iiinova — where your digital self keeps evolving

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Jelle Matthijnssens @jellematthijnssens.bsky.social · 30/09/2025

🚨 New paper in Eurosurveillance - @karatasmustafa.bsky.social We used shotgun metagenomics on indoor air in a Belgian daycare to track respiratory, enteric & skin viruses. 👉 40/42 samples contained human viruses—even when kids seemed healthy! 📄 Read here: pubmed.ncbi.nlm.nih.gov/41000028/

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Mustafa Karatas @karatasmustafa.bsky.social · 26/09/2025

New paper out! We sampled indoor air for a year in a Belgian daycare and used shotgun metagenomics to track viruses. We recovered many viral genomes of interest. What would you sample next? Read at @eurosurveillance.org @emmanuel-microb.bsky.social, @jellematthijnssens.bsky.social -->

Figure 3. (A–N) Sequencing coverage plots of genetic sequences of viruses detected in indoor air samples of a daycare and phylogenetic analyses of sequences of (O) two human bocaviruses and (P) one RSV identified in some samples, Belgium, January–December 2022

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Caspar Geenen @caspargeenen.bsky.social · 28/04/2025

New study on reaching people with undiagnosed tuberculosis in Rwanda: “… our results suggest that analyzing satellite imagery may allow the identification of urban areas where inhabitants are at higher risk of tuberculosis.”

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Yassen Tcholakov @yassentch.bsky.social · 13/04/2025

One of my favorite #ESCMIDGlobal sessions is "Year in #PublicHealth". Yi Lang Hsu summarizes outbreaks that occurred in the last year: Mpox, Avian Influenza, Marburg, Oropouche! #PublicHealthSky #IDsky #ESCMIDGlobal2025

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Ilan Schwartz @germhuntermd.bsky.social · 24/03/2025

Our patients persecuted; colleagues and public health institutions under attack. Our field needs to rise up & fight back Silence=Death Redux: Infectious Diseases, Public Health, and the Imperative to Resist Viewpoint by @ericmeyerowitz.bsky.social & me OpenAccess: academic.oup.com/cid/advance-...

academic.oup.com

Silence=Death Redux: Infectious Diseases, Public Health, and the Imperative to Resist

The second Trump administration has released a torrent of executive policies hostile to public health, science, and marginalized populations. We outline th

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Rodrigo Henríquez @rodrigohenriquezbe.bsky.social · 10/02/2025

New publication by Christelle Jouego & cols. maps TB hotspots in Cameroon using OpenStreetMap & WorldPop data. Reveals up to 53% of TB cases go undiagnosed in some regions 🧐. Urgent need to reallocate diagnostic tools where they're needed most. #GlobalHealth #TB www.nature.com/articles/s41...

nature.com

Mapping of regions with low tuberculosis notification and estimation of diagnostic gaps in Cameroon, evidence from OpenStreetMap and WorldPop data

Scientific Reports - Mapping of regions with low tuberculosis notification and estimation of diagnostic gaps in Cameroon, evidence from OpenStreetMap and WorldPop data

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Caspar Geenen @caspargeenen.bsky.social · 30/01/2025

New study: analysing indoor air to detect outbreaks. “… Air sampling could provide sensitive, responsive #epidemiology indicators for surveillance of respiratory pathogens…” See thread for details and previous air sampling work with @emmanuel-microb.bsky.social… #IDEpi #IDsky #PedsID #KULeuven 🛟

Heatmap chart showing the detection of various pathogens over different sampling weeks (W9 to W30). Pathogens are listed on the y-axis, including viruses and bacteria such as Streptococcus pneumoniae, human coronaviruses, influenza viruses, and others. The x-axis represents the sampling weeks. Black dots indicate detection of the pathogen in the air. The colour gradient, ranging from white to dark red, represents the proportion of positive paper tissue samples, with darker shades indicating higher proportions. This alt text was generated by ChatGPT.

A chart showing the relative detection of pathogens in air versus paper tissues, with pathogens listed on the y-axis (e.g., Pneumocystis jirovecii, herpes simplex virus type 1, SARS-CoV-2). The x-axis represents ∆Ct values, where negative values indicate higher detection in air and positive values indicate higher detection in paper tissues. Red dots represent the mean ∆Ct for each pathogen, and horizontal red error bars represent the 95% confidence intervals. Individual grey dots indicate data points for each sample. Pathogens are arranged by their relative prevalence in air and paper tissues. This alt text was generated by ChatGPT.

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Jelle Matthijnssens @jellematthijnssens.bsky.social · 21/01/2025

🚨 #PhDPosition Opportunity Alert 🚨 Join the Matthijnssens-lab @KU_Leuven to explore the early-life #virome dynamics and their impact on immunity in infants from Ghana & Zambia! 🌍🧬 📅 Start: June 2025 🔗 kuleuven.be/personeel/jobs… #microbiome #bioinformatics #phage #NGS

kuleuven.be

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Kaitlin Sullivan @kaitsulliva.bsky.social · 03/01/2025

It's not so much mutations spontaneously emerging in individuals that is most concerning, but the fact that flu season is ramping up, giving H5N1 more opportunities to mix with human influenza strains, @angierasmussen.bsky.social told me. www.nbcnews.com/health/healt...

nbcnews.com

In severe bird flu cases, the virus can mutate as it lingers in the body

As the seasonal flu picks up, there are even more opportunities for the bird flu to acquire mutations as the different influenza viruses mix.

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Caspar Geenen @caspargeenen.bsky.social · 02/01/2025

IDEpi: a dedicated Bluesky feed for Infectious Disease Epidemiology. This feed collects posts tagged with #IDEpi or keyword combinations like #IDSky + #EpiSky. Comments and suggestions welcome! Access here: bsky.app/profile/did:...

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