QinQin Yu
@qinqinyu.bsky.social
Pathogen evolution and transmission, science writing, and outreach. Researcher at Statens Serum Institut in Copenhagen.
https://qinqin-yu.github.io/
https://qinqin-yu.github.io/
Some reflections from the first 6 months of my time at the Statens Serum Insitut: qinqin-yu.github.io/posts/2026/0...
Reflections on my first 6 months at SSI
I’ve been working in my job at SSI for 6 months now. It’s hard to believe how fast the time has flown by, and yet, every day still feels long between all the new things to adjust to and various work a...
qinqin-yu.github.io
September 28, 2026 at 9:09 AM
Some reflections from the first 6 months of my time at the Statens Serum Insitut: qinqin-yu.github.io/posts/2026/0...
Some bacteria can rapidly change their surface proteins to undergo antigenic variation – what is the diversity of these proteins and how do they evolve? We delved into this question in Neisseria gonorrhoeae, the cause of the sexually transmitted infection gonorrhea: journals.plos.org/plospathogen...
Diversity and evolution of a phase-variable multi-locus antigen in Neisseria gonorrhoeae
Author summary The rising levels of antibiotic resistance in Neisseria gonorrhoeae make controlling the spread of this sexually transmitted pathogen a public health priority. N. gonorrhoeae rapidly va...
journals.plos.org
August 19, 2026 at 2:03 PM
Some bacteria can rapidly change their surface proteins to undergo antigenic variation – what is the diversity of these proteins and how do they evolve? We delved into this question in Neisseria gonorrhoeae, the cause of the sexually transmitted infection gonorrhea: journals.plos.org/plospathogen...
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/