Generating a dengue risk map (DRM) based on environmental factors using remote sensing and GIS technologies

Siti Morni Umor, Mazlin Mokhtar, Noraini Surip, Anizar Ahmad

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Dengue Fever (DF) and Dengue Haemorrhagic Fever (DHF) are the two most dreaded mosquito-borne viral diseases affecting man. These cases are reported throughout the Americas, Southern Europe, North Africa, Mediterranean, Asia and Pacific regions. The DF/DHF disease is also a public health problem in Malaysia where the number of such reported cases have dramatically increased during the last ten years. Remote sensing and Geographic Information System (GIS) technologies have been used in this study to link and update information on the environment, weather conditions, and the reported number of dengue incidences. These technologies have been widely used in the public health sector for managing and monitoring the problem. Remote sensing data is utilized to manage the problem by incorporating environmental factors such as changes in landuse and land surface temperature. Remote sensing data was also useful in generating the digital elevation model (DEM), housing types and profiles of the population density. These data were stored together with other ancillary data obtained from relevant agencies in the GIS database for further analysis and modeling. The developed Dengue Risk model was then verified by using historical records obtained from the Majlis Perbandaran Subang Jaya (MPSJ) local authority which wan then overlaid on high resolution remote sensing data to identify the source of mosquito problem (i.e vector breeding areas). It was found that more than ninety percent of the case samples were in the 'High' and 'Very High' categories where the victims were found to have lived near construction and industrial sites. The developed dengue risk model was then integrated with spatial datasets and temporal datasets of high resolution satellite imagery to identify the influencing factors of the outbreak. The tools developed in this study would be useful for decision makers to respond, strategize and create preventive action plans to control the dengue transmission.

Original languageEnglish
Title of host publication28th Asian Conference on Remote Sensing 2007, ACRS 2007
Pages867-881
Number of pages15
Volume2
Publication statusPublished - 2007
Event28th Asian Conference on Remote Sensing 2007, ACRS 2007 - Kuala Lumpur
Duration: 12 Nov 200716 Nov 2007

Other

Other28th Asian Conference on Remote Sensing 2007, ACRS 2007
CityKuala Lumpur
Period12/11/0716/11/07

Fingerprint

Geographic information systems
Remote sensing
Public health
Satellite imagery
Medical problems
Monitoring
Temperature

Keywords

  • Dengue fever (DF) and dengue haemorrhagic fever (DHF)
  • Geographic information system (GIS)
  • Remote sensing

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Umor, S. M., Mokhtar, M., Surip, N., & Ahmad, A. (2007). Generating a dengue risk map (DRM) based on environmental factors using remote sensing and GIS technologies. In 28th Asian Conference on Remote Sensing 2007, ACRS 2007 (Vol. 2, pp. 867-881)

Generating a dengue risk map (DRM) based on environmental factors using remote sensing and GIS technologies. / Umor, Siti Morni; Mokhtar, Mazlin; Surip, Noraini; Ahmad, Anizar.

28th Asian Conference on Remote Sensing 2007, ACRS 2007. Vol. 2 2007. p. 867-881.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Umor, SM, Mokhtar, M, Surip, N & Ahmad, A 2007, Generating a dengue risk map (DRM) based on environmental factors using remote sensing and GIS technologies. in 28th Asian Conference on Remote Sensing 2007, ACRS 2007. vol. 2, pp. 867-881, 28th Asian Conference on Remote Sensing 2007, ACRS 2007, Kuala Lumpur, 12/11/07.
Umor SM, Mokhtar M, Surip N, Ahmad A. Generating a dengue risk map (DRM) based on environmental factors using remote sensing and GIS technologies. In 28th Asian Conference on Remote Sensing 2007, ACRS 2007. Vol. 2. 2007. p. 867-881
Umor, Siti Morni ; Mokhtar, Mazlin ; Surip, Noraini ; Ahmad, Anizar. / Generating a dengue risk map (DRM) based on environmental factors using remote sensing and GIS technologies. 28th Asian Conference on Remote Sensing 2007, ACRS 2007. Vol. 2 2007. pp. 867-881
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