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Abstract A critical step in the process for preventing and identifying emergencies relating to health, safety, and welfare is the testing and quick diagnosis of microbial pathogens. Due to the fast spread of waterborne and food borne infections in society and the high costs associated with them, pathogen identification has emerged as one of the most difficult parts of the water and food sectors. Since the turn of the century, pathogens have demonstrated enormous epidemiological and pandemic potential. The emergence and dissemination of a novel virus with pandemic potential endanger the livelihoods and well-being of individuals worldwide. The severe acute respiratory syndrome-coronavirus-2 (SARS-COV-2) coronavirus pandemic has propagated to almost every country on Earth and has had a considerable negative influence on economies and communities. Despite improvements in identification techniques for viral diseases, all nations must now execute biosensing in a speedy, sensitive, focused, and consistent manner in order to address pressing global issues. Hence, in this review, we have critically summarised the recent advancement of electrochemical as well as optical biosensors for the monitoring of SARS-COV-2 and various pathogens. Then, we began by providing a technical overview of cutting-edge strategies utilised to combat diseases and emergencies for it, including the utilisation of point-of-care technology (POCT), artificial intelligence (AI), and the internet of medical things (IoMT). This review article explores the integration of POC, IoMT, and AI technologies in the context of personal healthcare, focusing on their potential to expedite the diagnosis and treatment of medical conditions, ultimately leading to improved patient outcomes. Subsequently, the notion and execution of multiplex testing are presented to enhance the comprehension of detecting multiple analytes. Finally, conclusions and future directions have been presented.
Ahmed et al. (Thu,) studied this question.