Amanda Perofsky
@aperofsky
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Research scientist @BrotmanBaty @Fogarty_NIH | Infectious disease ecologist
Seattle, WA
Joined August 2009
Thank you to @Complexity72h for bringing together such a great group of students and tutors in Madrid. The RSV team:
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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!
medrxiv.org
Introduction Respiratory Syncytial Virus (RSV) infection is a major cause of acute respiratory hospitalizations in young children and older adults. In early 2020 most countries implemented non-phar...
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RT @OlenaHol: Our preprint from the @Complexity72h is out: - We explore COVID-19 effect on RSV transmission in Seat….
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RT @OlenaHol: Seasons disrupt,.mobility shapes waves,.RSV's dance shifts. This haiku summarizes our #complexity72h project on RSV's patter….
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RT @uwmnewsroom: Mobile device data show how population movements affected circulation of 18 respiratory viruses in Seattle from Nov 2019 t….
newsroom.uw.edu
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RT @Complexity72h: Our tutors be like. Friday afternoon: talk at @NetSciConf in Québec.Monday morning: ready for Complexity72h in Madrid ht….
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RT @eugeValdano: Our ‘24 edition of the satellite EPIMOB of @NetSciConf is over. It was great to organize it with @pullano_giulia @aperofsk….
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RT @Fogarty_NIH: 🎉Congrats to Fogarty's Amanda Perofsky, Chelsea Hansen, and Cécile Viboud& their co-authors! Their paper on impacts of hu….
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RT @CecileTK_: The location of pairs of identical sequences is in line with expectations from cell phone derived mobility data. Outliers in….
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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:
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RT @Fogarty_NIH: Mobile device location data helped predict SARS-CoV-2 transmission. Is it a useful predictor for other respiratory viruses….
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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.
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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
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RT @pullano_giulia: 🚨 EPIMOB satellite news 🚨 Deadline extended! You'll have until April 1 to submit your application to us. Don't miss the….
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Applications for #Complexity72h are due tomorrow, Feb. 29!
⏰ Just 3 days left to apply for #Complexity72h workshop!. 🌟 Preparing your application in 72 hours is just the warm-up!. Join us for an unforgettable experience. Submit your application now!
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(4/4) @eLife wrote a press release that provides a nice overview for non-flu researchers
elifesciences.org
An analysis of influenza virus evolution over 22 years of flu seasons reveals the major drivers of disease transmission and epidemic severity.
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