Utilization of combined remote sensing techniques to detect environmental variables influencing malaria vector densities in rural West Africa

International Journal of Health Geographics

Volumn 11, Issue , 2012, Pages

  Dambach, Peter ^a   Machault, Vanessa ^b   Lacaux, Jean Pierre ^b   Vignolles, Cécile ^c   Sié, Ali ^d   Sauerborn, Rainer ^a,e  

^a UNIVERSITY OF HEIDELBERG   (Germany)

^b LABORATOIRE D AÉROLOGIE   (France)

^c CNES   (France)

^d CENTRE DE RECHERCHE EN SANTÉ DE NOUNA   (Burkina Faso)

^e UMEÅ UNIVERSITY   (Sweden)

Author keywords

Burkina faso; Digital elevation model; Geographic information system; High spatial resolution; Malaria; MODIS; Remote sensing; Rural west africa; SPOT 5 satellite; TRMM

Indexed keywords

DIGITAL ELEVATION MODEL; DISEASE VECTOR; ENVIRONMENTAL FACTOR; EPIDEMIOLOGY; GIS; MALARIA; MODIS; NDVI; REMOTE SENSING; RURAL AREA; SPATIAL RESOLUTION; SPOT; TRMM;

BURKINA FASO;

FRESH WATER; RAIN;

AFRICA; ANIMAL; ANOPHELES; ARTICLE; BURKINA FASO; DISEASE CARRIER; ENVIRONMENT; GEOGRAPHIC INFORMATION SYSTEM; HUMAN; MALARIA; REMOTE SENSING; RURAL POPULATION; TELECOMMUNICATION; UTILIZATION REVIEW;

AFRICA; ANIMALS; ANOPHELES; BURKINA FASO; DISEASE VECTORS; ENVIRONMENT; FRESH WATER; GEOGRAPHIC INFORMATION SYSTEMS; HUMANS; MALARIA; RAIN; REMOTE SENSING TECHNOLOGY; RURAL POPULATION; SATELLITE COMMUNICATIONS;

EID: 84858742605     PISSN: None     EISSN: 1476072X     Source Type: Journal    
DOI: 10.1186/1476-072X-11-8     Document Type: Article

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