Digital technologies are the need of today to predict, prevent and control emerging infectious
diseases. Bangladesh is one of the world's poorest and most densely populated countries …

Species distribution models are commonly applied to predict species responses to
environmental conditions. A wide variety of models with different properties exist that vary in …

COVID-19 pandemic has become a global major public health concern. Examining the
meteorological risk factors and accurately predicting the incidence of the COVID-19 …

Dengue fever is a prevalent mosquito-borne disease that burdens communities in
subtropical and tropical regions. Dengue transmission is ecologically complex; several …

Accurate predictive time series modelling is important in public health planning and
response during the emergence of a novel pandemic. Therefore, the aims of the study are …

Dengue disease positions a significant global public health challenge, warranting attention
from local health authorities and the international community. The escalating number of …

The diseases transmitted through vectors such as mosquitoes are named vector-borne
diseases (VBDs), such as malaria, dengue, and leishmaniasis. Malaria spreads by a vector …

The Vector Control Program in Mexico has developed operational research strategies to
identify entomological and sociodemographic parameters associated with dengue …

Background Dengue, Zika, and chikungunya, whose viruses are transmitted mainly by
Aedes aegypti, significantly impact human health worldwide. Despite the recent …

This research study explores the potential of machine learning applications in environmental
management to significantly contribute to urban health enhancement. By utilizing machine …