Application of geographical information system-based analytical hierarchy process as a tool for dengue risk assessment
Objective: To highlight the use of analytical hierarchy process (AHP) in geographical information system that incorporates environmental indices to generate dengue risk zonation area. Methods: The medical database considered for the study was referenced to the environmental data layers. Factors...
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2016
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| Online Access: | http://eprints.usm.my/38351/ https://doi.org/10.1016/S2222-1808(16)61158-1 |
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| _version_ | 1834501476586618880 |
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| author | Che Dom, Nazri Ahmad, Abu Hassan Abd Latif, Zulkiflee Ismail, Rodziah |
| author_facet | Che Dom, Nazri Ahmad, Abu Hassan Abd Latif, Zulkiflee Ismail, Rodziah |
| author_sort | Che Dom, Nazri |
| building | Hamzah Sendut Library |
| collection | Institutional Repository |
| content_provider | Universiti Sains Malaysia |
| content_source | USM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Objective: To highlight the use of analytical hierarchy process (AHP) in geographical
information system that incorporates environmental indices to generate dengue risk zonation
area.
Methods: The medical database considered for the study was referenced to the environmental
data layers. Factors related to the risk of dengue fever (DF) were selected throughout previous
research and were arranged in a hierarchical structure. The relative weights of factors were
calculated, which were within acceptable range with the consistency ratio being less than 0.1.
The outcomes from AHP based DF risk zonation area produced useful information on different
levels of risks.
Results: As a result, factor weights used in AHP were evaluated and found to be acceptable as
the consistency ratio of 0.05, which was < 0.1. The most influential factors were found to be
housing types, population density, land-use and elevation. Findings from this study provided
valuable insights that could potentially enhance public health initiatives. The geographical
information system and spatial analytical method could be applied to augment surveillance
strategies of DF and other communicable diseases in an effort to promote actions of prevention
and control. The disease surveillance data obtained could be integrated with environmental
database in a synergistic way, which will in turn provide additional input towards the
development of epidemic forecasting models. |
| format | Article |
| id | my.usm.eprints.38351 |
| institution | Universiti Sains Malaysia |
| publishDate | 2016 |
| publisher | Elsevier |
| record_format | eprints |
| spelling | my.usm.eprints.38351 http://eprints.usm.my/38351/ Application of geographical information system-based analytical hierarchy process as a tool for dengue risk assessment Che Dom, Nazri Ahmad, Abu Hassan Abd Latif, Zulkiflee Ismail, Rodziah QH1 Natural history (General - Including nature conservation, geographical distribution) Objective: To highlight the use of analytical hierarchy process (AHP) in geographical information system that incorporates environmental indices to generate dengue risk zonation area. Methods: The medical database considered for the study was referenced to the environmental data layers. Factors related to the risk of dengue fever (DF) were selected throughout previous research and were arranged in a hierarchical structure. The relative weights of factors were calculated, which were within acceptable range with the consistency ratio being less than 0.1. The outcomes from AHP based DF risk zonation area produced useful information on different levels of risks. Results: As a result, factor weights used in AHP were evaluated and found to be acceptable as the consistency ratio of 0.05, which was < 0.1. The most influential factors were found to be housing types, population density, land-use and elevation. Findings from this study provided valuable insights that could potentially enhance public health initiatives. The geographical information system and spatial analytical method could be applied to augment surveillance strategies of DF and other communicable diseases in an effort to promote actions of prevention and control. The disease surveillance data obtained could be integrated with environmental database in a synergistic way, which will in turn provide additional input towards the development of epidemic forecasting models. Elsevier 2016-12 Article PeerReviewed Che Dom, Nazri and Ahmad, Abu Hassan and Abd Latif, Zulkiflee and Ismail, Rodziah (2016) Application of geographical information system-based analytical hierarchy process as a tool for dengue risk assessment. Asian Pacific Journal of Tropical Disease, 6 (12). pp. 928-935. ISSN 2222-1808 https://doi.org/10.1016/S2222-1808(16)61158-1 |
| spellingShingle | QH1 Natural history (General - Including nature conservation, geographical distribution) Che Dom, Nazri Ahmad, Abu Hassan Abd Latif, Zulkiflee Ismail, Rodziah Application of geographical information system-based analytical hierarchy process as a tool for dengue risk assessment |
| title | Application of geographical information system-based analytical hierarchy process as a tool for dengue
risk assessment |
| title_full | Application of geographical information system-based analytical hierarchy process as a tool for dengue
risk assessment |
| title_fullStr | Application of geographical information system-based analytical hierarchy process as a tool for dengue
risk assessment |
| title_full_unstemmed | Application of geographical information system-based analytical hierarchy process as a tool for dengue
risk assessment |
| title_short | Application of geographical information system-based analytical hierarchy process as a tool for dengue
risk assessment |
| title_sort | application of geographical information system-based analytical hierarchy process as a tool for dengue
risk assessment |
| topic | QH1 Natural history (General - Including nature conservation, geographical distribution) |
| url | http://eprints.usm.my/38351/ https://doi.org/10.1016/S2222-1808(16)61158-1 |
| url_provider | http://eprints.usm.my/ |