Sökning: "Epidemic Modelling"
Visar resultat 1 - 5 av 7 uppsatser innehållade orden Epidemic Modelling.
1. Reconstructing point patterns from spatially aggregated data
Master-uppsats, Göteborgs universitet/Institutionen för matematiska vetenskaperSammanfattning : In this thesis we explore the ability to reconstruct samples (point configurations) from a point process, based only on the information contained in spatially aggregated data, namely the number of points in the partitions of a larger region. The ability to reconstruct a point configuration, in such a way that it retains most of it’s statistical properties, could be useful in cases where one is faced with a mixed dataset; some regions containing the full point configuration data, while other regions only contain aggregated data, i. LÄS MER
2. Identifying municipalities most likely to contribute to an epidemic outbreak in Sweden using a human mobility network
Kandidat-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknikSammanfattning : The importance of modelling the spreading of infectious diseases as part of a public health strategy has been highlighted by the ongoing coronavirus pandemic. This includes identifying the geographical areas or travel routes most likely to contribute to the spreading of an outbreak. LÄS MER
3. Evaluation of StochSD for Epidemic Modelling, Simulation and Stochastic Analysis
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Classical Continuous System Simulation (CSS) is restricted to modelling continuous flows, and therefore, cannot correctly realise a conceptual model with discrete objects. The development of Full Potential CSS solves this problem by (1) handling discrete quantities as discrete and continuous matter as continuous, (2) preserving the sojourn time distribution of a stage, (3) implementing attributes correctly, and (4) describing different types of uncertainties in a proper way. LÄS MER
4. Predictive modelling using a nationally representative database to identify the determinants of prediabetes; a machine learning analytic approach on the National Health and Nutrition Examination Survey (NHANES) 2013-2014
Master-uppsats, Lunds universitet/Socialmedicin och global hälsaSammanfattning : ABSTRACT Background: Prediabetes is a global epidemic with rising prevalence rates, but its diagnosis based on traditional risk factors is challenging. Application of novel machine-intelligence based methods to public health databases could provide valuable insights into the disease process. LÄS MER
5. Mathematical modeling of adrenaline-induced adiponectin secretion in white adipocytes
Master-uppsats, Linköpings universitet/Avdelningen för medicinsk teknikSammanfattning : There is an ongoing worldwide obesity epidemic. As a consequence, prevalence of obesity- related diseases and conditions are rapidly increasing. One of these related conditions is type 2 diabetes (T2D), which alone caused 1.5 million deaths in 2012. LÄS MER