Researchers at the University of Maryland, Baltimore County (UMBC) have developed a method to investigate the quality of healthcare data using a systematic approach, which is based on creating a taxonomy for data defects thorough literature review and examination of data. Using that taxonomy, the researchers developed software that automatically detects data defects effectively and efficiently.
An article in CMAJ (Canadian Medical Association Journal) analyzes the strengths and limitations of digital contact tracing for people infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to help governments decide if and how they might adopt this technology.
Telemedicine tools developed at UVA Health to battle Ebola have huge potential in the fight against COVID-19, UVA experts report in a new scientific paper. The tools, they say, allow doctors to provide personal, high-quality care while conserving vital personal protective equipment and reducing infection risks.
In response to the COVID-19 pandemic, researchers from the Massachusetts Institute of Technology have published a pair of studies in a COVID-19 special issue of the Harvard Data Science Review, freely available via open access, describing new methods for accelerating drug approvals during pandemics and for providing more accurate measures of the probabilities of success for clinical trials of vaccines and other anti-infective therapies.
Understanding people's short- and long-distance travel patterns can inform economic development, urban planning, and responses to natural disasters, wars and conflicts, disease outbreaks like the COVID-19 pandemic, and more. A new global mapping method, developed by scientists from Boston Children's Hospital and the University of Oxford, provides global estimates of human mobility at much greater resolution than was possible before.
Despite physical distance, it's possible to create proximity between family members located in different places. This is according to a study from Linköping University that has investigated how video calls bring family members together. The results show that proximity in video calls is established mainly by way of the body and the senses, e.g. by giving a digital high five.
Researchers at King's College London, Massachusetts General Hospital and health science company ZOE have developed an artificial intelligence diagnostic that can predict whether someone is likely to have COVID-19 based on their symptoms. Their findings are published today in Nature Medicine.