Epidemic

COSMO-SkyMed/SAR imagery (ESA)

Data Type: 

satdata

Costs: 

rfree
English

Spatial Coverage: 

Global

Temporal Coverage: 

arch

Data accessibility: 

exportdata

File types: 

GeoTIFF
HDF5
JPEGJPG
TIFF

Disaster Cycle Phase: 

drm
rr

Spatial Resolution: 

1.00

Requirements: 

<p>Submission of Project Proposal is required for Restrained Datasets</p>

Restrictions / Citation of the dataset: 

Satellites and Sensors: 

Vector Borne Disease: Risk Mapping

 

Within the DEVELOP National Program of NASA this project aimed at identifying West Nile Virus (WNV) and Encephalitis (EEE) risk maps for Mobile County, Alabama. Probable WNV and EEE infected reservoir habitats were identified using Terra ASTER and Landsat 4 and 5 imagery. Through combination with census data it was possible to identify areas where a chain of infection is present.

English

Bibliographic reference: 

W. Clarket al.. (2011). Vector Borne Disease: Risk Mapping. NASA Earth Science Division Applied Sciences Program. DEVELOP National Program April 22, 2011. 12 p.

Remote Sensing and Geographic Information Systems and Risk of American Visceral Leishmaniasis in Bahia, Brazil

 

External Contact Person: 

Bavia, M.E.

Email: 

newmeb2004 [at] yahoo.com.br
English

Bibliographic reference: 

Bavia, M.E. et al. (2005): Remote Sensing and Geographic Information Systems and Risk of American Visceral Leishmaniasis in Bahia, Brazil. Parassitologia, Vol. 47, 165-169.

Rift Valley Fever in a Zone Potentially Occupied by Aedes Vexans in Senegal: Dynamics and Risk Mapping

 

External Contact Person: 

Cécile Vignolles

Email: 

cecile.vignolles [at] cnes.fr
English

Bibliographic reference: 

Vignolles, C. et al. (2009): Rift Valley Fever in a Zone Potentially Occupied by Aedes Vexans in Senegal: Dynamics and Risk Mapping. Geospatial Health, Vol. 3, No. 2, 211-220.

Monitoring environmental indicators of vector-borne disease from space: a new opportunity for RADARSAT-2

 

External Contact Person: 

Shannon Kaya

Email: 

shannon.kaya [at] ccrs.nrcan.gc.ca
English

Bibliographic reference: 

Kaya, S. et al. (2004): Monitoring Environmental Indicators of Vector-borned Disease from Space: A New Opportunity for RADARSAT-2. Canadian Journal of Remote Sensing, Vol. 30, No. 3, 560-565.

The Use of Radar Remote Sensing for Identifying Environmental Factors Associated with Malaria Risk in Coastal Kenya

 

External Contact Person: 

Shannon Kaya

Email: 

shannon.kaya [at] ccrs.nrcan.gc.ca
English

Bibliographic reference: 

Kaya, S. et al. (2002): The Use of Radar Remote Sensing for Identifying Environmental Factors Associated with Malaria Risk in Coastal Kenya. Proceedings of the International Geoscience and Remote Sensing Symposium, Toronto 2002.

Early Prediction of Malaria in Forest Hills of Bangladesh Using AVHRR Based Satellite Data

 

External Contact Person: 

Mohammad Nizamuddin

Email: 

nizam89 [at] gmail.com
English

Bibliographic reference: 

Nizamuddin, M. et al. (2009): Early Prediction of Malaria in Forest Hills of Bangladesh Using AVHRR Based Satellite Data. 16th Conference on Satellite Meteorology and Oceanography, Phoenix, AZ, January 11-15, 2009.

Satellite Imagery Characterizes Local Animal Reservoir Populations of Sin Nombre Virus in the Southwestern United States

 

External Contact Person: 

Gregory E. Glass

Email: 

gglass [at] jhsph.edu
English

Bibliographic reference: 

Glass, G.E. et al. (2002): Satellite Imagery Characterizes Local Animal Reservoir Populations of Sin Nombre Virus in the Southwestern United States. Proceedings of the National Academy of Sciences of the United States of America, Vol. 99, No. 26, 16817-16822.

Early detection of tick-borne encephalitis virus spatial distribution and activity in the province of Trento, northern Italy

 

External Contact Person: 

Rizzoli A.

Email: 

rizzoli [at] cealp.it
English

Bibliographic reference: 

Rizzoli, A. et al. (2007): Early Detection of Tick-Borne Encephalitis Virus Spatial Distribution and Activity in the Province of Trento, Northern Italy. Geospatial Health, Vol. 2, 169-176.

Predicting the distribution of tsetse flies in West Africa using temporal Fourier processed meteorological satellite data.

 

External Contact Person: 

Rogers, D.J.

Email: 

david.rogers [at] zoo.ox.ac.uk
English

Bibliographic reference: 

Rogers, D.J. et al. (1996): Predicting the Distribution of Tsetse Flies in West Africa Using Temporal Fourier Processed Meteorological Satellite Data. Annals of Tropical Medicine and Parasitology, Vol. 90, No. 3, 225-241.

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