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Mironov, Stas (author)
A network, is defined as a collection of nodes interconnected by links. When this topology changes through time, we call it a temporal network. A specific class of networks, with only two types of nodes with no connections between one kind, is the bipartite network. An example is a telecommunications network, where nodes represent...
master thesis 2024
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de Haan, Naomi (author)
The development of the global COVID-19 pandemic from 2020 onward has had significant impact on the world and specifically the maritime industry. Striking examples were COVID-19 outbreaks onboard the Diamond Princess cruise vessel and the U.S.S. Theodore Roosevelt aircraft carrier at the start of the pandemic. Contagious disease management...
master thesis 2024
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de Bruin, Douwe (author)
This thesis investigates the unprecedented labour market tension in the Netherlands post-2021, by analyzing the core drivers behind the labour market. A framework based on labour demand and supply is made in order to study the key drivers of the labour market. Through quantitative analysis it is found that the labour market tension after 2021 is...
master thesis 2023
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Croft, Maxime (author)
This paper presents a novel approach to regional forecasting of SARS-Cov-2 infections one week ahead, which involves developing a municipality level COVID-19 dataset of the Netherlands and using a spatio-temporal graph neural network (GNN) to predict the number of infections. The developed model captures the spread of infectious diseases within...
master thesis 2023
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van Tol, Thomas (author)
The COVID-19 pandemic has changed travel behaviour and mobility in the Netherlands. It is questioned if the mobility system is subject to long-lasting change in the near and distant future. This study aims to observe the development of mobility impacts over time with a quantitative approach.<br/><br/>Current traditional transport models have...
master thesis 2022
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Bickel, Julia (author)
The aim of this study is to capture heterogeneity in travel behaviour during unplanned train disruptions focusing on the rise of teleworking due to the COVID-19 pandemic to improve train services and help predict passenger flows during disruptions. To perform the analyses, a dataset is elicited from 815 Dutch train commuters by distributing an...
master thesis 2022
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Banda, Sercinho (author)
In India the COVID-19 pandemic resulted in a nationwide lockdown from March 25, 2020 till the end of May 2020. During this time public and private transportation activities were limited, economic activities came to a standstill and healthcare resources were redistributed. India’s healthcare system faced problems prior to the COVID-19 pandemic...
master thesis 2022
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Deijkers, Emma (author)
COVID-19 has had a great impact worldwide. One of its many effects was that offices had to be closed, which negatively affects the economy and people’s mental health. It is important that a safe way to keep offices open is found. Non-Pharmaceutical Interventions (NPIs) are an important way to do this. However, to pick the right NPIs for one’s...
master thesis 2022
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Stikkers, Anastasia (author)
This thesis provides knowledge on factors affecting the representativeness of wastewater-based epidemiology (WBE) for monitoring the SARS-CoV-2 virus. The application of WBE to monitor health parameters has become essential due to the COVID-19 outbreak in March 2020. WBE is a well-known method to track the SARS-CoV-2 virus in wastewater and is...
master thesis 2022
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Brimaire, Jil (author)
The Dutch Ministry of Infrastructure and Water Management is committed to enhancing the accessibility and sustainability of the Dutch mobility system. Working from home (WFH) has been discussed as a policy lever to decrease commute travel and, thereby, congestion for decades. During the COVID-19 pandemic, this discussion regained momentum. WFH...
master thesis 2022
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Bergen, Willemijn (author)
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...
bachelor thesis 2022
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Visser, Jeffrey (author)
<b>Background</b>: The prevention of ventilator-induced lung injury (VILI) is an important topic in criticalcare. Lung overdistention is a great attributor to VILI. Regional evaluation of the pulmonary mechanicsis a relatively new method and is currently being studied using electrical impedance tomography (EIT)and computed tomography (CT)....
master thesis 2022
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Villena Gonzales, Roberto (author)
The COVID-19 pandemic has changed people's lives in greater or lesser degree since the outbreak back in December 2019 in Wuhan, China. Due to the high transmissibility of the virus and with the aim of preventing the virus from continue spreading, several measures have been applied during the last two years, which now have become part of people's...
master thesis 2022
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Cheng, Ziyao (author)
The influence of the COVID-19 pandemic is profound and enduring to the entire world. A ‘recovery’ to go back in time is unlikely to happen due to the lack of uncertainty in the future. The darkest time will eventually pass, whereas post-pandemic, the era in which the pandemic is perceived to have subsided, can still accelerate existing trends...
master thesis 2022
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Dirkzwager, Herman (author)
Research into the bidirectional relationships between travel behaviour, attitude and risk perception during the COVID-19 pandemic. Using travel data obtained by the NS Panel, a cross-lagged panel model is constructed to analyse the causation in the three predictors for car and train travel.
master thesis 2021
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Wang, Xinyi (author)
The COVID-19 global pandemic has a great negative influence on the event industry. Decreasing number of festivals poses threats to cultural and economical development. This research aims to close this research gap by developing a SARS-CoV-2 transmission risk analysis method for large events by modelling crowd interactions at different types of...
master thesis 2021
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Tsang, Daniel (author)
In this thesis, we present a study to obtain a clear and accurate overview of the progress and behaviour of COVID-19 in the Netherlands. We distinguish two parts for this study. The first part is to estimate the total number of infected people as a function of time by combining data from hospital admissions, daily reported cases and serological...
master thesis 2021
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Krom, Johan Klaas (author), Wilkesmann, Florian (author), MONTES ROJAS, ALEJANDRO (author), Zhang, Ziru (author), Bhatt, Reddhi Uday (author)
The COVID-19 pandemic has had a substantial impact on public transportation. With ridership figures decreasing, it has brought a new sense of urgency to the old problem of crowding. Using a structured design approach, this paper presents the results of a project which set out to reduce crowding in Dutch train stations by<br/>absorbing it at the...
student report 2021
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Wilbrink, Felix (author)
Since the outbreak of COVID-19, far-reaching measures were introduced to isolate people and reduce the chance of transmission among people. In the Rohingya refugee camps in Bangladesh, the camps were locked down for months. As a result, economic dependencies between the refugees and host communities which were built in previous decades were cut...
master thesis 2021
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Stella Mulia, Stella (author)
The absence of medicines to cure COVID-19 calls for preventive strategies, including mask-wearing. Despite its protection against exposure to coronavirus, not everyone chooses to wear a mask. Some studies addressed mask-wearing behaviour from the standpoint of behavioural economics, one being the effect of herding behaviour. This occurs when...
master thesis 2021
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