município de Santo André, SP, foram distribuídas por 43 regiões de dados estatísticos que correspondem a um recorte do território em distritos menores. Os dados foram coletados no Departamento de Indicadores Sociais e Econômicos da Prefeitura Municipal de Santo André, referentes ao ano 2000. Por meio de análise fatorial, 13 variáveis foram agrupadas em dois fatores - condições de trabalho e condições de vida, que discriminaram estatisticamente regiões semelhantes entre si. Foi realizada análise por agrupamento das regiões, resultando em quatro grupos sociais. RESULTADOS: O espaço que concentrava os jovens com mais acesso à riqueza foi classificado como central e aqueles com menos acesso, como periférico. Duas gradações intermediárias puderam ser identificadas, uma mais próxima ao extremo do acesso ("quase central") e outra mais próxima à privação ("quase periférica"). As variáveis discriminantes estavam relacionadas ao trabalho, à migração, escolaridade, fecundidade, posição do jovem no domicílio, presença de cônjuge ou companheiro, condição de moradia e posse de bens. CONCLUSÕES: As diferenças entre os grupos sociais expressaram desigualdades importantes entre os jovens que vivem, estudam e/ou trabalham na cidade, o que contribuirá para o planejamento de políticas sociais públicas dirigidas a esses grupos.


OBJECTIVE: To analyze social inequalities in young adults living in an urban area by mapping sociodemographic and economic data. METHODS: Using data from the 2000 Demographic Census, 57 sociodemographic and economic variables of young adults aged from 15 to 24 years, living in the city of Santo André, Southeastern Brazil, were distributed among 43 areas of statistical data, corresponding to a division of the region into smaller districts. Data from the year 2000 were collected from the Santo André City Hall Department of Socioeconomic Indicators. Using factorial analysis, 13 variables were grouped in two factors - working conditions and life conditions, which distinguished areas that were similar to one another statistically. Cluster analysis of areas was performed, resulting in four social groups. RESULTS: The area that concentrated young adults with higher access to wealth was classified as central and that including individuals with lower access to wealth was classified as peripheral. Two intermediate areas could be identified, one closer to the highest access to wealth ("almost central") and another close to the lowest access to wealth ("almost peripheral"). Discriminating variables were associated with work, migration, level of education, fertility, adolescent's position in the household, presence of spouse or partner, living conditions and assets owned. CONCLUSIONS: Differences among social groups revealed important inequalities among young adults who live, study and/or work in the city, which will contribute to the planning of public social policies aimed at these groups.


Subject(s)
Adolescent , Female , Humans , Male , Young Adult , Social Class , Social Conditions/statistics & numerical data , Social Justice/statistics & numerical data , Urban Population/statistics & numerical data , Brazil , Social Conditions/classification , Social Justice/classification , Socioeconomic Factors , Urban Population/classification , Young Adult
3.
Rev. saúde pública ; 43(6): 1035-1043, dez. 2009. tab, ilus
Article in English, Portuguese | LILACS | ID: lil-535301

ABSTRACT

OBJETIVO: Analisar a ocorrência espacial e temporal da dengue e sua associação com a heterogeneidade de características do ambiente urbano. MÉTODOS: Foram georreferenciados 1.212 casos de dengue registrados no Sistema de Informação de Agravos de Notificação entre 1998 e 2006, no município de Niterói, RJ, segundo setores censitários. Os setores foram classificados em áreas homogêneas para a ocorrência da doença: favela, estaleiro e urbano. Os casos foram agrupados em cinco períodos: dois interepidêmicos 1998-2000 e 2003-2005; três epidêmicos 2001, 2002 e 2006 e analisados por meio de operações entre camadas em ambiente sistema de informação geográfica. Para identificação de conglomerados com maior intensidade de casos, utilizou-se o método de kernel. O método de varredura espacial de Kulldorff foi usado para confirmação estatística desses clusters. RESULTADOS: Do total de casos, 57 por cento eram do sexo feminino. As faixas etárias com maior concentração de casos foram de 20-29 anos (20,5 por cento) e de 30-39 anos (17,7 por cento). O setor favela morro apresentou somente 11 por cento dos domicílios atendidos por serviço de coleta de lixo, o maior percentual de não alfabetizados (8,7 por cento) e de chefes de família com rendimentos menores de 1 salário mínimo (29,5 por cento). Os casos permaneceram nos setores denominados favelas. No primeiro ano epidêmico e nos períodos interepidêmicos o maior número de casos estava situado nos setores favelas morro e favela plana; no segundo e terceiro ano de epidemia, situavam-se no setor favela plana. CONCLUSÕES: A parcela economicamente ativa foi a mais atingida na área de estudo. Os setores censitários mostram heterogeneidade espacial em relação às condições de vida e dentro de alguns setores, há diferenciais na distribuição espacial e temporal do risco de ocorrência da dengue.


