Searched for: subject%3A%22Epidemics%22
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Brouwer, Annemieke (author)
Responding rapidly to epidemic outbreaks presents significant challenges, due to resource, capacity and time limitations. Anticipatory Action (AA) is a newly emerging strategy in the field of humanitarian aid, designed to preemptively address potential crises. By taking impact-reducing actions before a disaster strikes, AA seeks to minimize...
master thesis 2024
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Lu, Zehao (author), Wang, Shihan (author), Ren, Xiao Long (author), Costas, Rodrigo (author), Metze, T.A.P. (author)
Numerous research efforts have centered on identifying the most influential players in networked social systems. This problem is immensely crucial in the research of complex networks. Most existing techniques either model social dynamics on static networks only and ignore the underlying time-serial nature or model the social interactions as...
conference paper 2024
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Wang, Haoyuan (author)
The basic reproductive number (R0) of an infectious disease is the expected number of secondary cases infected by the first case in an otherwise susceptible population. In this thesis, based on this fundamental concept, we propose a new method: the IIN-TN method that could calculate R0 of a network from the local structure of the network under...
master thesis 2023
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Naik, Harit (author)
These days the goals of urban and territorial transformation are being tailored to make cities safer, healthier, and more centered on people in both developed and developing countries worldwide. While being an integral part of urban fabric from ages, public health agendas were traditionally treated as standalone from other policy areas....
student report 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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Achterberg, M.A. (author), Sensi, M. (author)
The interplay between disease spreading and personal risk perception is of key importance for modelling the spread of infectious diseases. We propose a planar system of ordinary differential equations (ODEs) to describe the co-evolution of a spreading phenomenon and the average link density in the personal contact network. Contrary to...
journal article 2023
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van Herpen, Maarten M.J.W. (author), Saadah, Nicholas H. (author), Otieno, Pieter (author), Kiara, Lemmy (author), Diehl, J.C. (author)
Disease surveillance is essential to enable adequate detection and response to disease outbreaks. Syndromic surveillance is used to augment traditional approaches, especially in community-based surveillance. Here we demonstrate that Community Healthcare Workers (CHWs) supported by a mobile phone application can provide community-based syndromic...
journal article 2023
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Croft, V.M. (author), van Iersel, Senna C. J. L. (author), Della Santina, C. (author)
The spread of an epidemic over a population is influenced by a multitude of factors having both spatial and temporal nature, which are hard to completely capture using first principle methods. This paper concerns regional forecasting of SARS-Cov-2 infections 1 week ahead using machine learning. We especially focus on the Dutch case study for...
journal article 2023
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Millán, Ana P. (author), van Straaten, Elisabeth C. W. (author), Stam, Cornelis J. (author), Nissen, Ida A. (author), Idema, Sander (author), Baayen, Johannes C. (author), Van Mieghem, P.F.A. (author), Hillebrand, Arjan (author)
Epilepsy surgery is the treatment of choice for drug-resistant epilepsy patients, but only leads to seizure freedom for roughly two in three patients. To address this problem, we designed a patient-specific epilepsy surgery model combining large-scale magnetoencephalography (MEG) brain networks with an epidemic spreading model. This simple...
journal article 2023
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Zou, L. (author), Zhan, Xiu xiu (author), Sun, Jie (author), Hanjalic, A. (author), Wang, H. (author)
Temporal networks refer to networks like physical contact networks whose topology changes over time. Predicting future temporal network is crucial e.g., to forecast the epidemics. Existing prediction methods are either relatively accurate but black-box, or white-box but less accurate. The lack of interpretable and accurate prediction methods...
journal article 2022
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Zhang, S. (author), Zhao, Xunyi (author), Wang, H. (author)
Progress has been made in how to suppress epidemic spreading on temporal networks via blocking all contacts of targeted nodes or node pairs. In this work, we develop contact blocking strategies that remove a fraction of contacts from a temporal (time evolving) human contact network to mitigate the spread of a Susceptible-Infected-Recovered...
journal article 2022
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Tomy, Abhishek (author), Razzanelli, Matteo (author), Di Lauro, Francesco (author), Rus, Daniela (author), Della Santina, C. (author)
When an epidemic spreads into a population, it is often impractical or impossible to continuously monitor all subjects involved. As an alternative, we propose using algorithmic solutions that can infer the state of the whole population from a limited number of measures. We analyze the capability of deep neural networks to solve this...
journal article 2022
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Paulus, D. (author), Fathi, Ramian (author), Fiedrich, Frank (author), van de Walle, B.A. (author), Comes, M. (author)
Humanitarian crises, such as the 2014 West Africa Ebola epidemic, challenge information management and thereby threaten the digital resilience of the responding organizations. Crisis information management (CIM) is characterised by the urgency to respond despite the uncertainty of the situation. Coupled with high stakes, limited resources and a...
journal article 2022
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Ma, L. (author)
Complex systems are made up of many interconnected components. The interactions between components further produce emerging complex collective behaviors. In most cases, a complex system can be represented as a network in which the nodes represent the elements and the connected links illustrate the interactions. The spreading process is one of...
doctoral thesis 2021
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Gan, Tian (author)
The spreading process of diseases has been an important research topic for many years. It has profound effects on the development of human social behaviors. The underlying social network structure may change when individuals change their connection with other individuals in response to the epidemic. The classic susceptible-infected-susceptible ...
master thesis 2021
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Chang, Brian (author)
This thesis consists of two parts which are connected by the central theme of epidemics. In the first part, a website is designed for forecasting the number of cases of COVID-19 in the Netherlands. The forecasting is performed using the Network-Inference-Based Prediction Algorithm (NIPA). The first part of the thesis documents the design process...
master thesis 2021
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Prasse, B. (author)
The field of epidemiology encompasses a broad class of spreading phenomena, ranging from the seasonal influenza and the dissemination of fake news on online social media to the spread of neural activity over a synaptic network. The propagation of viruses, fake news and neural activity relies on the contact between individuals, social media...
doctoral thesis 2021
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ZHANG, Yifei (author)
This article takes the perspective of the materiality of mourning to research and discuss the development of mourning and the restrictions on the methods of mourning during the COVID-19 period as well as some possible approaches to address them. Through a definitional and historical approach, this article argues that the materiality of mourning...
student report 2021
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Zhao, Xunyi (author), Wang, H. (author)
In this paper, we aim to effectively suppress the spread of epidemic/information via blocking/removing a given fraction of the contacts in a temporal (time evolving) human contact network. We consider the SI (Susceptible- Infected) spreading process, on a temporal contact network to illustrate our methodology: an infected node infects a...
conference paper 2021
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Lu, Jenny (author)
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...
bachelor thesis 2020
Searched for: subject%3A%22Epidemics%22
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