Zobrazeno 1 - 10
of 5 876
pro vyhledávání: '"epidemic modeling"'
Stochastic infectious disease models capture uncertainty in public health outcomes and have become increasingly popular in epidemiological practice. However, calibrating these models to observed data is challenging with existing methods for parameter
Externí odkaz:
http://arxiv.org/abs/2412.12967
EpiLearn is a Python toolkit developed for modeling, simulating, and analyzing epidemic data. Although there exist several packages that also deal with epidemic modeling, they are often restricted to mechanistic models or traditional statistical tool
Externí odkaz:
http://arxiv.org/abs/2406.06016
This essay reviews some key concepts in mathematical epidemiology and examines the intersection of this field with related scientific disciplines, such as chemical reaction network theory and Lagrange-Hamilton geometry. Through a synthesis of theoret
Externí odkaz:
http://arxiv.org/abs/2406.03269
Autor:
Tahir, Hassan1 (AUTHOR), Din, Anwarud2 (AUTHOR), Shah, Kamal3,4 (AUTHOR), Abdalla, Bahaaeldin3 (AUTHOR), Abdeljawad, Thabet3,5,6,7 (AUTHOR) tabdeljawad@psu.edu.sa
Publikováno v:
Mathematical & Computer Modelling of Dynamical Systems. Dec2024, Vol. 30 Issue 1, p658-682. 25p.
Autor:
Mayemba, Christian N., Nkashama, D'Jeff K., Tshimula, Jean Marie, Dialufuma, Maximilien V., Muabila, Jean Tshibangu, Didier, Mbuyi Mukendi, Kanda, Hugues, Galekwa, René Manassé, Fita, Heber Dibwe, Mundele, Serge, Kalala, Kalonji, Ilunga, Aristarque, Ntobo, Lambert Mukendi, Muteba, Dominique, Abedi, Aaron Aruna
This paper provides a comprehensive survey of recent advancements in leveraging machine learning techniques, particularly Transformer models, for predicting human mobility patterns during epidemics. Understanding how people move during epidemics is e
Externí odkaz:
http://arxiv.org/abs/2404.16921
Since the onset of the COVID-19 pandemic, there has been a growing interest in studying epidemiological models. Traditional mechanistic models mathematically describe the transmission mechanisms of infectious diseases. However, they often suffer from
Externí odkaz:
http://arxiv.org/abs/2403.19852
Publikováno v:
Fuzzy Information and Engineering, Vol 16, Iss 2, Pp 144-154 (2024)
This paper explores the synergy between fuzzy set theory and genetic algorithms in the domain of epidemic modeling, shedding light on the broader challenges inherent in infectious diseases. In response to the evolving landscape of epidemiology, the s
Externí odkaz:
https://doaj.org/article/52e964d668bb4c6497840a28d2f4c1b1
Autor:
Kumar, Naresh, Susan, Seba
Epidemiological models are best suitable to model an epidemic if the spread pattern is stationary. To deal with non-stationary patterns and multiple waves of an epidemic, we develop a hybrid model encompassing epidemic modeling, particle swarm optimi
Externí odkaz:
http://arxiv.org/abs/2401.18047
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