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Public Health Interventions aGainst Human-to-Human Transmission (PHIGHT) of COVID-19

Case Data by Age


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Ohio Case Data by Age Group Time Series

The graph below shows the total COVID-19 cases and % of daily cases by age in Ohio from March 2020 to July 2021. The y-axis as labeled on the left side of the graph corresponds to the colored columns. Each of these colored columns represents the percentage of new daily cases for a particular age group. Since the percentage of new daily cases for each of these age groups was calaculated using the total number of new daily cases out of the entire population (the denominator), the age groups can be accurately compared between each other. The y-axis on the right side of the graph corresponds to the black line showing the total number of new daily cases out of the entire population (this is the value of the denominator for calculating percentage of new daily cases for each of the age groups). The reported proportion of the B117 variant is shown as the grey line.

United Kingdom Case Data by Age Group Time Series

The graph below shows the total COVID-19 cases and % of daily cases by age in the United Kingdom from January 2020 to February 2021. The y-axis as labeled on the left side of the graph corresponds to the colored columns. Each of these colored columns represents the percentage of new daily cases for a particular age group. Since the percentage of new daily cases for each of these age groups was calaculated using the total number of new daily cases out of the entire population (the denominator), the age groups can be accurately compared between each other. The y-axis on the right side of the graph corresponds to the black line showing the total number of new daily cases out of the entire population (this is the value of the denominator for calculating percentage of new daily cases for each of the age groups). The reported proportion of the B117 variant is shown as the grey line.

The code for these graphs was written by our teammates at Carnegie Mellon University: Dr. Rebecca Nugent, Jiayi (Tracy) Wang, Zongyuan (Ben) Yuan, Xinyu (Melody) Ma and Qingkai (Alvin) Pan


Terms of Use:
We are committed to sharing our data for educational use, however, we ask that you attribute our data and keep in mind that the PHIGHT COVID project, website and its contents herein, including all data, mapping, graphing and analysis are copyright 2020 Lakdawala Laboratory, all rights reserved. When linking to the website, attribute it as "PHIGHT COVID by the Lakdawala Lab at the University of Pittsburgh" at the url: https://phightcovid.org/ .


The data set underlying our maps and graphs, provided on the Lakdawala Lab GitHub (url: https://github.com/Lakdawala-Lab/PHIGHT_COVID_Sources)
is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. Copyright Lakdawala Laboratory 2020. Attribute the data to "PHIGHT COVID by the Lakdawala Lab at the University of Pittsburgh" and the url: https://github.com/Lakdawala-Lab/PHIGHT_COVID_Sources.

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