Sökning: "SIR model"
Visar resultat 6 - 10 av 21 uppsatser innehållade orden SIR model.
6. Automatic Development of Pharmacokinetic Structural Models
Master-uppsats, Uppsala universitet/Institutionen för farmaciSammanfattning : Introduction: The current development strategy of population pharmacokinetic models is a complex and iterative process that is manually performed by modellers. Such a strategy is time-demanding, subjective, and dependent on the modellers’ experience. LÄS MER
7. Leachate-Based Biotic Ligand Model for Soil : Ecotoxicological Risk Assessment of Copper for Invertebrates, Plants, and Soil Microbial Processes
Master-uppsats, KTH/Hållbar utveckling, miljövetenskap och teknikSammanfattning : Environmental pollution of heavy metals has become an increasing problem. Environmental risk assessments can be conducted to investigate and determine the potential risk of polluted terrestrial environments. Traditionally, risk assessments are based on total soil metal concentrations on a dry weight basis. LÄS MER
8. Adaptive SIR-models’ Ability to Both Estimate the Reproduction Number and Forecast the Future Spread of Covid-19 in Sweden
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In outbreaks like the Covid-19 pandemic, mathematical models can be used to estimate various epidemiological parameters which model the evolution of the disease. A popular model that is used by Folkhälsomyndigheten (FHM) for estimating the effective reproduction number (Rt) has the shortcoming that it cannot simultaneously forecast the future number of cases. LÄS MER
9. HMM modelling for the spread of the SARS–CoV–2
Master-uppsats, Linköpings universitet/Statistik och maskininlärningSammanfattning : The aim of the project is to develop an HMM for the current spread of the SARS–CoV–2 virus. The HMM could be coupled with a SIR+ based compartmental model for the different types of statistics — confirmed cases, hospitalizations, deaths. LÄS MER
10. Different compartmental models’ sensitivities to uncertain parameters
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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