Link to full text study:

https://www.thelancet.com/journals/landig/article/PIIS2589-7500(24)00094-3/fulltext

Background Cooling towers containing Legionella spp are a high-risk source of Legionnaires’ disease outbreaks. Manually locating cooling towers from aerial imagery during outbreak investigations requires expertise, is labour intensive, and can be prone to errors. We aimed to train a deep learning computer vision model to automatically detect cooling towers that are aerially visible.

Methods Between Jan 1 and 31, 2021, we extracted satellite view images of Philadelphia (PN, USA) and New York state (NY, USA) from Google Maps and annotated cooling towers to create training datasets. We augmented training data with synthetic data and model-assisted labelling of additional cities. Using 2051 images containing 7292 cooling towers, we trained a two-stage model using YOLOv5, a model that detects objects in images, and EfficientNet-b5, a model that classifies images. We assessed the primary outcomes of sensitivity and positive predictive value (PPV) of the model against manual labelling on test datasets of 548 images, including from two cities not seen in training (Boston [MA, USA] and Athens [GA, USA]). We compared the search speed of the model with that of manual searching by four epidemiologists.

cross-posted from: https://lemmy.ca/post/23881373

A dangerous strain of mpox that is killing children and causing miscarriages in the Democratic Republic of the Congo is the most transmissible yet and could spread internationally, scientists have warned.

The virus appears to be spreading from person to person via both sexual and non-sexual contact, in places ranging from brothels to schools.

Hundreds of people with the disease, formerly known as monkeypox, have attended hospital in the mining town of Kamituga, South Kivu province, in what is likely to be the “tip of the iceberg” of a larger outbreak, doctors say.

The new DRC outbreak is a mutated form of clade I mpox. Doctors report a fatality rate of about 5% in adults and 10% in children, as well as high rates of miscarriages among pregnant women.

cross-posted from: https://lemmy.ca/post/23814659

cross-posted from: https://lemmy.world/post/15628341