Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/9522
Title: Modeling dengue fever risk based on socioeconomic parameters, nationality and age groups: GIS and remote sensing based case study
Contributor(s): Khormi, Hassan (author); Kumar, Lalit (author)orcid 
Publication Date: 2011
DOI: 10.1016/j.scitotenv.2011.08.028
Handle Link: https://hdl.handle.net/1959.11/9522
Abstract: Dengue fever (DF) and its impacts are growing environmental, economic, and health concerns in Saudi Arabia. In this study, we have attempted to model areas with humans at risk of dengue fever prevalence, depending on the spatial relationship between dengue fever cases and different socioeconomic parameters. We have developed new methods to verify the quality of neighborhoods from high resolution satellite images based on several factors such as density of houses in each neighborhood in each district, width of streets, and roof area of houses. In the absence of detailed neighborhood quality information being available for each district, we felt this factor would best approximate the reality on the ground at local scales. Socioeconomic parameters, such as population numbers, population density, and neighborhood quality were analyzed using Geographically Weighted Regression (GWR) to create a prediction model identifying levels of risk of dengue and to describe the association between DF cases and the related socio-economic factors. Descriptive analysis was used to characterize dengue fever victims among Saudis and non-Saudis in various age groups. The results show that there was a strong positive association between dengue fever cases and socioeconomic factors (R² = 0.80). The prevalence among Saudis was higher compared to non-Saudis in 2006 and 2007, while the prevalence among non-Saudis was higher in 2008, 2009 and 2010. For age groups, DF was more prevalent in adults between the ages of 16 and 60, accounting for approximately 74% of all reported cases in 2006, 67% in 2007, 81% in 2008, 87% in 2009, and 81% in 2010.
Publication Type: Journal Article
Source of Publication: Science of the Total Environment, 409(22), p. 4713-4719
Publisher: Elsevier BV
Place of Publication: The Netherlands
ISSN: 0048-9697
1879-1026
Field of Research (FOR): 050206 Environmental Monitoring
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Statistics to Oct 2018: Visitors: 167
Views: 164
Downloads: 2
Appears in Collections:Journal Article

Files in This Item:
2 files
File Description SizeFormat 
Show full item record

SCOPUSTM   
Citations

53
checked on Nov 30, 2018

Page view(s)

114
checked on Mar 5, 2019
Google Media

Google ScholarTM

Check

Altmetric

SCOPUSTM   
Citations

 

WEB OF SCIENCETM
Citations

 

Items in Research UNE are protected by copyright, with all rights reserved, unless otherwise indicated.