Kris Parag
@krisparag.bsky.social
Engineering epidemics @krisparag1
tinyurl.com/rvaew3k
tinyurl.com/rvaew3k
Reposted by Kris Parag
A new algorithm optimizes epidemic control using noisy data by projecting scenarios to balance health risks and intervention costs. This reveals why slower diseases like Ebola are intrinsically more controllable than faster ones like SARS-CoV-2. #MedSky 🛟
Optimal algorithms for controlling infectious diseases in real time using noisy infection data
Author summary In our work, we tackle the challenge of determining the best time to enforce or relax non-pharmaceutical interventions (NPIs), such as mandatory mask wearing, social distancing or…
journals.plos.org
September 10, 2025 at 5:15 PM
A new algorithm optimizes epidemic control using noisy data by projecting scenarios to balance health risks and intervention costs. This reveals why slower diseases like Ebola are intrinsically more controllable than faster ones like SARS-CoV-2. #MedSky 🛟