Unpivoted and cleaned data sets on the COVID-19 pandemic
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Updated
Jun 9, 2023 - Jupyter Notebook
Unpivoted and cleaned data sets on the COVID-19 pandemic
R package for accessing and analyzing CDC NHANES data
R interface to the CDC National Public Health Tracking Network API
Curso Intermediário de R para análise de situação de saúde
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.
Explore transit and public health data across Chicago.
Visualize the rise of COVID-19 cases globally with ggplot2 package of R.
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.
R Shiny App for COVID Surveillance and Metrics
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
Shiny App: Project CovFlu - A Comparative Exploration of Covid-19 and Influenza Demographics in the U.S.
Global Monkeypox Tracker using R Shiny
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.
The Sci-GaIA E-Research Hackfest in Addis Ababa
This study examines mortality patterns in Tennessee counties from 2019 to 2021 to identify factors influencing variations in mortality rates. Insights from this analysis can inform targeted interventions and healthcare resource allocation.
Biorepository application for tracking biospecimens.
Curso de nível intermediário aplicando o R e o RStudio ao cotidiano da Vigilância em Saúde para análise de dados temporais.
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