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You're right in that when someone creates a VAERS report, every type of post-vaccination medical event is to be included. But you're wrong if you are assuming e
by spfzero 5y ago
You're right in that when someone creates a VAERS report, every type of post-vaccination medical event is to be included. But you're wrong if you are assuming every event gets reported by the patient, to a doctor who then always creates a VAERS report.
Some people don't associate symptoms with the previous vaccination, don't go to the hospital because symptoms recede, etc. Sometimes health care workers are overworked and can't be bothered, or assume someone else reported, etc.
- nerdponx 5y agoCase in point: having a fatigue, fever, chills, sore arm, etc. is so common after any of the "big 3" vaccines that people come to expect it and take sick days from work in anticipation. How many of those cases ever get reported to anyone? I definitely didn't report mine.
- alexvoda 5y agoYou should report it, even if it was mild. Databases like VAERS and EudraVigilence do indeed suffer from both under-reporting (due to patient apathy, and other reasons) and over-reporting (by design, even events with unrelated caused are included). Therefore analysis of such data takes a lot of care, skill, knowledge and effort. There are ways we could actually increase the trust of the public in such databases. By allowing selfreporting but separating reports into validated by a physician and not validated, by default only displaying validated. And grouping reports based on patient so that a selfreported incident and a report made by a physician are not counted twice when referring to the same incident. By allowing patients to verify that a report made on their behalf by an intermediary (physician, national agency for EU) was included into the publicly accessible anonymised dataset. By improving the UI/UX of the publicly available dataset (for EU, the Oracle made interface, while serviceable, is suboptimal). By improving granularity for the age variable. (when investigating the under/over 30 difference in heart issues risk for mRNA vaccines, I found the granularity of EudraVigilence unsatisfactory) By tracking/allowing public access to extra variables. (I found no way to investigate the theory that heart issues caused mRNA were linked to improper administration. A way to filter/categorise based on facility, date and time of vaccine dose would have been helpful) There are options we can pursue, but these being state institutions, improvements take a lot of time. We are not a pull request away from doing better.