Global health security and disaster forensics

What is it about?

Recent outbreaks characterize the ‘new normal’and has unveiled major deficiencies in preparedness, response and recovery initiatives. For example, Ae. aegypti is one of the most significant mosquito species as it is capable of transmitting dengue fever, chikungunya, Zika, and yellow fever viruses. Understanding the emerging threat employing landscape real time epidemiological tools may ‘experimental futuring’and scenario planning, this paper presents novel methods to predictively understand the processes by which species colonize and adapt to human habitats with a focus on the case of a virulent disease-vectoring arthropod such as Ae. aegypti. In this paper, we introduce real time ArcGIS machine learning (ML), spectral signatures in unmanned semi-Autonomous drone aircraft platform for controlling Ae. aegypti. mosquito habitats.

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