Modelling Covid-19 in Delft using epidemiological models and Markov Chain Monte Carlo

The spread of Covid-19 is modelled in this Bachelor thesis. This is done using two compartmental epidemiological models: the SIR-model and SIRS-model. These models divide the population into three groups, namely Susceptible, Infected and Recovered. Artificial data is generated based on the stochastic version of the models. The models are applied...

Kallisto Repurposed: Using sequencing reads from the spike, nucleocapsid, and a middle region of nsp3 in the kallisto pipeline to better predict SARS-CoV-2 variants in wastewater

During a viral infection, we expel remnants of the virus. This makes it possible to conduct wastewater analysis which aid in the efforts to track the evolution of the current Covid-19 pandemic. It has been shown that by repurposing the kallisto algorithm, the abundance of SARS-CoV-2 variants in wastewater samples can be estimated. Since this is...

SARS-CoV-2 lineage abundance quantification in wastewater: a benchmark study for the identification of optimal reference set design

Lineage abundance estimation of SARS-CoV-2 in wastewater is a technique that aims to monitor the lineage prevalence in communities and help contain the COVID-19 pandemic. Lineages are collections of closely related mutants of a virus. It is suggested that the genome sequences of lineages differ across the globe due to random mutations or...

Financial Stock Market Modeling and the COVID-19 crisis: Has COVID-19 structurally changed the dynamics of the stock market?

The COVID-19 crisis heavily affected financial stock markets. In March 2020 stock prices dropped immensely and markets became extremely volatile. In this report we model three European stock markets before and during the COVID-19 crisis to determine whether the dynamics of financial markets changed structurally compared to previous periods....

A Spatial Markov Chain Cellular Automata Model for the Spread of the COVID-19 virus: Including parameter estimation

In this bachelor thesis we propose a spatial Markov Chain Cellular Automata<br/>model for the spread of the COVID-19 virus as well as two methods for parameter<br/>estimation. Network topologies are used to model the progression of the epidemic<br/>by considering each individual on a grid and using stochastic principles to determine the...

Smart Personal Protective Equipment: On-Board Power Management

The COVID-19 pandemic caused a shortage of Personal Protective Equipment for Healthcare personnel. This project aims to aid in this shortage by extending the lifetime of the filter material used in a mask. This is done in the form of an SPPE, a Smart Personal Protective Equipment. This face mask has two smart filter heads that are modular and...

Smart Personal Protective Equipment: Sensing and Control: The future of face masks

The current COVID-19 pandemic shows the necessity of personal protective equipment and face masks. In the project, a filter module with an in-situ ultraviolet-sterilization technique is designed that can serve as a new kind of smart personal protective equipment (SPPE). This technique is not used in wearable devices as of yet. The project thus...

Public Transport during coronavirus outbreak: A research of measures taken in Dutch and international PT

In 2019 a virus surfaced in China that would later cause a pandemic: the coronavirus. Across the world measures were taken to reduce the spread of the virus. Public Transport (PT) had a unique position, being both an essential service and a place where the virus can easily be spread. This research investigates the measures taken in PT in the...