`You have people near you with Cr data to predict new hotspots


Self-reporting has a problem with signal and noise, of course: worrying well and people who may share the syndrome but are sick with another organism can control the data. But, with nearly a decade of operative flu and confirmation of the results released during each disease flu season published by the Centers for Disease Control and Prevention, Braunstein is confident that Covid-19 data will have predictable value.

"What we're seeing confirms the hotspots in the cities," he said, "but outside of New York we're starting to grow in places like NASA and Cape Cod." These are places that people don't talk about yet. ”

Covid's diagnosis is not close to you, of course. The increase in hotspots may indicate public health officials where the disease may further increase. Seeing the results can also help individual citizens become more engaged. This may reinforce their decision to keep their social distance, while pressure builds measures, or encourages people to participate in seroservatives that demonstrate an individual's potential immunity and relatively safe public safety after these tests are removed.

Syndromic tracking had a mixed reputation. If people know about it at all, it could be because of Google Flu Trends, a project that seeks to expose early warnings of the flu season by analyzing places where people typed search terms related to the flu on a Google index page: "Flu Symptoms For example, or" Orange juice "or" chicken soup ". Google Flu Trends debuted in 2008 and failed to make the show during the 2013 flu season. Among the general public, he left the vague opinion that big data would not be predicted for useful public health.

But at this point, big data from individuals and institutions has already been passed on to the public health service. Syndrome surveillance has raised concerns since 9/11 that the United States could use biological weapons, the first symptoms of which can be seen in emergency rooms, as common syndromes – fever, chills, breathing problems – can be distinguished from colds and flu. . A letter from Antarctica a month after the attack reinforced this fear; The first case, in Florida, was discovered by a warning doctor who realized the patient’s flaccid disease, which led to a more terrible condition.

Farzad Mustashar, a physician, epidemiologist and former CDC epidemic intelligence officer, worked at the New York Department of Health at the time. He made efforts to collect data from city hospitals and ambulance rooms to explain the department's information on flu symptoms and clusters of unusual diseases – a system that is still working and may signal early Covid-19 signals, as he noted on Twitter. March 7.

Mustashar became the International Health IT Information Coordinator at the Obama Administration and took advantage of the fact that the White House National Economic Stimulation Act helped engineer American hospitals translate health records into electronic records. Building in this wiring was a commitment to harvest and send de-identified syndromic data into the system. It has become what is now the Federal National Syndromic Surveillance System, hosted by the CDC, which collects data from about 70 percent of U.S. ambulance rooms.

"Syndromic observations have become part of the public health practice," said Mustashar, who is currently the CEO of Aldade, a startup that uses data analysis to manage primary medical practice. "We now have three types of public health surveillance in the United States: laboratory surveillance, clinical reporting, and then added syndromic surveillance."

This type of syndromic surveillance – reporting signs and symptoms recorded during medical care – can help a country figure out how to open a Covid-19 peak after passing. Mostashari is the author of several articles for the National Covid-19 National Surveillance System, published April 7 by the Margolis Health Policy Center at Duke University. The plan has four columns; Syndromic surveillance is second to none. The authors argue that expanding the existing national system and removing additional data streams will help to identify new Covid-19 disease in a timely manner, to test potentially infected, and to isolate them before disease. "A visit-based syndromic visit will be an absolutely important part of Arsenal's work," said Karshashkari.

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