QinQin Yu
@qinqinyu.bsky.social
Interests in infectious diseases, microbial evolution, science writing, and outreach. Postdoc at Harvard School of Public Health in Grad Lab.
https://qinqin-yu.github.io/
https://qinqin-yu.github.io/
Exciting new method to directly infer pathogen transmission rates using sequencing data. Amazing work led by Takashi Okada and @ohallats.bsky.social. Check out @ohallats.bsky.social's great summary thread below.
After a long and winding odyssey, excited to finally drop anchor in open-access waters. This preprint shows how neutral allele frequency time series can illuminate disease transmission rates between communities— key for epidemic fore- & backcasting. medrxiv.org/content/10.1... 🧵
December 19, 2024 at 11:31 AM
Exciting new method to directly infer pathogen transmission rates using sequencing data. Amazing work led by Takashi Okada and @ohallats.bsky.social. Check out @ohallats.bsky.social's great summary thread below.
Reposted by QinQin Yu
Very proud to share my very first book written together with Alli Black! It covers the principles & considerations of genomic epidemiology as well as real-world examples. We hope it'll prove a useful teaching resource for the field. Psst... the free version lives here: alliblk.github.io/genepi-book/
March 22, 2024 at 5:17 PM
Very proud to share my very first book written together with Alli Black! It covers the principles & considerations of genomic epidemiology as well as real-world examples. We hope it'll prove a useful teaching resource for the field. Psst... the free version lives here: alliblk.github.io/genepi-book/
Reposted by QinQin Yu
How do you track an ongoing epidemic, especially without large-scale testing? We explored the use of routinely collected RT-qPCR cycle threshold values in our new preprint out now!
doi.org/10.1101/2024...
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doi.org/10.1101/2024...
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Nowcasting epidemic trends using hospital- and community-based virologic test data
Epidemiological surveillance typically relies on reported incidence of cases or hospitalizations, which can suffer significant reporting lags, biases and under-ascertainment. Here, we evaluated the po...
doi.org
November 20, 2024 at 4:31 PM
How do you track an ongoing epidemic, especially without large-scale testing? We explored the use of routinely collected RT-qPCR cycle threshold values in our new preprint out now!
doi.org/10.1101/2024...
1/
doi.org/10.1101/2024...
1/