To achieve this, she and her co-authors recommended building a network of mega-labs that would allow the analysis of at least five million tests a day. Those tests would enable a massive program of testing, contact tracing, and supported isolation. Giroir, the testing czar, says that he does not expect to be able to extinguish the disease entirely. Scott Becker, the C. With the financial backing of the state government and the university, the lab rented an additional fourteen thousand square feet, blew out several walls, put in wiring and pipes, and installed two new Roche instruments, improving its capacity from a thousand tests per day to eighty-five hundred.
As of this past week, however, he and his colleagues were running at about a third of their current capacity. At a press conference on Monday, Trump announced that the government would be shipping nearly thirteen million swabs and nearly ten million tubes of viral transport media to labs in May.
And, on April 29th, the Defense Department announced that it would invoke the Defense Production Act and spend seventy-five-and-a-half million dollars to double the output of a swab factory in Maine. Testing is a local thing. When a reporter asked about the lack of test components, such as swabs and reagents, Trump waved him off.
But, if access to testing is driven by the ability to pay, existing disparities in medical care, which tend to break down along racial and economic lines , will be exacerbated even further. Democrats in Congress have proposed several bills to address these issues. New Jersey has been battered by the coronavirus pandemic, with more deaths and confirmed cases than any other state but New York.
As Murphy, who generally has a low-key, earnest energy, sat with Trump in the White House, the accumulated anguish of the crisis was visible on his ruddy face. At the time, New Jersey was running about eight thousand tests per day, with a positivity rate of just under forty per cent—about four times higher than experts like Jha recommend. The spot positivity rate has since fallen to twenty-three per cent. Is it where I would have hoped we as a nation would have started?
A four-part strategy of hygiene, distancing, screening, and masks will not return us to normal life. But, when signs indicate that the virus is under control, it could get people out of their homes and moving again. By Atul Gawande. To fill the vacuum left by the federal government, doctors are relying on informal networks to get the information and the support they need.
By Robert P. Experts from a variety of fields offer their professional takes on the coronavirus. The Daily The best of The New Yorker , every day, in your in-box, plus occasional alerts when we publish major stories. As of mid-April, U. In all, some 4 million tests had been conducted in the U. In the U. At this point, the U. Some options include prioritizing states with the most infections and deaths from COVID; areas where health systems are overwhelmed; or groups that have the most contact with others, such as health workers and grocery store clerks.
One purpose of the mathematical models I work with is to help policymakers determine which population groups should be prioritized and how. There are different reasons to prioritize different groups. For example, older adults and people with chronic illnesses have a higher likelihood of developing severe conditions if they get COVID First responders, health workers, teachers and others who have close contact with large numbers of people also have a high chance of getting and spreading the disease.
People living in close quarters such as nursing homes or prisons also run a high risk of infection. Once priority groups are identified, models can show where to locate testing facilities and how to allocate the tests kits and other resources most efficiently.
There is a large body of research that has traditionally been used to site retail stores, optimize inventory and production and manage stock levels as demand for products fluctuates by season. The same mathematical models used to help retail companies like Amazon meet demand quickly for a wide range of products could incorporate test-manufacturing capacities, the needs of different populations and goals such as increasing testing speed and coverage.
Retail companies know the demand patterns for most of their products quite well, given repeated orders and seasonal trends. But U. Adding to the complications, test results can create a biased picture of the pandemic depending on how many tests are done in each area and who was tested.
Whether the U.
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