Geographic information systems and logistic regression for high-resolution malaria risk mapping in a rural settlement of the southern Brazilian Amazon

Malaria Journal

Volumn 12, Issue 1, 2013, Pages

  De Oliveira, Elaine Cristina ^a   Dos Santos, Emerson Soares ^b   Zeilhofer, Peter ^b   Souza Santos, Reinaldo ^c   Atanaka Santos, Marina ^b  

^a Political Administrative Center   (Brazil)

^b FEDERAL UNIVERSITY OF MATO GROSSO   (Brazil)

^c INSTITUTO OSWALDO CRUZ   (Brazil)

Author keywords

Epidemiology; Malaria; Remote sensing; Spatial analysis

Indexed keywords

ARTICLE; BRAZIL; BREEDING; DENSITY; DEPENDENT VARIABLE; ENVIRONMENTAL FACTOR; FEMALE; GEOGRAPHIC INFORMATION SYSTEM; HABITAT; HUMAN; HUMIDITY; INCIDENCE; INDEPENDENT VARIABLE; INFECTION RISK; LAND USE; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALARIA; MALE; MINING; MOSQUITO; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; PLASMODIUM FALCIPARUM; PLASMODIUM VIVAX; VEGETATION;

BRAZIL; GEOGRAPHIC INFORMATION SYSTEMS; HUMANS; LOGISTIC MODELS; MALARIA, FALCIPARUM; MALARIA, VIVAX; RISK ASSESSMENT; RURAL POPULATION; SPATIAL ANALYSIS; TOPOGRAPHY, MEDICAL;

EID: 84887538586     PISSN: None     EISSN: 14752875     Source Type: Journal    
DOI: 10.1186/1475-2875-12-420     Document Type: Article

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