Publications by authors named "Andres Camilo Mendez"
Article Synopsis
- Due to rising dengue cases in endemic regions, accurate diagnosis is crucial, but current clinical methods show variable effectiveness in practice.
- A study was conducted in Colombia to create clinical algorithms for dengue diagnosis using Bayesian methods that integrate symptoms, signs, and blood test data.
- The developed algorithms showed improved sensitivity when including blood count parameters, although overall diagnostic accuracy remains challenging, highlighting ongoing issues in dengue diagnosis.
View Article and Find Full Text PDF