Weekly COVID-19 outbreak reports from cities around the world

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Chemung County

These are the stories of researchers, epidemiologists, and physicians racing to understand and predict the COVID-19 pandemic in their cities, told each week one city a time…

In a small, rural hospital in upstate New York, Dr. Asad Nasir sat in front of his computer adjusting a slider on a website that lets you quickly model different outbreak scenarios. Unlike the sprawling urban center of New York City a few hours to the south, there were no teams of data scientists and epidemiologists flocking to model the outbreak in his county. …

Weekly COVID-19 outbreak reports from cities around the world

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Social distancing in New York City has left one the world’s most vibrant urban centers eerily quiet.

As part of a massive crowd sourced research effort, flashpub.io has organized local groups of epidemiologists, data scientists, and researchers to predict how the outbreak will affect their local communities. These are their stories, told one city a time…

New York City’s first COVID-19 case was confirmed on March 1st. A month later, there are now over 60,000 confirmed cases, thousands of deaths, and the city’s hospital capacity is being tested as health care work force is rapidly adapting to an unprecedented surge in hospitalizations.

For the last month, a small research team led by Keena Roberts, an epidemiologist from Johns Hopkins, and Jordan Poles, an NYU medical student, has been developing an effective method for modeling outbreak dynamics in NYC. …

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The smallest unit of medical knowledge is a single case — one patient, one treatment, one outcome. Did they get better?

While one patient’s outcome says little about what may or may not be true for other patients, together case reports could speak volumes. Promising trends in off-label drug use, refinements to clinical trial conclusions, and the untapped potential of big data in health records are still largely siloed within the halls of hospitals.

There are efforts by large tech companies to extract this data — for private use. Google, Microsoft, and Amazon are all aggressively pushing to get access to health care systems to help streamline and improve the notoriously inefficient healthcare industry. …



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