A very interesting yet a bit complicated paper. First, let’s go through the key findings of the paper:
1) the distribution of viral loads observed in asymptomatic population was indistinguishable from what has been reported in hospitalized populations 1/
2) regardless of symptomatic status, approx. 50% of individuals who test positive for #SARSCoV2 seem to be in noninfectious phases of the infection 2/ pnas.org/content/118/21…
3) just 2% of infected individuals carry 90% of the virions circulating within communities, serving as viral “supercarriers” & likely also superspreaders 3/
Now some explanations: This study is NOT suggesting that 2% of people cause 90% of transmission.
Rather that most infected ppl pass through peak viral load and in doing, contribute to that 2% for 1-2 days 4/
The paper suggests that symptoms do not determine viral load and thus transmissibility. Only Virus load does - regardless of symptoms. 5/
By @michaelmina_lab:
Most infected people likely pass thru “super carrier” state. People achieve same virus load regardless of symptoms. Most symptoms due to immune responses, not virus. Can be inverse relationship:stronger immune response, more symptoms but lower viral load 6/
Further explanation by @michaelmina_lab:
“When ppl become infected the viral load increases a billion-fold. But only stays at such a HIGH load for a short duration (hours - 2days). if someone goes into a bar during those hours...”. 7/
“.....on the other hand, if that very same person goes into that very same bar with the very same people in it, but 3 days later, the viral load may be reduced a million-fold (literally)& no longer a superspreader. Infection status is all probability & time” 8/
So, the title of the paper seems a bit misleading. What the study indeed reveals that at any given “snapshot of time”, 90% of the virus is carried by 2% infected. Everyone goes through that peak! 9/
• • •
Missing some Tweet in this thread? You can try to
force a refresh
The WHO declared a coronavirus variant first identified in India, B.1.617, as a “variant of concern,” the agency’s fourth such designation wsj.com/articles/coron…
One can understand the gravity of this announcement: The Indian variant, #B1717 is now clubbed with UK #B117, SA #B1351 & Brazil’s #P1
I think this data is saying "Take B.1.617 very seriously and surge test, contact trace, support isolation of cases & contacts, ring vaccinate - NOW" @chrischirp Look, experts from UK are sounding alert on a variant originated from here! And what was our response?
Is there any role of large-scale vaccination in containing the ongoing surge in #India? The current estimate of herd immunity threshold is around 60%-70% based on the estimate with old variant #D614G. 1/
With the advent of new, more transmissible #variants, the estimate for a herd immunity threshold may further go up. The pace of inoculation is very sluggish, inoculated a meagre 2.0 % of our population with 2 doses! May take few years to reach anywhere near the threshold 2/
We are currently on the ascending limb of an outbreak propelled by a highly transmissible virus with a high reproduction number (Ro). Further, there is confusion over what it means to reach herd immunity 3/
Have we reached to the peak of 2nd #Covid wave in India? May be, yes! Its already 2.5 months in to it. Most badly affected countries peaked within 1.5-3 months of onset of a new surge. Is it too early to comment? 1/
More interesting would be to see which way our curve goes: the UK/Israel or the US way! While both UK/Israel took 1.5-2 months to flatten their curves w/ strict lockdowns & aggressive vaccination, US had a long plateau (>3.5 months) 2/
However, there is heterogeneity in caseloads: While states like MH, UP, CG, PB, DL are showing ⬇️ in case load, some southern & eastern states (KA, KL, AP, TN, WB, ) still reporting cases in high numbers! What is driving Covid in these states? 3/ indiatoday.in/coronavirus-ou…