For the past year, we've been building an open data platform for tracking epidemics and curating a global repository of #COVID19 cases. Today, with support from @Googleorg & @RockefellerFdn, I'm proud to introduce @globaldothealth. 1/13
We have an amazing team of engineers, academics, technologists, and entrepreneurs; many of whom have volunteered hundreds of hours helping us build Global.health. You can learn about them and their incredible work here: global.health/about/ 3/13
Including the amazingly talented @rawbubble who, with design support from our @Googleorg Fellows and @Google volunteers, led the implementation and development of our website global.health 4/13
The project started in Jan. 2020 as a volunteer initiative to capture and digitize nCoV-2019 case reports. @MOUGK's first post, describing the open data being curated by @davidmpigott, Moritz, and an international team, is still live on Virological. 5/13 virological.org/t/epidemiologi…
In Feb, we integrated our data with @healthmap and their team of engineers (w/ support from @Mapbox) helped us scale from 10k to ~100k individual #COVID19 cases. @sasvoboda produced an incredible piece for @VICE detailing our efforts. 6/13
By April, we hit the limit of what Google Sheets could handle (~80,000 cases). And, through @Google's COVID initiatives, we worked w/ 10 full-time Google.org Fellows & 7 part-time Google volunteers for 6 months to build a new platform. 7/13 blog.google/outreach-initi…
Writing for the @NYTmag, in mid-summer, @stevenbjohnson, said we had what, "may well be the single most accurate portrait of the virus’s spread through the human population in existence." 8/13 nytimes.com/interactive/20…
Today, we have ~10M individual-level, anonymized #COVID19 cases from 160 countries in an open access data base and are processing another 15M, which we plan to release over the coming weeks. These data represent >20% of all reported cases globally. 10/13 map.covid-19.global.health/#country
Writing for @nature, @amymaxmen says of our launch, "An enormous international database launched today will help epidemiologists to answer burning questions about the coronavirus SARS-CoV-2, such as how rapidly new variants spread among people..." 12/13 nature.com/articles/d4158…
What's next? Our mission is simple, to ensure that societies never again experience the pain and devastation of a pandemic. Whether it's established pathogens like tuberculosis or the next #COVID19 our data systems are ready to respond. Join us @globaldothealth. 13/13
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Building from foundational work in math. epi. and network science, we show how super-spreading creates havoc for pandemic risk predictions based on R0 alone and then derive a method for correcting the predictions. 2/10
This paper includes what I think is the most intuitive explanation for how higher moments in the distribution of secondary infections affects epidemic risk that I've read (@LHDnets & @all_are wrote the following lines). 3/10
Regardless of what happens, 48% of voters in US supported hate, greed, and anti-science. Until we accept and address these persistent issues, we cannot progress as a country.
Since the trolling has started, here’s my logic. In the 10 months leading up to this election, the actions of our incumbent president directly *caused* the deaths of >200k Americans and counting & wiped 12 trillion dollars from our economy.
Anyone voting for him must have an even stronger motive. The only ones I can think of are hate, greed, and anti-science. I file taking away a woman’s right to choose under hate and anti-science.
The intensity of #COVID19 epidemics is heavily influenced by population structure. Our new paper analyzing high-resolution case, population, & mobility data from China and Italy is out today in @NatureMedicine. Co-led w/ @MOUGK & @EvolveDotZoo. 1/15 nature.com/articles/s4159…
Using case data from the "Open COVID-19 Data Working Group" (github.com/beoutbreakprep…), paired with high-resolution population and mobility data, we showed that epidemics are sharper in lower-density areas and broader and longer in big cities. 3/15
Tomorrow I'm speaking @yale_eeb on "Network Theory and COVID-19." My goal is to pull a thread across the 10+ papers we've written on the topic & convince you that #COVID19 became a pandemic because the world does not understand complex systems. h/t to my host @big_data_kane. 1/13
First, building from foundational work in math. epi. and network science, we showed how super-spreading creates havoc for pandemic risk predictions and then derive a method for correcting the predictions. 2/13
Second, how de-coupling the risk of infection from transmission breaks the friendship paradox, which most (non-mass-action) herd immunity thresholds rely on & can mean that backwards case investigation is more important than forward contact tracing. 3/13
I’m fighting for a country where we can just grieve when our heroes die. Where compassion, empathy, and knowledge are valued over greed, power, and ambition.
Make no mistake, it’s the same leaders who perpetuate the grief of families, friends, and communities every time a police officer murders a person of color.
And it’s the same leaders who— through incompetence, arrogance, and anti-science—*let* COVID-19 cause so much grief and prevent us from safely mourning together, for those murdered by police, that die during this pandemic, and for one of the great heroes of our democracy, RBG.
On Saturday from 18:10 - 19 CET, we are hosting a conference-wide plenary panel w/ Diversify NetSci Organizers & Senior NetSci Leadership. We are excited that @netscisociety Prof. President Yamir Moreno (@cosnet_bifi) will join us to discuss the Society's commitment to diversity.
For those, like me, who are interested in how you can be a more effective ally, please join us to listen and learn. All are very welcome.