Abstract
Introduction: Geographical Information System (GIS) has been increasingly used to analyze the distribution and spatial analysis of diseases. The GIS component of the Malaysian Health Data Warehouse (GIS-MyHDW) was used to maintain spatial database of COVID-19 cases in Malaysia. These data were utilized to visualize mapping of COVID-19 cases in Malaysia to assist analysis by stakeholders and to plan for targeted public health interventions. The aim of this article is to describe the spatial distribution of COVID-19 cases in Klang Valley over specific period of time using GIS.
Methods: All COVID-19 cases line listing were uploaded into the portal of GIS MyHDW. Cases were classified into sporadic and cluster cases. Feature map were published in GIS MyHDW environment in order to map COVID-19 cases for further spatial analysis. Afterward, data filter was applied to the feature map to include only data in Klang Valley, both sporadic and cluster cases between epidemiology week 13 of 2021 which started on 28 March 2021 until epidemiology week 24 of 2022 which ended on 19 Jun 2021. Time function on feature map were enabled to determine temporal changes on spatial distribution of COVID-19 cases using time slider.
Results: During epidemiology week 13 most of COVID-19 cases concentrated in Kuala Lumpur and Petaling Jaya area. Afterward cases of COVID-19 were spatially distributed towards periphery of Klang Valley over Gombak, Hulu Langat and Klang area. Most of the cases consist of sporadic cases compare to cluster cases. Cases of COVID-19 were less concentrated at the periphery of Klang Valley starting from epidemiology week 24.
Discussion/ Conclusion: GIS can provide visual analyses and mapped evidence of COVID-19 cases, as well as to understand the dynamic of COVID-19 distribution and spread. The spatial analysis contributes to a targeted strategies for a cost-effective control of the outbreak.
Links
- https://apcph.cphm.my/wp-content/uploads/2022/07/APCPH2022-O-50.pdf
- https://apcph.cphm.my/events/oral-session-2-ballroom-B/
BibTeX (Download)
@proceedings{APCPH2022-O-50,
title = {Spatial Analysis of COVID-19: GIS-MyHDW Experience},
author = {Mohamad Fadli Kharie and Nafisah Mazlan and Nuraidah Mohd Marzuki and Rozita Hussein},
url = {https://apcph.cphm.my/wp-content/uploads/2022/07/APCPH2022-O-50.pdf
https://apcph.cphm.my/events/oral-session-2-ballroom-B/},
year = {2022},
date = {2022-08-01},
urldate = {2022-08-02},
issue = {7},
abstract = {Introduction: Geographical Information System (GIS) has been increasingly used to analyze the distribution and spatial analysis of diseases. The GIS component of the Malaysian Health Data Warehouse (GIS-MyHDW) was used to maintain spatial database of COVID-19 cases in Malaysia. These data were utilized to visualize mapping of COVID-19 cases in Malaysia to assist analysis by stakeholders and to plan for targeted public health interventions. The aim of this article is to describe the spatial distribution of COVID-19 cases in Klang Valley over specific period of time using GIS.
Methods: All COVID-19 cases line listing were uploaded into the portal of GIS MyHDW. Cases were classified into sporadic and cluster cases. Feature map were published in GIS MyHDW environment in order to map COVID-19 cases for further spatial analysis. Afterward, data filter was applied to the feature map to include only data in Klang Valley, both sporadic and cluster cases between epidemiology week 13 of 2021 which started on 28 March 2021 until epidemiology week 24 of 2022 which ended on 19 Jun 2021. Time function on feature map were enabled to determine temporal changes on spatial distribution of COVID-19 cases using time slider.
Results: During epidemiology week 13 most of COVID-19 cases concentrated in Kuala Lumpur and Petaling Jaya area. Afterward cases of COVID-19 were spatially distributed towards periphery of Klang Valley over Gombak, Hulu Langat and Klang area. Most of the cases consist of sporadic cases compare to cluster cases. Cases of COVID-19 were less concentrated at the periphery of Klang Valley starting from epidemiology week 24.
Discussion/ Conclusion: GIS can provide visual analyses and mapped evidence of COVID-19 cases, as well as to understand the dynamic of COVID-19 distribution and spread. The spatial analysis contributes to a targeted strategies for a cost-effective control of the outbreak.},
howpublished = {published online at https://apcph.cphm.my},
note = {Type: ORAL PRESENTATION; Organisation: Pusat Informatik Kesihatan, Bahagian Perancangan KKM},
keywords = {},
pubstate = {published},
tppubtype = {proceedings}
}