Use of generalized regression tree models to characterize vegetation favoring Anopheles albimanus breeding.

Hernandez, J E; Epstein, L D; Rodriguez, M H; Rodriguez, A D; Rejmankova, E; Roberts, D R

Hernandez, J E; Epstein, L D; Rodriguez, M H; Rodriguez, A D; Rejmankova, E; Roberts, D R.

Afiliação

Hernandez JE; Centro de Investigación de Paludismo, CISEI, Instituto Nacional de Salud Pública, Chiapas, México.

J Am Mosq Control Assoc ; 13(1): 28-34, 1997 Mar.

Article em En | MEDLINE | ID: mdl-9152872

RESUMO

We propose the use of generalized tree models (GTMs) to analyze data from entomological field studies. Generalized tree models can be used to characterize environments with different mosquito breeding capacity. A GTM simultaneously analyzes a set of predictor variables (e.g., vegetation coverage) in relation to a response variable (e.g., counts of Anopheles albimanus larvae), and how it varies with respect to a set of criterion variables (e.g., presence of predators). The algorithm produces a treelike graphical display with its root at the top and 2 branches stemming down from each node. At each node, conditions on the value of predictors partition the observations into subgroups (environments) in which the relation between response and criterion variables is most homogeneous.

Assuntos

Anopheles/fisiologia; Animais; Anopheles/crescimento & desenvolvimento; México; Plantas; Reprodução

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Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Anopheles Tipo de estudo: Prognostic_studies Limite: Animals País/Região como assunto: Mexico Idioma: En Revista: J Am Mosq Control Assoc Assunto da revista: MEDICINA TROPICAL Ano de publicação: 1997 Tipo de documento: Article País de publicação: Estados Unidos

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