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

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

Software for the Tree-Based Scan Statistic

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

CLI Browser for the WHO Disease Outbreak News feed

Optimal Testing Pool Size Calculator - For pool testing of infectious diseases including COVID-19

Accompanies the manuscript "Spatial aggregation choice in the era of digital and administrative surveillance data"

Investigating the efficacy of diagnostic kits used for parasitic disease surveillance in the Philippines.

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."

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.

Covid-19 worldview project with Open Disease Data API and Next.js

Locate Clinical Trials on the Map based on Conditions and/or Locations