Had a great time this summer at @Complexity72h w. @OlenaHol, @TheAviatorFrame, @simon_rella, Jimmy, José, @pullano_giulia modeling how mobility impacts RSV transmission in Seattle. Post-workshop, @Fogarty_NIH colleagues joined, and our preprint is posted! https://t.co/lrmN94ZX2w
Our preprint from the @Complexity72h is out: https://t.co/WMpuTFAe7v - We explore COVID-19 effect on RSV transmission in Seattle using a mechanistic model and mobility data. Great memories of that amazing event in hot Madrid! Highly recommend: https://t.co/zhhNQ7SlLG
Mobile device data show how population movements affected circulation of 18 respiratory viruses in Seattle from Nov 2019 to June 2022. @NatureComms . @aperofsky@BrotmanBaty & Cecile Viboud @Fogarty_NIH https://t.co/namrHt6IGC https://t.co/namrHt6IGC
Our ‘24 edition of the satellite EPIMOB of @NetSciConf is over. It was great to organize it with @pullano_giulia@aperofsky @TiaMazzoli (missed you). 🙏 to Sally Blower @nruktanonchai@mattk7 and the contributed speakers for the science and discussions. Until next year!
🎉Congrats to Fogarty's Amanda Perofsky, Chelsea Hansen, and Cécile Viboud& their co-authors! Their paper on impacts of human mobility on transmission of respiratory viruses has been added to @NatureComms Editors’ Highlights on Public Health: https://t.co/MJqH5ksS6m
The location of pairs of identical sequences is in line with expectations from cell phone derived mobility data. Outliers in the relationship between genetic and mobility data can be explained by large clusters of identical sequences shared between male prisons' postal codes. 4/
Very cool work by @CecileTK_ that uses pairs of identical sequences to study fine scale transmission patterns of SARS-CoV-2 in WA state. This method can take full advantage of large pathogen genome datasets without needing to construct computationally intensive phylogenetic trees
Pathogen genomes can provide insights into underlying disease transmssion patterns but new methods are needed to analyze large genome datasets. In our new preprint, we use identical pathogen sequences to characterize fine scale SARS-CoV-2 transmission: https://t.co/4mI16zA7N2
Excited to share that our study "Impacts of human mobility on the citywide transmission dynamics of 18 respiratory viruses in pre- and post-COVID-19 pandemic years" is out now @NatureComms https://t.co/yX11Wpw4uu
Mobile device location data helped predict SARS-CoV-2 transmission. Is it a useful predictor for other respiratory viruses? Read just-published study from Fogarty’s Amanda Perofsky, Chelsea Hansen & Cécile Viboud and co-authors.
@uwmedicine@gatesfoundation @HHMINEWS
We related trends in cellphone mobility, masking, and COVID-19 NPIs to the dynamics of SARS-CoV-2 and 17 endemic viruses, incl. flu viruses, RSV, seasonal CoVs, and rhinovirus, over the course of 4 years (2018 - 2022), using surveillance data from the Seattle Flu Study.
🚨 EPIMOB satellite news 🚨 Deadline extended! You'll have until April 1 to submit your application to us. Don't miss the opportunity! Link: https://t.co/Zgvg4aT3dX @TiaMazzoli @aperofsky@eugeValdano
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