Great discussions at the @MOOD_H2020 conference in Trento. A balanced preparedness budget split between anticipation of spillovers and response de pandemics is absolutely needed !
The @MOOD_H2020 conference on zoonotic disease emergence and digital data resources for epidemic intelligence kicking off now in beautiful Trento Italy @geomatys
@DextraordinaryH@Md_Harris@hadleywickham@mdsumner I want to lobby for `%ni%` <- Negate(`%in%`). Saw it somewhere and have been using it since. It's the inverse of `in` and it means "neither" in French/Espagnol !!
Please Rt and feel free to suggest participants even if you can’t attend! We want diversity in fields to creat a more holistic in depth vision of #eeid details below 👇🏼
Congratulations to @cl_murall, @bjesseshapiro, and co-authors on this excellent study. They combined genomic analyses with epidemiology to track the first wave of SARS-CoV-2 in Québec back to a few introductory cases.
Really proud to be Dr. Shapiro's colleague in @CoVaRR_Net!
Thankful to the organizers for the invitation to talk at the #SM2021 symposium on COVID-19 control. Very strong modeling work presented today and throughout this conference!! #conference#modeling#research#covid
@lumaenergypr Sin servicio. Voy a presentar mi trabajo sobre COVID-19 en una conferencia internacional en una hora y usaré mi móvil para internet y una vela para la luz. Que vergüenza. @lumaenergypr por lo menos avisan adelante...
Our paper "SARS-CoV-2 Transmission From People Without COVID-19 Symptoms" is out -- proud to have worked on this w/great mentors & colleagues https://t.co/2PAGxsjfN3 via @JAMANetworkOpen part of @JAMANetwork@sarah_kada@majohanss#COVID19
OPINION
The best tool available to stop SARS-CoV-2 is EMPOWERING ppl w knowledge of their contagious status.
We've asked the public to act like they are contagious 100% of the time. For a year - exhausting!
Fast •Frequent •Accessible at-home tests are about empowering ppl
Our review paper at @CDC_EIDjournal is finally out
Early Insights from Statistical and Mathematical Modeling of Key Epidemiologic Parameters of COVID-19
https://t.co/cHXznvFf1R
Viral load data are valuable to infer the timing of infection and distinguish between imported cases and ongoing local transmission #Covid19 Work in collab with Keisuke Ejima & Shingo Iwami #epitwitter https://t.co/i7MpceIJcC
(1/2) New study just out, face masks effective for source control against influenza and seasonal coronaviruses, even reducing virus detection in aerosols in patients with coronavirus infections. 5 years of hard work to generate the data https://t.co/nXJOKLVTvk