Development of a WEBGIS-Mapping Information System of Tuberculosis (MISS TB) For Plotting Tuberculosis Cases: A Case Study in Sleman District, Yogyakarta Province, Indonesia

Hendra  Rohman; Alwhan  Nurrochman

doi:10.21070/pels.v6i0.1954

(1) * Hendra Rohman Medical Record and Health Information, Health Polytechnic of bhakti Setya Indonesia
Indonesia
(2) Alwhan Nurrochman Medical Record and Health Information, Health Polytechnic of bhakti Setya Indonesia
Indonesia
(*) Corresponding Author

DOI: https://doi.org/10.21070/pels.v6i0.1954

Abstract

Geographic information system for health information management and public health to analyze the spatial disease distributions in surveillance has increasingly applied in the last few decades. The programming skills needed to utilize the software appropriately in contact tracing and follow up control measures for tuberculosis (TB) patients. This study aimed to develop a more user friendly application by applying XAMPP application to create WEBGIS localhost, PHP My Admin for MySQL database management, MySQL server as a database management system (DBMS), Visual Studio Code application for creating programming. The system development method uses a waterfall model. These data were collected from infectious disease prevention and control officers at the Sleman District Health Service and tuberculosis reporting programmer officers at community health centers. Data on rainfall, humidity, altitude, temperature, area, population and population density were obtained from the Central Statistics Agency of Sleman Regency. Data visualization in mapping for 17 sub-districts in Sleman Regency. The geographic menu contains information on rainfall, humidity, altitude and temperature for each month in tabular form. The demographics menu contains information on the area, population and population density of each sub-district in tabular form. The distribution location input menu is used to add data on tuberculosis cases. The distribution list menu contains a table that contains a database stored from the location input. The account menu on the administrator user contains a list of accounts created or registered in system. The website-based geographic information system (GIS) application is expected to improve case data reporting, case monitoring, support data availability, and visualize the distribution of tuberculosis cases in Sleman Regency through the mapping menu. The application developed should assist health information management and public health experts to utilize medical record data and spatial data for the surveillance purposes comprehensively.

Downloads

Download data is not yet available.

References

[1] Mohidem, N. A., Osman, M., Muharam, F. M., Elias, S. M., Shaharudin, R., & Hashim, Z. (2021). Development of a web-geographical information system application for plotting tuberculosis cases. Geospatial Health, 16(2).
[2] Rosli, N. M., Shah, S. A., & Mahmood, M. I. (2018). Geographical Information System (GIS) application in tuberculosis spatial clustering studies: a systematic review. Malaysian Journal of Public Health Medicine, 18(1), 70-80.
[3] Hijriani, A., & Cahyani, A. (2021). Web GIS based assessment using SAW methods to identify high risk areas of tuberculosis transmission and incidence in Bandar Lampung City. In Journal of Physics: Conference Series (Vol. 1751, No. 1, p. 012033). IOP Publishing.
[4] Mwila, I., & Phiri, J. (2020). Geospatial, cloud and web based model for evidence-based decision-making in tuberculosis prevention. IJACSA) International Journal of Advanced Computer Science and Applications.
[5] Vitianingsih, A. V., Cahyono, D., & Choiron, A. (2017, October). Analysis and design of web-geographic information system for tropical diseases-prone areas: A case study of East Java Province, Indonesia. In 2017 4th International Conference on Information Technology, Computer, and Electrical Engineering (ICITACEE) (pp. 255-260). IEEE.
[6] Mwila, I., & Phiri, J. (2020). Tuberculosis prevention model in developing countries based on geospatial, cloud and web technologies. International Journal of Advanced Computer Science and Applications, 11(1).
[7] Mohidem, N. A., Osman, M., Muharam, F. M., Elias, S. M., Shaharudin, R., & Hashim, Z. (2021). Portal TB Gombak: Web-Based Application for Plotting of Tuberculosis Cases in Gombak, Selangor, Malaysia.
[8] Mwila, I., & Phiri, J. (2020). Geospatial, cloud and web based model for evidence-based decision-making in tuberculosis prevention. IJACSA) International Journal of Advanced Computer Science and Applications.
[9] Moonan, P. K., Bayona, M., Quitugua, T. N., Oppong, J., Dunbar, D., Jost, K. C., ... & Weis, S. E. (2004). Using GIS technology to identify areas of tuberculosis transmission and incidence. International Journal of Health Geographics, 3, 1-10.
[10] Guthrie, J. L., Alexander, D. C., Marchand-Austin, A., Lam, K., Whelan, M., Lee, B., ... & Jamieson, F. B. (2017). Technology and tuberculosis control: the OUT-TB Web experience. Journal of the American Medical Informatics Association, 24(e1), e136-e142.
[11] Zouiten, M., Harti, M., & NejjarI, C. SIG100T: A prototype for web-based health GIS application and diseases Management (Cancers and Tuberculosis in Morocco). &#', 191.
[12] Elzubair, R. M. E. A. (2009). Aiding decision making in public health domain using web gis (Doctoral dissertation, Universiti Teknologi Malaysia).
[13] Azewan, M. D. H., & Abdul Rasam, A. R. (2020). 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: Proceedings from the 3rd International Conference on the Future of ASEAN (ICoFA) 2019-Volume 2 (pp. 495-506). Springer Singapore.
[14] Warni, E., Yohanes, C., Zainuddin, Z., Wardhani, T. P. M., & Rusmiati, A. (2023, October). WebGIS Visualization of Infectious Disease Clustering with a Hybrid Sequential Approach. In Asia Simulation Conference (pp. 377-389). Singapore: Springer Nature Singapore.
[15] Rasam, A. R., Zuki, N. S., Saad, N. M., & Ghazali, R. (2021). Geospatial infrastructure solutions for local government sectors: geo-enabling infectious disease monitoring system in state health departments. International Journal of Advanced Technology and Engineering Exploration, 8(78), 670-684.
[16] Dao, T. P., Hoang, X. H. T., Nguyen, D. N., Huynh, N. Q., Pham, T. T., Nguyen, D. T., ... & Bui, H. M. (2022). A geospatial platform to support visualization, analysis, and prediction of tuberculosis notification in space and time. Frontiers in Public Health, 10, 973362.
[17] Dewi Lukita Sari, A., Rohman, H., & Oktaviana, S. (2022). Analisis Informasi Kesehatan Melalui Pemetaan Penyakit Tuberkulosis Pada Masa Pandemi Covid-19. Jurnal Amanah Kesehatan, 4(1), 20-27. https://doi.org/10.55866/jak.v4i1.140
[18] Rohman, H., Jannah, H. M., & Muharry, A. (2018). Spatial Pattern Pulmonary Tuberculosis Patient: Accessibility, Environment And Lifestyle Factor In Rural Area. In International Seminar Rural Urban and Community Health (ISRUNCH) (Vol. 1, No. 1).
[19] Rohman, H. (2018). Spatial patterns of pulmonary tuberculosis analysing rainfall patterns in visual formation. International Journal of Public Health Science (IJPHS), 7(1), 13.