An Alert System for Informing Environmental Risk of Dengue Infections
Refereed conference paper presented and published in conference proceedings

Times Cited
Web of Science0WOS source URL (as at 22/09/2021) Click here for the latest count
Altmetrics Information

Other information
AbstractDengue is a mosquito-borne infection the incidence of which varies with the environment and climate. Knowingly, the reported incidence of dengue is an insensitive indicator of infection risk in a locality. The Ovitrap Index has been in use in many countries. This index is a measurement of mosquito eggs in specified geographic locations which, in turn, reflects the distribution of Aedine mosquitoes, the vector for dengue. An alert system, founded on the Geographic Information System (GIS) technology, was created from a synthesis of geospatial data on ovitrap indices in Hong Kong. The inter-relationship between ovitrap indices and temperature was studied. This inference forms the rationale for the generation of weighted overlays to define risk levels. The weighting can be adjusted to set the sensitivity of the alert system. The system is operational at two levels: (1) for the general public to assist in the evaluation of dengue risk in the community, and (2) for professionals and academia in undertaking technical analysis. The alert system offers one objective means to defining the risk of dengue in a society, which would not be affected by the incidence of the infection itself.
All Author(s) ListWong NS, Law CY, Lee MK, Lee SS, Lin H
Name of ConferenceInternational Conference in GIS and Health
Start Date of Conference27/06/2006
End Date of Conference29/06/2006
Place of ConferenceHong Kong
Country/Region of ConferenceChina
Detailed descriptioned. by Lai PC, Mak SH.
Pages171 - 183
LanguagesEnglish-United Kingdom
KeywordsDengue Alert System; GIS; health; Ovitrap Index; weighted overlay
Web of Science Subject CategoriesComputer Science; Computer Science, Interdisciplinary Applications; Geology; Geosciences, Multidisciplinary; Public, Environmental & Occupational Health; Remote Sensing

Last updated on 2021-23-09 at 00:20