Mathematical Insights Into Dengue Disease Transmission In Thailand: Bridging The Gap
Siriporn Phatthanakun
Department of Mathematics, Faculty of Science, King Mongkut’s Institute of Technology Ladkrabang, Thailand
Thawatchai Phromsakha Na Sakonnakhon
Department of Mathematics, Faculty of Science, King Mongkut’s Institute of Technology Ladkrabang, Thailand
Abstract
Dengue virus, endemic in tropical and subtropical regions like South-East Asia, the Western Pacific, and Latin and Central America, poses a significant public health threat. Transmitted to humans via Aedes mosquitoes, the virus comprises four distinct serotypes: DEN1, DEN2, DEN3, and DEN4. These mosquitoes can thrive in any environment with stagnant water, making them ubiquitous and challenging to control. Mosquitoes, despite their small size, are the most lethal animals on Earth, responsible for a staggering number of human fatalities each year. Mosquito-borne diseases, including malaria, yellow fever, encephalitis, and dengue fever, contribute to this alarming mortality rate. Dengue fever, in particular, is a global concern, as there is no specific treatment available, and existing medical care primarily focuses on managing patients' symptoms and supporting their recovery. The absence of an effective vaccine further complicates the situation. Consequently, the primary approach to combat dengue revolves around controlling the mosquito vectors responsible for its transmission. Mathematical modeling plays a pivotal role in understanding the dynamics of dengue transmission and the development of strategies for its control. This tool enables a comprehensive analysis of the spread of infectious diseases, shedding light on the mechanisms underlying dengue epidemics. By exploring mathematical models, researchers and public health officials can gain valuable insights into the spread and control of dengue, ultimately helping to mitigate the impact of this devastating disease.