819 resultados para Regional population forecasting, service provision, box-Jenkins model


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O objeto deste estudo se referiu à extensão universitária, abordado a partir dos conceitos de universidade, organização, conhecimento e extensão. Buscou-se responder a seguinte pergunta: Os produtos gerados, por via de projetos, nas práticas extensionistas desenvolvidas pelo ICS/UFPA, cumprem as prerrogativas da Política Nacional de Extensão Universitária? Objetivou-se, de modo geral, analisar as práticas extensionistas do Instituto de Ciências da Saúde (ICS) da Universidade Federal do Pará (UFPA) à luz da Política Nacional de Extensão Universitária (PNEU), compreendida na interação dialógica, interdisciplinaridade e interprofissionalidade, indissociabilidade ensino-pesquisa-extensão, impacto na formação do estudante e, impacto e transformação social, contemplada na Política de Extensão da UFPA. A metodologia da pesquisa seguiu-se pela abordagem quantitativa e qualitativa com aporte bibliográfico e documental. Consultaram-se o acervo dos mais variados documentos, dado mais evidência àqueles enfocados sobre a extensão universitária no ano de 2012, contidos nas diversas instâncias da UFPA. Selecionaram-se para análise deste estudo 80 projetos e 60 relatórios de extensão do ICS do ano de 2012. Os resultados revelaram que as prerrogativas da PNEU ficaram muito aquém de serem atingidas pelos produtos do ICS, quando se tratou de interdisciplinaridade e interprofissionalidade, indissociabilidade ensinopesquisa- extensão, e, impacto e transformação social. Além disso, foi encontrada pouca participação por parte dos docentes, discentes e técnico-administrativos do ICS em dita atividade. Concluiu-se que o modelo de extensão do ICS é assistencial, desenvolvido através de prestação de serviços.

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Background Primary care is an important provider of sexual health care in England. We sought to explore the extent of testing for chlamydia and HIV in general practice and its relation to associated measures of sexual health in two contrasting geographical settings. Methods We analysed chlamydia and HIV testing data from 64 general practices and one genitourinary medicine (GUM) clinic in Brent (from mid-2003 to mid-2006) and 143 general practices and two GUM clinics in Avon (2004). We examined associations between practice testing status, practice characteristics and hypothesised markers of population need (area level teenage conception rates and Index of Multiple Deprivation, IMD scores). Results No HIV or chlamydia testing was done in 19% (12/64) of general practices in Brent, compared to 2.1% (3/143) in Avon. In Brent, the mean age of general practitioners (GPs) in Brent practices that tested for chlamydia or HIV was lower than in those that had not conducted testing. Practices where no HIV testing was done had slightly higher local teenage conception rates (median 23.5 vs. 17.4/1000 women aged 15-44, p = 0.07) and served more deprived areas (median IMD score 27.1 vs. 21.8, p = 0.05). Mean yearly chlamydia and HIV testing rates, in practices that did test were 33.2 and 0.6 (per 1000 patients aged 15-44 years) in Brent, and 34.1 and 10.3 in Avon, respectively. In Brent practices only 20% of chlamydia tests were conducted in patients aged under 25 years, compared with 39% in Avon. Conclusions There are substantial geographical differences in the intensity of chlamydia and HIV testing in general practice. Interventions to facilitate sexually transmitted infection and HIV testing in general practice are needed to improve access to effective sexual health care. The use of routinely-collected laboratory, practice-level and demographic data for monitoring sexual health service provision and informing service planning should be more widely evaluated.

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Recent planet population synthesis models (Alibert et al. 2010, submitted) have emphasized the key role played by the proto-planetary disk properties in determining the overall planet population characteristics. We present a disk model that takes into account viscous heating and irradiation by a central star. We consider the case of an equilibrium flaring angle. We illustrate the consequences of the resulting changes in the disk structure on the planet population by the synthetic populations corresponding to each of the different structures.

