Digital aging, gerosciene and latent COVID-19 effects
New digital research methods are being developed to focus on the human physiological response to SARS-CoV-2 and systematically address unsolved medical challenges. Realistically functional digital models of human organs and body systems under different conditions are being developed to provide a resilient digital medical research framework able to function under even the most severe of infectious disease threats. Virtual solutions will help hasten the design and screening of new therapies and allow for simulated aging studies to better manage the risk of long-term health effects.
Latent effects on industries and economy
Many of the pandemic’s effects are visible and quantifiable, such as changes in the global economy and supply chains, and virus-related disruptions of business, particularly those in health care. Machine learning approaches will allow for the analysis of hospital responses and the subsequent effect on health outcomes to better understand the types of hospitals that performed well when treating COVID-19 patients, and to ascertain the path of learning by which hospitals improve outcomes.
Latent psycho-socio-behavioral effects
Pandemics can have dramatic impact on society, disrupting schools and affecting public health. Close examination of the educational disruptions and social isolation children faced, including impacts on mental health, will help create strategies that may broadly assist the educational community during pandemics. Emotions such as frustration, anger, fear, anxiety and regret can influence how people behave during a pandemic. Predictive models will allow social scientists to develop strategies to prepare for the emotional impact of future pandemics.
