Zabidi Azhar, Mohd Hussin
(2013)
Mapping of children with malnutrition in
kelantan utilizing open geographic
information system (gis) and remote sensing
platform.
Other.
Pusat Pengajian Sains Perubatan.
(Submitted)
Abstract
The Mapping of Children with Malnutrition in Kelantan Utilizing Open Source Geographic
Information System (GIS) and Remote Sensing Platform" study was started at 31 October until 30
September 2010 and extends till 31 December 2010. This study was one of the university research {RU)
grant headed by Prof. Zabidi Azhar Husin @ Mohd Hussin. The main objective of this study was to
identify malnourish children (severe) from 1 day to 6 years old from 12 clinics in Kota Bharu via mapping
the location of children with USM Growth Monitor and Geoinformation System {GIS).In this study, data
collection was done through the "USM Growth Monitor" online system produced in this study. Through
this system, raw data from all the clinic were entered by the nurses involve at the clinic and is able to
retrieve direct to research centre at USM. Data regarding Geoinformation System such as soil structure,
water source and so on were getting from Malaysian Remote Sensing Agency (ARSM). Kota Bharu
district was chosen as a study area for this research from 10 districts in Kelantan after successful
research at Tum pat {2007). At the beginning of the study, Anthropometric data such as date of birth,
birth weight, birth length and also weaning information of the children aged between 1 day to 6 years
old were assemble from every health clinic (Kiinik Kesihatan in Kota Bharu District. Birth weight and
length data according to children age were converting to nutritional status using Epilnfo programme (Epi
Info'" Version 3.4). The total of 4616 data were collected consist of 2285 {49.5%) boys and 2331{50.5%)
girls. Outcome from nutritional status analysis shown that 3.4% of the children were Overweight, 15.3%
were undernourished [10.3% were moderate undernourished {-2SD) and 4.5% were severe
undernourished {-3SD)]. From this preliminary result, Remote sensing techniques were using to identify
the home location of the children and correlation with GIS information and nutritional status were
assessed.
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