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Intermodal rail/road freight transport constitutes an alternative to long-haul road transport for the distribution of large volumes of goods. The paper introduces the intermodal transportation problem for the tactical planning of mode and service selection. In rail mode, shippers either book train capacity on a per-unit basis or charter block trains completely. Road mode is used for short-distance haulage to intermodal terminals and for direct shipments to customers. We analyze the competition of road and intermodal transportation with regard to freight consolidation and service cost on a model basis. The approach is applied to a distribution system of an industrial company serving customers in eastern Europe. The case study investigates the impact of transport cost and consolidation on the optimal modal split.

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Children with severe emotional problems often have multiple needs that require disparate services including child welfare, juvenile justice, health, mental health, substance abuse, and mental retardation (Stroul, 1996). However, the primary care giving responsibilities for these youngsters still remain with their families. It is the family who shelters and clothes them; provides guidance, affection, recreation, nurturing; gets them to appointments with doctors and therapists and to school dayin- and-day-out, year after year (Lourie, 1995). Despite the invaluable and irreplaceable care provided by families, they are often maligned by a system which characterizes them as having their own problems and inadequacies. The purpose of this research is to learn more about the strengths of families who care for children with severe emotional disabilities (SED). This exploratory descriptive study made use of focus groups attended by parents who are caring for such children. In order to improve services to these families, it is important that we understand how the notion of strengths play out in their everyday lives. Observations are made about the care giving plan, which all families devise in the course of caring for their child with special needs. Implications for paid professionals who serve these families are offered by presenting a model for putting family care givers at the hub of the service provision wheel.

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Infectious disease outbreaks can be devastating because of their sudden occurrence, as well as the complexity of monitoring and controlling them. Outbreaks in wildlife are even more challenging to observe and describe, especially when small animals or secretive species are involved. Modeling such infectious disease events is relevant to investigating their dynamics and is critical for decision makers to accomplish outbreak management. Tularemia, caused by the bacterium Francisella tularensis, is a potentially lethal zoonosis. Of the few animal outbreaks that have been reported in the literature, only those affecting zoo animals have been closely monitored. Here, we report the first estimation of the basic reproduction number R0 of an outbreak in wildlife caused by F. tularensis using quantitative modeling based on a susceptible-infected-recovered framework. We applied that model to data collected during an extensive investigation of an outbreak of tularemia caused by F. tularensis subsp. holarctica (also designated as type B) in a closely monitored, free-roaming house mouse (Mus musculus domesticus) population in Switzerland. Based on our model and assumptions, the best estimated basic reproduction number R0 of the current outbreak is 1.33. Our results suggest that tularemia can cause severe outbreaks in small rodents. We also concluded that the outbreak self-exhausted in approximately three months without administrating antibiotics.

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Background. Population health within and between nations is heavily influenced by political determinants, yet these determinants have received significantly less attention than socioeconomic factors in public health. It has been hypothesized that the welfare state, as a political variable, may play a particularly prominent role in affecting both health indicators and health disparities in developed countries. The research, however, provides conflicting evidence regarding the health impact of particular regimes over others and the mechanisms through which the welfare state can most significantly affect health.^ Objective. To perform a systematic review of the literature as a means of exploring what the current research indicates regarding the benefits or detriments of particular regimes styles and the pathways through which the welfare state can impact heath indicators and health disparities within developed countries.^ Methods. A thorough search of the EBSCO, Pubmed, Medline, Web of Science, and Scopus electronic databases was conducted and resulted in the identification of 15 studies that evaluated the association between welfare state regime and population health outcomes, and/or pathways through with the welfare state influences health. ^ Results. Social democratic countries tended to perform best when infant mortality rate (IMR) was the primary outcome of interest, whereas liberal countries performed strongly in relation to self perceived health. The results were mixed regarding welfare state effectiveness in mitigating health inequities, with Christian democratic countries performing as well as social democratic countries. In relation to welfare state pathways, public health spending and medical coverage were associated with positive health indicators. Redistributive impact of the welfare state was also consistently associated with better health outcomes while social security expenditures were not.^ Discussion/Conclusions. Studies consistently discovered a significant relationship between the welfare state and population health and/or health disparities, lending support to the hypothesis that the welfare state is, indeed, an important non-medical determinant of health. However, it is still fairly unclear which welfare state regime may be most protective for health, as results varied according to the measured health indicator. The research regarding welfare state pathways is particularly undeveloped, and does not provide much insight into the importance of in-kind service provision or cash transfers, or targeted or universal approaches to the welfare state. Suggestions to direct future research are provided.^

