😷 R package to Retrieve U.S. Flu Season Data from the CDC FluView Portal (WHO & ILINet)
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Updated
Aug 27, 2023 - R
😷 R package to Retrieve U.S. Flu Season Data from the CDC FluView Portal (WHO & ILINet)
A Signature R package for the National Syndromic Surveillance Program (NSSP) at the Centers for Disease Control and Prevention (CDC). A collection of tools, classes and functions that supports the Community of Practice of the NSSP.
This repository should help people that would like to code in R and work with the National Health and Nutrition Examination Survey (NHANES). Some topics corved are SQL , logistic regression.... etc
R interface to the CDC National Public Health Tracking Network API
Rnssp R Markdown templates are custom-built, parameterized R Markdown templates with seamless integration to the Rnssp R package to enhance user experiences and streamline workflows.
Provides tools for calculating a Social Vulnerability or Adaptive Capacity Index in R using the US Census API and Tidycensus. Creates an interactive leaflet web map, CSV and ESRI Shapefile.
Rnssp Shiny Apps are custom-built applications with seamless integration to the Rnssp R package.
Use regression tree to predict firearm death rate with firearm law & CDC firearm death rate data.
An R package for the analysis of CDC Vital Statistics birth records
Query the 'CMU' 'DELPHI' Epidemiological Data 'API' (package wrapper https://github.com/cmu-delphi/delphi-epidata/blob/master/src/client/delphi_epidata.R)
Cancer epidemiology for Arizona.
Analysis of Growth Data
Code for Gwyn, S., Awoussi, M.S., Bakhtiari, A. et al. Comparison of platforms for testing antibodies to Chlamydia trachomatis antigens in the Democratic Republic of the Congo and Togo. Sci Rep 11, 7225 (2021). https://doi.org/10.1038/s41598-021-86639-8
Based upon CDC data provided by the USA government, this study explores the relative risk of dying with Covid in 2021 as compared to 2020.
A small Shiny application designed specifically for the estimation of Knock-Down Time based on aggregated WHO or CDC bottle Bioassay data.
Based on the CDC study: DOI: http://dx.doi.org/10.15585/mmwr.mm7104e1. A more detailed look at the Natural Immunity — Unvaccinated Cohort ( #3 ) versus the “Fully Vaccinated” Cohorts ( #1 & #2 ).
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