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Use CaseHealthcare / Healthcare providers and services

Track and predict disease vector in general population

Analysing and predicting the trajectory of disease propogation in a population is critical to allow better mobilisation and targeting of scarce resources to combat the spread in a time-sensitive and high pressure situation. Using machine learning to support the process enables modelled predictions to be speedier and less resource-intensive - which can also lead to greater precision and specificity in outcomes.

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Risk reduction
Risk reduction - Predictive diagnosis
βš™
Operational Support
Operational Support - Situational awareness
Β£
Cost
Cost - Optimise resource allocation
Description

Track and predict disease vector in general population

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