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Characteristics of Medicare-certified home health agencies in Texas and the contributions of selected agency characteristics on home health care costs were examined. Cost models were developed and estimated for both nursing and total visit costs using multiple regression procedures. The models included home health agency size, profit status, control, hospital-based affiliation, contract-cost ratio, service provision, competition, urban-rural input-price differences, and selected measures of patient case-mix. The study population comprised 314 home health agencies in Texas that had been certified at least one year on July, 1, 1986. Data for the analysis were obtained from Medicare Cost Reports for fiscal year ending between July 1, 1985 to June 30, 1986.^ Home health agency size, as measured by the logs of nursing and total visits, has a statistically significant negative linear relationship with nursing visit and total visit costs. Nursing and total visit costs decrease at a declining rate as size increases. The size-cost relationship is not altered when controlling for any other agency characteristic. The number of visits per patient per year, a measure of patient case-mix, is also negatively related to costs, suggesting that costs decline with care of chronic patients. Hospital-based affiliation and urban location are positively associated with costs. Together, the four characteristics explain 19 percent of the variance in nursing visit costs and 24 percent of the variance in total visit costs.^ Profit status and control, although correlated with other agency characteristics, exhibit no observable effect on costs. Although no relationship was found between costs and competition, contract cost ratio, or the provision on non-reimburseable services, no conclusions can be made due to problems with measurement of these variables. ^

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Background. Kidney disease is a growing public health phenomenon in the U.S. and in the world. Downstream interventions, dialysis and renal transplants covered by Medicare's renal disease entitlement policy in those who are 65 years and over have been expensive treatments that have been not foolproof. The shortage of kidney donors in the U.S. has grown in the last two decades. Therefore study of upstream events in kidney disease development and progression is justified to prevent the rising prevalence of kidney disease. Previous studies have documented the biological route by which obesity can progress and accelerate kidney disease, but health services literature on quantifying the effects of overweight and obesity on economic outcomes in the context of renal disease were lacking. Objectives . The specific aims of this study were (1) to determine the likelihood of overweight and obesity in renal disease and in three specific adult renal disease sub-populations, hypertensive, diabetic and both hypertensive and diabetic (2) to determine the incremental health service use and spending in overweight and obese renal disease populations and (3) to determine who financed the cost of healthcare for renal disease in overweight and obese adult populations less than 65 years of age. Methods. This study was a retrospective cross-sectional study of renal disease cases pooled for years 2002 to 2009 from the Medical Expenditure Panel Survey. The likelihood of overweight and obesity was estimated using chi-square test. Negative binomial regression and generalized gamma model with log link were used to estimate healthcare utilization and healthcare expenditures for six health event categories. Payments by self/family, public and private insurance were described for overweight and obese kidney disease sub-populations. Results. The likelihood of overweight and obesity was 0.29 and 0.46 among renal disease and obesity was common in hypertensive and diabetic renal disease population. Among obese renal disease population, negative binomial regression estimates of healthcare utilization per person per year as compared to normal weight renal disease persons were significant for office-based provider visits and agency home health visits respectively (p=0.001; p=0.005). Among overweight kidney disease population health service use was significant for inpatient hospital discharges (p=0.027). Over years 2002 to 2009, overweight and obese renal disease sub-populations had 53% and 63% higher inpatient facility and doctor expenditures as compared to normal weight renal disease population and these result were statistically significant (p=0.007; p=0.026). Overweigh renal disease population had significant total expenses per person per year for office-based and outpatient associated care. Overweight and obese renal disease persons paid less from out-of-pocket overall compared to normal weight renal disease population. Medicare and Medicaid had the highest mean annual payments for obese renal disease persons, while mean annual payments per year were highest for private insurance among normal weight renal disease population. Conclusion. Overweight and obesity were common in those with acute and chronic kidney disease and resulted in higher healthcare spending and increased utilization of office-based providers, hospital inpatient department and agency home healthcare. Healthcare for overweight and obese renal disease persons younger than 65 years of age was financed more by private and public insurance and less by out of pocket payments. With the increasing epidemic of obesity in the U.S. and the aging of the baby boomer population, the findings of the present study have implications for public health and for greater dissemination of healthcare resources to prevent, manage and delay the onset of overweight and obesity that can progress and accelerate the course of the kidney disease.^

