Microsoft and their alliance are working on an project which are known as Project Premonition for forecasting flashes of the emerging infectious disease, such as Zika viruses, Ebola, MERS and other diseases.
The UAV flying over the areas in order to determine hottest point of mosquitoes. These mosquitoes captured by robots that pulls the blood has been sucked by mosquitoes, which will analyze the cloud scale gene of the sequencers that utilize the machine learning to detect both known and unknown diseases.
Those mosquitoes will suck the blood of the animals that contains genetic information about bitten animals as well as the viruses in the blood. By automatically choosing the large amount of mosquitoes, it is possible to discover germs before they invoke the flare.
Microsoft researcher, and project head Ethan Jackson said that “The system delivers a lot of data, that we have never hear before about the behavior of insets. If we are able to detect these kind of new viruses before being distributed, we can sometime prevent outbreaks before they begins”.
Mosquito hotspots vary depending on the weather conditions and the population can move on a daily basis. The modern methods of identifying the mosquito hot spot which includes satellite images, which do not provide granular enough data to be useful for effective allocation of areas with high concentration of mosquitoes.
Drones are visible around the structures, and their close proximity to the services allows them to better identify hot-spots. Experiments have shown that unmanned aerial vehicle have great potential for other applications in the field of public health.
Those traps were the mosquitoes are kept are fully automatic and intelligent. The wings of those inspect patterns are analyzed and matched with the known wing of mosquitoes models. If it match with the known pattern the hatch will closes, by capturing the mosquitoes. This Intelligent trap can learn over the time to avoid repeating mistakes. Capturing the large numbers of mosquitoes was hitherto a labor intensive task. Each captured mosquito is labeled with additional, such as time, temperature and light levels at the time of capture.
The genetic sequencing makes mosquitoes captured hundreds of gigabytes of genetic data. The data shows that those mosquitoes species, the animal to whom they have bitten and pathogens found in the wild.
[graphiq id=”9JmvliZtSN7″ title=”Conditions” width=”600″ height=”578″ url=”https://w.graphiq.com/w/9JmvliZtSN7″ ]