tjibbed.bsky.social
Infectious Diseases Modeller at University Hospital Freiburg, working on antibiotic resistance, hospital-acquired pathogens, and patient referral networks. www.tjibbedonker.nl
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I'd usually have my next flight planned by the time I'd exit the airport, as the yearly number of flights kept increasing. I've even missed birthdays because I was up in the air.
Until COVID-19 hit, and I went cold turkey.
My last flight was 14 February 2020, 5 years ago today.
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To me, there's nothing more relaxing than being hurled down a runway with the single purpose of defying gravity, knowing there's not much more to do than close your eyes, and wait until you hit the runway at the other end.
The world can wait, I'm mid-flight.
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To me, it looks like a poor job of converting a bitmap image (.png, .jpg, etc.) to a vector-based graphic (.svg). The labels in the nodes do make sense (e.g. ZDEP1 ... ZDEP7, all uniquely named), which an AI algorithm would be very bad at. A traced low-res bitmap to vector would look like this.
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Congrats! That's wonderful news.
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I wrote a small commentary in the Lancet ID last year warning about exactly this. but the problem has only become massively worse since then.
www.thelancet.com/journals/lan...
It urgently needs a proper reaction from the editors' side. As you show: AI detection is relatively easy to implement.
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Dec 10: Roux et al. (J Antimicrob Chemother, 2021) Time-series modelling for the quantification of seasonality and
forecasting antibiotic-resistant episodes: application to
carbapenemase-producing Enterobacteriaceae episodes in France over
2010–20
academic.oup.com/jac/article/...
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Ok, to be fair... They're not all on networks, but they do all make for some interesting infectious disease reading.
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Dec 9: Nekkab et al. (Scientific Reports, 2020): Assessing the role of inter-facility patient transfer in the spread of carbapenemase-producing Enterobacteriaceae: the case of France between 2012 and 2015.
www.nature.com/articles/s41...
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Dec 8: Colosi et al. (Eurosurveillance, 2023): Minimising school disruption under high incidence conditions due to the Omicron variant in France, Switzerland, Italy, in January 2022
www.eurosurveillance.org/content/10.2...
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Dec 7: Donker et al. (PLoS CB, 2017): Measuring distance through dense weighted networks: The case of hospital-associated pathogens
journals.plos.org/ploscompbiol...
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Dec 6: Tomori et al (BMC Medicine 2021): Individual social contact data and population mobility data as early markers of SARS-CoV-2 transmission dynamics during the first wave in Germany—an analysis based on the COVIMOD study
bmcmedicine.biomedcentral.com/articles/10....
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Dec 5: De Meijere et al. (Lancet Regional Health, 2023): Attitudes towards booster, testing and isolation, and their impact on COVID-19 response in winter 2022/2023 in France, Belgium, and Italy: a cross-sectional survey and modelling study.
www.thelancet.com/journals/lan...
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Dec 4: Crépey et al (Phys. Rev. E, 2006): Mathematical models of infection transmission in healthcare settings: recent advances from the use of network structured data
journals.aps.org/pre/abstract...
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Dec 3: Assab et al. (Current Opinion in Infectious Diseases, 2017): Mathematical models of infection transmission in healthcare settings: recent advances from the use of network structured data.
journals.lww.com/co-infectiou...
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Dec 2. Piotrowska et al (CMI, 2023): The effect of re-directed patient flow in combination with targeted infection control measures on the spread of multi-drug-resistant Enterobacteriaceae in the German health-care system: a mathematical modelling approach.
www.sciencedirect.com/science/arti...
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The papers in our advent calendar so far are:
Dec 1: Donker et al. (PLoS CB, 2012): Patient Referral Patterns and the Spread of Hospital-Acquired Infections through National Health Care Networks.
journals.plos.org/ploscompbiol...
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So basically, about this work:
www.pnas.org/doi/10.1073/...
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Høyres Hus, Oslo.
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Over dinner with editors from CMI and Lancet ID during ECCMID 2023 I -semi jokingly- asked what would happen if people let chatGPT do the peer reviewing.
The rest is history...
www.thelancet.com/journals/lan...
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This is spot on. Scientists cant bemoan lack of climate action then take multiple flights per year for a meet up or a 30 minute talk. I made a call post Covid to take no more than 1 return flight for work per year. Its train or I dont go
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I managed to do all-train post-COVID until now (my last flight was 14 Feb 2020). Being in Freiburg helps, as most of Europe is reachable by train within reasonable travel time.
Up to now, I've done Copenhagen, Rome, Amsterdam, and Bath as destinations I'd otherwise fly to.
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5/5 This work was funded by the BMBF through the NUM as part of GenSurv project, done by our amazing teams at the Uniklinik Freiburg
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4/5 With the code openly available: github.com/QUPI-IUK/fit... , it is easy to implement for continued monitoring and in the next pandemic.
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3/5 Using data from genomic surveillance, such as submitted to GISAID, it works on regional, national, and global SARS-CoV-2 datasets. It scales well with the number of included samples, giving results within minutes for datasets including millions of sequences.
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2/5 Read all about it in our paper: pnas.org/doi/10.1073/... We estimate shifts in the viral fitness by looking at the genetic structure of the entire viral population over time, and show that we can detect the arrival of the major variants in this way.
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Just be glad it's not "available upon reasonable request"