Cargando…
An intelligent system for predicting and preventing MERS-CoV infection outbreak
MERS-CoV is an airborne disease which spreads easily and has high death rate. To predict and prevent MERS-CoV, real-time analysis of user’s health data and his/her geographic location are fundamental. Development of healthcare systems using cloud computing is emerging as an effective solution having...
Autores principales: | Sandhu, Rajinder, Sood, Sandeep K., Kaur, Gurpreet |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7089482/ https://www.ncbi.nlm.nih.gov/pubmed/32214655 http://dx.doi.org/10.1007/s11227-015-1474-0 |
Ejemplares similares
-
Treating MERS-CoV during an outbreak
por: Coleman, Christopher M, et al.
Publicado: (2014) -
Lessons Learned From the MERS-CoV Outbreak
por: Sutton, Nadia R., et al.
Publicado: (2021) -
Vaccination strategies for mitigation of MERS-CoV outbreaks
por: Bosaeed, Mohammad, et al.
Publicado: (2023) -
Host susceptibility to MERS-CoV infection, a retrospective cohort study of the 2015 Korean MERS outbreak
por: Ko, Jae-Hoon, et al.
Publicado: (2018) -
Immunization of MERS-CoV-2-infected mice with a sublethal dose of MERS-CoV or VRP-MERS-S
por: Zheng, Jian, et al.
Publicado: (2023)