Essays about: "Epidemic Modelling"

Showing result 1 - 5 of 7 essays containing the words Epidemic Modelling.

1. 1. Reconstructing point patterns from spatially aggregated data

   University essay from Göteborgs universitet/Institutionen för matematiska vetenskaper

   Author : Jens Michelsen; [2024-03-13]
   Keywords : lorem; ipsum; dolor; sit; amet; consectetur; adipisicing; elit; sed; do.;

   Abstract : 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. READ MORE

3. 2. Identifying municipalities most likely to contribute to an epidemic outbreak in Sweden using a human mobility network

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Alexander Bridgwater; [2021]
   Keywords : Complex networks; Influence maximization; Epidemic modelling; Human mobility; Artifcial intelligence;

   Abstract : 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. READ MORE

4. 3. Evaluation of StochSD for Epidemic Modelling, Simulation and Stochastic Analysis

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Magnus Gustafsson; [2020]
   Keywords : Continuous System Simulation; CSS; Epidemic Modelling; Full Potential CSS; SIR model; SEIR model; Stochastic Modelling; StochSD;

   Abstract : 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. READ MORE

5. 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

   University essay from Lunds universitet/Socialmedicin och global hälsa

   Author : Kushan Kumara de Silva Ranakombu; [2018]
   Keywords : prediabetes; determinants; machine learning; feature selection; NHANES; Medicine and Health Sciences;

   Abstract : 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. READ MORE

6. 5. Mathematical modeling of adrenaline-induced adiponectin secretion in white adipocytes

   University essay from Linköpings universitet/Avdelningen för medicinsk teknik

   Author : Christian Simonsson; [2018]
   Keywords : Systems Biology; Mathematical Modeling; Adiponectin; Adiponectin secretion; White Adipocytes; Adrenaline-induced adiponectin secretion;

   Abstract : 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. READ MORE