Temporal changes in land cover types and the incidence of malaria in Mangalore, India

International Journal of Biomedical Research

Elena N. Naumova¹  Venkata Raghava Mohan² 

[1] Department of Civil and Environmental Engineering, Tufts University School of Engineering, Medford,;ProfessorDepartment of Community HealthChristian Medical CollegeVellore, India

关键词: Malaria;    remote sensing;    supervised classification;    L;    cover types;    NDVI.;   

DOI  :  10.7439/ijbr.v5i8.719

学科分类：基础医学

来源: Scholar Science Journals

【 摘 要 】

Background: Malaria contributes to 881000 deaths worldwide annually and India is a major contributor in the region. This study aimed at detecting land cover changes and assesses their relationship with the burden of malaria in Mangalore taluk of southern India.Methodology: Landsat TM images were obtained from the U.S. Geological Survey data repository. The statistics for the malaria incidences in the region were obtained from the National Vector Borne Diseases Control Program division of the State of Karnataka. The images were preprocessed, classified and change detection statistics were employed for major land cover types.Results and Conclusions: An increase in the urban land cover by 20% with a reduction in the mountainous terrain by 34.7% and vegetation by 38.7% was noted between the years 2003 and 2005. The annual incidence of malaria increased five-fold from 203 to 1035/100000 population during the period. This study demonstrates the application of publicly available remote sensed data as a cost effective approach to study the agent, host and environment relationships in resource scarce settings which would provide valuable information planning and policy making at regional levels.

【 授权许可】

CC BY