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.

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...