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Applications of GIS: Disaster Management and Emergency Response01:29

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Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
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A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
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Development of a web-geographical information system application for plotting tuberculosis cases.

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This study developed a user-friendly webGIS application to improve tuberculosis (TB) surveillance by visualizing spatial disease distributions and sociodemographic factors, aiding public health interventions.

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Area of Science:

  • Public Health
  • Spatial Epidemiology
  • Health Informatics

Background:

  • Tuberculosis (TB) surveillance faces challenges due to limited programming skills among public health officers for spatial data analysis.
  • Effective contact tracing and control measures require accessible tools for analyzing disease distribution patterns.

Purpose of the Study:

  • To develop a user-friendly web-based Geographic Information System (webGIS) application for enhanced tuberculosis surveillance.
  • To integrate sociodemographic data with spatial information for comprehensive analysis of TB cases.
  • To assist public health experts in utilizing spatial data for targeted interventions and policy development.

Main Methods:

  • Application development using CodeIgniter framework, ArcGIS JavaScript, JavaScript, and Hypertext Preprocessor.
  • WebGIS technology for interactive mapping of TB case locations.
  • Geocoding of 3325 TB cases using latitude and longitude data from Gombak, Selangor, Malaysia (2013-2017).
  • Inclusion of sociodemographic variables such as age, gender, race, education, employment, and smoking status.

Main Results:

  • An interactive map displaying TB case locations with filters for sociodemographic factors was successfully generated.
  • The application demonstrated the utility of spatial data visualization for public health surveillance.
  • The system facilitates comprehensive analysis of TB distribution in relation to various risk factors.

Conclusions:

  • The developed webGIS application enhances spatial data utilization for TB surveillance, overcoming previous technical barriers.
  • This tool can significantly aid public health experts in understanding disease patterns and implementing effective control strategies.
  • The application supports evidence-based policy-making to reduce TB morbidity and mortality.