Risk, Relevance and Roadmap for Sustainable Prognosis Model of COVID-19

Abstract

The understanding of host susceptibility, clinical features, variants risks, and asymptomatic infection complexity is challenging in making sustainable prognosis models. The objective of this article is to review the green chemistry, host-pathogen inter relations, new age technologies and suitable policies adaptation for control of coronavirus disease (COVID-19) pandemic. The disease prognosis models are evaluated for comprehensive disease management components using sustainable public health framework. Here, the demonstrator of policy roadmap, mathematical modeling for variants, sustainable framework of population testing protocols and prognosis healthcare models bearing green chemistry preventive measures are analyzed for COVID-19. Highlights• We review literature concerning host susceptibility, clinical features, variants risks, and asymptomatic infection complexity, which is challenging in making sustainable prognosis models of COVID-19. • We evaluated green chemistry, host-pathogen inter relations, new age technologies and suitable policies adaptation for control of coronavirus disease (COVID-19) pandemic. • The construction of efficient roadmap from diagnosis to treatment for healthcare management.• The relevance of this research lies in addressing environment and socioeconomic components to make it sustainable public health management.

Emergence of integrated biosensing-enabled digital healthcare devices

“…200 The pandemic and related global human health threats can be controlled by well-defined public health management; therefore, it is important to understand technological adaptation and carry out development on a regular basis. 201,202 Integrated sensors now feature more cutting-edge technologies without sacrificing functionality. Herein, we have highlighted the key issues raised by new and pervasive diseases and provided recommendations for how the advanced materials community can address them.…”