EpiTator annotates epidemiological information in text documents. It is the natural language processing framework that powers GRITS and EIDR Connect.
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Updated
Jun 21, 2022 - Python
EpiTator annotates epidemiological information in text documents. It is the natural language processing framework that powers GRITS and EIDR Connect.
Algorithm to predict repeated positive results for West Nile Virus for mosquitoes captured in traps across Chicago.
Series of image recognition algorithms that can diagnose diseases by analysing a picture of the iris of the person
Webapp for disease surveillance in resource limited environments
Software for the Tree-Based Scan Statistic
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
Amphibian Disease Tracker Portal
Detecção de COVID-19 a partir de imagens de raios X de tórax utilizando uma Deep Convolutional Neural Network otimizada.
R package for OpenCPU backend to detect and visualize spatio-temporal disease clusters from the web
A COVID-19 Tracker App with Active Cases, Daily Cases, Recovered Cases, Deaths all sorted by Country
Software for the spatial, temporal, and space-time scan statistics
Optimal Testing Pool Size Calculator - For pool testing of infectious diseases including COVID-19
Investigating the efficacy of diagnostic kits used for parasitic disease surveillance in the Philippines.
CLI Browser for the WHO Disease Outbreak News feed
This repository contains a project for processing Brazilian epidemiological data extracted from DATASUS. Its main goal is to prepare and structure the data for use in the HDI Disease Tracker API.
Machine learning project to classify California zip-codes into outbreak risk categories for Covid-19 based on observations at the end of the year 2020.
Provide a "Disease Surveillance" Case Management and Reporting database.
Companion for the 2024 manuscript in Spatial and Spatio-temporal Epidemiology entitled "Multiple 'spaces': using wildlife surveillance, climatic variables, and spatial statistics to identify and map a climatic niche for endemic plague in California, U.S.A."
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