Optimize Air Sampler for Detection of Airborne Covid-19 Virus in Covid Special Wards and Aerial Dissemination by Using Quad Copter

Abstract

The disease COVID–19 is caused by a completely unique Corona virus SARS-CoV-2 originated from Wuhan, China. The spread of virus is reported through contact on surfaces and airborne. The Aerosols of SARS-CoV-2 are generated through sneeze and cough from the themes infected. Many aerosol particles are generated while sneezing to their morphological features (spherical shape and 60-140nm in diameter) the virus is buoyant within the atmosphere, sustain for extended time and simply transported to longer distance. The reports stating the airborne nature of the virus is merge and there was no study available from India thus far. Further, the spread of the virus from Corona Isolation Ward to the overall atmosphere or environment isn't studied thus far in any a part of the planet. Its utmost important to review the spread of the virus and to understand the epidemiology of SARS-COV-2 virus. Thus, the proposal is presented to find out about the detection of airborne virus from COVID special wards and their aerial dissemination to the outdoor environment using QUAD copters. This may pave the way for preventing general public from exposure to the virus. The system will consists of the multi rotor drone with the payload capacity of 1kg. Our main objective is integrating Air sampler with drone to require air samples at different altitudes. The most problem with air samplers are designed as static sampler located at one spot indoor or at multiple spots in required zone. However, monitoring the aerosols once they are airborne is difficult; hence application of UAV is nowadays growing importance thanks to their dynamism. Our aim is to style and simulate the air sampler using Blender.