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Comments on “Optimal control analysis of a COVID-19 and tuberculosis co-dynamics model”

Study of dynamics of COVID-19 and its co-infection with other diseases through mathematical models is the major focus of recent advancement in mathematical modeling of infectious diseases. There are numerous mathematical models on COVID-19 which describe its dynamics for different geographic regions...

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Autores principales: Karthik, A., Bandekar, Shraddha Ramdas, Ghosh, Mini
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Author(s). Published by Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9422334/
https://www.ncbi.nlm.nih.gov/pubmed/36061632
http://dx.doi.org/10.1016/j.imu.2022.101068
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author Karthik, A.
Bandekar, Shraddha Ramdas
Ghosh, Mini
author_facet Karthik, A.
Bandekar, Shraddha Ramdas
Ghosh, Mini
author_sort Karthik, A.
collection PubMed
description Study of dynamics of COVID-19 and its co-infection with other diseases through mathematical models is the major focus of recent advancement in mathematical modeling of infectious diseases. There are numerous mathematical models on COVID-19 which describe its dynamics for different geographic regions. However, there are very few research papers dealing with co-infection of COVID-19 and TB. As both TB and COVID-19 are infectious diseases of same nature it becomes very difficult to predict the co-dynamics of these two diseases. The formulation of a correct mathematical model is very important in any kind of modeling and if the mathematical model is not proper then any prediction based on this may not be valid. This letter highlights the important limitations in the proposed mathematical model of co-dynamics of COVID-19 and TB by [1].
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spelling pubmed-94223342022-08-30 Comments on “Optimal control analysis of a COVID-19 and tuberculosis co-dynamics model” Karthik, A. Bandekar, Shraddha Ramdas Ghosh, Mini Inform Med Unlocked Article Study of dynamics of COVID-19 and its co-infection with other diseases through mathematical models is the major focus of recent advancement in mathematical modeling of infectious diseases. There are numerous mathematical models on COVID-19 which describe its dynamics for different geographic regions. However, there are very few research papers dealing with co-infection of COVID-19 and TB. As both TB and COVID-19 are infectious diseases of same nature it becomes very difficult to predict the co-dynamics of these two diseases. The formulation of a correct mathematical model is very important in any kind of modeling and if the mathematical model is not proper then any prediction based on this may not be valid. This letter highlights the important limitations in the proposed mathematical model of co-dynamics of COVID-19 and TB by [1]. The Author(s). Published by Elsevier Ltd. 2022 2022-08-29 /pmc/articles/PMC9422334/ /pubmed/36061632 http://dx.doi.org/10.1016/j.imu.2022.101068 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Karthik, A.
Bandekar, Shraddha Ramdas
Ghosh, Mini
Comments on “Optimal control analysis of a COVID-19 and tuberculosis co-dynamics model”
title Comments on “Optimal control analysis of a COVID-19 and tuberculosis co-dynamics model”
title_full Comments on “Optimal control analysis of a COVID-19 and tuberculosis co-dynamics model”
title_fullStr Comments on “Optimal control analysis of a COVID-19 and tuberculosis co-dynamics model”
title_full_unstemmed Comments on “Optimal control analysis of a COVID-19 and tuberculosis co-dynamics model”
title_short Comments on “Optimal control analysis of a COVID-19 and tuberculosis co-dynamics model”
title_sort comments on “optimal control analysis of a covid-19 and tuberculosis co-dynamics model”
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9422334/
https://www.ncbi.nlm.nih.gov/pubmed/36061632
http://dx.doi.org/10.1016/j.imu.2022.101068
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