Fig. 6
From: Analysis of a mathematical model for malaria using data-driven approach
At a constant altitude of 75 meters, temperature variations above and below \(25^\circ \textrm{C}\) were rigorously assessed to determine their influence on transmission dynamics. Our analysis reveals that \(25^\circ \textrm{C}\) serves as the optimal temperature for maximizing transmission rates. Analysis demonstrates a consistent decline in both infected mosquito and human populations as temperatures rise beyond this threshold. Furthermore, population trends for infected mosquitoes and humans align with a Gaussian distribution, reflecting a symmetrical, bell-shaped relationship with temperature. These findings underscore the critical role of temperature regulation in transmission mitigation strategies.
