Published Paper Details:

The current corona virus disease 2019 pandemic poses a serious danger to global public health. To evaluate its impact and guide control measures, we integrate the information on demographics, connection arrangements, illness austerity, health care accommodation and quality. Blooming community in low income nations may decrease the total risk, but insufficient healthcare capacity can have combined with more international interaction cancels this advantage. These moderation techniques that decrease but do not stop transmitting would nonetheless result in covid19 outbreaks promptly mind blogging immune systems, with significant excess fatalities in low income nations because to inadequate health care. Lower income countries have been more aggressive in their suppression efforts to date. This review provides an overview of the current state of all models for the detection and diagnosis of COVID-19 and processing based on some machine learning and deep learning techniques. According to observations, supervised machine learning techniques and deep learning techniques have an extraordinary capacity to provide accurate and efficient results for the detection and diagnosis of covid-19.