Concurrent advances in information technology infrastructure and mobile computing power
in many low and middle-income countries (LMICs) have raised hopes that artificial …

In the broad sense, the Bayesian networks (BN) are probabilistic graphical models that
possess unique methodical features to model dependencies in complex networks, such as …

Vector-borne diseases are particularly sensitive to changes in weather and climate. Timely
warnings from surveillance systems can help to detect and control outbreaks of infectious …

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Simple Summary Vector-borne diseases (VBDs) are a major threat to human health. Climate
change has a significant impact on VBDs. To clarify the complex effects of climate change on …

Abstract Background Several countries in Southeast Asia are nearing malaria elimination,
yet eradication remains elusive. This is largely due to the challenge of focusing elimination …

Spatial connectivity plays an important role in mosquito-borne disease transmission.
Connectivity can arise for many reasons, including shared environments, vector ecology and …

In recent years, massive attention has been attracted to the development and application of
machine learning (ML) in the field of infectious diseases, not only serving as a catalyst for …

Background: Delirium is a temporary mental disorder that occasionally affects patients
undergoing surgery, especially cardiac surgery. It is strongly associated with major adverse …

Differentiating dengue patients from other acute febrile illness patients is a great challenge
among physicians. Several dengue diagnosis methods are recommended by WHO. The …