Keeping Up-to-Date with COVID-19

Here are some resources I depend on to update my understanding of this pandemic. (For more of an intro, see this page.)

First, the numbers:

• Raw numbers: https://coronavirus.1point3acres.com/en
• Numbers charted: https://www.ft.com/coronavirus-latest
• The JHU Dashboard is still good, though I mostly rely on the above two now: https://www.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6

Authoritative Twitter sources I read religiously:

• Scott Gottlieb (previous FDA Commisssioner) is not so secretly perhaps the most influential person right now in how the US is responding — POLITICO calls him the “Shadow Czar.” His tweets are extremely informational and well thought-out. Definitely read all the AEI reports he links to: https://twitter.com/ScottGottliebMDBob Wachter is head of UCSF Dept of Medicine. He does a daily recap thread in the evening that is superb — I look forward to it now every evening: https://twitter.com/Bob_Wachter
• Andy Slavitt (former CMS head; former head of Optum) does a great job of telling stores across the US: https://twitter.com/ASlavitt. It’s quite informational, and also often brings a very human aspect to the updates. Like Wachter, he does a daily evening thread that I strongly encourage you read. He also has a COVID-19-focused podcast that tells a lot of these human stories: http://www.westwoodonepodcasts.com/pods/in-the-bubble-with-andy-slavitt/
• I’ve also curated my own own Twitter list containing the above accounts and many more: https://twitter.com/i/lists/1239042160483110912

Here are 4 quantitative models that are good to check and play with to get an idea of estimates. Please note the end date of these models.

• The IHME model that has become somewhat of a standard here in the US: https://covid19.healthdata.org/united-states-of-america
• Another model on a county level: https://covidactnow.org/us/va/county/fairfax_county
• NYTimes interactive model, where you can play with lots of knobs: https://www.nytimes.com/interactive/2020/03/25/opinion/coronavirus-trump-reopen-america.html
• This one requires a bit more epi background, but is extremely useful by estimating the R_eff and estimated infection dates for each state. Mike Krieger and Kevin Systrom (Instagram founders) have a similar site: https://rt.live/, but I find the former one better presented.

Here’s a weekly survey of epidemiology experts on their numerical predictions: https://works.bepress.com/mcandrew/

Some medical/research sources:

• UCSF Grand Rounds and other presentations are incredibly good medical updates on COVID-19: https://www.youtube.com/playlist?list=PLP08XsLK51QzLF3JRxNGFlXx35fWcdA4r
• Keep up-to-date on the vaccine prospects here: https://vac-lshtm.shinyapps.io/ncov_vaccine_landscape/
• WHO has a bunch of publications on current research in this page: https://www.who.int/blueprint/priority-diseases/key-action/novel-coronavirus/en/. In particular, under the Vaccines section, the “Draft landscape of COVID-19 candidate vaccines” summarizes all vaccines under investigation; under the Therapeutics section, “Landscape analysis of candidate therapeutics for COVID-19” summarizes all therapeutics being considered.
• NextStrain has the genomic epidemiology of SARS-CoV-2: https://nextstrain.org/ncov/global