Cargando…
Using a Dynamic Hydrology Model To Predict Mosquito Abundances in Flood and Swamp Water
We modeled surface wetness at high resolution, using a dynamic hydrology model, to predict flood and swamp water mosquito abundances. Historical meteorologic data, as well as topographic, soil, and vegetation data, were used to model surface wetness and identify potential fresh and swamp water breed...
Autores principales: | Shaman, Jeffrey, Stieglitz, Marc, Stark, Colin, Le Blancq, Sylvie, Cane, Mark |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2002
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2730265/ https://www.ncbi.nlm.nih.gov/pubmed/11799741 http://dx.doi.org/10.3201/eid0801.010049 |
Ejemplares similares
-
Flooding in Townsville, North Queensland, Australia, in February 2019 and Its Effects on Mosquito-Borne Diseases
por: Adekunle, Adeshina I., et al.
Publicado: (2019) -
Achieving Operational Hydrologic Monitoring of Mosquitoborne Disease
por: Shaman, Jeffrey, et al.
Publicado: (2005) -
Seasonal Forecast of St. Louis Encephalitis Virus Transmission, Florida
por: Shaman, Jeffrey, et al.
Publicado: (2004) -
Flooding and hydrologic connectivity modulate community assembly in a dynamic river-floodplain ecosystem
por: Larsen, Stefano, et al.
Publicado: (2019) -
Hydrologic Conditions Describe West Nile Virus Risk in Colorado
por: Shaman, Jeffrey, et al.
Publicado: (2010)