998 resultados para ROJAS PIZARRO, GONZALO, 1916-2011
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En el presente documento, se expone el trabajo realizado en el período lectivo del primer semestre de la asignatura ¿Trabajo Final de Carrera¿ TFC de Ingeniería Técnica en Informática de Sistemas de Información Geográfica. Se detallan el trabajo y tareas llevadas a cabo en ese período.Se ha intentado llevar una pauta coherente en términos temporales, sin perjuicio de la existencia de contingencias que afectan al curso deseado de dicho trabajo. Aun así, se ha procurado un aceptable grado de previsión, de forma que las posibles consecuencias no afecten de forma negativa en el resultado final.La zona geográfica propuesta en este trabajo es Andalucía. Al igual que en el resto de la península y archipiélagos, la zona asociada a esta temática es relativamente grande, siendo la superficie andaluza especialmente extensa.Este trabajo pretender construir una fuente de información de interés en el ámbito de la Biodiversidad. El visor desarrollado en el TFC es susceptible de aplicarse a otros ámbitos de trabajo, distintos a la Biodiversidad, mediante el tratamiento de otras fuentes de datos geoespacialesSe ofrece, con este trabajo, una forma visual y accesible de obtener datos georreferenciados para el interés de cuantos estén relacionados con este campo, ya sean particulares interesados en los hábitats andaluces o personas afines al medioambiente.
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Introduction : Population aging leads to a considerable increase in the prevalence of specific diseases. We aimed to assess if those changes were already reflected in an Internal Medicine ward. Methods : Anonymous data was obtained from the administrative database of the department of internal medicine of the Lausanne University Hospital (CHUV). All hospitalizations of adult (>=18 years) patients occurring between 2003 and 2011 were included. Infections, cancers and diseases according to body system (heart, lung...) were defined by the first letter of the ICD-10 code for the main cause of hospitalization. Specific diseases (myocardial infarction, heart failure...) were defined by the first three letters of the ICD-10 codes for the main cause of hospitalization. Results : Data from 32,741 hospitalizations occurring between 2003 and 2011 was analyzed. Cardiovascular (ICD-10 code I) and respiratory (ICD-10 code J) diseases ranked first and second, respectively, and their ranks did not change during the study period (figure). Digestive and endocrine diseases decreased while psychiatric diseases increased from rank 9 in 2003 to rank 6 in 2011 (figure). Among specific diseases, pneumonia (organism unspecified, code J18) ranked first in 2003 and second in 2011. Acute myocardial infarction (code I21) ranked second in 2003 and third in 2011. Chronic obstructive pulmonary disease with acute lower respiratory infection (code J44) ranked third in 2003 and decreased to rank 8 in 2011. Conversely, heart failure (code I50) increased from rank 8 in 2003 to rank 1 in 2011 and delirium (not induced by alcohol and other psychoactive substances, code F05) increased from below rank 20 in 2003 to rank 4 in 2011. For more details, see table. Conclusion : In less than 10 years, considerable changes occurred in the presentation of patients attending an Internal Medicine ward. The changes in diseases call for adaptations in hospital staff and logistics.
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Background and Aims: To protect the population from environmental tobacco smoke (ETS) Switzerland introduced a nationwide rather heterogeneous smoking ban in May 2010. The exposure situation of non-smoking hospitality workers before and after implementation of the new law is being assessed in a prospective cohort study. Methods: Exposure to ETS was measured using a novel method developed by the Institute for Work and Health in Lausanne. It is a passive sampler called MoNIC (Monitor of NICotine). The nicotine of the ETS is fixed onto a filter and transformed into salt of not volatile nicotine. Subsequently the number of passively smoked cigarettes is calculated. Badges were placed at the workplace as well as distributed to the participants for personal measuring. Additionally a salivary sample was taken to determine nicotine concentration. Results: At baseline Spearman's correlation between workplace and personal badge was 0.47. The average cigarette equivalents per day at the workplace obtained by badge significantly dropped from 5.1 (95%- CI: 2.4 to 7.9) at baseline to 0.3 (0.2 to 0.4) at first follow-up (n=29) three months later (p<0.001). For personal badges the number of passively smoked cigarettes declined from 1.5 (2.7 to 0.4) per day to 0.5 (0.3 to 0.8) (n=16).Salivary nicotine concentration in a subset of 13 participants who had worked on the day prior to the examination was 2.63 ng/ml before and 1.53 ng/ml after the ban (p=0.04). Spearman's correlation of salivary nicotine was 0.56 with workplace badge and 0.79 with personal badge concentrations. Conclusions: Workplace measurements clearly reflect the smoking regulation in a venue. The MoNIC badge proves to be a sensitive measuring device to determine personal ETS exposure and it is a demonstrative measure for communication with lay audiences and study participants as the number of passively smoked cigarettes is an easily conceivable result.
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Cartel y calendario de bolsillo
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COORDINACIÓN: Pablo Simón Lorda, María Sagrario Esteban López. Publicado en la página web de la Consejería de Salud: www.juntadeandalucia.es/salud (Consejería de Salud / Ciudadanía / Nuestro Compromiso por la Calidad / Estrategia de Bioética del Sistema Sanitario Público de Andalucía)
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Background Intra-urban inequalities in mortality have been infrequently analysed in European contexts. The aim of the present study was to analyse patterns of cancer mortality and their relationship with socioeconomic deprivation in small areas in 11 Spanish cities. Methods It is a cross-sectional ecological design using mortality data (years 1996-2003). Units of analysis were the census tracts. A deprivation index was calculated for each census tract. In order to control the variability in estimating the risk of dying we used Bayesian models. We present the RR of the census tract with the highest deprivation vs. the census tract with the lowest deprivation. Results In the case of men, socioeconomic inequalities are observed in total cancer mortality in all cities, except in Castellon, Cordoba and Vigo, while Barcelona (RR = 1.53 95%CI 1.42-1.67), Madrid (RR = 1.57 95%CI 1.49-1.65) and Seville (RR = 1.53 95%CI 1.36-1.74) present the greatest inequalities. In general Barcelona and Madrid, present inequalities for most types of cancer. Among women for total cancer mortality, inequalities have only been found in Barcelona and Zaragoza. The excess number of cancer deaths due to socioeconomic deprivation was 16,413 for men and 1,142 for women. Conclusion This study has analysed inequalities in cancer mortality in small areas of cities in Spain, not only relating this mortality with socioeconomic deprivation, but also calculating the excess mortality which may be attributed to such deprivation. This knowledge is particularly useful to determine which geographical areas in each city need intersectorial policies in order to promote a healthy environment.