Estimating severe fever with thrombocytopenia syndrome transmission using machine learning methods in South Korea
Abstract Severe fever with thrombocytopenia syndrome (SFTS) is an emerging tick-borne infectious disease in China, Japan, and Korea. This study aimed to estimate the monthly SFTS occurrence and the monthly number of SFTS cases in the geographical area in Korea using epidemiological data including de...
Guardado en:
Autores principales: | Giphil Cho, Seungheon Lee, Hyojung Lee |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Nature Portfolio
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/01764c284e954f4a826c5c1d17b14126 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Evaluating the spatial and temporal patterns of the severe fever thrombocytopenia syndrome in Republic of Korea
por: Seongwoo Park, et al.
Publicado: (2021) -
Development and Characterization of a Reverse Genetics System for a Human-Derived Severe Fever With Thrombocytopenia Syndrome Virus Isolate From South Korea
por: Seok-Min Yun, et al.
Publicado: (2021) -
The changing epidemiological characteristics of severe fever with thrombocytopenia syndrome in China, 2011–2016
por: Jimin Sun, et al.
Publicado: (2017) -
Vectors, Hosts, and the Possible Risk Factors Associated with Severe Fever with Thrombocytopenia Syndrome
por: Jin-Na Wang, et al.
Publicado: (2021) -
Baseline mapping of severe fever with thrombocytopenia syndrome virology, epidemiology and vaccine research and development
por: Nathen E. Bopp, et al.
Publicado: (2020)