| Abstract |
: |
The use of free, open Geographical Information System (GIS) source software in Malaysia has evolved rapidly in the recent years, from a generating map digitally into a set of methods with various applications. Free open GIS source software has been utilised in health management fields due to its cost factor and user-friendly feature. Therefore, a comparison of selected free, open GIS source software focusing on the distribution of tuberculosis (TB) cases is presented in this paper to examine their functions and technical usability for local spatial epidemiological applications of Sarawak, Malaysia. Three health-based free open GIS source software are selected in this comparative study i.e., gvSIG, GeoDa and MapWindows GIS. These software’s are possible alternatives to the licenced software (ArcGIS). The functions and output of each software are analysed using mapping, spatial analysis, and online system visualization. The free GIS open-source software might not be able to compete with licenced software in terms of advanced analysis. However, for basic mapping and spatial analysis functions such as heatmap mapping and hotspot detection, free GIS open-source software is a sufficient choice, especially for non-genetic or non-computer-based users. |
| References |
: |
|
[1]Berra TZ, Queiroz AA, Yamamura M, Arroyo LH, Garcia MC, Popolin MP, et al. Spatial risk of tuberculosis mortality and social vulnerability in Northeast Brazil. Journal of the Brazilian Society of Tropical Medicine. 2017; 50(5):693-7.
|
| [Crossref] |
[Google Scholar] |
|
[2]https://apps.who.int/iris/bitstream/handle/10665/336069/9789240013131-eng.pdf. Accessed 10 October 2020.
|
|
[3]https://kpkesihatan.com/2019/03/25/kenyataan-akhbar-kpk-25-mac-2019-sempena-sambutan-hari-tibi-sedunia-2019/?fbclid= IwAR0iZcSRCWJw63q2avREbinrTOjb2sg6BiHNqa4FepqHjhTsOBJXJUFBY. Accessed 10 October 2020.
|
|
[4]Singleton AD, Spielman S, Brunsdon C. Establishing a framework for open geographic information science. International Journal of Geographical Information Science. 2016; 30(8):1507-21.
|
| [Crossref] |
[Google Scholar] |
|
[5]https://thenewstack.io/humble-beginnings-world-changing. Accessed 10 October 2020.
|
|
[6]Azewan MD, Rasam AR. Disease mapping and health analysis using free and open source software for geospatial (FOSS4G): an exploratory qualitative study of tuberculosis. In charting the sustainable future of ASEAN in Science and Technology 2020 (pp. 495-506). Springer, Singapore.
|
| [Crossref] |
[Google Scholar] |
|
[7]Abdul Rasam AR, Shariff NM, Dony JF. Identifying high-risk populations of tuberculosis using environmental factors and GIS based multi-criteria decision making method. International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences. 2016; 42(4):9-13.
|
| [Google Scholar] |
|
[8]Rasam AA, Shariff NM, Dony JF, Misni A. Socio-environmental factors and tuberculosis: an exploratory spatial analysis in peninsular Malaysia. International Journal of Engineering and Technology. 2018; 7(3):187-92.
|
| [Crossref] |
[Google Scholar] |
|
[9]Evans B, Sabel CE. Open-source web-based geographical information system for health exposure assessment. International Journal of Health Geographics. 2012; 11(1):1-11.
|
| [Crossref] |
[Google Scholar] |
|
[10]Bui TQ, Pham HM. Web-based GIS for spatial pattern detection: application to malaria incidence in Vietnam. SpringerPlus. 2016; 5:1-14.
|
| [Crossref] |
[Google Scholar] |
|
[11]Jamaluddin AS, Rasam AR, Khalid N, Halim MA. Exploring open source GIS for drug mapping and analysis in Malaysia. In international conference on system engineering and technology 2018 (pp. 91-6). IEEE.
|
| [Crossref] |
[Google Scholar] |
|
[12]Abdul Rasam AR, Shariff NM, Dony JF, Maheswaran P. Mapping risk areas of tuberculosis using knowledge-driven GIS model in shah alam, Malaysia. Pertanika Journal of Social Sciences & Humanities. 2017; 25:135-44.
|
| [Google Scholar] |
|
[13]Rasam AA, Shariff NM, Dony JF, Othman F. Spatial and statistics for profiling risk factors of diseases: a case study of tuberculosis in Malaysia. In IOP conference series: earth and environmental science 2019 (pp. 1-10). IOP Publishing.
|
| [Google Scholar] |
|
[14]Bernardi R. IT innovation in a health information system in Kenya: Implications for a sustainable open-source software model in developing countries. In proceedings of the 10th international conference on social implications of computers in developing countries, Dubai 2009.
|
| [Google Scholar] |
|
[15]Sadoun B, Al-Bayari O, Al-Azizi J, Al Rawashdeh S. The BAU GIS system using open source mapwindow. Human-Centric Computing and Information Sciences. 2015; 5(1):1-12.
|
| [Crossref] |
[Google Scholar] |
|
[16]Duarte L, Teodoro AC, Freitas A. GIS open source application as a support to a hospital morbidity database-hospital GIS. In international conference on geographical information systems theory, applications and management 2017 (pp. 169-16). SCITEPRESS.
|
| [Google Scholar] |
|
[17]Pettit C, Stimson B, Barton J, Goldie X, Greenwood P, Lovelace R, et al. Open access, open source and cloud computing: a glimpse into the future of GIS. In Handbook of Planning Support Science 2020. Edward Elgar Publishing.
|
| [Crossref] |
[Google Scholar] |
|
[18]Mobasheri A, Mitasova H, Neteler M, Singleton A, Ledoux H, Brovelli MA. Highlighting recent trends in open source geospatial science and software. Tranasation GIS. 2020; 24(5):1141-6.
|
| [Crossref] |
[Google Scholar] |
|
[19]Coetzee S, Ivánová I, Mitasova H, Brovelli MA. Open geospatial software and data: a review of the current state and a perspective into the future. ISPRS International Journal of Geo-Information. 2020; 9(2):1-30.
|
| [Crossref] |
[Google Scholar] |
|
[20]Minghini M, Mobasheri A, Rautenbach V, Brovelli MA. Geospatial openness: from software to standards & data. Open Geospatial Data, Software and Standards.2020.
|
| [Crossref] |
[Google Scholar] |
|
Full-Text PDF
