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
[WORKING DRAFT] Curated list of awesome spatial epidemiology data exchange concepts, data reference and tooling
rgee workshop applied to epidemiological studies ⚕️🌎🌍🌏. rgee is an R binding package for calling Google Earth Engine API from within R.
Extract remote sensing metrics for spatial health analysis 🛰️, integrating vector-borne disease data. Easily compute areal and zonal statistics for infectious disease modelling 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 Rates of Acute Malnutrition
Reproducible tract-level analysis of combined diabetes-obesity burden, social vulnerability, USDA income-and-access indicators, and spatial clustering in Greater Houston.
Reproducible analysis of U.S. metabolic disease: state obesity trends, county spatial epidemiology (Moran's I / LISA), and socioeconomic confounders, built on CDC BRFSS, PLACES, and Census ACS.
An automated research tool using LLMs to convert natural language topics into standardized MeSH queries for PubMed.
swash: Health Geography Toolbox for Model-Based Analysis of Infections Panel Data
Enhancing the ability to tell where acute malnutrition is of concern through spatial interpolation
Production-grade spatial epidemiology & public-health GIS automation: disease clustering, healthcare access & privacy-preserving spatial analytics, with validated Python.
activity-spaces: Code, workflows, and examples for incorporating human activity spaces into spatial epidemiology — including GPS logger studies, Earth Observation data, and movement analysis.
Distance-weighted land-cover composition in buffers around point locations, computed from vector polygons. R package for fine-scale spatial epidemiology and exposure assessment.
Enhancing the ability to tell where acute malnutrition is of concern through spatial interpolation
Spatial Epidemiology course designed to equip you with the essential skills for analyzing, visualizing, and interpreting spatial health data using R.
Central hub linking projects in GIS, spatial epidemiology, and public health research.
Field-validated census data and R/SAS code for a spatial sampling frame of private dental facilities in Riyadh (JDR CTR).
Practical, reusable guides for extracting and analyzing Earth observation and climate data (NOAA ISD, ERA5, MODIS/Landsat, QGIS zonal statistics) in public health research.
Reproducibility package for a study quantifying species-specific FMD-attributable economic losses (cattle, water buffalo, sheep, goat) on 286 smallholder farms in Samsun, Türkiye — includes full data, code, and documentation reproducing all tables and figures.
To associate your repository with the spatial-epidemiology topic, visit your repo's landing page and select "manage topics."