OBJECTIVE: To analyze the spatial and temporal occurrence of dengue fever and its association with the heterogeneity of urban environment characteristics. METHODS: A total of 1,212 dengue cases, recorded in the Information System for Notifiable Diseases (Sinan) between 1998 and 2006, in the city of Niterói, Southeastern Brazil, were georeferenced according to census tracts. These tracts were classified into homogeneous areas for the occurrence of the disease: slum, shipyard and urban area. Cases were grouped into five periods - two inter-epidemic periods (1998-2000 and 2003-2005) and three epidemic periods (2001, 2002 and 2006) - and analyzed using operations between layers in a geographic information system (GIS) environment. The kernel method was used to identify clusters of cases. Kulldorff's spatial scan statistic was used to confirm these clusters statistically. RESULTS: Of all cases, 57 percent were females. Age groups with the highest number of cases were 20-29-years (20.5 percent) and 30-39-years (17.7 percent). The hill slum sector showed only 11 percent of households covered by garbage collection service, the highest percentage of illiterate individuals (8.7 percent) and head of families with income lower than one monthly minimum wage (29.5 percent). Cases remained in the slum sectors. In the first epidemic year and in the inter-epidemic periods, the highest number of cases was found in the hill and flatland slum sectors; in the second and third epidemic years, in the flatland slum sector. CONCLUSIONS: The economically active portion of the population was that most affected in the study area. Census tracts show spatial heterogeneity in relation to life conditions. In addition, in some tracts, there are differences in spatial and temporal distribution of the risk of occurrence of dengue fever.


Subject(s)
Humans , Male , Female , Adult , Young Adult , Dengue/epidemiology , Urban Population/statistics & numerical data , Brazil/epidemiology , Image Processing, Computer-Assisted/methods , Poverty Areas , Socioeconomic Factors , Space-Time Clustering , Time Factors , Urban Population/classification , Young Adult
4.
Journal of Karbala University. 2005; 2 (9): 10-21
in Arabic | IMEMR | ID: emr-71945

ABSTRACT

This research represents and attempt to evaluate the ability of using Cosmos satellite image for land-use classification in one of the most populated region in Baghdad [Al-Sheikh'Omar], which characterized by irregular land-use and different environments. Such variety can be recognized by wide range of image brightness values and interfering between classes [asphalt, metal roofed galleries ' etc]. this small area represent different types of land-use [industrial, commercial, governmental, and housing], and that point to exist of different subclasses in the main classes. Erdas program used to treat Cosmos image cover the pointed region, which include digital processing and analysis firstly, and digital classification secondly. The first process includes making radiometrical enhancement [contrast and density slicing], so as to separate high buildings fro metal roofed galleries, in addition to spatial enhancement [edge enhancement and spatial filtering] to get out back street of [1.8] m wide or more further to main street. While digital classification includes applicating of three types of classification [supervised, unsupervised, and hybrid]. The study concludes that the hybrid classification has a good ability to avoid the difficulty of training all land-use categories in one hand, and to treat the interference between them on the other. So hybrid classification is important to separate street from houses, buildings and metal roofed galleries, and consider as the best between others. While the unsupervised classification was more simple, clear and object, that make use of it in determining the identifying regions for the supervised classification which in turn very useful and accurate in getting out houses


Subject(s)
Satellite Communications , Agriculture/classification , Urban Population/classification
5.
Bol. méd. Hosp. Infant. Méx ; 47(5): 332-5, mayo 1990. tab
Article in Spanish | LILACS | ID: lil-99088

ABSTRACT

Con el propósito de establecer las diferencias en hábitos televisivos se cuesionó a un grupo de 80 niños, 40 del medio urbano (MU) y 40 del medio rural (MR), quienes cursaban la instrucción primaria. Los niños fueron seleccionados al azar; sus respuestas se cotejaron con un listado de programación nacinal y local de televisión excluyéndose las contradictorias. Los niños de ambos grupos invirtieron tiempo similar para acudir a clases (P:NS), mientras que al ver televisión (TV) dedicaron 3.5 horas al día como romedio en MU y 2.3 horas en MR (P=0.001). Vieron televisión acompañados de un adulto el 30% en el mU y 32% en el MR (P:NS). El número de aparatos receptores de TV por hogar fue significativamente mayor en MU (P=0.001). Todos los niños vieron programas que se transmitían después de las 21 horas y los comerciales de alimentos no indispensables fueron elegidos como los favoritos en ambos grupos (P:NS).


Subject(s)
Humans , Child , Adolescent , Culture/education , Culture/statistics & numerical data , Culture/trends , Habits/education , Urban Population/classification , Urban Population/education , Urban Population/trends , Rural Population , Television/trends , Vision, Ocular , Learning
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