Quantum Computing for Dengue Fever Outbreak Prediction: Machine Learning and Genetic Hybrid Algorithms Approach

1. Introduction

Dengue, also referred to as Dengue fever or Break-bone fever stands as a prime example of the global health challenges we face. The dengue virus, carried by the Aedes mosquito, is a major reason for concern because of its fast spread and devastating effects on human health (R. Vijay Sai, S. Madhiarasi, S Keerthana, S Preethi, 2020). The world is facing a pressing need for innovative solutions, and this is where quantum computing enters the scene. In the intricate realm of disease dynamics, the four closely intertwined dengue virus strains - DEN-1, DEN-2, DEN-3, and DEN-4 - play a pivotal role in the complex interplay between the virus and its hosts. In 2013, DEN-5 emerged, adding another layer of complexity to the disease landscape. As the World Health Organization reports, every year, tens of millions of individuals are afflicted by dengue infections, a statistic that strikingly encompasses nearly half of the Earth's population. The southern Indian states are most affected, due to poor rainfall and power supply. The various districts of Tamil Nadu such as Coimbatore, Erode, Chennai, Kanyakumari, Dharmapuri, Vellore, Kanchipuram, Thanjavur, Madurai, Tirunelveli are affected due to the poor rainfall. The average number of dengue cases in most dengue-affected districts of Tamil Nadu is mentioned in the given Table 1 (P. Siriyasatien, S. Chadsuthi, K. Jampachaisri, K. Kesorn, 2018).