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Article detail · 2023

Solution of a dengue fever model via fractional natural decomposition and modified predictor–corrector methods

Journal

Advances in Complex Systems
OpenAlex SJR Q2 JCR Q3 Citations 10 Percentile 82.5% FWCI 1.79
Year
2023
Type
article

Data source split

  • YÖKSİS venue Advances in Complex Systems
  • OpenAlex OpenAlex enrichment (abstract, citations, topics)

Abstract

OpenAlex · English

In this paper, we solved a model of a well-known infectious disease called dengue fever via fractional natural decomposition and modified Predictor–Corrector (PC) methods. A study of the dengue epidemic in the Cape Verde Islands off the coast of West Africa in 2009 has been resumed here for a better understanding of the results. The results are obtained using Liouville–Caputo and new generalized Caputo-type fractional derivatives. The numerical simulations are presented for various orders of given derivatives. Existence and uniqueness analysis of the given problem are also performed in the new generalized Caputo sense. The explored results are verified using figures. The main target of this paper is to explore the different dynamics of the given dengue fever model via two types of fractional numerical algorithms.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

10 citations

OpenAlex cited_by_count (cache / database)

Authors

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