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Emerging epidemics and local infection clusters are initially prone to stochastic effects that can substantially impact the epidemic trajectory. While numerous studies are devoted to the deterministic regime of an established epidemic,…

Populations and Evolution · Quantitative Biology 2021-09-20 Peter Czuppon , Emmanuel Schertzer , François Blanquart , Florence Débarre

Towards the end of an infectious disease outbreak, when a period has elapsed without new case notifications, a key question for public health policy makers is whether the outbreak can be declared over. This requires the benefits of a…

Populations and Evolution · Quantitative Biology 2025-08-22 M. J. Plank , W. S. Hart , J. Polonsky , M. Keita , S. Ahuka-Mundeke , R. N. Thompson

The ongoing COVID-19 pandemic continues to affect communities around the world. To date, almost 6 million people have died as a consequence of COVID-19, and more than one-quarter of a billion people are estimated to have been infected…

Economic shocks due to Covid-19 were exceptional in their severity, suddenness and heterogeneity across industries. To study the upstream and downstream propagation of these industry-specific demand and supply shocks, we build a dynamic…

General Economics · Economics 2021-02-22 Anton Pichler , Marco Pangallo , R. Maria del Rio-Chanona , François Lafond , J. Doyne Farmer

The recent outbreak of a novel coronavirus (2019-nCoV) has quickly evolved into a global health crisis. The transmission potential of 2019-nCoV has been modelled and studied in several recent research works. The key factors such as the…

Populations and Evolution · Quantitative Biology 2020-02-11 Jun Li

The dynamics of contact networks and epidemics of infectious diseases often occur on comparable time scales. Ignoring one of these time scales may provide an incomplete understanding of the population dynamics of the infection process. We…

Populations and Evolution · Quantitative Biology 2021-02-09 Luis E C Rocha , Naoki Masuda

Motivated by the increasing number of COVID-19 cases that have been observed in many countries after the vaccination and relaxation of non-pharmaceutical interventions, we propose a mathematical model on time-varying networks for the spread…

Dynamical Systems · Mathematics 2022-03-09 Kathinka Frieswijk , Lorenzo Zino , Ming Cao

Worldwide exposure to fine atmospheric particles can exasperate the risk of a wide range of heart and respiratory diseases, due to their ability to penetrate deep into the lungs and blood streams. Epidemiological studies in Europe and…

Atmospheric and Oceanic Physics · Physics 2019-11-27 Parya Broomandi , Xueyu Geng , Weisi Guo , Jong Kim , Alessio Pagani , David Topping

Existing empirical work has focused on assessing the effectiveness of non-pharmaceutical interventions on human mobility to contain the spread of COVID-19. Less is known about the ways in which the COVID-19 pandemic has reshaped the spatial…

Understanding dynamics of an outbreak like that of COVID-19 is important in designing effective control measures. This study aims to develop an agent based model that compares changes in infection progression by manipulating different…

Populations and Evolution · Quantitative Biology 2021-06-24 Anik Burman , Sayak Chatterjee , Pramit Ghosh , Indranil Mukhokadhyay

COVID-19 remains a challenging global threat with ongoing waves of infections and clinical disease which have resulted millions of deaths and an enormous strain on health systems worldwide. Effective vaccines have been developed for the…

The co-occurrence of multiple long-term conditions (MLTC), or multimorbidity, in an individual can reduce their lifespan and severely impact their quality of life. Exploring the longitudinal patterns, e.g. clusters, of disease accrual can…

Motivated by massive outbreaks of COVID-19 that occurred even in populations with high vaccine uptake, we propose a novel multi-population temporal network model for the spread of recurrent epidemic diseases. We study the effect of human…

Dynamical Systems · Mathematics 2022-09-19 Kathinka Frieswijk , Lorenzo Zino , Ming Cao

Global strategies to contain a pandemic, such as social distancing and protective measures, are designed to reduce the overall transmission rate between individuals. Despite such measures, essential institutions, including hospitals,…

Populations and Evolution · Quantitative Biology 2022-09-07 Roberto Morán-Tovar , Henning Gruell , Florian Klein , Michael Lässig

The COVID-19 pandemic has, worldwide and up to December 2020, caused over 1.7 million deaths, and put the world's most advanced healthcare systems under heavy stress. In many countries, drastic restrictive measures adopted by political…

Signal Processing · Electrical Eng. & Systems 2023-01-18 Giovanni Soldi , Nicola Forti , Domenico Gaglione , Paolo Braca , Leonardo M. Millefiori , Stefano Marano , Peter Willett , Krishna Pattipati

This paper proposes a novel approach to predict epidemiological parameters by integrating new real-time signals from various sources of information, such as novel social media-based population density maps and Air Quality data. We implement…

Machine Learning · Computer Science 2023-07-04 Romain Molinas , César Quilodrán Casas , Rossella Arcucci , Ovidiu Şerban

Infodemics are a threat to public health, arising from multiple interacting phenomena occurring both online and offline. The continuous feedback loops between the digital information ecosystem and offline contingencies make infodemics…

Social and Information Networks · Computer Science 2025-02-03 Edoardo Loru , Marco Delmastro , Francesco Gesualdo , Matteo Cinelli

Infectious diseases occur when pathogens from other individuals or animals infect a person, resulting in harm to both individuals and society as a whole. The outbreak of such diseases can pose a significant threat to human health. However,…

Populations and Evolution · Quantitative Biology 2024-10-24 Ghazaleh Babanejaddehaki , Aijun An , Manos Papagelis

On the 23rd March 2020, the UK entered a period of lockdown in the face of a deadly pandemic. While some were unable to work from home, many organisations were forced to move their activities online. Here, we discuss the technologies they…

Computers and Society · Computer Science 2020-06-22 Karen Renaud , Paul van Schaik , Alastair Irons , Sara Wilford

Indirect surveys, in which respondents provide information about other people they know, have been proposed for estimating (nowcasting) the size of a \emph{hidden population} where privacy is important or the hidden population is hard to…

Social and Information Networks · Computer Science 2023-12-15 Ajitesh Srivastava , Juan Marcos Ramírez , Sergio Díaz-Aranda , Jose Aguilar , Antonio Ortega , Antonio Fernández Anta , Rosa Elvira Lillo