Spatiotemporal Analysis
Cross-source consensus on Spatiotemporal Analysis from 1 sources and 4 claims.
1 sources · 4 claims
Uses
How it works
Preparation
Highlighted claims
- Moran's I and Getis-Ord Gi* statistics are used to identify malaria transmission clusters and hotspots. — Multicentric longitudinal study on malaria burden, vector bionomics and health system assessment in diverse eco-epidemiological settings in the context of malaria elimination in India: study protocol
- Land use and land cover data on vegetation, water bodies, urbanisation, and agriculture are drawn from publicly available Landsat and Sentinel satellite datasets and processed with ArcGIS and QGIS. — Multicentric longitudinal study on malaria burden, vector bionomics and health system assessment in diverse eco-epidemiological settings in the context of malaria elimination in India: study protocol
- Entomological data are georeferenced and integrated with spatial layers including climate and land-use data. — Multicentric longitudinal study on malaria burden, vector bionomics and health system assessment in diverse eco-epidemiological settings in the context of malaria elimination in India: study protocol
- The spatiotemporal analysis integrates both retrospective data from government health and meteorological archives and prospective monthly climatic measurements from local stations and satellite remote sensing. — Multicentric longitudinal study on malaria burden, vector bionomics and health system assessment in diverse eco-epidemiological settings in the context of malaria elimination in India: study protocol