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new/Norm_Fenton.md

@@ -51,10 +51,10 @@
 #### Definitions
 - Case => Positive PCR test, dies of reasons other than Covid => Covid hospitalization and Covid death
 - All metrics driven by Covid Case
-  - - How many asymptomatic?
-  - - How many hospitalized for non-COVID?
-  - - How many infected at institution?
-  - - How many deaths with infection vs from infection?
+  - How many asymptomatic?
+  - How many hospitalized for non-COVID?
+  - How many infected at institution?
+  - How many deaths with infection vs from infection?
 
 #### PCR Positive
 Cases include:
@@ -90,9 +90,9 @@ Confirmation test was only PCR, reducing accuracy
 #### Lack of confirmatory testing
 - PCR obvious problems
 - What's less well known is that the biggest cause of differences in reporting PCR false positive probabilities is whether the probability assumes a confirmatory test is being carried out:
-  - - If the false probability for a single PCR test is 0.5%
-  - - All positives require a second test before announcing confirmation
-  - - If independent test, probability both are false positive: 0.005 * 0.005 = 0.000025 = 0.0025%
+  - If the false probability for a single PCR test is 0.5%
+  - All positives require a second test before announcing confirmation
+  - If independent test, probability both are false positive: 0.005 * 0.005 = 0.000025 = 0.0025%
 
 If few people are being tested and you have luxury of confirmatory testing, you will almost see no false positives.
 Confirmatory testing is almost never done
@@ -106,8 +106,8 @@ Most positive PCR test results really are false positives
 #### Impacts
 - 41% of those testing positive never develop symptoms
 - Jan 2020 - Dec 2021:
-  - - 4.7% didn't have major underlying comorbidity
-  - - Most of these not hospitalized because of COVID
+  - 4.7% didn't have major underlying comorbidity
+  - Most of these not hospitalized because of COVID
 - Post surgical units showing up to 68% COVID hospitalizations acquired infection post-admission
 
 #### Children (< 18)