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

ABSTRACT: 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. Here we established an exhaustive database that included globally reported locations of human SFTS cases and the competent vector, Haemaphysalis longicornis (H. longicornis), as well as the explanatory environmental variables, based on which, the potential geographic range of H. longicornis and risk areas for SFTS were mapped by applying two machine learning methods. Ten predictors were identified contributing to global distribution for H. longicornis with relative contribution ≥1%. Outside contemporary known distrib

SUBMITTER: Miao D 

PROVIDER: S-EPMC7241453 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature