AIMC Topic: Phlebovirus

Clear Filters Showing 1 to 2 of 2 articles

A machine learning model for mortality prediction in patients with severe fever with thrombocytopenia syndrome: a prospective, multicenter cohort study.

Emerging microbes & infections Jun 19, 2025
Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease that imposes a considerable medical burden. In this study, we enrolled 1,606 SFTS patients, developed and validated machine learning models for mortality prediction,...
Humans Machine Learning Algorithms Prospective Studies Female Aged Adult Male Middle Aged Severe Fever with Thrombocytopenia Syndrome Phlebovirus
View on PubMed DOI

Mapping the global potential transmission hotspots for severe fever with thrombocytopenia syndrome by machine learning methods.

Emerging microbes & infections Dec 1, 2020
Severe fever with thrombocytopenia syndrome (SFTS) is an emerging infectious disease with increasing spread. Currently SFTS transmission has expanded beyond Asian countries, however, with definitive global extents and risk patterns remained obscure. ...
Humans Machine Learning Female Temperature Aged Aged, 80 and over Young Adult Adult Animals Male Global Health Middle Aged Adolescent Child, Preschool Child Disease Vectors Communicable Diseases, Emerging Thrombocytopenia Bunyaviridae Infections Ixodidae Phlebovirus
View on PubMed DOI
Popular Topics
Recent Journals