A recent large-scale study
concludes that both type 1 and type 2 diabetes are associated with an increased risk of COVID-19-related in-hospital death. While, People of all ages with underlying medical conditions, particularly if not well controlled, including diabetes at higher risk for severe illness from COVID-19. COVID-19 mitigation strategies combined with fear of infection and economic uncertainty, social isolation, reduced physical activity, limited access to care, and lack of motivation and monitoring could have serious impact people with type 2 diabetes and their management of diabetes. With weakened immune systems and resistance to infection, the outcomes are potentially serious but avoidable.
A comprehensive dataset is required to develop evidence-based protocols during a pandemic for: Delivery of diabetes (and other chronic conditions) care; modification self-management and home monitoring program; therapeutic changes to avoid potential metabolically interfering effects of drugs in suspected or COVID-19 positive patients with diabetes; and in-hospital care plan. This must include review of patient’s lifestyle (diet and exercise), self-monitoring results as well as historical and current demographics. Data that includes ethnicity, medication, allergies, vaccination, hospital care plan data, and even, gut microbiome information is essential to revise and plan for the present and any future pandemics. This application addresses these issues and provides a framework for treatment today and in the future, as well as virtual diabetes care.
- Monitoring COVID-19 symptoms and supporting people during self-isolation
- Monitoring and supporting people with chronic illnesses
Base line data for epidemiological analysis
Base line data for developing evidence-based diabetes care protocols