THE ROLE OF AI IN PRESERVING GLOBAL HEALTH: PREDICTIVE ANALYTICS FOR PANDEMIC PREVENTION AND RESPONSE

Abstract

Artificial Intelligence (AI) can be regarded as an effective tool or weapon which can be used in achieving different strategies for global public health problems especially with regard to the control of pandemics. By utilizing such data science methods as data analytics, machine learning and predictive modelling of data, it would be theoretically possible to fundamentally change the operations concerning expectance, readiness and response to the effects of disease outbreaks. In this article, we will look at the application of artificial intelligence on the preservation of global health in three ways. First, it is important to note that AI can improve disease outbreak’s preparedness by forecasting the disease’s trends. Forecasting can be done by analyzing the available data which is derived from various sources such as electronic health records, social media and tracking systems. If such data is available, AI can promptly recognize patterns and indicate up and coming risks which can result in disease outbreaks. Secondly, AI can better perform resource management during pandemics by facilitating estimating the amount of medical resources and personnel or infrastructure that will be needed. Such a targeted approach could ensure that an effective network link is established leading to minimization of the outbreak of pandemics. Thirdly, AI can also help in accelerating the processes of the putting up of the drug in the market by analyzing genomic data in order to come up with the possible drug targets. Such assistance can result in the provision of new treatments and vaccines at a faster rate thus reducing any pandemic which is likely to be caused within that short time period. Overall, the utilization of AI will help in the prevention of the outbreak of various diseases and in tandem with global efforts there will be a permanent solution. AI can assist in contact tracing by evaluating social network and movement data to search for people who may have come into contact with the disease. This can be beneficial in mitigating further spread and controlling outbreaks effectively. While AI, in many ways, has a tremendous potential for enhancing health standards globally, few of the existing problems regarding the application of such technologies must be highlighted and solved. Data-related challenges include data quality and privacy, ethical and legal issues, and technical barriers to integration with other health care systems. Once these barriers are crossed, AI will have an important contribution to the protection of health across the world and the creation of a stronger and more sustainable world for future generations.

Keywords: Artificial Intelligence, Global Health, Pandemic Prevention, Social Networks, Genomic Data