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Identifying spatial data availability and spatial data needs for Chagas disease mitigation in South America.
Emily Morris1, Christopher Bone1
1Spatial Computation, Cognition and Complexity Lab, Department of Geography, University of Oregon, Eugene, OR 97403, United States .
This study maps data availability for Chagas disease transmission risk in South America. Findings guide resource allocation for controlling triatomine vectors and mitigating Chagas disease spread.
Area of Science:
- Vector-borne disease epidemiology
- Spatial data analysis
- Public health informatics
Background:
- Chagas disease poses a significant public health threat in South America.
- Effective control strategies require understanding transmission dynamics.
- Data availability is crucial for risk assessment and intervention planning.
Purpose of the Study:
- To assess the availability and spatial resolution of data relevant to Chagas disease transmission in South America.
- To identify key variables used in Chagas disease modeling.
- To create data availability maps for informed public health interventions.
Main Methods:
- Conducted a literature review to identify prominent variables for Chagas disease mitigation models.
- Performed a web search to collect publicly available spatial data for South American countries.
- Classified data by type and spatial extent to map availability.
Main Results:
- Identified key variables utilized in Chagas disease transmission models.
- Generated maps illustrating the availability of relevant spatial data across South America.
- Highlighted data gaps and variations in spatial resolution.
Conclusions:
- The study provides a foundational assessment of data resources for Chagas disease control in South America.
- Maps of data availability can guide governments in prioritizing data collection efforts.
- Informed resource allocation can lead to more effective triatomine vector control and Chagas disease mitigation strategies.
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