Spatial analysis of food poisoning cases and its environmental relations in Sabah, Malaysia

Syed Sharizman Syed Abdul Rahim, and Shamsul Azhar Shah, and Zahir Izuan Azhar, and Mohammad Saffree Jeffree, and Mohd Rohaizat Hassan, and Nazarudin Safian, (2019) Spatial analysis of food poisoning cases and its environmental relations in Sabah, Malaysia. In: Malaysian Journal of Medicine and Health Sciences.

Spatial Analysis of Food Poisoning Cases and its Environmental Relations in Sabah Malaysia.pdf

Download (2MB) | Preview


Food poisoning usually occurs with the consumption of contaminated food. Some related factors are unsafe water supply, poor sanitation, unhygienic waste disposal and unhygienic practices or poor personal hygiene by food handlers. The purpose of this study is to describe the spatial epidemiology of food poisoning cases in the four districts of Sabah. Methods: This review consists of all food poisoning cases reported from 2011 to 2014 from Kota Kinabalu, Penampang, Putatan and Papar, Sabah. The coordinates used for locations of cases are based on home addresses. Tools such as SPSS v20, ArcGIS v10 and CrimeStat IV were used for data analysis and mapping. Results: A total of 1,787 cases of food poisoning were reported during this review period. In 2011, only Kota Kinabalu and Papar illustrated significant food poisoning clusters. Meanwhile, in the year 2012 to 2014, Kota Kinabalu, Penampang and Putatan had clustering of cases. Analysis of nearest neighbour hierarchical clustering analysis showed 32 food poisoning clusters. There were 4 food poisoning points at 500 meters radius around a market place, 2 food poisoning points near a sewage plant and 1 food poisoning point near a water treatment plant. No cases were near a municipal landfill. For rivers and coastline, there were 37 points of food poisoning cases in the proximity of 500 meters. Conclusion: Food poisoning usually occurs in clusters with possible associated environmental factors.

Item Type: Conference or Workshop Item (Other)
Uncontrolled Keywords: poisoning, GIS, Spatial analysis, Clusters
Subjects: R Medicine > R Medicine (General)
Divisions: FACULTY > Faculty of Medicine and Health Sciences
Depositing User: Noraini
Date Deposited: 09 Feb 2020 23:39
Last Modified: 09 Feb 2020 23:39

Actions (login required)

View Item View Item