Two-step cluster analysis of passenger mobility segmentation during the COVID-19 pandemic

V Harantová, J Mazanec, V Štefancová, J Mašek… - Mathematics, 2023 - mdpi.com
In this paper, we analyse the specific behaviour of passengers in personal transport
commuting to work or school during the COVID-19 pandemic, based on a sample of …

Conditioning factors in the spreading of Covid-19–Does geography matter?

V Vandelli, L Palandri, P Coratza, C Rizzi, A Ghinoi… - Heliyon, 2024 - cell.com
There is evidence in literature that the spread of COVID-19 can be influenced by various
geographic factors, including territorial features, climate, population density, socioeconomic …

Inference on spatiotemporal dynamics for coupled biological populations

J Li, EL Ionides, AA King… - Journal of the Royal …, 2024 - royalsocietypublishing.org
Mathematical models in ecology and epidemiology must be consistent with observed data in
order to generate reliable knowledge and evidence-based policy. Metapopulation systems …

Current forecast of COVID-19 in Mexico: A Bayesian and machine learning approaches

K Prieto - Plos one, 2022 - journals.plos.org
The COVID-19 pandemic has been widely spread and affected millions of people and
caused hundreds of deaths worldwide, especially in patients with comorbilities and COVID …

Urban pandemic vulnerability and COVID-19: A new framework to assess the impacts of global pandemics in the Metropolitan Region of Amsterdam

Y Wang, R Viseu Cardoso, C Forgaci - Sustainability, 2022 - mdpi.com
This paper presents the concept of urban pandemic vulnerability as a crucial framework for
understanding how COVID-19 affects cities and how they react to pandemics. We adapted …

An algorithm for the robust estimation of the COVID-19 pandemic's population by considering undetected individuals.

R Martinez-Guerra, JP Flores-Flores - Applied Mathematics and …, 2021 - Elsevier
Due to the current COVID-19 pandemic, much effort has been put on studying the spread of
infectious diseases to propose more adequate health politics. The most effective …

Machine Learning for Mechanistic Models of Metapopulation Dynamics

J Li, EL Ionides, AA King, M Pascual, N Ning - arXiv preprint arXiv …, 2023 - arxiv.org
Mathematical models in ecology and epidemiology must be consistent with observed data in
order to generate reliable knowledge and sound policy. Metapopulation systems, which …

Movilidad urbana y comorbilidades en la incidencia y muerte por Covid-19 en la ZMVM

G Wences, MV Chávez-Hernández - Entreciencias: diálogos en la …, 2023 - scielo.org.mx
Objetivo: Identificar y cuantificar, por una parte, el efecto de los modos de transporte en la
tasa de contagios por COVID-19 y, por otra parte, el efecto de las comorbilidades en la tasa …

Application of Random Matrix Theory With Maximum Local Overlapping Semicircles for Comorbidity Analysis

O Nolasco-Jáuregui, LA Quezada-Téllez… - Frontiers in Applied …, 2022 - frontiersin.org
In December 2019, the COVID-19 pandemic began, which has claimed the lives of millions
of people around the world. This article presents a regional analysis of COVID-19 in Mexico …

[PDF][PDF] Fatal Cyclist-car Accidents Scenarios at Intersections from the Guadalajara Metropolitan Area

RA Briseño, RM Arellano, EGC Franco… - International Journal …, 2022 - researchgate.net
Faced with the imminent high fatal cyclist-car accident rate in the Guadalajara Metropolitan
Area in recent years, it is necessary to implement mechanisms to improve the safety of …