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 in | Alexandria engineering journal Vol. 60; no. 3; pp. 2979 - 2995 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
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Elsevier B.V
01.06.2021
THE AUTHORS. Published by Elsevier BV on behalf of Faculty of Engineering, Alexandria University Elsevier |
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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. |
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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 |
Author_xml | – sequence: 1 givenname: Idris surname: Ahmed fullname: Ahmed, Idris organization: Department of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), 126 Pracha-Uthit Road, Bang Mod, Thung Khru, Bangkok 10140, Thailand – sequence: 2 givenname: Emile F. surname: Doungmo Goufo fullname: Doungmo Goufo, Emile F. email: franckemile2006@yahoo.ca organization: Department of Mathematical Sciences, University of South Africa, Florida 0003, South Africa – sequence: 3 givenname: Abdullahi surname: Yusuf fullname: Yusuf, Abdullahi email: yusufabdullahi@fud.edu.ng organization: Department of Computer Engineering, Biruni University, Istanbul 34010, Turkey – sequence: 4 givenname: Poom surname: Kumam fullname: Kumam, Poom email: poom.kum@kmutt.ac.th organization: Fixed Point Research Laboratory, Fixed Point Theory and Applications, Research Group, Center of Excellence in Theoretical and Computational Science, (TaCS-CoE), Faculty of Science, King Mongkut’s University of Technology Thonburi, (KMUTT), 126 Pracha Uthit Rd., Bang Mod, Thung Khru, Bangkok 10140, Thailand – sequence: 5 givenname: Parin surname: Chaipanya fullname: Chaipanya, Parin email: parin.cha@mail.kmutt.ac.th organization: Department of Mathematics, Faculty of Science, King Mongkut’s University of Technology Thonburi (KMUTT), 126 Pracha-Uthit Road, Bang Mod, Thung Khru, Bangkok 10140, Thailand – sequence: 6 givenname: Kamsing surname: Nonlaopon fullname: Nonlaopon, Kamsing email: nkamsi@kku.ac.th organization: Department of Mathematics, Faculty of Science, Khon Kaen University, Khon Kaen 40002, Thailand |
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Keywords | Coronavirus HIV 34A12 34D20 26A33 34A43 Fixed point theorems ABC fractional derivative Existence and uniqueness |
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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 |
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