ABSTRACT
The COVID-19 pandemic has significantly disrupted the world economy and has put a strain on healthcare systems around the world. To be able to reduce the virus's spread, it is essential to develop an effective detection and prevention system. This system should be able to detect the presence of the virus in a population and provide early warning to the public health authorities. Data science, machine learning, and Internet of Things (IoT) technologies can be used to develop such a system. Data science can be used to analyze large datasets to find trends and patterns in the virus's transmission. Machine learning algorithms can be used to identify potential hot spots and foresee how the infection will propagate. IoT technologies can be used to monitor the health of individuals and provide real-time data to public health authorities. The system uses IoT devices to monitor the environment and detect any changes in temperature, humidity, and air quality that may indicate the presence of the virus. This system can be used to provide early warning to the public health authorities and help them take necessary preventive measures to contain viral infection and spread.
