The complex, unpredictable nature of pathogen occurrence has required substantial efforts
to accurately predict infectious diseases (IDs). With rising popularity of Machine Learning …

Background Dengue modeling is a research topic that has increased in recent years. Early
prediction and decision-making are key factors to control dengue. This Systematic Literature …

Dengue fever is a severe disease spread by Aedes mosquito-borne dengue viruses
(DENVs) in tropical areas such as Bangladesh. Since its breakout in the 1960s, dengue …

To effectively plan and manage the use of agricultural land, it is crucial to identify and
evaluate the multiple human and environmental factors that influence it. In this study, we …

Abstract Background Aedes (Stegomyia)-borne diseases are an expanding global threat,
but gaps in surveillance make comprehensive and comparable risk assessments …

Dengue is a rapidly spreading viral disease transmitted to humans by Aedes mosquitoes.
Due to global urbanization and climate change, the number of dengue cases are gradually …

Mosquitoes have numerous illnesses and are one of the deadliest animals in the planet.
Including Zika, dengue, palaria, West Niles, chikungunya, yellow fever, and more …

Objective The internal workings ofmachine learning algorithms are complex and considered
as low-interpretation" black box" models, making it difficult for domain experts to understand …

Arboviral diseases such as dengue, Zika, chikungunya or yellow fever are a worldwide
concern. The abundance of vector species plays a key role in the emergence of outbreaks of …

Abstract Background and Aims Mental health problem is a rising public health concern.
People of all ages, specially Bangladeshi university students, are more affected by this …