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200 papers

Contact tracing and quarantine programs have been one of the leading Non-Pharmaceutical Interventions against COVID-19. Some governments have relied on mandatory programs, whereas others embrace a voluntary approach. However, there is…

General Economics · Economics 2022-09-13 Darija Barak , Edoardo Gallo , Alastair Langtry

A clear linear correlation of covid-19 surge date with country latitude was observed last autumn 2020, but not with temperature, nor with humidity, pointing the seasonal vitamin D status decline as a contributor factor. Well vaccinated…

Physics and Society · Physics 2021-11-08 Stephan Walrand

This study aims to statistically assess the effectiveness of vaccination against SARS-CoV-2. It is indispensable to investigate the relationship between Covid-19 deadliness and vaccination in order to study the impact of vaccine in…

Quantitative Methods · Quantitative Biology 2022-02-04 MD. Rayhan , M. Abdullah-Al-Wadud , M. Helal Uddin Ahmed

The question of why we age is a fundamental one. It is about who we are, and it also might have critical practical aspects as we try to find ways to age slower. Or to not age at all. Different reasons point at distinct strategies for the…

Populations and Evolution · Quantitative Biology 2020-11-10 André C. R. Martins

During the COVID-19 pandemic, governments faced the challenge of managing population behavior to prevent their healthcare systems from collapsing. Sweden adopted a strategy centered on voluntary sanitary recommendations while Belgium…

Econometrics · Economics 2024-01-17 Tijs W. Alleman , Jan M. Baetens

We study the effectiveness of randomizing split-directions in random forests. Prior literature has shown that, on the one hand, randomization can reduce variance through decorrelation, and, on the other hand, randomization regularizes and…

Machine Learning · Statistics 2025-04-18 C. Revelas , O. Boldea , B. J. M. Werker

Clinical trials of a vaccine during an epidemic face particular challenges, such as the pressure to identify an effective vaccine quickly to control the epidemic, and the effect that time-space-varying infection incidence has on the power…

Populations and Evolution · Quantitative Biology 2021-05-21 Rob Johnson , Chris Jackson , Anne Presanis , Sofia S. Villar , Daniela De Angelis

The decision of whether or not to vaccinate is a complex one. It involves the contribution both to a social good -- herd immunity -- and to one's own well being. It is informed by social influence, personal experience, education, and mass…

Populations and Evolution · Quantitative Biology 2022-02-15 Soya Miyoshi , Marko Jusup , Petter Holme

In dynamic settings each economic agent's choices can be revealing of her private information. This elicitation via the rationalization of observable behavior depends each agent's perception of which payoff-relevant contingencies other…

Theoretical Economics · Economics 2021-05-17 Evan Piermont , Peio Zuazo-Garin

When a new product or technology is introduced, potential consumers can learn its quality by trying the product, at a risk, or by letting others try it and free-riding on the information that they generate. We propose a dynamic game to…

Economics · Quantitative Finance 2017-06-27 Matt V. Leduc , Matthew O. Jackson , Ramesh Johari

We propose a multi-layer network model for the spread of COVID-19 that accounts for interactions within the family, between schoolmates, and casual contacts in the population. We utilize the proposed model-calibrated on epidemiological and…

Physics and Society · Physics 2021-03-24 Christian Bongiorno , Lorenzo Zino

This study investigates the causal effects of open-water swim drafting by leveraging a natural experiment induced by staggered race starts during the COVID-19 pandemic. Before 2020, athletes started in groups, enabling drafting benefits,…

General Economics · Economics 2025-11-12 Felix Reichel

Optimization of vaccine allocations among different segments of a heterogeneous population is important for enhancing the effectiveness of vaccination campaigns in reducing the burden of epidemics. Intuitively, it would seem that…

Quantitative Methods · Quantitative Biology 2022-12-01 Nir Gavish , Guy Katriel

The initial period of vaccination shows strong heterogeneity between countries' vaccinations rollout, both in the terms of the start of the vaccination process and in the dynamics of the number of people that are vaccinated. A predominant…

General Economics · Economics 2021-03-09 Dragan Tevdovski , Petar Jolakoski , Viktor Stojkoski

For a real-world decision-making problem, the reward function often needs to be engineered or learned. A popular approach is to utilize human feedback to learn a reward function for training. The most straightforward way to do so is to ask…

Machine Learning · Computer Science 2023-10-31 Xiang Ji , Huazheng Wang , Minshuo Chen , Tuo Zhao , Mengdi Wang

We aim at clarifying the controversy about the effects of school openings or closures on the course of the Covid-19 pandemic. The mathematical analysis of compartmental models with subpopulations shows that the in-school contact rates…

Physics and Society · Physics 2021-04-14 Alberto Gandolfi , Andrea Aspri , Elena Beretta , Khola Jamshad , Muyan Jiang

With resurgent interest in individual differences in perception, cognition and behavioural control, as early indicators of disease, endophenotypes, or a means to relate brain structure to function, behavioural tasks are increasingly being…

Neurons and Cognition · Quantitative Biology 2013-09-16 Frederic Boy , Petroc Sumner

Vaccination campaigns have saved thousands of lives, reaching the farthest places in the world. These campaigns have required substantial investments and accurate coordination between several actors within the vaccine supply chain. Despite…

Infants explore their complex physical and social environment in an organized way. To gain insight into what intrinsic motivations may help structure this exploration, we create a virtual infant agent and place it in a…

Machine Learning · Computer Science 2023-05-24 Chris Doyle , Sarah Shader , Michelle Lau , Megumi Sano , Daniel L. K. Yamins , Nick Haber

We present a scalable, AI-powered system that identifies and extracts evidence-based behavioral nudges from unstructured biomedical literature. Nudges are subtle, non-coercive interventions that influence behavior without limiting choice,…