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The gravity model, entropy model, potential type model and others like these have been adopted to formulate interregional trade coefficients under the framework of Multi-Regional I-O (MRIO) analysis. Since most of these models are based upon analogies in physics or on statistical principles, they do not provide a theoretical explanation from the view of a firm's or individual's rational and deterministic decision making. In this paper, according to the deterministic choice theory, not only is an alternative formulation of the trade coefficients presented, but also a discussion of an appropriate definition for purchasing prices indices. Since this formulation is consistent with the MRIO system, it can be employed as a useful model-building tool in multi-regional models such as the spatial CGE model.

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This study quantitatively explores the changing population geography in Bengal, with a particular focus on Partition in India in 1947 and Independence of Bangladesh in 1971. Based on decadal census data from 1901 to 2001 at the district level, this paper explores how trends in regional population growth evolved with such historical events. Following Redding and Sturm (2008), Differences-in-Differences estimation is also employed. Estimation results show that there were different shocks on both sides and from both events. In West Bengal, the change in the regional population trends occurred in 1947 and remained similar thereafter. On the other hand, in East Bengal, the population growth became statistically significant after 1971. Further robustness checks show that the impacts were not uniform with respect to the distance from the border. Overall analyses show that the emergence of the international border in Bengal had asymmetric impacts on both sides.

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Forecasting tourism demand is crucial for management decisions in the tourism sector. Estimating a vector autoregressive (VAR) model for monthly visitor arrivals disaggregated by three entry points in Cambodia for the years 2006–2015, I forecast the number of arrivals for years 2016 and 2017. The results show that the VAR model fits well with the data on visitor arrivals for each entry point. Ex post forecasting shows that the forecasts closely match the observed data for visitor arrivals, thereby supporting the forecasting accuracy of the VAR model. Visitor arrivals to Siem Reap and Phnom Penh airports are forecast to increase steadily in future periods, with varying fluctuations across months and origin countries of foreign tourists.

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Los modelos de desarrollo regional, rural y urbano arrancaron en la década de los 90 en Estados Unidos, modelando los factores relacionados con la economía que suministran información y conocimiento acerca de cómo los parámetros geográficos y otros externos influencian la economía regional. El desarrollo regional y en particular el rural han seguido diferentes caminos en Europa y España, adoptando como modelo los programas estructurales de la UE ligados a la PAC. El Programa para el Desarrollo Rural Sostenible, recientemente lanzado por el Gobierno de España (2010) no profundiza en los modelos económicos de esta economía y sus causas. Este estudio pretende encontrar pautas de comportamiento de las variables de la economía regional-rural, y como el efecto de distribución geográfica de la población condiciona la actividad económica. Para este propósito, y utilizando datos espaciales y económicos de las regiones, se implementaran modelos espaciales que permitan evaluar el comportamiento económico, y verificar hipótesis de trabajo sobre la geografía y la economía del territorio. Se utilizarán modelos de análisis espacial como el análisis exploratorio espacial y los modelos econométricos de ecuaciones simultáneas, y dentro de estas los modelos ampliamente utilizados en estudios regionales de Carlino-Mills- Boarnet. ABSTRACT The regional development models for rural and urban areas started in USA in the ´90s, modeling the economy and the factors involved to understand and collect the knowledge of how the external parameters influenced the regional economy. Regional development and in particular rural development has followed different paths in Europe and Spain, adopting structural programs defined in the EU Agriculture Common Policy. The program for Sustainable Rural Development recently implemented in Spain (2010) is short sighted considering the effects of the regional economy. This study endeavors to underline models of behavior for the rural and regional economy variables, and how the regional distribution of population conditions the economic activities. For that purpose using current spatial regional economic data, this study will implement spatial economic models to evaluate the behavior of the regional economy, including the evaluation of working hypothesis about geography and economy in the territory. The approach will use data analysis models, like exploratory spatial data analysis, and spatial econometric models, and in particular for its wide acceptance in regional analysis, the Carlino-Mills-Boarnet equations model.