The graphs that I showed were pulled from the CDC website, with information accurate as of this afternoon. https://covid.cdc.gov/covid-data-tracker/#trends_dailytrendscases
. These graphs indicate that although the rate of positive test results occurring in July more than double those occurring in April, the rate of deaths stemming from July cases (taking into account the 2 week lag), was not double that of April's rate, in fact, it was less than half thereof. This phenomenon is explained by >>12242887
, which shows the dramatic impact of the virus back in April, the small resurgence in July, and the relative stagnation since then. In April, tests were only administered upon hospitalization for those experiencing critical respiratory issues, which explains why nearly a quarter of these patients came back with a positive result. When the virus resurged in July, testing had become more accessible, and more symptomatic individuals voluntarily received testing. This explains the rise in % of positive cases for that period, as well as the drop of tests being administered shortly after the spike (since most individuals were still not obligated to be tested). Once September rolled around, many U.S. institutions reopened their doors, while requiring their students/staff to be regularly tested for the virus. Despite the gigantic increase in daily tests since September (as indicated by the graph), the % of positive tests did not subsequently increase by a similar amount (as it did back in July).
The graph ultimately indicates that as more testing is carried out, more asymptomatic individuals receive positive results, in turn boosting the % of positive cases. And while there was a small resurgence of the virus back in July, the same situation isn't reoccurring in October. If it was, the increase of % of positive cases would have reflected the increase in testing, as it did back in July.