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https://healthpayerintelligence.com/news/covid-19-spotlights-3-payer-telehealth-expansion-challenges
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Thursday, June 18, 2020
June 18 - HELP Committee and other Telehealth news
Thursday, May 14, 2020
California's COVID Plateau: Who Is Getting Sick?
https://www.latimes.com/california/story/2020-05-13/two-big-reasons-california-has-struggled-to-control-coronavirus
California hasn’t seen the huge death toll from the novel coronavirus like New York and other hot spots, but the state is still struggling with a growing number of fatalities and confirmed cases.
COVID-19 deaths in California remain at a stubborn plateau. Mirroring a trend seen nationally, California has not seen a sustained decline in deaths over the past month, a Los Angeles Times analysis found. During the seven-day period that ended Sunday, 503 people in California died from the virus — the second-highest weekly death toll in the course of the pandemic and a 1.6% increase from the previous week’s toll.
...
A UC San Francisco study of thousands of residents and workers in the city’s Mission District found that 57% of those tested must leave their homes for work, and those who had to leave home to work accounted for 90% of the positive cases. Nearly 89% of those who tested positive earn less than $50,000 a year, and most live in households with three or more people.
While Latinos made up 44% of those tested, they accounted for more than 99% of the positive COVID-19 cases.
Many residents and workers in the Mission District are employed in essential services such as agriculture, construction, manufacturing, restaurants, grocery stores and janitorial and domestic services, the university said.
https://www.ucsf.edu/news/2020/05/417356/initial-results-mission-district-covid-19-testing-announced
Thursday, May 7, 2020
COVID Essays, Genomics, Maps - May 7, 2020
Some COVID highlights right now....
In Forbes, Jun Wu interviews Yaneer Bay-Yam, (New England Complex Systems Institute) on COVID math, modeling, and policy.
https://www.forbes.com/sites/cognitiveworld/2020/05/07/this-professor-says-weve-been-looking-at-the-coronavirus-data-wrong/#38cc13083402
Figure from:
https://www.endcoronavirus.org/
See another essayist on Flatten the Curve (or not)
https://www.drjohnm.org/2020/05/can-we-discuss-flatten-the-curve-in-covid19-my-eight-assertions/
Dr. John Mandrola. (He describes his viewpoint as potentially controversial and welcomes comment.) I would summarize in my own words as this:
My essay would be:
Although it later, this graphic from Endcoronavirus.org makes my point. My model 1 is the first use of isolation, which is "crush the curve" (tiny yellow curve at left in figure below) whereas U.S. is barely getting to "flatten it" on the same graph. Also from: https://www.endcoronavirus.org/
xxx
May 7 opened with an article from New York Times, "Travel from NYC Seeded US Outbreaks" -- Another in what will be a rapidly growing wave of articles showing how important COVID genomics, and not just COVID PCR tests, will be.
https://www.nytimes.com/2020/05/07/us/new-york-city-coronavirus-outbreak.html
CNBC and other sources described data, released by Cuoma the day before, that most NYC new cases (in hospitals) are stay at home people. They describe it as "very surprising" that most new hospitalizations are stay at home people. See 18% nursing home residents, 66% stay at home. First responders, health workers, don't make the chart.
One logical point might be that there are 8M stay at home people, 100,000 first responders and hospital workers? Still.
Cuomo said he and public health figures were "shocked" to see the data below. It seems like core mission critical data and I don't know how it took 8 weeks to figure it out. I have been pointing out to friends that this is the type of data we need critically.
https://www.cnbc.com/2020/05/06/ny-gov-cuomo-says-its-shocking-most-new-coronavirus-hospitalizations-are-people-staying-home.html
In Forbes, Jun Wu interviews Yaneer Bay-Yam, (New England Complex Systems Institute) on COVID math, modeling, and policy.
https://www.forbes.com/sites/cognitiveworld/2020/05/07/this-professor-says-weve-been-looking-at-the-coronavirus-data-wrong/#38cc13083402
Figure from:
https://www.endcoronavirus.org/
See another essayist on Flatten the Curve (or not)
https://www.drjohnm.org/2020/05/can-we-discuss-flatten-the-curve-in-covid19-my-eight-assertions/
Dr. John Mandrola. (He describes his viewpoint as potentially controversial and welcomes comment.) I would summarize in my own words as this:
My essay would be:
There are three different uses of home lockdown, two of which clearly make sense.
1) ABSOLUTE LOCKDOWN - SUFFOCATE VIRUS
This has worked in a few places, either very small places or places with a lot of military police. You look people down and in 14 days there is a dramatic drop in new infections. By 21 or 25 days there are practically no new infections at all.
2) LOCKDOWN TO "FLATTEN THE CURVE"
This has been the US approach. You have some place where new cases, or hospitalizations, are clearly spiking, like NYC. You have lockdown and "flatten the curve." The new cases are 5000, 6000, 7000 instead of 5000, 15,000, 20,000, 30,000. You have flattened the curve. You have reduced or mitigated the "disaster state" level in hospitals. This goes on for several weeks - 3,4,5, even 6 weeks.
