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A Murine Model of Dengue Virus-induced Acute Viral Encephalitis-like Disease
Published on: April 28, 2019
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Reflections on explainable artificial intelligence for predicting dengue outbreaks in Bangladesh.
Md Siddikur Rahman1, Md Abu Bokkor Shiddik1
1Department of Statistics, Begum Rokeya University, Rangpur, Bangladesh.
Global Epidemiology
|November 28, 2025
Summary
Researchers developed an explainable artificial intelligence (XAI) framework to predict dengue outbreaks in Bangladesh. This method integrates eco-climatic data for improved early warning systems and public health strategies.
Area of Science:
- Public Health
- Epidemiology
- Artificial Intelligence
Background:
- Dengue is a significant and growing public health concern, particularly in climate-sensitive regions like Bangladesh.
- Predicting dengue outbreaks is challenging due to complex eco-climatic factors and the need for timely interventions.

