Real-time epidemic forecasting tool to support global outbreak monitoring
Imperial researchers have developed a new forecasting tool to support global outbreak monitoring for COVID-19 and other deadly diseases.
May 13, 2022
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Imperial researchers have developed a new forecasting tool to support global outbreak monitoring for COVID-19 and other deadly diseases.
May 13, 2022
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Researchers from HSE University have shown how the brain works differently depending on whether a subject is dealing with common (shared) or private natural resources. The ventral striatum—the so-called pleasure center—plays ...
Mar 18, 2022
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Malaria and typhoid fever are major health problems in tropical regions, but accurate diagnosis is often hampered by overlapping or nonspecific symptoms and limited access to diagnostics. Now, NIBIB-funded scientists have ...
Mar 11, 2022
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Using cellphone mobility data and COVID-19 hospital admissions data, researchers at The University of Texas at Austin have reliably forecast regional hospital demands for almost two years, according to a new study published ...
Feb 3, 2022
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Although extreme poverty in the United States is low by global standards, the U.S. has the worst index of health and social problems as a function of income inequality. In a newly published article, Bettina Beech, clinical ...
Nov 11, 2021
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Counties that banned in-person religious gatherings and those with a greater number of hospitals per capita were associated with a decreased case-fatality rate of COVID-19 during the pandemic's first wave, according to a ...
Oct 18, 2021
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Someday, your smartwatch might be able to tell you if you're coming down with a virus and how sick you'll be—even before symptoms start.
Sep 30, 2021
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The COVID-19 pandemic changed just about every aspect of normal life, including how we bought food.
Jul 13, 2021
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Information on individuals' mobility—where they go as measured by their smartphones—has been used widely in devising and evaluating ways to respond to COVID-19, including how to target public health resources. Yet little ...
Mar 17, 2021
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Machine learning can help public health officials identify children most at risk of lead poisoning, enabling them to concentrate their limited resources on preventing poisonings rather than remediating homes only after a ...
Sep 16, 2020
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