Results 71 to 80 of about 392,335 (195)

Harnessing Human Mobility Data for Applied Economic Research: Current Knowledge, Challenges, and Emerging Opportunities

open access: yesJournal of Economic Surveys, EarlyView.
ABSTRACT This paper reviews how large‐scale mobility data can enhance economic analyses, highlighting its contributions to understanding travel behavior, labor markets, social interactions, and health outcomes. We discuss its advantages over traditional mobility data sources, which include real‐time location information and fine spatial resolution ...
Cristina Connolly   +3 more
wiley   +1 more source

Modeling Airborne Influenza in Three Dimensions

open access: yesEngineering Reports, Volume 8, Issue 3, March 2026.
A novel 3D fluid dynamics model demonstrates how influenza outbreaks spread spatially via “epidemic flow.” Simulations reveal that direct contact is the dominant transmission route over aerosol spread, offering a new tool to inform targeted public health interventions and spatially‐aware risk assessment.
Daniel Ugochukwu Nnaji   +4 more
wiley   +1 more source

Disease control as an optimization problem.

open access: yesPLoS ONE, 2021
In the context of epidemiology, policies for disease control are often devised through a mixture of intuition and brute-force, whereby the set of logically conceivable policies is narrowed down to a small family described by a few parameters, following ...
Miguel Navascués   +2 more
doaj   +1 more source

A data-driven semi-parametric model of SARS-CoV-2 transmission in the United States.

open access: yesPLoS Computational Biology, 2023
To support decision-making and policy for managing epidemics of emerging pathogens, we present a model for inference and scenario analysis of SARS-CoV-2 transmission in the USA.
John M Drake   +6 more
doaj   +1 more source

Methods Based on Polynomial Chaos for Quadratic Delay Differential Equations With Random Parameters

open access: yesProceedings in Applied Mathematics and Mechanics, Volume 26, Issue 1, March 2026.
ABSTRACT We consider systems of delay differential equations (DDEs), including a single delay and a quadratic right‐hand side. In a system, parameters are replaced by random variables to perform an uncertainty quantification. Thus the solution of the DDEs becomes a random process, which can be represented by a series of the generalised polynomial chaos.
Roland Pulch
wiley   +1 more source

Equitable bivalent booster allocation strategies against emerging SARS-CoV-2 variants in US cities with large Hispanic communities: The case of El Paso County, Texas

open access: yesInfectious Disease Modelling, 2023
COVID-19 is a disease that disproportionately impacts the Hispanic population, due to the prevalence of certain risk factors and the high number of essential workers in this community.
Francis Owusu-Dampare, Anass Bouchnita
doaj   +1 more source

Multi-population stochastic modeling of Ebola in Sierra Leone: Investigation of spatial heterogeneity.

open access: yesPLoS ONE, 2021
A major outbreak of the Ebola virus occurred in 2014 in Sierra Leone. We investigate the spatial heterogeneity of the outbreak among districts in Sierra Leone.
Rachid Muleia, Marc Aerts, Christel Faes
doaj   +1 more source

COVID-19: Analytics of contagion on inhomogeneous random social networks

open access: yesInfectious Disease Modelling, 2021
Motivated by the need for robust models of the Covid-19 epidemic that adequately reflect the extreme heterogeneity of humans and society, this paper presents a novel framework that treats a population of N individuals as an inhomogeneous random social ...
T.R. Hurd
doaj   +1 more source

Modifying the Network-Based Stochastic SEIR Model to Account for Quarantine

open access: yes, 2020
In this article, we present a modification to the network-based stochastic SEIR epidemic model which allows for modifications to the underlying contact network to account for the effects of quarantine. We also discuss the changes needed to the model to incorporate situations where some proportion of the individuals who are infected remain asymptomatic ...
Groendyke, Chris, Combs, Adam
openaire   +2 more sources

Forecasting Influenza Epidemics and Pandemics in the Age of AI and Machine Learning

open access: yesReviews in Medical Virology, Volume 36, Issue 1, January 2026.
ABSTRACT Influenza's rapid evolution, driven by its segmented RNA genome, high mutation rate, and extensive animal reservoirs, underpins its capacity to cause recurring epidemics and unpredictable pandemics. Recent advances in artificial intelligence (AI) and machine learning (ML) are transforming influenza forecasting by enabling the prediction of ...
Oleksandr Kamyshnyi   +5 more
wiley   +1 more source

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