A new machine-learning program accurately identifies COVID-19-related conspiracy theories on social media and models how they evolved over time--a tool that could someday help public health officials combat misinformation online.
An interdisciplinary research project carried out by the UOC used a method to quantify more accurately the gender gap on the Spanish-language Wikipedia site
Researchers from the Singapore-MIT Alliance for Research and Technology developed a synthetic framework known as theory-based residual neural network (TB-ResNet) to improve individual decision-making analysis used in travel behaviour research. The research explains that data-driven and theory-driven models, which are generally used as separate methods that are conflicting, are actually highly complementary and can provide valuable insights into urban transportation planning.
Researchers at the Medical University of South Carolina have developed a new digital platform called Research Integrated Network of Systems (RINS). This platform enables information about clinical studies to be more easily shared across disparate systems. RINS provides a much-needed means to track clinical studies and measure their success. The decentralized program allows users from different disciplines or administrative offices to utilize the system that works best for them while maintaining a comprehensive reporting mechanism.
Microphones and cameras are everywhere today: in smartphones, laptops, even in refrigerators and televisions. Many people are now used to their presence and no longer see them for what they actually are - ubiquitous eyes and ears. A team of computer scientists from Saarland University uses an innovative design approach to critically question this sensory technology that has become part of everyday life.
The U.S. and South Korea recorded their first official COVID-19 case on the same day, but there were notable differences in how each country addressed the world's most severe pandemic since 1918. A group of researchers recently conducted a study in which they applied data taken from South Korea's response to COVID-19 to develop a methodological framework for identifying pockets of COVID-19-vulnerable populations through the use of socioeconomic status and epidemiological determinants.
Online marketers have seen the pattern: 95%-98% of online visitors search for something, but the search never converts into a purchase and they leave the site without buying. For marketers, this results in speculation and assumptions that can lead to wasted time and investments in ineffective marketing programs.
As the pandemic stretches health care workers ever thinner, an IT specialist and a physician-wellness expert teamed up to tackle a major cause of burnout -- patient records. The study recommends specific ways to lighten the records load and protect doctors from burnout.
COVID-19 has been shown to spread on airplanes by infected passengers, so minimizing the risk of secondary infections aboard aircraft may save lives. New research in the INFORMS journal Service Science uses two models to help solve the airplane seating assignment problem (ASAP). The models can lower the transmission risk of COVID-19 more so than the strategy of blocking the middle seats, given the same number of passengers.
Researchers at Seattle's Institute for Systems Biology and their collaborators looked at the electronic health records of nearly 630,000 patients who were tested for SARS-CoV-2, and found stark disparities in COVID-19 outcomes -- odds of infection, hospitalization, and in-hospital mortality -- between White and non-White minority racial and ethnic groups. The work was published in the journal Clinical Infectious Diseases.