Avaliação económica da vacinação contra o vírus do papiloma humano 16 e 18 (CERVARIX®) : análise de custo-utilidade e custo-efetividade em mulheres dos 26 aos 55 anos em Portugal

RESUMO - O cancro do colo útero representa um importante problema de saúde pública em Portugal: é o terceiro cancro mais frequente nas mulheres entre os 15 e os 44 anos, originando a morte de 346 mulheres anualmente. Contudo, esta patologia é altamente evitável, nomeadamente, através da imunização contra a infeção HPV, que é a causa necessária para o desenvolvimento do cancro. A elevada prevalência da infeção em mulheres mais velhas sugere que a vacinação poderá ser uma estratégia custo-efetiva mesmo numa faixa etária superior. Para que seja racionalmente ponderada a comparticipação da vacina nestas mulheres é necessária a realização de um estudo fármaco-económico que comprove o custo-efetividade desta intervenção, já que o seu financiamento atual prevê apenas as mulheres não abrangidas pelo Programa Nacional de Vacinação, dos 18 aos 25 anos. Os objetivos do trabalho são realizar uma revisão da literatura sobre estudos de avaliação económica relativos à prevenção do CCU e avaliar a relação de custo-efetividade de vacinar mulheres contra o HPV entre os 26 e os 55 anos em comparação com a prática clínica corrente, em Portugal. É utilizado o Modelo Global Cervarix® e realiza-se uma análise de custo-utilidade e de custo-efetividade. Os resultados demonstraram que a vacinação em mulheres dos 26 aos 45 anos poderá ser uma opção custo-efetiva, permitindo um aumento de anos de vida, uma diminuição dos casos e mortes por CCU e um incremento de QALYs. O RCEI variou entre 7.914€/QALY e 29.049€/QALY com a vacinação aos 26 e aos 45 anos, respetivamente, para a alternativa de vacinação mais rastreio versus a situação atual de rastreio organizado e oportunístico, em Portugal.

Analysis and visualization of energy use for university campus

The reduction of greenhouse gas emissions is one of the big global challenges for the next decades due to its severe impact on the atmosphere that leads to a change in the climate and other environmental factors. One of the main sources of greenhouse gas is energy consumption, therefore a number of initiatives and calls for awareness and sustainability in energy use are issued among different types of institutional and organizations. The European Council adopted in 2007 energy and climate change objectives for 20% improvement until 2020. All European countries are required to use energy with more efficiency. Several steps could be conducted for energy reduction: understanding the buildings behavior through time, revealing the factors that influence the consumption, applying the right measurement for reduction and sustainability, visualizing the hidden connection between our daily habits impacts on the natural world and promoting to more sustainable life. Researchers have suggested that feedback visualization can effectively encourage conservation with energy reduction rate of 18%. Furthermore, researchers have contributed to the identification process of a set of factors which are very likely to influence consumption. Such as occupancy level, occupants behavior, environmental conditions, building thermal envelope, climate zones, etc. Nowadays, the amount of energy consumption at the university campuses are huge and it needs great effort to meet the reduction requested by European Council as well as the cost reduction. Thus, the present study was performed on the university buildings as a use case to: a. Investigate the most dynamic influence factors on energy consumption in campus; b. Implement prediction model for electricity consumption using different techniques, such as the traditional regression way and the alternative machine learning techniques; and c. Assist energy management by providing a real time energy feedback and visualization in campus for more awareness and better decision making. This methodology is implemented to the use case of University Jaume I (UJI), located in Castellon, Spain.

An analog model for global macro investing

This study proposes a systematic model that is able to fit the Global Macro Investing universe. The Analog Model tests the possibility of capturing the likelihood of an optimal investment allocation based on similarity across different periods in history. Instead of observing Macroeconomic data, the model uses financial markets’ variables to classify unknown short-term regimes. This methodology is particularly relevant considering that asset classes and investment strategies react differently to specific macro environment shifts.

Development of a global IT charging model for BASF Group

With ‘GS Strategy 2025’ BASF Business Services GmbH was formed to centrally steer all IT related topics of BASF group. Thus, a global charging system has to be designed, which complies to international transfer price regulations and the strategy of BASF SE. This work project develops a charging system with a following evaluation. The direct charging system benefits from its cost transparency upsides but comes with a higher administrative effort due to volume-based charging. In contrast, the indirect charging system convinces because of easy handling, which is the result of the application of suitable allocation keys. Regarding the complex group structure of BASF SE with more than 300 legal entities in 80 countries, the lower administrative effort of the indirect charging system outweighs the benefits of the direct charging model and should be used by BASF group.