3) LOCKDOWN TO "FLATTEN THE CURVE INDEFINITELY"
This is more suspicious. This is where LA is now. Cases rise from 100 to 500 to 1000 a day; you have lockdown; they go to 1100, 1150, 1200, back to 1150, and plateau around 800 or 900 a day. The problem is, this can go on FOREVER. Mayors say "one more week" or "a few more weeks" but it's unclear there will be any difference between 800 new cases in week 7 or 800 new cases in week 9 or 10 or 11 or week 20. There is no light at the end of the tunnel. There are 10M people in New York, 10M people in LA, you will never drain the pool of people and you will have lockdown with 1000 new cases a day practically forever. If you have 1000 cases a day for 90 days it is 90,000 cases out of 10M people. How many don't have the virus at 90 days? 9.999M people, which is basically, 10M people.
This is more suspicious. This is where LA is now. Cases rise from 100 to 500 to 1000 a day; you have lockdown; they go to 1100, 1150, 1200, back to 1150, and plateau around 800 or 900 a day. The problem is, this can go on FOREVER. Mayors say "one more week" or "a few more weeks" but it's unclear there will be any difference between 800 new cases in week 7 or 800 new cases in week 9 or 10 or 11 or week 20. There is no light at the end of the tunnel. There are 10M people in New York, 10M people in LA, you will never drain the pool of people and you will have lockdown with 1000 new cases a day practically forever. If you have 1000 cases a day for 90 days it is 90,000 cases out of 10M people. How many don't have the virus at 90 days? 9.999M people, which is basically, 10M people.
Although it later, this graphic from Endcoronavirus.org makes my point. My model 1 is the first use of isolation, which is "crush the curve" (tiny yellow curve at left in figure below) whereas U.S. is barely getting to "flatten it" on the same graph. Also from: https://www.endcoronavirus.org/
xxx
May 7 opened with an article from New York Times, "Travel from NYC Seeded US Outbreaks" -- Another in what will be a rapidly growing wave of articles showing how important COVID genomics, and not just COVID PCR tests, will be.
https://www.nytimes.com/2020/05/07/us/new-york-city-coronavirus-outbreak.html
CNBC and other sources described data, released by Cuoma the day before, that most NYC new cases (in hospitals) are stay at home people. They describe it as "very surprising" that most new hospitalizations are stay at home people. See 18% nursing home residents, 66% stay at home. First responders, health workers, don't make the chart.
One logical point might be that there are 8M stay at home people, 100,000 first responders and hospital workers? Still.
Cuomo said he and public health figures were "shocked" to see the data below. It seems like core mission critical data and I don't know how it took 8 weeks to figure it out. I have been pointing out to friends that this is the type of data we need critically.
https://www.cnbc.com/2020/05/06/ny-gov-cuomo-says-its-shocking-most-new-coronavirus-hospitalizations-are-people-staying-home.html
Monday, May 4, 2020
ICER and Remdesivir
May 4 2020
Biopharm Dive
https://www.biopharmadive.com/news/gilead-remdesivir-icer-coronavirus-drug-price/577282/
$10 cost recovery price
http://viruseradication.com/journal-details/Minimum_costs_to_manufacture_new_treatments_for_COVID-19/
ICER
https://icer-review.org/announcements/alternative_pricing_models_for_remdesivir/
ICER COVID models
https://icer-review.org/material/icer-covid-models/
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Endpoints
https://endpts.com/with-the-pricing-ball-in-gileads-court-icer-offers-some-parameters-on-how-it-can-be-played-analyst-sees-at-least-1b-in-theory/
Bloomberg
https://www.bloomberg.com/news/articles/2020-05-04/gilead-could-make-a-profit-from-covid-19-drug-analysts-say
Business Insider
https://www.businessinsider.com/coronavirus-treatment-icer-pricing-analysis-on-gileads-remdesivir-2020-5
Fierce Pharma
https://www.fiercepharma.com/marketing/gilead-s-covid-19-therapy-remdesivir-worth-4-460-per-course-says-pricing-watchdog
Biopharm Dive
https://www.biopharmadive.com/news/gilead-remdesivir-icer-coronavirus-drug-price/577282/
$10 cost recovery price
http://viruseradication.com/journal-details/Minimum_costs_to_manufacture_new_treatments_for_COVID-19/
ICER
https://icer-review.org/announcements/alternative_pricing_models_for_remdesivir/
ICER COVID models
https://icer-review.org/material/icer-covid-models/
##
Endpoints
https://endpts.com/with-the-pricing-ball-in-gileads-court-icer-offers-some-parameters-on-how-it-can-be-played-analyst-sees-at-least-1b-in-theory/
Bloomberg
https://www.bloomberg.com/news/articles/2020-05-04/gilead-could-make-a-profit-from-covid-19-drug-analysts-say
Business Insider
https://www.businessinsider.com/coronavirus-treatment-icer-pricing-analysis-on-gileads-remdesivir-2020-5
Fierce Pharma
https://www.fiercepharma.com/marketing/gilead-s-covid-19-therapy-remdesivir-worth-4-460-per-course-says-pricing-watchdog
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