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Thrilled to see OPCAST recognize the need for a national epidemic forecasting and analytics capability @dylanbgeorge https://twitter.com/mlipsitch/status/1310668517587529731
New report from members of Obama's President's Council of Advisors on Sci and Tech (OPCAST) on need for epidemic modeling for pandemic preparedness. Prior reports on data, and other important topics. http://opcast.org/
If you like learning about vaccine study design, I will be giving a 2 hour tutorial at the upcoming @ENAR_ibs meeting in March 2021! Abstract attached. (But I will also make more Twitter threads between now and then!) https://twitter.com/nataliexdean/status/1310613702476017666
VACCINE EFFICACY 101: A biostatistician's primer
Ten tweets to cover:
- How is vaccine efficacy calculated?
- Distinguishing between infection, disease, & severe disease.
- Measuring reduced infectiousness.
- Vaccine efficacy vs. effectiveness!
Thank you to everyone who joined us for our first seminar in our #COVID19 and Health Inequities series.
Our next guest will be Jarvis Chen on Thursday, October 1 at 2pm ET on Tracking the Unequal Burden of COVID-19 in the United States. http://bit.ly/3bN4mFl
Next MIDAS Webinar is tomorrow!
Friday Sep 25, 12-1pm ET (US). Guest speakers
@TAlexPerkins @guido_camargo @Justin_Remais @JenniferR_Head @KristinAndrejko & Daniel Klein.
Topic: Impact of #schoolreopening on COVID-19 transmission
Register now!
#COVID19
MIDAS Webinar: The impact of school reopening on COVID-19 transmission: modeling studies in Indiana, the San Francisco Bay Area, and King County, WA.
Join us for our next webinar, featuring research by MIDAS members on COVID-19 and school reopening.
midasnetwork.us
We are looking for a postdoc to work on data-driven flu/covid modeling with cohort and surveillance data. If you're interested in reconstructing transmission with Bayesian models and detailed contact and genomic data, get in touch!
Highly recommend this paper. @tomcm39, @reichlab, & collaborators ran a months-long "prediction market" of infectious disease modelers, epis, etc.. around #COVID19. I found the results each week fascinating and the synthesis paints such an interesting picture of this past spring! https://twitter.com/tomcm39/status/1308821310940774400
New paper out on our work asking experts in the modeling of infectious disease to predict the US early #COVID19 outbreak. Expert predictions provided valuable insight of future societal burden during the early stages of the #COVID19 #pandemic in the US. https://medrxiv.org/cgi/content/short/2020.09.21.20196725v1
"We’re about to have a really big question answered, and that is: What’s going to happen when the weather turns cold again, when we enter the fall and winter months?" said @JustinLessler. https://www.bloomberg.com/news/articles/2020-09-18/u-s-stands-on-verge-of-dark-new-milestone-200-000-virus-deaths via @business
Thursday 9/24 at 2pm ET: @BonnieSwenorPhD will be discussing #COVID19 and #Disability: An Unequal Response as part of our new seminar series COVID-19 and Health Inequities. http://bit.ly/3bN4mFl
Early Insights from Statistical and Mathematical Modeling of Key Epidemiologic Parameters of COVID-19
@alexvespi @apastorepiontti
Early Insights from Statistical and Mathematical Modeling of Key Epidemiologic Parameters of COVID-19
The Network Science Institute (NetSI) at Northeastern University is a multi-disciplinary research community supporting innovative research and trainin...
www.networkscienceinstitute.org
Join us tomorrow (13 - 1740 CET) & Sat (15 - 19 CET) for the Diversify NetSci Satellite. We (@dinacmistry, @_leotrs, @foucaultwelles, @big_data_kane, and I) have put together a two-day event dedicated to advancing diversity, inclusion, & equity in Net Sci.
Diversify NetSci 2020
The Network Science Institute (NetSI) at Northeastern University is a multi-disciplinary research community supporting innovative research and trainin...
www.networkscienceinstitute.org
A massive dataset of Covid-19 symptom surveys from MILLIONS of people worldwide has been released by @Facebook.
The competition is on to see how we can use it to help fight the ongoing pandemic, organized by @catalyst_H20.
More details here: https://www.symptomchallenge.org/
A team of UF researchers led by @datcummings of @UF_CLAS and @uf_idd sifted through 2,452 human coronavirus studies with the goal of learning from the past to help inform a future shared with #COVID19. Catch the highlights:
@UFNews @UFExplore
UF researchers scour coronavirus studies for clues to a future shared with COVID-19
Sept. 17, 2020: UF researchers sifted through several thousand studies on human coronaviruses related to the novel SARS-CoV-2 which causes COVID-19, w...
bit.ly
@PejRohani and Tobias Brett have developed a new machine learning algorithm to predict the reemergence of existing infectious diseases.
New algorithm signals a possible disease resurgence
For existing infectious diseases, it can provide early warning of an outbreak.
t.uga.edu
Thoughts on a new study showing immunity to human coronaviruses wanes in as little as six months #COVID19 @ForbesScience
/https://specials-images.forbesimg.com/imageserve/5f612011171b44ebf788f91c/0x0.jpg?cropX1=0&cropX2=4344&cropY1=279&cropY2=2723)
You‘re A Covid-19 Survivor â How Long Will Your Immunity Last?
A new study reports on the duration of protective immunity in four human coronaviruses related to SARS-CoV-2.
www.forbes.com
New dashboard out today of #COVID19 hospitalizations and ICU projections across #Texas Trauma Service Areas (TSA)
Dashboard: https://covid-19.tacc.utexas.edu/texas-projections/
TSA map: https://www.dshs.texas.gov/emstraumasystems/etrarac.shtm
New Dashboards Launched to Track COVID-19 Across Texas Communities - UT News
AUSTIN, Texas — The University of Texas at Austin’s COVID-19 Modeling Consortium has launched a new online dashboard to track the spread and i...
news.utexas.edu
With @cmyeaton, we take a critical look at how #COVID19 models can and should be used. Key points:
1. Don't confuse forecast and scenario models.
2. They are both useful in their own ways.
3. Interpret forecasts >1 month in the future cautiously.
https://www.washingtonpost.com/outlook/2020/09/15/scientists-want-predict-covid-19s-long-term-trajectory-heres-why-they-cant/