Global perceptions of the current and future impacts of COVID-19 on hereditary angioedema management.

Background: The coronavirus disease 2019 (COVID-19) pandemic has greatly affected health-care provision across the globe. Management of chronic ailments has become challenging because of the strained health-care resources and social distancing measures that prevent on-site clinical visits and treatments. Hereditary angioedema (HAE) is a debilitating, chronic disease characterized by unpredictable swelling attacks in various parts of the body. Controlling HAE symptoms often requires long-term prophylactic medication use and regular medical care; however, limited scientific information has been published about HAE medical care during the COVID-19 pandemic. Objective: To gather patient and health-care professional (HCP) perspectives on the global impact that COVID-19 has had, and the future impact it will have on HAE medical care and to identify differences in perceptions across economic and geographic boundaries. Methods: We conducted two independent but similar online global surveys to capture patient and HCP perspectives on the impact that COVID-19 has had, and the future impact it will have on HAE medical care. Results: Both patients and HCPs globally reported that the pandemic has limited the availability of HAE medical care, and they expect the restrictions to continue far beyond the pandemic. In addition, the results of our study suggested that telehealth use has increased across the globe but has been more successfully implemented in high-income countries. Conclusion: Patients and HCPs expect that HAE-related care will be negatively impacted by the pandemic for many years. Disparities in medical care and technologic infrastructure may exacerbate these challenges in non-high-income countries. Supportive tools and global infrastructure should be established to provide aid to non-high-income countries throughout the pandemic and several years after.

Impacts of COVID-19 local spread and Google search trend on the US stock market.

We develop a novel temporal complex network approach to quantify the US county level spread dynamics of COVID-19. We use both conventional econometric and Machine Learning (ML) models that incorporate the local spread dynamics, COVID-19 cases and death, and Google search activities to assess if incorporating information about local spreads improves the predictive accuracy of models for the US stock market. The results suggest that COVID-19 cases and deaths, its local spread, and Google searches have impacts on abnormal stock prices between January 2020 to May 2020. Furthermore, incorporating information about local spread significantly improves the performance of forecasting models of the abnormal stock prices at longer forecasting horizons.

Projections Of Dental Care Use Through 2026: Preventive Care To Increase While Treatment Will Decline.

This study provides a forward-thinking assessment of the factors likely to affect future trends in dental care in the United States. We developed a forecasting model based on historical data from the Medical Expenditure Panel Survey to determine how demographic trends and recent health care policies will affect dental care use in the future. Our forecasts suggest that the medical and dental insurance reforms instituted under the Affordable Care Act will increase rates of dental care use and the number of dental visits, with utilization rates reaching 47 percent in 2026 and the number of visits reaching 334 million, under optimistic assumptions about take-up of pediatric dental coverage. Our forecasting model also indicates that visits for preventive dental care will increase in the future, while visits for dental treatment will decline. Our forecasts can be used to infer future need for different types of dental care providers and to provide policy makers with the information needed to consider the expansion of mandates for dental benefit coverage to adult populations covered by Medicaid, Medicare, and individual and small-group plans sold on health insurance exchanges.