Such a strategy could guide us in targeting interventions where they are most needed, ensuring that scarce resources are allocated in the smartest, most impactful way possible.
@caspargeenen.bsky.social @e-chjouego.bsky.social
By combining open-source data with robust mathematical modeling, we could identify hidden pockets of TB underdetection. Our next goal will be to deliver intensified resources directly to these communities.
www.nature.com/articles/s41...
In our latest study published today, we investigated the epidemiology of TB in Cameroon, where more than 50% of TB patients remain undiagnosed. This diagnostic gaps underscore a harsh reality: impact of interventions is limited when the communities most in need have little or no access.
Tackling tuberculosis (TB) and multi-drug resistant TB worldwide implies tackling the underrecognized challenge of access to care and underdiagnosis. This is an immense challenge made even more complex by the fact that the highest burdens often reside in the most underserved communities.
120 voix, une même conviction : renforcer la coopération internationale est une nécessité.
Chefs d’entreprises, académicien·nes, syndicalistes, artistes,…
Ils et elles rappellent qu'il est essentiel d'investir dans la coopération au #développement 👇
@emmanuel-microb.bsky.social
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.
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 🛟
These findings suggest that routine air sampling could become a powerful tool for early detection and monitoring of respiratory viruses—helping us stay one step ahead of outbreaks and improve our preparedness for future public health challenges.
Congratulations to @caspargeenen.bsky.social and team
By monitoring the air and used paper tissues in a kindergarten for respiratory pathogens, we found that one weekly air sample can offer as much information as multiple individual tests. Remarkably, this method also detected viral circulation a full week before a recognized outbreak occurred.
In our new study, published today, we show that indoor air sampling can shed light on this knowledge gap.
www.thelancet.com/journals/ebi...
Respiratory viruses affect everyone, everywhere, at all times of the year. Influenza alone imposes an enormous burden on our healthcare systems and economies annually.
Yet, for the most part, we remain in the dark about which viruses are circulating, when they appear, and how long they persist.
En quelques mois, Bluesky conquis le marché des utilisateurs scientifiques de Twitter, lassés de l’agressivité de la plateforme et en désaccord profond avec les positions de son propriétaire.
www.nature.com/articles/d41...
Communiqué de la Société des Journalistes de la #RTBF sur l’application du cordon sanitaire le lundi 20 janvier 2025.
I’ve just done my #eXit! Thanks to #HelloQuitX I've registered 29579 new passengers for a journey to #BlueSky. Join us on app.helloquitx.com and automatically find your communities on #January20!
Bye bye Twitter.
