A Google Earth-based database management for schistosomiasis control in Zanzibar

Area of Science:

• Public Health
• Tropical Medicine
• Geographic Information Systems

Background:

• Schistosomiasis is a persistent health challenge in Africa, particularly in Zanzibar.
• Despite extensive research, data management for schistosomiasis control remains inefficient.
• Existing data systems struggle with storage, retrieval, and effective management.

Purpose of the Study:

• To pilot a novel approach for schistosomiasis control management using Google Earth (GE) and a global positioning system (GPS).
• To improve the visualization and management of spatial data related to human infections and intermediate snail hosts.
• To enhance the efficiency of schistosomiasis surveillance and control strategies.

Main Methods:

• Development of a spatial database platform integrating human infection data and intermediate snail host distribution.
• Utilizing Google Earth (GE) in conjunction with a hand-held global positioning system (GPS) for data collection and visualization.
• Creation of three distinct spatial databases: infected humans, snail hosts in ponds, and snail hosts in streams.

Main Results:

• The GE spatial database platform significantly improved the efficiency of follow-up treatments and snail control measures.
• The system facilitated the identification of previously unrecognized areas requiring snail control interventions.
• Visualization of human infection and snail host distribution alongside environmental data proved effective for risk area assessment.

Conclusions:

• The integrated GE and GPS platform offers a cost-effective and user-friendly solution for managing schistosomiasis control data.
• This approach enhances the visualization and management of spatial data, leading to more efficient control strategies.
• The platform's ease of operation and free availability make it a valuable tool for public health initiatives in schistosomiasis-endemic regions.