Describing Anopheles arabiensis aquatic habitats in two riceland agro-ecosystems in Mwea, Kenya using a negative binomial regression model with a non-homogenous mean
Authors:
- Benjamin G. JacobBJBenjamin G. Jacob
- Daniel GriffithDaniel Griffith
- Josephat ShililuJSJosephat Shililu
- 1 January 2009
- journal article
- research article
- Published by Elsevier in Acta Tropica
- Vol. 109 (1) , 17-26
Abstract
No abstract availableKeywords
This publication has 39 references indexed in Scilit:
- A Spatial Filtering Specification for an Auto‐negative Binomial Model ofAnopheles arabiensisAquatic HabitatsTransactions in GIS, 2008
- Decomposing Malaria Mosquito Aquatic Habitat Data into Spatial Autocorrelation Eigenvectors in a SAS/GIS® ModuleTransactions in GIS, 2008
- Hydrological modeling of geophysical parameters of arboviral and protozoan disease vectors in Internally Displaced People camps in Gulu, UgandaInternational Journal of Health Geographics, 2008
- ENVIRONMENTAL COVARIATES OF ANOPHELES ARABIENSIS IN A RICE AGROECOSYSTEM IN MWEA, CENTRAL KENYAJournal of the American Mosquito Control Association, 2007
- Remote and field level quantification of vegetation covariates for malaria mapping in three rice agro-village complexes in Central KenyaInternational Journal of Health Geographics, 2007
- Risk of Severe Malaria among African Infants: Direct Evidence of Clinical Protection during Early InfancyThe Journal of Infectious Diseases, 1998
- Climate change and vector-borne diseasesGlobal Environmental Change, 1995
- Spatial Heterogeneity and the Design of Ecological Field ExperimentsEcology, 1993
- The Analysis of Spatial Association by Use of Distance StatisticsGeographical Analysis, 1992
- The role of shops in the treatment and prevention of childhood malaria on the coast of KenyaTransactions of the Royal Society of Tropical Medicine and Hygiene, 1992