AIMC Topic: Disease Outbreaks

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Context matters: using reinforcement learning to develop human-readable, state-dependent outbreak response policies.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
The number of all possible epidemics of a given infectious disease that could occur on a given landscape is large for systems of real-world complexity. Furthermore, there is no guarantee that the control actions that are optimal, on average, over all...

Real-time Epidemic Forecasting: Challenges and Opportunities.

Health security
Infectious disease outbreaks play an important role in global morbidity and mortality. Real-time epidemic forecasting provides an opportunity to predict geographic disease spread as well as case counts to better inform public health interventions whe...

Development of a Supervised Learning Algorithm for Detection of Potential Disease Reemergence: A Proof of Concept.

Health security
Infectious disease reemergence is an important yet ambiguous concept that lacks a quantitative definition. Currently, reemergence is identified without specific criteria describing what constitutes a reemergent event. This practice affects reproducib...

Etiology and pathology of epidemic outbreaks of avian influenza H5N1 infection in Egyptian chicken farms.

Polish journal of veterinary sciences
Epidemic outbreaks of avian influenza (AI) virus H5N1 have been frequently reported in Egypt during the last nine years. Here we investigate the involvement of AI H5N1 in outbreaks of acute respiratory disease that occurred in several commercial chic...