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Katherine Schlosser<br />

Evaluation <strong>of</strong> Geographic Information Systems as an aid to Caribbean Basin Schistosomiasis Elimination<br />

Katherine Schlosser and Charles H. King<br />

Center for Global Health and Disease<br />

<strong>Case</strong> <strong>Western</strong> <strong>Reserve</strong> <strong>University</strong>, <strong>School</strong> <strong>of</strong> Medicine<br />

In light <strong>of</strong> recent evidence quantifying the disability associated with schistosomiasis, the World Health Organization<br />

has recently shifted its recommendations for the disease away from control and towards elimination. The purpose<br />

<strong>of</strong> this project was tw<strong>of</strong>old; part one assessed the availability <strong>of</strong> geographic information systems (GIS) data to<br />

support schistosomiasis elimination in the Caribbean basin. These data were collected and compiled into maps,<br />

which were provided to PAHO as a starting point for additional mapping efforts. Part two was a pilot study<br />

evaluating the self-collection <strong>of</strong> GPS data for use with schistosomiasis elimination campaigns. Mapping efforts were<br />

focused on Antigua and Barbuda, the Dominican Republic, Guadeloupe, Martinique, Montserrat, Puerto Rico, and<br />

Saint Lucia. Data were compiled by searching the Internet for free GIS data sources. Information was collected and<br />

recorded for layers including elevation, hydrography, roads, political boundaries, land use, cities, and hospitals.<br />

Acquired data were compiled in ArcMap by country. These data were made available as PDF maps with the<br />

associated shapefiles. Part two <strong>of</strong> this project was completed in St. Lucia from June 2, 2008 through June 13,<br />

2008. Data were collected using a Garmin eTrex Legend set to WGS84 collecting in degrees, minutes, and seconds.<br />

GPS locations were recorded for six hospitals, twenty-five health centers, and tracks were recorded for roads<br />

around the island. The main finding for the online data compilation is that high quality Caribbean data are not<br />

readily available in the public domain. The results <strong>of</strong> the pilot study were promising. These data collected in St.<br />

Lucia were more accurate and detailed than that publicly available. Smaller roads were captured by the selfcollection<br />

and importantly, roads to health centers and hospitals were identified. These data are detailed enough to<br />

use to return to these sites. GIS may represent a useful tool to aid in schistosomiasis elimination. Missing<br />

information that would be most helpful to collect would include the accurate location <strong>of</strong> cities, towns, hospitals,<br />

schools, and potential sites <strong>of</strong> transmission.<br />

Supported by NIH T35 Training Grant R25TW07735 ―Framework Programs in Global Health‖ WHO Collaborating<br />

Center for Basic and Applied Research on Schistosomiasis at CWRU<br />

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