Introduction The increasing availability of data and computing power has made machine
learning (ML) a viable approach to faster, more efficient healthcare delivery. Methods A …

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

Highlights●Goals for models include understanding, decision-making, and
predicting/forecasting.●Data for models vary in multiple dimensions, including spatial …

Dengue fever presents a significant global health challenge with profound socioeconomic
implications, particularly in develo** countries. Effective control strategies for dengue are …

We present a modeling strategy to forecast the incidence rate of dengue in the department of
Córdoba, Colombia, thereby considering the effect of climate variables. A Seasonal …

Objective: Tuberculosis (TB) is the second most deadly infectious disease globally, posing a
significant burden in Brazil and its Amazonian region. This study focused on the “riverine …

A dengue é uma arbovirose transmitida pelo mosquito Aedes aegypti, classificada também
como uma doença tropical negligenciada. Essas doenças prevalecem em regiões tropicais …

The increasing availability of data and computing power has made machine learning (ML) a
viable approach to faster, more efficient healthcare delivery. To exploit the potential of data …

As arboviroses são consideradas uma das doenças tropicais negligenciadas pela
Organização Mundial de Saúde (OMS) e é um problema de saúde pública em países de …