Karthik A, Bandekar Shraddha Ramdas, Ghosh Mini
Division of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Chennai, India.
Inform Med Unlocked. 2022;32:101068. doi: 10.1016/j.imu.2022.101068. Epub 2022 Aug 29.
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].
通过数学模型研究新冠病毒（COVID-19）的动力学及其与其他疾病的共同感染情况，是传染病数学建模领域近期进展的主要关注点。目前有众多关于COVID-19的数学模型，用于描述其在不同地理区域的动态变化。然而，涉及COVID-19与结核病共同感染的研究论文却非常少。由于结核病和COVID-19均为同类传染病，因此很难预测这两种疾病的共同动态变化。在任何建模中，构建正确的数学模型都非常重要，如果数学模型不合适，那么基于该模型的任何预测可能都无效。这封信强调了文献[1]中所提出的COVID-19与结核病共同动态变化数学模型存在的重要局限性。
