spatialEpisim: Spatial Tracking of Infectious Disease Epidemics using Mathematical Models
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Updated
Oct 10, 2024 - R
spatialEpisim: Spatial Tracking of Infectious Disease Epidemics using Mathematical Models
rgee workshop applied to epidemiological studies ⚕️🌎🌍🌏. rgee is an R binding package for calling Google Earth Engine API from within R.
[WORKING DRAFT] Curated list of awesome spatial epidemiology data exchange concepts, data reference and tooling
Extract remote sensing metrics for spatial health analysis 🛰️, integrating vector-borne disease data. Easily compute areal and zonal statistics for infectious disease modeling in spatial epidemiology 🦠🏥
A spatial epidemiological study on determining the province-level spatial heterogeneity and dependence of HIV incidence rate in China, 2018 and explored the association between HIV incidence rate and spatial variety of education level and healthcare resources by using the spatial algorithms and analysis tools on disease mapping.
Detect Spatial Clusters of High Acute Malnutrition Rates
Practical, reusable guides for extracting and analyzing Earth observation and climate data (NOAA ISD, ERA5, MODIS/Landsat, QGIS zonal statistics) in public health research.
Enhancing the ability to tell where acute malnutrition is of concern through spatial interpolation
activity-spaces: Code, workflows, and examples for incorporating human activity spaces into spatial epidemiology — including GPS logger studies, Earth Observation data, and movement analysis.
Spatial Epidemiology course designed to equip you with the essential skills for analyzing, visualizing, and interpreting spatial health data using R.
Enhancing the ability to tell where acute malnutrition is of concern through spatial interpolation
Central hub linking projects in GIS, spatial epidemiology, and public health research.
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