Artificial intelligence tool for the study of COVID-19 microdroplet spread across the human diameter and airborne space

Abstract

The 2019 novel coronavirus (SARS-COV2 / COVID-19), with a point of origin in Wuhan, China, has spread rapidly all over the world. It turned into a raging pandemic wrecking havoc on health care facilities, world economy and affecting everyone’s life to date. With every new variant, rate of transmission, spread of infections and the number of cases continues to rise at an international level and scale. There are limited reliable researches that study microdroplets spread and transmissions from human sneeze or cough in the airborne space. In this paper, we propose an intelligent technique to visualize, detect, measure the distance of the spread in a real-world settings of microdroplet transmissions in airborne space, called ”COVNET45”. In this paper, we investigate the microdroplet transmission and validate the measurements accuracy compared to published researches, by examining several microscopic and visual images taken to investigate the novel coronavirus (SARS-COV2 / COVID-19). The ultimate contribution is to calculate the spread of the microdroplets measurements precisely with graphical presentation.

Artificial intelligence tool for the study of COVID-19 microdroplet spread across the human diameter and airborne space

“…The tool has been made publicly available to other researchers along with all the images and full detailed technical guide [14,15]. The rest of the paper is organized as follows.…”

Role of Fluid Dynamics in Infectious Disease Transmission: Insights from COVID-19 and Other Pathogens

“…He subsequently transitioned from being a professor of anatomy and botany to a professor of physics [15]. The individual pioneered the application of probabilistic modelling in epidemics to assess the efficacy of variolation against smallpox and predict the potential increase in life expectancy following the eradication of smallpox [16]. He was the first physicist to engage in epidemiology formally [17].…”

“…Previous studies have demonstrated that the CONTAM multizone contaminant transportation model effectively forecasts the airflow/ventilation and pollutants [9][10][11][12][13][14][15][16][17][18][19]. These verifications have primarily aimed to utilise the CONTAM-quanta model to analyse the superspreading incident related to the Skagit Valley Chorale and then contrast the findings with the COVID-19 Aerosol Transmission Estimator [7].…”