An epidemic prediction from analysis of a combined HIV-COVID-19 co-infection model via ABC-fractional operator

The whole world is still shaken by the new corona virus and many countries are starting opting for the lockdown again after the first wave that already killed thousands of people. New observations also show that the virus spreads quickly during the cold period closer to winter season. On the other s...

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Published inAlexandria engineering journal Vol. 60; no. 3; pp. 2979 - 2995
Main Authors Ahmed, Idris, Doungmo Goufo, Emile F., Yusuf, Abdullahi, Kumam, Poom, Chaipanya, Parin, Nonlaopon, Kamsing
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.06.2021
THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University
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Abstract The whole world is still shaken by the new corona virus and many countries are starting opting for the lockdown again after the first wave that already killed thousands of people. New observations also show that the virus spreads quickly during the cold period closer to winter season. On the other side, the number of new infections decreases considerably during hot period closer to summer time. The geographic structure of our planet is such that when some countries (in a hemisphere) are in their winter season, others in the other hemisphere are in their summer season. However, we have observed in the world some countries undertaking national lockdown during their summer time, which result in their economy to be hugely hit. Other factors, beside the lockdown, have also impacted negatively the socio-economic situation in affected countries. These include, among others, the human immunodeficiency virus (HIV) susceptible to combine to the new corona virus. The new corona virus is indeed recent and many of its effect and impact on the society are still unknown and are still to be uncovered. Hence we use here the of Atangana-Baleanu fractional derivative to mathematically express and analyses a model of HIV disease combined with COVID-19 to assess the pandemic situation in many countries affected, such as South Africa, United Kingdom (UK), China, Spain, United States of America (USA), and Italy. A way to achieve that is to perform stability and bifurcation analysis. It is also possible to investigate in which conditions the combined model contains a forward and a backward bifurcation. Moreover, utilizing the techniques of Schaefer and Banach fixed point theorems, existence and uniqueness of solutions of the generalized fractional model were presented. Also, the Atangana-Baleanu fractional (generalized) HIV-COVID-19 con-infection model is solved numerically via well-known and effective numerical scheme and a predicted prevalence for the COVID-19 is provided. The global trend shown by the numerical simulation proves that the disease will stabilize at a later stage when adequate measures are taken.
AbstractList The whole world is still shaken by the new corona virus and many countries are starting opting for the lockdown again after the first wave that already killed thousands of people. New observations also show that the virus spreads quickly during the cold period closer to winter season. On the other side, the number of new infections decreases considerably during hot period closer to summer time. The geographic structure of our planet is such that when some countries (in a hemisphere) are in their winter season, others in the other hemisphere are in their summer season. However, we have observed in the world some countries undertaking national lockdown during their summer time, which result in their economy to be hugely hit. Other factors, beside the lockdown, have also impacted negatively the socio-economic situation in affected countries. These include, among others, the human immunodeficiency virus (HIV) susceptible to combine to the new corona virus. The new corona virus is indeed recent and many of its effect and impact on the society are still unknown and are still to be uncovered. Hence we use here the of Atangana-Baleanu fractional derivative to mathematically express and analyses a model of HIV disease combined with COVID-19 to assess the pandemic situation in many countries affected, such as South Africa, United Kingdom (UK), China, Spain, United States of America (USA), and Italy. A way to achieve that is to perform stability and bifurcation analysis. It is also possible to investigate in which conditions the combined model contains a forward and a backward bifurcation. Moreover, utilizing the techniques of Schaefer and Banach fixed point theorems, existence and uniqueness of solutions of the generalized fractional model were presented. Also, the Atangana-Baleanu fractional (generalized) HIV-COVID-19 con-infection model is solved numerically via well-known and effective numerical scheme and a predicted prevalence for the COVID-19 is provided. The global trend shown by the numerical simulation proves that the disease will stabilize at a later stage when adequate measures are taken.
Author Chaipanya, Parin
Nonlaopon, Kamsing
Kumam, Poom
Doungmo Goufo, Emile F.
Ahmed, Idris
Yusuf, Abdullahi
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Issue 3
Keywords Coronavirus
HIV
34A12
34D20
26A33
34A43
Fixed point theorems
ABC fractional derivative
Existence and uniqueness
Language English
License This is an open access article under the CC BY-NC-ND license.
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Snippet The whole world is still shaken by the new corona virus and many countries are starting opting for the lockdown again after the first wave that already killed...
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pubmedcentral
crossref
elsevier
SourceType Open Website
Open Access Repository
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Publisher
StartPage 2979
SubjectTerms ABC fractional derivative
Coronavirus
Existence and uniqueness
Fixed point theorems
HIV
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Title An epidemic prediction from analysis of a combined HIV-COVID-19 co-infection model via ABC-fractional operator
URI https://dx.doi.org/10.1016/j.aej.2021.01.041
https://pubmed.ncbi.nlm.nih.gov/PMC8381971
https://doaj.org/article/10fce6cff6cd4f7d9358396ea47536da
Volume 60
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