Multimodal Analysis of Cognitive and Social Psychology Effects of COVID-19 Victims

ABSTRACT

COVID-19 is an expanding social, economic, and health epidemic. Present COVID-19, as it has led to tremendous increases in psychiatric problems, has a leading national influence on this secondary disease. COVID-19 caused widespread hysteria, socioeconomic injury, and a high infection rate and mortality to the psychosocial effect. The virus is predictable to pose a big global mental health problem that already has a huge impact on millions of people’s physical health. Emotional and cognitive risks. Discussed various perceived risks when the perceived surveillance reduced health risk chance. The prediction model incorporates biological, psychological, and social variables in diagnosis, prognosis, and treatment of COVID-19 by logistic regression, decision tree, random forest, RNN (Recurrent Neural Network), and PNN (Probability Neural Network). In order to provide doctors and patients with information about their use, efficacy, and deficiencies, this research includes a design evaluation for the topic, diagnosis, and assessment of moderate or extreme neurocognitive impairments. The adverse effects of fear, cold, and depression increase the health risk;obsession raises the health risk, risks between individuals and mental health, and uncertainty;Finally, positive mental states enhance health risk perception. Further, positive survivor techniques can help ease emotional distress that causes tension, while pessimistic coping mechanisms can intensify emotional symptoms due to stress. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.