Topical on China's Mycoplasma epidemic (possibly America too)
https://www.nature.com/articles/d41586-023-03732-w
https://www.nature.com/articles/d41586-023-03732-w
Senator Ron Johnson is taking quite a bit of flack over his remarks on mouthwash and SARS-CoV-2 prohibition. It is worth noting that Japan (which has a very low Covid19 death rate[1]) has a long history of gargling povidone iodine (PVP-I) to prevent respiratory infections[2]. Some American physicians are also suggesting gargling could be helpful [3] especially for school children. Molecular iodine and other anti-septic mouthwashes are in use as SARS-COV-2 prohibition in dental practices across the US [4]. 'Disrupting SARS-CoV-2 transmission' with mouthwash has been and is being actively studied at Dental schools and other research institutions across the US.[5]
These are some select stories from the first month of Pediatric vaccinations in the US. There is a select group of syncope (fainting or 'loss of consciousness') in the little ones.
PRO TIP: Stay right by your kid before and after the vax. Vaccinate one kid at a time if possible. If they faint, don't let them fall and hit their head on the floor. Because then you have the child head injury on top of the child vaccine injury. The HCW who are administering the pediatric injections are having some trouble confusing adult with pediatric dosing. Many kids are getting adult doses and adult saline preparation doses, among other administration errors. This doesn't seem to result in too much (immediate) injury. I guess. Maybe.
Full spreadsheet here and code here and here. *Read the code first* if you don't understand my output or what I have done. All the paragraphs immediately below are separate AE ('Adverse Event') reports.
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: