Work

Combining Global and Local Estimates for Spatial Distribution of Mosquito Larval Habitats

Year: 2006

Type: article

Abstract: Malaria, transmitted by mosquitoes, is the leading cause of mortality in many African countries. This study assesses the spatial distribution of mosquito larval habitats on the highlands of western Kenya. Environmental factors such as terrain, land use, and surface waters are evaluated for their influence on the habitats. Logistic regression is used to model the global trend in the variation of larval habitats, while kriging is used to model the spatially dependent local variation. Results show notable improvement in modeling accuracy by combining the regression and kriging estimates over using the regression estimate alone.

Source: GIScience & Remote Sensing

DOI: 10.2747/1548-1603.43.2.128

Authors: Ling Bian, Li Li, Guiyun Yan

Institutions: University at Buffalo, State University of New York, University of California, Irvine

Language: English

Topic: Malaria Research and Control

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDGs: Life on land, Good health and well-being

Open Access status: bronze

Funders: National Institutes of Health, University at Buffalo