Cargando…
Using Syndromic Surveillance and Climatic Data to Detect High Intensity HFMD Seasons
Autor principal: | Norfleet, Arden |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
University of Illinois at Chicago Library
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6606275/ http://dx.doi.org/10.5210/ojphi.v11i1.9943 |
Ejemplares similares
-
Lessons Learned from a DoD and Virginia Data Sharing Pilot using NSSP ESSENCE
por: Austin, Erin E., et al.
Publicado: (2019) -
Potential dual outbreak of COVID-19 and HFMD among children in Asia-Pacific countries in the HFMD-endemic area
por: Jiang, Lina, et al.
Publicado: (2021) -
Association of environmental factors and high HFMD occurrence in northern Thailand
por: Laor, Pussadee, et al.
Publicado: (2020) -
Forecasting hospital pneumonia admissions using influenza surveillance, climate and community data
por: Wong, Joshua, et al.
Publicado: (2019) -
Accounting for seasonal patterns in syndromic surveillance data for outbreak detection
por: Burr, Tom, et al.
Publicado: (2006)