Assessing dengue risk globally using non-Markovian models

DOI10.1016/J.JTBI.2024.111865zbMATH Open1543.92067MaRDI QIDQ6577336

Aram Vajdi, Caterina Scoglio, Lee W. Cohnstaedt

Publication date: 23 July 2024

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Mathematics Subject Classification ID

Epidemiology (92D30) Qualitative investigation and simulation of ordinary differential equation models (34C60)

Cites Work

• Title not available (Why is that?)
• The transovarial transmission in the dynamics of dengue infection: epidemiological implications and thresholds
• A stochastic spatial dynamical model for Aedes aegypti
• Mathematical model of Ebola and Covid-19 with fractional differential operators: non-Markovian process and class for virus pathogen in the environment
• The role of power decay, exponential decay and Mittag-Leffler function's waiting time distribution: application of cancer spread
• The development of a deterministic dengue epidemic model with the influence of temperature: a case study in Malaysia
• Seasonality on the life cycle of Aedes aegypti mosquito and its statistical relation with dengue outbreaks
• A mosquito-borne disease model with non-exponentially distributed infection and treatment stages
• Modelling the dynamics of dengue real epidemics
• Climate-driven statistical models as effective predictors of local dengue incidence in costa rica: a generalized additive model and random forest approach

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