🧵1. Is SA in a 5th #COVID19 wave? @ProfAbdoolKarim: It’s too early to tell. We don’t have reliable data 2 compare infections of the last 7 days with the previous 7 days. Why? SA = 2 holidays in the past week, so testing nrs = down + can’t reliably be compared 2 the previous wk.
2. Why do we need to compare data of the last 7 days with the previous 7 days?
- For a 5th wave the 7-day moving average would have doubled every 2-3 days (so we would have had 10,000+ cases by now)
- But we’ve seen only a 52% increase: from 3,097 (April 24) to 4,693 (May 1)
3. Does the lower-than-expected increase for a new wave mean we’re not in a 5th #COVID19 wave?
Not necessarily — it could just be that testing numbers are down because of the 2 public holidays in the past week (far fewer people go to test on public holidays).
4. But increases in #COVID19 cases slowed down this past week - in all provinces - and are not following a rocket-like upward trajectory like we’d expect in a 5th wave.
5. What is driving the uptick in #COVID19 infections? Two new forms of #Omicron, BA.4 and BA.5. So are BA.4/5 capable of driving a 5th wave? @sigallab, who grew BA.4/5 in his lab, says yes: bit.ly/39zH0Gb
6. Can BA.4/5 outsmart antibodies we get from vax, infection with BA.1 (original form of #Omicron) or both? To some extent, but not entirely. The extent that these subvariants can do this depends on your vax status. How? (next tweet) @sigallab's preprint: bit.ly/3w3V825
7. @sigallab grew BA 4+5 and then tested the serum of
- unvaccinated people infected with BA.1
- vaccinated people (#Pfizer or #JnJ) who got infected with BA.1 (this is called breakthrough infections)
to see if BA.1 immunity neutralised BA.4/5 viruses.
8. @sigallab found:
- Unvaccinated people (previously infected with BA.1): 7.6-fold (BA.4) and 7.5-fold (BA.5) drop
- Vaccinated people (previously with BA.1): 3.2-fold (BA.4) and 2.6-fold (BA.5) drop
9. What does the above data tell us?
Vaccinated people previously infected with BA.1 who were exposed to BA.4/5 had neutralisation levels 5-fold higher than unvaccinated people previously infected with BA.1.
10. @ProfAbdoolKarim says we're therefore likely to see more unvaccinated people with previous BA.1 infection than vaccinated people with breakthrough BA.1 infections to get re-infected with BA.4/5 (e.g kids below 12 who don't yet qualify for vaccination).
11. Will we see a 5th wave caused by BA.5/4. @ProfAbdoolKarim: It’s too early to tell, but indications = a short-lived uptick = more likely than a wave. But we 1st need #COVID case data from a holiday-free week, so we need 2 wait 4 one more week for a clear-cut answer.
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🧵1. It's been 2 years of mostly only #COVID19 reporting. What has the pandemic taught me about journalism?
Lesson 1: Accurate information is pretty useless if people don't understand it. Explanatory journalism should be specialist field: bit.ly/36xvxWm
Lesson 2: Pandemics like #COVID19 make things happen faster. But to speed things up you need more hands and skills — you're going to get nowhere on your own.
The power lies in journalism oranisations sharing skills and resources. So learn to work together, or miss the bus.
Lesson 3: FOCUS + be strategic. If you try to cover everything during a pandemic, you'll end up covering nothing. Do the stuff you're best at + leave the rest to others.
🧵1. What will a potential next #COVID19 variant of concern look like? @ProfAbdoolKarim:
We dunno but it's unlikely 2 look like #Omicron, Beta/Delta, unless it arrives only when immunity from Omicron infection = waned
Why? Omicron infection = good immunity @ itself, Beta, Delta
2. Since #Omicron = spreading so fast + widely vs. past variants of concern, there are many vaxxed people who became infected with omicron and now have good immunity 2 all existing variants of concern. Similar immunity = evident in unvaxxed people with past Omicron infection.
3. Since infection with #Omicron creates such good immunity 2 existing variants of concern it'll be difficult 4 Beta/Delta 2 come back + cause a new wave. The next wave has 2 be caused by a variant with little similarity 2 Omicron/will need 2 arrive when Omicron immunity = waned
1. @ProfAbdoolKarim says likely, but we don’t know if it'll be big or small. What we do know, is that we will almost certainly see a new variant. Each wave in SA has been driven by a new variant.
So what will a new variant look like? (next tweet)
2. What will a new variant look like (let’s call it Pi)?
We dunno.
But for Pi to become the dominant variant it will have to be more transmissible than #Omicron, or it won’t be able to replace/out-compete it (if they were athletes, Pi would need to run faster than Omicron).
3. Even if Pi (potential new variant) can outsmart our immune systems to some extent, it will likely still need to be more transmissible than #Omicron in order to overtake it.
Globally:
- Europe's had a relatively big 4th #Omicron wave, which seems to have stabilised
- Western Pacific countries (Hong Kong, China, Singapore) have seen huge increases in #COVID infections
2. Which variants caused a spike in infections in Western Pacific countries?
🧵1. It's @SAHPRA1's job to ensure only meds that are safe/effective are used in SA. What does that mean?
Mark Blockman, Sahpra:
It means Sahpra looks out 4 common side effects + more rare adverse effects that the manufacturer reported + new ones that emerge after registration
2. How does @SAHPRA1 review meds? 1. They look at data submitted by drug companies 2. They look at data published in studies about the meds 3. They look at decisions of other credible regulators
3. As part of @SAHPRA1's approval process of meds, e.g. #COVID19 jabs, they ask manufacturers 2 submit risk management plans that explain how they will maintain the safety of their product. E.g., they have to submit regular reports on side effects in case new ones emerge.
- #Pfizer: 39,272,220 (this includes US donations and jabs we got via #Covax)
- #JnJ: 21,333,840 (we also got 500,000 for #Sisonke1 + 250,00 for #Sisonke2)
3. How many of the jabs #VaccineRolloutSA has received has been distributed? (Distributed = they've been transported to provinces. All distributed shots have not necessarily been used yet.)
-#Pfizer: 66% of received jabs = distributed
-#JnJ: 42% of received jabs = distributed