Stochastic Bayesian Runge-Kutta method for dengue dynamic mapping

Stochastic Bayesian Runge-Kutta method for dengue dynamic mapping

Dengue Hemorrhagic Fever (DHF) is still a threat to humanity that cause death and disability due to changes in environmental and socioeconomic conditions, especially in tropical areas. A critical assessment of the models and methods is necessary. The vital role of stochastic processes of infectious...

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Bibliographic Details
Main Authors: Mukhsar, Gusti Ngurah Adhi Wibawa, Andi Tenriawaru, Ida Usman, Muhammad Zamrun Firihu, Viska Inda Variani, Andi Besse Firdausiah Mansur, Ahmad Hoirul Basori
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:MethodsX
Subjects:
Bayesian
Euler
Four order Runge-Kutta
SIR-SI mode
Stochastic
Online Access:http://www.sciencedirect.com/science/article/pii/S2215016122003533

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http://www.sciencedirect.com/science/article/pii/S2215016122003533

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