R package for accessing and analyzing CDC NHANES data

Unpivoted and cleaned data sets on the COVID-19 pandemic

R interface to the CDC National Public Health Tracking Network API

A FHIR client allowing public health agencies to query health care organizations directly or via a TEFCA QHIN

This is an R package to help users to easily reproduce charts that are displayed on Office for Health Improvement and Disparities’ Fingertips data tool. Along with the fingertipsR package, this package can be used to help users bring the data on the website into their own outputs.

Curso Intermediário de R para análise de situação de saúde

Explore transit and public health data across Chicago.

Estimated Covid-19 case and death counts as reported by the New York Times by County for the top Zip Codes within the US

The Monorepo for all things Toronto Beaches

This page compiles zipcode level COVID-19 cases and deaths from disparate U.S. state and local governments to facilitate analysis of COVID-19 and link to zipcode level demographic and other data.

A DHIS2 package that can be used by any team working on hypertension and/or diabetes control projects. The package consists of a DHIS2 Tracker program to manage individual patients and a DHIS2 Dashboard to monitor program outcomes.

Visualize the rise of COVID-19 cases globally with ggplot2 package of R.

Curso de nível intermediário aplicando o R e o RStudio ao cotidiano da Vigilância em Saúde para análise de dados temporais.

R Shiny App for COVID Surveillance and Metrics

Shiny App: Project CovFlu - A Comparative Exploration of Covid-19 and Influenza Demographics in the U.S.

Is a women’s health promotion, information and consumer advisory service. We are a non-government organisation that works with health professionals, policy makers and other not for profit organisations to influence and inform government policy and service delivery for women

Global Monkeypox Tracker using R Shiny

Creating links.

I choose to affect the world on every given day, not to be affected by its challenges, but rather to recognize its complexity and solve difficult problems by bringing diverse players together.

This repository is for hobby analysis of public health data, currently using data from OnGov and ICES Ontario