2. Why did study authors look @ Gauteng + not the entire SA? 1. SA's #Omicron outbreak started in Gauteng, so there's data 4 a longer period than other provinces 2. They looked @ the 1st 4 weeks of #Omicron + compared it to the same periods for Wave 2 (Beta), Wave 3 (#Delta)
3. From when to when were the 1 month periods of the waves?
- Wave 2 (Beta): 29 Nov-26 Dec 2020
- Wave 3 (#Delta): 2 May-29 May 2021
- Wave 4 (#Omicron): 14 Nov-11 Dec 2021
4. How many reported #COVID19 cases (so how many people tested positive) during the 1st month of each wave in Gauteng?
5. Which % of people who tested + for #COVID19 got admitted to hospital in the different waves?
- Wave 2 (Beta): 18.9% (7,774/41,046)
- Wave 3 (#Delta): 13.7% (4,574/33,423)
- Wave 4 (#Omicron): 4.9% (6,510/133,551)
6. Which % of #COVID19 hospital patients had severe disease?
- Wave 2 (Beta): 60.1% (4,672/7,774)
- Wave 3 (#Delta): 66.9% (3,058/4,574)
- Wave 4 (#Omicron): 28.8% (1,276/4,438) [2,072/ 6,510 patients = a not a documented hospital outcome when the study = submitted]
7. What counts for severe disease?
- Acute respiratory distress
- Oxygen supplementation
- Ventilation
- Intensive care unit admission
- Death
9. Median hospital stay:
- Wave 2 (Beta): 7 days
- Wave 3 (#Delta): 8 days
- Wave 4 (#Omicron): 4 days
10. % of cases (of total admissions) admitted among children + teens below 20 years:
- Wave 2 (Beta): 3.9% (306/7,774)
- Wave 3 (#Delta): 3.5% (161/4,574)
- Wave 4 (#Omicron): 17.7% (1,151/6,510)
11. % of hospitalised patients younger than 20 years with severe disease:
- Wave 2 (Beta): 22.5% (69/306)
- Wave 3 (#Delta): 23.0% (37/161)
- Wave 4 (#Omicron): 20.4% (172/844)
12. What does the data tell us?
Admitted patients in the 1st month of SA's #Omicron (4th) wave were 73% less likely to have severe disease than patients admitted during the 1st month of the Beta and #Delta waves.
13. Great explanation via @ProfAbdoolKarim: 1. #Omicron caused 4x more infections than #Delta in the 1st 4 wks of each GP wave 2. But #Omicron's hospital admission rate = +/- a quarter of #Delta's. So Omicron leads to almost the same nr of Delta admissions but in a shorter time.
14. #Omicron admissions don't strain the health system to same extent as #Delta admissions because Omicron leads to severe disease 73% less often than Delta (after adjustment).
15. NB: The study can't tell u how much of #Omicron's milder disease effect = is due to a less virulent virus, vaccination and/or past immunity (especially vaccination in those with past infection).
@ProfAbdoolKarim = likely all 3 play a role (probs in this order of importance).
16. As any combination of a less virulent virus, co-
morbidities, high immunity from prior infection(s)/vax may be contributors 2 #Omicron's milder disease, this study's results = not necessarily hold true 4 countries with diff co-morbidity profiles, prior infection/vax coverage.
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It’s when health workers try to trace the people 1 infected person could potentially have infected by asking the infected person who they have been in contact with and getting those people to then test or isolate if they test positive.
In short: It’s too expensive for what we get out of it, so we spend a lot of money 4 very little gain (gain = picking up infected people + stopping them from infecting others). We could use the money better on other stuff/diseases.
JUST IN [Thread]: 1. @HealthZA disagrees with the US government's CDC's decision to recommend #mRNA jabs above #JnJ (because of rare side effects) - we'll continue using JnJ 2. The US = abundance of jabs (100 mil + ready for use), so they can afford 2 be choosy.
2. How safe is #JnJ? 1. @MRCza analysed safety data from the #Sisonke study (which uses #JnJ) 2. Serious side effects were rare and occurred in only 129 out of about 500 000 #HealthWorkers in the study
3. What does #Sisonke data tell us about mild #JnJ side effects? 1. The commonest side effects = headache, body aches, pain @ injection site, fever 2. Most side effects = occurred within 48 hours of vaccination
BREAKING [Thread] 1. @SAHPRA1 has approved a 2nd dose of #JnJ and heterologous (mix/match) booster for adults:
1. If u had a JnJ jab, u can get a booster @ least 2 mnths after 1 JnJ shot 2. If u had a #Pfizer jab, u can get a JnJ booster @ least 6 mnths after a 2nd Pfizer jab
2. Does @SAHPRA1's approval mean you can have a #Pfizer booster after a #JnJ shot?
NO. It’s only the other way around (a #JnJ booster after a 2nd #Pfizer shot) that has been approved as a “mix and match” booster.
3. Why does @sahpra1’s “mix and match” approval not allow for a #Pfizer booster after a #JnJ shot?
Pfizer hasn’t submitted data to Sahpra for approval (#JnJ submitted the data 4 a #JnJ booster after #Pfizer).
[Thread] 1. NEW study on how sick (or not) #Omicron makes people in SA
Full study here: bit.ly/3mo2Y2c (preprint)
2. Cheryl Cohen @nicd_sa: 1. #Omicron emerged in SA when:
- 60-70% of people in SA had been previously infected (so they have natural immunity) 2. Early data suggest less severe disease during the Omicron period
3. #Omicron replaced Delta VERY fast in SA - in Gauteng, where SA's Omicron outbreak started, it replaced Delta within 2 weeks (so it spreads fast).
[Thread] 1. Where does #COVID19 test data in SA come from?
Adrian Puren, @nicd_sa: 1. From people with symptoms who get tested 2. From travelers 3. From both the public and private sector
2. All the #COVID19 testing data is then sent to the NICD and assembled in tables.
3. #COVID19 testing data can be found at these websites: