Recently, there has been an increasing ecological and global public health concern associated with environmental contamination by arsenic (As), cadmium (Cd), nickel (Ni) and lead (Pb). This study aims to visualize distribution of these heavy metals concentration in urine of 817 Malaysian adults in Malaysia. This cross-sectional study compiled urine samples from October 2017 to March 2018. Spatial inverse distance weighted (IDW) interpolation method was used to derive a map which illustrate the distribution of these metals from urine samples. Moran's I Index was used to assess the spatial autocorrelation of these metals between the study area. The mean concentration for Ni and Cd was highest in Perak while for As and Pb, they were predominantly in East Coast region (Terengganu and Kelantan). Moran's I index showed significant spatial autocorrelation exist in the study area for all metals except for Pb (p-value<0.05). According to IDW, people in North East and Western regions had the highest concentrations for As and Cd. Individuals in Central region were less exposed than those in North region. These techniques can assist health authorities a better prediction in assessing exposure to heavy metals in population of an area to prioritize their control and preventive measure.
Keywords: GIS; Heavy metal; Malaysia; Urine.
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