Abstract Machine learning (ML) techniques excel at forecasting, clustering, and classification
tasks, making them valuable for various aspects of mosquito control. In this literature review …

Weather factors are widely studied for their effects on indicating dengue incidence trends.
However, these studies have been limited due to the complex epidemiology of dengue …

Background Dengue is the most common arboviral disease of humans, with more than one
third of the world's population at risk. Accurate prediction of dengue outbreaks may lead to …

Dengue and influenza-like illness (ILI) are two of the leading causes of viral infection in the
world and it is estimated that more than half the world's population is at risk for developing …

Dengue fever (DF) and the potentially fatal dengue haemorrhagic fever (DHF) are continue
to be a crucial public health concern in Malaysia. This paper proposes a prediction model …

Dengue fever has become a major concern for health authorities all over the world
particularly in the tropical countries. These countries, in particular are experiencing the most …

Dengue fever is considered as one of the most common mosquito borne diseases
worldwide. Dengue outbreak detection can be very useful in terms of practical efforts to …

Dengue Fever, existing throughout the contemporary history of mankind, poses an endemic
threat to most tropical regions. Dengue virus is transmitted to humans mainly by the Aedes …

Background:" Chickenpox" is a highly infectious disease caused by the varicella-zoster
virus, influenced by seasonal and spatial factors. Dealing with varicella-zoster epidemics …

Epidemiological modeling is an important problem around the world. This research presents
COVID-19 analysis to understand which model works better for different regions. A …