GIS and Remote Sensing Disease Surveillance Monitoring Course

Introduction

The rise of infectious diseases, pandemics, and health disparities has highlighted the urgent need for advanced tools to monitor, track, and respond to disease outbreaks effectively. The GIS Disease Surveillance and Monitoring Course is designed to equip participants with the skills to use Geographic Information Systems (GIS) and geospatial technologies for understanding disease dynamics, supporting real-time surveillance, and enhancing public health interventions.

Participants will explore how GIS supports the collection, integration, and spatial analysis of health-related data to identify disease hotspots, track transmission pathways, and visualize patterns of morbidity and mortality. Through hands-on sessions, learners will apply GIS techniques to conduct spatial epidemiological investigations, assess risk factors, map vulnerable populations, and improve targeting of health resources and services.

The course introduces a variety of tools and methodologies, including mobile data collection for health field surveys, remote sensing applications in environmental health, and the use of open-source GIS software like QGIS. Participants will also explore how to design interactive dashboards, produce thematic maps for reporting, and integrate GIS into health information systems to strengthen evidence-based decision-making.

By the end of the course, participants will have developed the ability to manage and analyze spatial health data, contribute to early warning systems for outbreaks, and apply GIS to real-world scenarios in disease surveillance and control. This course is ideal for public health professionals, epidemiologists, healthcare planners, and researchers seeking to enhance their technical capacity in spatial analysis for health monitoring and response.

Duration

10 days

Who Should Attend?

This course is suitable to:

·       Public health officers and epidemiologists involved in disease tracking, surveillance, and control

·       Health information system (HIS) specialists responsible for managing and analyzing health data

·       Healthcare planners and program managers working in disease prevention and response programs

·       Researchers and academics focused on spatial epidemiology and environmental health studies

·       NGO and humanitarian health staff supporting disease monitoring in low-resource or crisis settings

·       Monitoring and Evaluation (M&E) professionals in the health sector

·       Data analysts and GIS officers in ministries of health, research institutions, or international health agencies

·       Environmental health professionals addressing vector-borne or climate-related health risks

Course Objectives

By the end of the course, the participant should be able to:

·       Understand the fundamental concepts of GIS and spatial epidemiology and how they apply to disease surveillance and public health monitoring.

·       Collect, manage, and analyze spatial health data using tools such as QGIS, GPS, mobile data collection platforms (e.g., ODK, KoBoToolbox), and other open-source technologies.

·       Visualize disease occurrence and transmission patterns through the creation of thematic maps, heatmaps, and hotspot analyses for both communicable and non-communicable diseases.

·       Apply spatial analysis techniques to identify at-risk populations, model disease spread, and assess environmental and socio-economic risk factors.

·       Integrate GIS with public health information systems (HIS) for enhanced surveillance, real-time monitoring, and reporting.

·       Use remote sensing data to monitor environmental determinants of health, such as land use, climate, and water sources, that influence disease transmission.

·       Develop and implement interactive GIS dashboards and visual reports to support early warning systems, outbreak alerts, and evidence-based decision-making.

·       Design and evaluate community-based surveillance systems using participatory GIS and mobile tools to support local health monitoring efforts.

·       Interpret spatial health data accurately and communicate findings effectively to diverse stakeholders, including health officials, community leaders, and policymakers.

·       Apply GIS tools in real-world case studies and scenarios, including disease outbreak investigation, health resource planning, and emergency response.

Course outline

Module 1: Introduction to GIS and Public Health Surveillance

• Overview of GIS and its role in disease surveillance
• Concepts in spatial epidemiology and spatial data types
• The importance of location data in disease mapping and monitoring
• Understanding spatial patterns of disease: clusters, dispersion, and diffusion
• Overview of GIS software and tools (e.g., QGIS, Google Earth, KoBoToolbox)

Module 2: Spatial Data Types, Sources, and Health Applications

• Vector vs. raster data in a public health context
• Data formats (Shapefile, GeoJSON, CSV, KML, raster imagery)
• Sources of health-related spatial data (WHO, DHS, OSM, ministries of health)
• Importing and managing datasets in QGIS
• Data quality, accuracy, metadata, and ethical considerations

Module 3: Mobile Data Collection for Health Surveillance

• Designing health field data collection forms using ODK or KoBoToolbox
• Setting up mobile surveys for disease tracking and health facility assessments
• Collecting GPS-tagged health data in the field
• Syncing and cleaning field data
• Exporting mobile data into QGIS for spatial analysis

Module 4: Disease Mapping and Visualization Techniques

• Creating thematic maps (e.g., disease incidence, mortality, case density)
• Symbolizing point data (e.g., clinics, cases) and polygons (e.g., administrative units)
• Using graduated colors and symbols for health indicators
• Creating heatmaps and hotspot analysis for disease outbreaks
• Developing and exporting static maps for reports and presentations

Module 5: Spatial Analysis for Disease Surveillance

• Point-in-polygon analysis (e.g., cases within districts or risk zones)
• Buffering and proximity analysis (e.g., distance to health facilities)
• Overlay analysis for environmental and socio-economic factors
• Kernel density estimation and cluster detection (e.g., SaTScan basics)
• Identifying and interpreting spatial patterns and trends in disease data

Module 6: Remote Sensing Applications in Health and Disease Monitoring

• Introduction to remote sensing in public health
• Downloading and using satellite imagery (e.g., Landsat, Sentinel)
• Using NDVI and land use data to study vector-borne diseases
• Detecting environmental risk factors (e.g., standing water, deforestation)
• Case studies: malaria, cholera, air pollution-related illness

Module 7: Integration with Health Information Systems and Early Warning Tools

• Linking GIS with public health systems (DHIS2, Excel-based HMIS)
• Creating early warning indicators and spatial thresholds
• GIS dashboards and real-time visualization (intro to Power BI, QGIS plugins)
• Alert systems and scenario mapping for outbreak preparedness
• Example: GIS in COVID-19 tracking and reporting

Module 8: Participatory GIS and Community-Based Surveillance

• Community-based disease monitoring approaches
• Using participatory mapping for risk communication and response planning
• Mapping vulnerable populations and health needs
• Integrating local knowledge with spatial data
• Tools: Google Earth, web-mapping apps, paper-to-digital conversion

Module 9: Data Ethics, Privacy, and Security in Health GIS

• Principles of ethical health data collection and sharing
• Informed consent and data anonymization
• Legal frameworks for geospatial health data management
• Risk communication and responsible visualization

 Training Approach

This course will be delivered by our skilled trainers who have vast knowledge and experience as expert professionals in the fields. The course is taught in English and through a mix of theory, practical activities, group discussion and case studies. Course manuals and additional training materials will be provided to the participants upon completion of the training.

Tailor-Made Course

This course can also be tailor-made to meet organization requirement. For further inquiries, please contact us on: Email: training@upskilldevelopment.com Tel: +254 721 331 808

Training Venue

The training will be held at our Upskill Training Centre. We also offer training for a group at requested location all over the world. The course fee covers the course tuition, training materials, two break refreshments, and buffet lunch.

Visa application, travel expenses, airport transfers, dinners, accommodation, insurance, and other personal expenses are catered by the participant

Certification

Participants will be issued with Upskill certificate upon completion of this course.

Airport Pickup and Accommodation

Airport pickup and accommodation is arranged upon request. For booking contact our Training Coordinator through Email: training@upskilldevelopment.com, +254 721 331 808

Terms of Payment

Unless otherwise agreed between the two parties payment of the course fee should be done 3 working days before commencement of the training so as to enable us to prepare better