RESUMO
The risk evaluation of natural disasters is an obstacle to ensuring healthcare services during catastrophic events worldwide. Therefore, timely and appropriate environmental health risk evaluation is essential. In this study, we incorporated the information from databases such as PubMed, Google Scholar, and Scopus. We performed this study to explore the feasibility of using artificial intelligence (AI) in disaster risk and emergency health management. Natural disasters have some phenomenon that is bound to happen. So, we can use AI to inform healthcare authorities about environmental health risks and emergency medical management. The recent innovations in technology have created novel opportunities for improving healthcare services across the world. AI technology would be the backbone of the fourth industrial revolution because we are entering an AI-based world this decade. Therefore, we suggest the authorities consider this positive aspect of AI technology to minimize the disastrous outcomes of any catastrophic events.
RESUMO
Background: One of the most pressing issues in healthcare today is the prevention of Adenovirus (AdV) infections. Children and the elderly, both of whom have weaker immune systems than healthy adults, are more vulnerable to infection. Discussion: India has been the epicenter of a recent AdV epidemic in the South Asian area. Most of the nations, bordering India are still developing and have very low per capita incomes, yet their citizens often cross into India for trade, medical care, and vacation. Conclusion: We are concerned that an epidemic of the AdV might occur in the Indian subcontinent, spread to other nations, and eventually affect the whole world if effective preventative and diagnostic measures are not taken.
