Deriving meteorological variables across Africa for the study and control of vector-borne disease: A comparison of remote sensing and spatial interpolation of climate

Tropical Medicine and International Health

Volumn 4, Issue 1, 1999, Pages 58-71

  Hay, S I ^a   Lennon, J J ^b  

^a UNIVERSITY OF OXFORD   (United Kingdom)

^b UNIVERSITY OF LEEDS   (United Kingdom)

Author keywords

Africa; Climate; Remote sensing; Spatial interpolation; Vector borne disease

Indexed keywords

DISEASE CONTROL; DISEASE VECTOR; METEOROLOGY; REMOTE SENSING;

AFRICA; ARTICLE; CLIMATE; HUMIDITY; INFECTION CONTROL; METEOROLOGY; NONBIOLOGICAL MODEL; PREDICTION; REMOTE SENSING; SEASONAL VARIATION; TEMPERATURE; VECTOR CONTROL;

AFRICA; ALGORITHMS; BIAS (EPIDEMIOLOGY); CLIMATE; COMMUNICABLE DISEASES; DATA INTERPRETATION, STATISTICAL; DISEASE VECTORS; HUMANS; METEOROLOGICAL FACTORS; PREDICTIVE VALUE OF TESTS; REGRESSION ANALYSIS; REPRODUCIBILITY OF RESULTS; SATELLITE COMMUNICATIONS; SIGNAL PROCESSING, COMPUTER-ASSISTED; SPACECRAFT;

AFRICA;

EID: 0033030687     PISSN: 13602276     EISSN: None     Source Type: Journal    
DOI: 10.1046/j.1365-3156.1999.00355.x     Document Type: Article

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