Quasi-likelihood techniques in a logistic regression equation for identifying Simulium damnosum s.l. larval habitats intra-cluster covariates in Togo

Geo-Spatial Information Science

Volumn 15, Issue 2, 2012, Pages 117-133

  Jacob, Benjamin G ^a   Novak, Robert J ^a   Toe, Laurent ^b   Sanfo, Moussa S ^b   Afriyie, Abena N ^c   Ibrahim, Mohammed A ^d   Griffith, Daniel A ^e   Unnasch, Thomas R ^a  

^a UNIVERSITY OF SOUTH FLORIDA   (United States)

^b African Programme for Onchocerciasis Control Ouagadougou   (Burkina Faso)

^c UNIVERSITY OF PITTSBURGH   (United States)

^d WAKE FOREST UNIVERSITY   (United States)

^e UNIVERSITY OF TEXAS AT DALLAS   (United States)

Author keywords

Annual biting rates; Bayesian; Cluster covariates; Onchoceriasis; QuickBird; Simulium damnosum s.l; Togo

Indexed keywords

ASYMPTOTIC ANALYSIS; BEAMFORMING; ECOSYSTEMS; ERRORS; GEOGRAPHIC INFORMATION SYSTEMS; LOGISTIC REGRESSION; MATRIX ALGEBRA; POISSON DISTRIBUTION; RANDOM PROCESSES; SATELLITE IMAGERY; STATISTICAL TESTS;

BAYESIAN; COVARIATES; ONCHOCERIASIS; QUICKBIRD; SIMULIUM DAMNOSUM; TOGO;

PARAMETER ESTIMATION;

BAYESIAN ANALYSIS; CLUSTER ANALYSIS; ERROR ANALYSIS; FLY; GIS; LARVA; PROBABILITY; QUICKBIRD; REGRESSION ANALYSIS; SATELLITE IMAGERY;

TOGO;

DAMNOSUM COMPLEX; SIMULIUM DAMNOSUM; SIMULIUM NIGRICOXUM;

EID: 84880838215     PISSN: 10095020     EISSN: None     Source Type: Journal    
DOI: 10.1080/10095020.2012.714663     Document Type: Article

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