BACKGROUND: The application of the Geographic Information Systems (GIS) to the study of vector transmitted diseases considerably improves the management of the information obtained from the field survey and facilitates the study of the distribution patterns of the vector species. METHODS: As part of a study to assess remote sensing data as a tool for vector mapping, geographical features like rivers, small streams, forest, roads and residential area were digitized from the satellite images and overlaid with entomological data. Map of larval breeding habitats distribution and map of malaria transmission risk area were developed using a combination of field data, satellite image analysis and GIS technique. All digital data in the GIS were displayed in the WGS 1984 coordinate system. Six occasions of larval surveillance were also conducted to determine the species of mosquitoes, their characteristics and the abundance of habitats. RESULTS: Larval survey studies showed that anopheline and culicine larvae were collected and mapped from 79 and 67 breeding sites respectively. Breeding habitats were located at 100-400 m from human settlement. Map of villages with 400 m buffer zone visualizes that more than 80% of Anopheles maculatus s.s. immature habitats were found within the buffer zone. CONCLUSIONS: This study amplifies the need for a broadening of the GIS approach which is emphasized with the aim of rejuvenating the dynamic aspect of entomological studies in Malaysia. In fact, the use of such basic GIS platforms promote a more rational basis for strategic planning and management in the control of endemic diseases at the national level.
BACKGROUND: The application of the Geographic Information Systems (GIS) to the study of vector transmitted diseases considerably improves the management of the information obtained from the field survey and facilitates the study of the distribution patterns of the vector species. METHODS: As part of a study to assess remote sensing data as a tool for vector mapping, geographical features like rivers, small streams, forest, roads and residential area were digitized from the satellite images and overlaid with entomological data. Map of larval breeding habitats distribution and map of malaria transmission risk area were developed using a combination of field data, satellite image analysis and GIS technique. All digital data in the GIS were displayed in the WGS 1984 coordinate system. Six occasions of larval surveillance were also conducted to determine the species of mosquitoes, their characteristics and the abundance of habitats. RESULTS: Larval survey studies showed that anopheline and culicine larvae were collected and mapped from 79 and 67 breeding sites respectively. Breeding habitats were located at 100-400 m from human settlement. Map of villages with 400 m buffer zone visualizes that more than 80% of Anopheles maculatus s.s. immature habitats were found within the buffer zone. CONCLUSIONS: This study amplifies the need for a broadening of the GIS approach which is emphasized with the aim of rejuvenating the dynamic aspect of entomological studies in Malaysia. In fact, the use of such basic GIS platforms promote a more rational basis for strategic planning and management in the control of endemic diseases at the national level.
Authors: A Rohani; W M A Wan Najdah; I Zamree; A H Azahari; I Mohd Noor; H Rahimi; H L Lee Journal: Southeast Asian J Trop Med Public Health Date: 2010-07 Impact factor: 0.267
Authors: A W Hightower; M Ombok; R Otieno; R Odhiambo; A J Oloo; A A Lal; B L Nahlen; W A Hawley Journal: Am J Trop Med Hyg Date: 1998-03 Impact factor: 2.345
Authors: Noboru Minakawa; Stephen Munga; Francis Atieli; Emmanuel Mushinzimana; Guofa Zhou; Andrew K Githeko; Guiyun Yan Journal: Am J Trop Med Hyg Date: 2005-07 Impact factor: 2.345
Authors: Kamil A Braima; Jia-Siang Sum; Amir-Ridhwan M Ghazali; Mustakiza Muslimin; John Jeffery; Wenn-Chyau Lee; Mohammed R Shaker; Alaa-Eldeen M Elamin; Ibrahim Jamaiah; Yee-Ling Lau; Mahmud Rohela; Adeeba Kamarulzaman; Frankie Sitam; Rosnida Mohd-Noh; Noraishah M Abdul-Aziz Journal: PLoS One Date: 2013-10-23 Impact factor: 3.240