TUTORIAL: USING GIS TO TRACK MOSQUITOES
Learn how Geographic Information Systems (GIS) can be used to map, monitor, and analyze mosquito populations and breeding sites for public health and research purposes.
1. Introduction to Mosquito Tracking with GIS
Why track mosquitoes?
Disease control (malaria, dengue, Zika, etc.)
Environmental management
Public health decision-making
How GIS helps:
Mapping mosquito habitats and breeding sites
Analyzing environmental factors (rainfall, temperature, land use)
Visualizing spatial patterns and risks
2. Data Requirements
Base layers:
Administrative boundaries
Land use/land cover
Water bodies
Elevation/DEM (optional)
Mosquito data:
Location of mosquito traps or breeding sites (GPS coordinates)
Mosquito species
Larval counts or adult mosquito density
Date and time of capture
Environmental data:
Rainfall, temperature (can be from satellite sources or weather stations)
3. Tools You’ll Need
GIS Software:
QGIS (Free and Open Source)
ArcGIS (Paid, with more features)
GPS device or mobile app for data collection (e.g., SW Maps, Collector for ArcGIS, ODK, Kobocollect)
Spreadsheet software (e.g., Excel or Google Sheets) for organizing field data
4. Step-by-Step Guide in QGIS
Step 1: Prepare Your Data
Create a CSV file with mosquito trap data:
latitude, longitude, species, count, date, etc.
Download base maps (OpenStreetMap, satellite imagery)
Add shapefiles or GeoTIFFs for elevation and water bodies
Step 2: Load Data into QGIS
Import your CSV using "Add Delimited Text Layer"
Load other vector or raster layers (e.g., land use, water bodies)
Step 3: Style the Layers
Symbolize mosquito counts by size or color
Use graduated colors for environmental layers (e.g., rainfall)
Step 4: Analyze the Data
Heatmap to show mosquito hotspots
Buffer analysis around water bodies to find risk zones
Spatial Join to relate mosquito counts to land use
Step 5: Map Production
Use the Print Layout tool to create and export maps
Add north arrow, scale bar, and legend
5. Advanced Analysis (Optional)
Time series analysis using temporal mosquito data
Predictive modeling with environmental variables
Remote sensing to detect stagnant water using NDWI
6. Applications & Case Studies
Mapping malaria hotspots in sub-Saharan Africa
Urban mosquito surveillance in Latin America
Zika virus risk mapping in Southeast Asia
7. Tips for Field Data Collection
Use consistent GPS formats (WGS 84)
Validate data entry in the field
Label traps clearly with ID numbers
8. Resources & Tools
QGIS Tutorials: https://docs.qgis.org
OpenWeather API for weather data
FAO GeoNetwork and NASA Earthdata for environmental layers
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ReplyDeleteFrom an experienced teacher.