Modeling dengue fever risk based on socioeconomic parameters, nationality and age groups: GIS and remote sensing based case study

Science of the Total Environment

Volumn 409, Issue 22, 2011, Pages 4713-4719

  Khormi, Hassan M ^a   Kumar, Lalit ^a  

^a UNIVERSITY OF NEW ENGLAND   (Australia)

Author keywords

Dengue Fever (DF); Geographic Information Systems (GIS); Geographically Weighted Regression; High resolution satellite images; Socioeconomic parameters

Indexed keywords

AGE GROUPS; DENGUE FEVER (DF); DESCRIPTIVE ANALYSIS; GEOGRAPHICALLY WEIGHTED REGRESSION; HEALTH CONCERNS; HIGH RESOLUTION SATELLITE IMAGES; LOCAL SCALE; POPULATION DENSITIES; POPULATION NUMBERS; PREDICTION MODEL; QUALITY INFORMATION; RISK-BASED; SAUDI ARABIA; SOCIO-ECONOMIC FACTOR; SOCIOECONOMIC PARAMETERS; SPATIAL RELATIONSHIPS;

GEOGRAPHIC INFORMATION SYSTEMS; MATHEMATICAL MODELS; POPULATION STATISTICS; REMOTE SENSING;

HEALTH RISKS;

DENGUE FEVER; GIS; HEALTH RISK; IMAGE RESOLUTION; MODELING; NEIGHBORHOOD; POPULATION DENSITY; REGRESSION ANALYSIS; REMOTE SENSING; RISK ASSESSMENT; SATELLITE IMAGERY; SOCIOECONOMIC CONDITIONS;

ADOLESCENT; ADULT; AGE DISTRIBUTION; ARTICLE; CHILD; CONTROLLED STUDY; DENGUE; GEOGRAPHIC INFORMATION SYSTEM; HUMAN; INFANT; INFECTION RISK; MAJOR CLINICAL STUDY; POPULATION DENSITY; PREDICTION; PRESCHOOL CHILD; PREVALENCE; PRIORITY JOURNAL; REMOTE SENSING; SAUDI ARABIA; SCHOOL CHILD; SOCIOECONOMICS;

AGE FACTORS; DEMOGRAPHY; DENGUE; GEOGRAPHIC INFORMATION SYSTEMS; HUMANS; MODELS, BIOLOGICAL; POPULATION DENSITY; PREVALENCE; REMOTE SENSING TECHNOLOGY; RISK ASSESSMENT; SAUDI ARABIA; SOCIOECONOMIC FACTORS;

SAUDI ARABIA;

EID: 80053320972     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2011.08.028     Document Type: Article

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