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Anupam Jena
Ruth L. Newhouse Associate Professor at Harvard Medical School
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Anupam Jena retweeted
Dan Gorenstein Apr 3
As hospital capacity dwindles, a new question becomes critical. Where do COVID patients go when they’re no longer sick enough for the hospital, but still need serious care?
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Anupam Jena retweeted
AEA Journals Apr 2
Income transparency might help reduce pay disparity, but knowing how much other people earn could widen the gap in how happy we all are, according to a researcher at
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Anupam Jena retweeted
Dan Gorenstein Apr 2
When charging a phone becomes one of the most important things you do. on treating her ICU patients who now are alone.
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Anupam Jena Apr 1
Replying to @johngraves9
John do you know if these are even getting national figures right much less state level. It may be a lot to ask of these models to predict July but if they are getting next week wrong we would need to reconsider how much we are getting from these estimates.
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Anupam Jena retweeted
Michael L. Barnett Mar 29
I propose that toddlers get Covid-19 serology tests first. Then we have Covid IgG+ preschools while we sort everything else out. Please.
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Anupam Jena Mar 28
Replying to @Chris_Auld
This is literally the first time I have seen anyone cite to Philipson’s work in this whole epidemic!
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Jason Abaluck Mar 27
Replying to @Jabaluck
2) We should immediately ascertain the benefits of masks. Spend a few million dollars, pick 100 counties in the US, and send a dozen cloth masks to everyone in half of those counties. In a few weeks, we know whether a $3 billion investment generates a trillion dollars or more.
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Anupam Jena Mar 25
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Anupam Jena retweeted
David Grabowski Mar 25
"In an epidemic like the COVID-19 outbreak, our response will only be as strong as the weakest, most vulnerable link." New piece with on why nursing homes are "ground zero" for COVID-19 and how we can protect older residents.
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Anupam Jena Mar 25
Please download and listen to this timely and important podcast that and the team are putting out (that includes , myself, many others). They are striving to stay on top of the news in a format that’s just different.
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Anupam Jena retweeted
Dan Gorenstein Mar 25
“There’s not a light right now at the end of this tunnel that I can see.”
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Anupam Jena retweeted
Preeti Malani Mar 22
Wondering if any large health systems have stood up medical barracks in student housing/hotels/other sites--both for patient care/HCW housing/quarantine. Please share details & guidance. Thank you
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Anupam Jena Mar 22
Replying to @realTonyHui @jflier
Interesting, had not seen it! Is there a biological mechanism that’s been proposed?
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Anupam Jena Mar 22
*** Some physicians who are on may have received a 2-min survey via the email digest on ‘Assessing Physician Sentiment to COVID-19: A Harvard and RAND Corporation Survey’ *** We’re surveying a lot of docs on docs’ views - please fill out if you get it and Retweet this!
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Tradeoffs Mar 21
Congrats to all the future docs who matched yesterday on . Our latest episode looks at how the federal government distributes billions of dollars to pay for residencies and the role it plays in physician shortages across the country.
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Anupam Jena Mar 21
Replying to @raffasadun
Yes totally agree! We both know from US data that there is large variation in outcomes across hospitals that’s based on good quasi experimental evidence.
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Anupam Jena Mar 21
I am curious to know hospital mortality in Italian hospitals by calendar day. If this is about health system strain AND strain is increasing the daily hospital mortality for COVID & non COVID should be increasing. For modelers it places bound on what’s health system strain effect
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Anupam Jena Mar 21
Replying to @jflier
Good point and I would focus on the extremes of the distribution to explain deaths bc the median is unaffected by the spread but the high tail is where many deaths are occurring
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Anupam Jena Mar 21
Yes, great point. The time series would tell us what’s happening with the true reproduction number of deaths although it would be 2 weeks dated
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Anupam Jena Mar 20
Replying to @djc795
I see, I assume that despite those testing difficulties, sufficient testing was able to accurately attribute deaths from COVID (or at least more accurately). Put differently, there's got to be away to address testing bias issue that makes estimation of epi parameters tricky
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