Click to enlarge charts and graphs. All my data analysis removes duplicate VAERS_ID. The table directly below uses the 'symptom fields' for the term greps. Various symptoms, fatality, age, gender and other markers have missing or inappropriate fields in some of the data. The missing/inappropriate data is ignored. Code:
Click to enlarge charts and graphs. All my data analysis removes duplicate VAERS_ID. The table directly below uses the 'symptom fields' for the term greps. Various symptoms, fatality, age, gender and other markers have missing or inappropriate fields in some of the data. The missing/inappropriate data is ignored. Code:
Chart Data for cases, deaths, vaccinations from "Our World in Data" Mathieu, E., Ritchie, H., Ortiz-Ospina, E. et al. A global database of COVID-19 vaccinations. Nat Hum Behav (2021) Code for this post here.
The long term data for US Covid-19 daily vaccinations, deaths and cases *is scaled* and plotted below in a seven day rolling average. A table of the R language correlation coefficient (using 'cor' which is scaled 1 to -1) is far below. The table and visual inspection reveal a fairly strong correlation between daily Covid cases and daily Covid deaths. For 2021 only, US Covid daily vaccinations have a correlation coefficient with both cases and deaths close to '0'. This would indicate no correlative relationship between daily vaccinations with either daily cases or daily deaths.
In the second chart, three overlay rectangles represent three distinct and separate temporal relationships between daily vaccinations and daily cases/deaths over the course of the pandemic:
