Paper
26 June 2024 Mathematical models for predicting the post COVID-19 world population in 2039
Jariya Sanamthong, Sarud Udomchalermpat
Author Affiliations +
Proceedings Volume 13188, International Conference on Medical Imaging, Electronic Imaging, Information Technologies, and Sensors (MIEITS 2024); 131880F (2024) https://doi.org/10.1117/12.3032740
Event: International Conference on Medical Imaging, Electronic Imaging, Information Technologies, and Sensors (MIEITS 2024), 2024, Kuala Lumpur, Malaysia
Abstract
Scientists believe that the world population will increase to 9.2 billion people. In this work, we present some mathematical models to predict the year when the world's population will reach 9.2 billion people after COVID-19. Next, the predict results of the models are investigated by the iterative method. We also find the four of these models predict that the year of 2039, the post COVID-19 world population will reach 9.2 billion. Finally, we illustrate the numerical results using some advantages of mathematical software to support the predict results of the models.
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jariya Sanamthong and Sarud Udomchalermpat "Mathematical models for predicting the post COVID-19 world population in 2039", Proc. SPIE 13188, International Conference on Medical Imaging, Electronic Imaging, Information Technologies, and Sensors (MIEITS 2024), 131880F (26 June 2024); https://doi.org/10.1117/12.3032740
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KEYWORDS
COVID 19

Mathematical modeling

Ordinary differential equations

Iterative methods

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