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Spatial and spatio-temporal analysis for malaria hotspot identification: a scoping review protocol.
Gabriel Michel Monteiro1,2, Roland Christel Sonounameto2,3, Luc Salako Djogbenou4,5
1Faculté des sciences et Techniques, University of Abomey-Calavi, Cotonou, Benin.
This review synthesizes studies on malaria hotspot detection methods. It highlights the need for standardized approaches to effectively target malaria elimination efforts globally.
Area of Science:
- * Epidemiology and Public Health
- * Geographic Information Systems (GIS) and Spatial Analysis
- * Infectious Disease Modeling
Background:
- * Malaria hotspots are key targets for elimination, with spatial technologies enhancing transmission pattern mapping.
- * Diverse analytical approaches exist for malaria hotspot detection, leading to a lack of consensus and comparability.
- * Standardized indicators are needed for effective malaria hotspot analysis and synthesis of research findings.
Purpose of the Study:
- * To identify and summarize publicly available peer-reviewed articles on spatial and spatio-temporal analytical approaches for malaria hotspot detection.
- * To highlight research gaps in the field of malaria hotspot analysis.
- * To provide a foundation for developing standardized methods and indicators.
Main Methods:
- * Scoping review following the Joanna Briggs Institute Framework.
- * Comprehensive search of multiple databases (PubMed, Medline, Web of Science, Scopus, Embase) for articles published between 2000-2024.
- * Inclusion of empirical studies using spatial or spatio-temporal analysis for malaria hotspot detection; exclusion of studies relying solely on visualization.
Main Results:
- * (Anticipated) A synthesis of various spatial and spatio-temporal analytical methods used in malaria hotspot detection.
- * (Anticipated) Identification of common themes, variations, and limitations in current methodologies.
- * (Anticipated) Pinpointing of under-researched areas and methodological gaps.
Conclusions:
- * (Anticipated) A clearer understanding of the current landscape of malaria hotspot detection methodologies.
- * (Anticipated) Recommendations for standardized indicators and analytical approaches to improve malaria control and elimination strategies.
- * (Anticipated) The review will inform future research and public health interventions for malaria hotspot management.
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