| dc.description.abstract | Malaria is a life-threatening mosquito-borne infectious disease prevalent in tropical regions,
primarily transmitted to humans by the bites of infected Anopheles mosquitoes. This study presents
a mathematical model analysis aimed at understanding the dynamics of malaria transmission and the
effectiveness of various prevention strategies. Despite being preventable and curable, malaria continues
to pose significant public health challenges, notably due to the risk of recurrent infections if improperly
treated. The proposed deterministic model establishes the positivity and boundedness of solutions
alongside the local stability of equilibria. A sensitivity analysis is conducted to identify key parameters
impacting the basic reproduction number (R0), which is crucial for evaluating intervention strategies.
The findings indicate that although the current vaccines are not 100% effective, vaccination could
significantly contribute to malaria control alongside existing preventive measures, such as mosquito
nets and insecticide spraying. The study underscores the need for a comprehensive approach combining
multiple strategies to effectively reduce malaria transmission and improve health outcomes in endemic
regions. Overall, this research highlights the importance of mathematical modeling in formulating
effective disease control policies. | en_US |
