BEST PRACTICES FOR VIRTUAL CARE TO SUPPORT YOUTH WITH CHRONIC PAIN AND THEIR FAMILIES: A RAPID SYSTEMATIC REVIEW TO INFORM HEALTH CARE AND POLICY DURING COVID-19 AND BEYOND

Best practices for virtual care to support youth with chronic pain and their families: a rapid systematic review to inform health care and policy during COVID-19 and beyond

Abstract.The COVID-19 pandemic has acutely challenged health systems and catalyzed the need for widescale virtual care and digital solutions across all areas of health, including pediatric chronic pain.The objective of this rapid systematic review was to identify recommendations, guidelines, and/or best practices for using virtual care to support y

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Agricultural transformations in the arid, drought-prone region of Kachchh: People-led, market-oriented growth under adverse climatic conditions

Water availability, soil suitability, and favorable climate are the primary requirements for stable agricultural production.However, due to erratic rainfall and scarcity of irrigation water, arid regions suffer from volatile conditions for agriculture.For example, Kachchh, the westernmost district of India in Gujarat, has an arid climate, with more

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Health Effects of Long-Term Exposure to Insecticide-Treated Mosquito Nets in the Control of Malaria in Endemic Regions, Revised

The endemicity of malaria in tropical areas of the world persists, especially in countries south of Saharan Africa.The efforts and concerns invested by the World Health Organization and other health agencies to eradicate malaria are commendable.However, in spite of all these efforts, the loss in economic and human resources continues.In a previous

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Benchmarking Machine Learning Algorithms for Instantaneous Net Surface Shortwave Radiation Retrieval Using Remote Sensing Data

Net surface shortwave radiation (NSSR) is one of the most important fundamental parameters in various land processes.Benefiting from its efficient nonlinear fitting ability, machine learning algorithms have a great potential in the retrieval of NSSR.However, few studies have explored the level of accuracy that machine learning algorithms can reach

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