DOI: 10.37394/232025.2024.6.1 ISSN: 2692-5079

A Covid-19 Identification Framework for Vulnerable Using Technology Intervention

Swatantra Kumar Sahu, Neeraj Sahu, Brijesh Bakariya

The World Health Organization (WHO) mentioned the Global Outbreak Alert and Response Network (GOARN) has launched a GOARN COVID-19 Knowledge hub. Fever, dry cough, and tiredness are the most common symptoms of COVID-19. Another report from WHO says that laboratory testing guidance for COVID- 19 in suspected human cases. Recognizing that the global spread of COVID-19 has increased the number of suspected cases. Thus, a well-formed people support framework is required to safeguard the vulnerable from COVID-19-like disasters in the future. This short paper reports the research findings we conducted by laying out a safeguard and sensible framework for people's well-being during disastrous times. The proposed framework is a fuzzy soft algorithm to improve possible COVID-19 case identification more quickly using a smartphone. The proposed framework has a parameter of fuzzy soft set values like Fever, dry cough, tiredness,etc fed by the user in the mobile application that is identified by using a fuzzy soft algorithm.