International Journal of Advanced Technology and Engineering Exploration (IJATEE) ISSN (P): 2394-5443 ISSN (O): 2394-7454 Vol - 8, Issue - 78, May 2021
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Geospatial infrastructure solutions for local government sectors: geo-enabling infectious disease monitoring system in state health departments

Abdul Rauf Abdul Rasam, Nur Syaidatul Syuhada Ahmad Zuki, Nurhafiza Md Saad and Rosmadi Ghazali

Abstract

Nowadays, airborne disease is one of the most killer diseases, in particular among a high urban population and uncontrolled movement activities of low socio-economic communities. Most local health departments in poor developing countries have difficulty in fully applying geospatial technology for local agencies due to high-cost and technical skills. This study demonstrates the ways to develop a low-cost and minimal-skill disease system for the local health government sector using the ArcGIS solution platform in Selangor, Malaysia. Features and functions of ArcGIS such as ArcGIS Pro, ArcGIS Online and Web Apps were explored for the disease mapping, data analysis and system development. By focusing on tuberculosis (TB) cases as examples, the result showed that a TB monitoring system was developed by fulfilling the user requirements. The system displays the database and mapping of the cases and spatially analyses the cases. A geospatial solution platform, mainly ArcGIS could assist the local organisations in managing the disease datasets in a systematic way.

Keyword

IS, Geospatial, ArcGIS solution, Disease system, Spatial health, Local and state governments.

Cite this article

Rasam AR, Zuki NS, Saad NM, Ghazali R

Refference

[1][1]https://www.thestar.com.my/metro/metro-news/2019/09/03/more- than-a-bad-cough. Accessed 27 September 2020.

[2][2]Saran S, Singh P, Kumar V, Chauhan P. Review of geospatial technology for infectious disease surveillance: use case on COVID-19. Journal of the Indian Society of Remote Sensing. 2020; 48(8):1121-38.

[3][3]Boulos MN. Towards evidence-based, GIS-driven national spatial health information infrastructure and surveillance services in the United Kingdom. International Journal of Health Geographics. 2004; 3(1):1-50.

[4][4]Rasam AR, Noor AM, Ahmad N, Ghazali R. MyGeoHealth: GIS-based cholera transmission risk system in Sabah, Malaysia. In international colloquium on signal processing and its applications 2011 (pp. 474-9). IEEE.

[5][5]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.

[6][6]Kuldeep D, Verma AK, Ruchi T, Sandip C, Kranti V, Sanjay K, et al. A perspective on applications of geographical information system (GIS): an advanced tracking tool for disease surveillance and monitoring in veterinary epidemiology. Advances in Animal and Veterinary Sciences. 2013; 1(1):14-24.

[7][7]Tofiloski S. Geospatial analysis of water-associated infectious diseases: case of Myanmar. 2018.

[8][8]Rasam AR, Shariff NM, Dony J. The invention of geospatial decision support system for malaysian tuberculosis surveillance data management. Environment-Behaviour Proceedings Journal. 2020; 5(SI3):269-74.

[9][9]Chen M, Ritenour D, Maier K. Enhancing the US TBI data infrastructure: geospatial perspective. Annals of GIS. 2020; 26(3):311-8.

[10][10]Tripp Corbin GI. Learning ArcGIS Pro. Packt Publishing Ltd; 2015.

[11][11]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.

[12][12]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.

[13][13]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(3.11):187-92.

[14][14]Krishnan S, Crosby C, Nandigam V, Phan M, Cowart C, Baru C, et al. OpenTopography: a services oriented architecture for community access to LIDAR topography. In proceedings of the 2nd international conference on computing for geospatial research & applications 2011 (pp. 1-8).

[15][15]Wickramasuriya R, Ma J, Berryman M, Perez P. Using geospatial business intelligence to support regional infrastructure governance. Knowledge-Based Systems. 2013; 53:80-9.

[16][16]Kim M, Gwak I, Koh J. The strategies of advanced local spatial data infrastructure for seoul metropolitan Government. International Journal of Urban Sciences. 2019; 23(3):352-68.

[17][17]Ebener S, Roth S, Khetrapal S. Building capacity for geo-enabling health information systems: supporting equitable health services and well-being for all. Asian Development Bank. 2018.

[18][18]Valachamy M, Sahibuddin S, Ahmad NA, Bakar NA. A review of MyGDI: the catalyst of the evolution of geographical information systems in Malaysian public sector. Open International Journal of Informatics (OIJI). 2019; 7( 2):127-37.

[19][19]Bazlan MJ, Ghazali R, Rasam AR, Ab Aziz NF. Development of integrated infectious disease information system (IDIS): geospatial-based components for malaria information system (GeoMIS). In control and system graduate research colloquium 2014 (pp. 75-9). IEEE.

[20][20]Rasam AR, Shariff NM, Dony JF, Sulaiman SA. Geospatial tuberculosis information system for airborne disease management. Jurnal Inovasi Malaysia. 2018; 2(1):75-88.

[21][21]Johnson CP, Johnson J. GIS: a tool for monitoring and management of epidemics. Proceedings of Map India. 2001.

[22][22]Smith D, Strout N, Harder C, Moore SD, Ormsby T, Balstrøm T. Understanding GIS: an arcGIS pro project workbook. Esri Press; 2017.

[23][23]Bojovic D, Giupponi C. Understanding the dissemination and adoption of innovations through social network analysis: geospatial solutions for disaster management in Nepal and Kenya. Journal of Environmental Planning and Management. 2020; 63(5):818-41.

[24][24]Watson RB, Ryan PJ. Big data analytics in Australian local government. Smart Cities. 2020; 3(3):657-75.

[25][25]Brandt T, Wagner S, Neumann D. Prescriptive analytics in public-sector decision-making: a framework and insights from charging infrastructure planning. European Journal of Operational Research. 2021; 291(1):379-93.

[26][26]Tripathi AK, Agrawal S, Gupta RD. Cloud enabled SDI architecture: a review. Earth Science Informatics. 2020; 13:211-31.

[27][27]Mobasheri A. An introduction to open source geospatial science for urban studies. In open source geospatial science for urban studies 2021 (pp. 1-8). Springer, Cham.

[28][28]https://solutions.arcgis.com/. Accessed 27 September 2020.

[29][29]https://www.esri.com/en-us/industries/health/segments/public-health. Accessed 27 September 2020.

[30][30]http://www.teachmegis.com. Accessed 27 September 2020.