AIMC Topic: Ixodidae
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Machine learning algorithms for the evaluation of risk by tick-borne pathogens in Europe.
Annals of medicine
Sep 30, 2024
BACKGROUND: Tick-borne pathogens pose a major threat to human health worldwide. Understanding the epidemiology of tick-borne diseases to reduce their impact on human health requires models covering large geographic areas and considering both the abio...
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. ...
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