Sökning: "Compartmental Models"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden Compartmental Models.

  1. 1. Investigating the Estimation of the infection rate and the fraction of infections leading to death in epidemiological simulation

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

    Författare :Jakob Gölén; [2023]
    Nyckelord :Epidemics; Compartmental Models; Parameter Inference; Synthetic Bootstrap; Infection Rate;

    Sammanfattning : The main goal of this project is to investigate the behaviors of parameters used when modeling an epidemic. A stochastic SIHDRe model is used to simulate how an epidemic evolves over time. LÄS MER

  3. 2. A Physics-Informed Deep Learning Framework for Solving Inverse Problems in Epidemiology

    Master-uppsats, KTH/Optimeringslära och systemteori

    Författare :Magnus Tronstad; [2022]
    Nyckelord :;

    Sammanfattning : This thesis develops and evaluates a physics-informed neural network (PINN) modelling framework for solving inverse problems in epidemiology. The PINN works by modifying the standard mean squared error loss function of the neural network, by adding a term penalizing deviations from a given compartmental model's system of ordinary differential equations. LÄS MER

  4. 3. Quantification of cerebral blood flow with 15O-water PET : A comparison study between PET/CT and PET/MR and two different blood sampling instruments

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik; Umeå universitet/Diagnostisk radiologi

    Författare :Amanda Eriksson; [2021]
    Nyckelord :Cerebral Blood Flow; CBF; oxygen-15-labelled water; PET CT; PET MR; Quantification of CBF; Image Derived Input Function; IDIF; Blood Sampled Input Function; BSIF; Arterial Input Function; AIF; Tracer Kinetic Modelling; Single Tissue Compartmental Model; 1TCM;

    Sammanfattning : Cerebral blood flow quantification is a vital diagnostic tool for disease monitoring and used for diagnosing a variation of pathological conditions. The human brain requires roughly about 20 % of the total cardiac output to sustain normal functioning, hence the perfusion of blood is an important factor to deliver oxygenated blood. LÄS MER

  5. 4. Spatiotemporal Fidelity of a Metapopulational Model Evaluated on the COVID-19 Pandemic in Sweden

    Kandidat-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Författare :Filip Skogh; [2021]
    Nyckelord :Epidemiology; COVID-19; Sweden; Metapopulation; SEIR; Model;

    Sammanfattning : A modified SEIR compartmental model is constructed for COVID-19 in a metapopulational setting with fine-scaled population data. The model is stochastically simulated with GLEAMviz that provides realistic short and long distance mobility based on real-world data. LÄS MER

  7. 5. Different compartmental models’ sensitivities to uncertain parameters

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Albin Andreasson; Robert Mellberg; [2021]
    Nyckelord :;

    Sammanfattning : When Covid-19 was discovered, a lot of models were created to try and predict the spread of the disease. One problem with these models is that the knowledge of the virus was sparse in the beginning, making it harder to model it. LÄS MER