Collection, Detection, and Data Analysis of SARS COVID-19 Biomarkers

Nitish Bhardwaj
2020 International Journal for Research in Applied Science and Engineering Technology  
COVID-19 is an infectious disease caused by the SARS-CoV-2 virus, was declared a pandemic by the World Health Organisation (WHO) in March 2020. By the first week of October 2020, more than 35.7 million people have tested positive worldwide. Infections have been spreading rapidly and tremendous efforts are being made to fight against the disease. Due to the burden being faced by the healthcare system we intend to propose a system with which we can categorize the level of attention needed to
more » ... tion needed to patients from medical staff and help in the prediction of COVID-19 susceptibility through data collection from our proposed handheld device. In this paper, we attempt to collect the various COVID-19 biomarkers readings and analyze data with data science techniques, where we define data science broadly to encompass the various methods and tools-including those from machine learning (ML), modeling, simulation, statistics, data visualization-that can be used to store, process, and extract insights from data. With the help of data, we intend to predict the COVID-19 susceptibility and health monitoring of its patients. As well as we collected data from public datasets, local hospitals, and repositories that can be used for further work to track COVID-19 symptoms, spread, and mitigation strategies.
doi:10.22214/ijraset.2020.32165 fatcat:ieikwcuus5fyjbku33v5pitw2m