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Source: COVID-19 Warnings  Jul 22, 2020  3 years, 8 months, 3 weeks, 3 days, 21 hours, 58 minutes ago

COVID-19 Warnings: Researchers Warn That Asymptomatic Spread Could Make The COVID-19 Pandemic Longer And Worse

COVID-19 Warnings: Researchers Warn That Asymptomatic Spread Could Make The COVID-19 Pandemic Longer And Worse
Source: COVID-19 Warnings  Jul 22, 2020  3 years, 8 months, 3 weeks, 3 days, 21 hours, 58 minutes ago
COVID-19 Warnings: Researchers from Princeton University-USA, Georgia Institute of Technology-USA and McMaster University-Canada based on a new statistical study are warning that asymptomatic spread of the COVID-19 disease is likely to extend the duration of the COVID-19 pandemic coupled with more worsening effects.

The research findings were published in the journal: Epidemics.!
Already other researchers not involved in this study are now saying that the COVID-pandemic will most probably last for about 5 to 6 years with progressing severity and that even with the advent of so called effective vaccines, the protection offered by those vaccines will be short lasting most probably 6 to 10 weeks and worst there will most probably be complications such as Antibody-Dependent Enhancement (ADE) which coronaviruses are famous for.
Dr Joshua Weitz, a Georgia Institute of Technology professor and the study's co-principal investigator told Thailand Medical News, "For the bulk of possible scenarios that can exist, asymptomatic transmission matters in the spread of COVID-19. You have to make very extreme assumptions about the spread for asymptomatic transmission to be unimportant. How strongly does asymptomatic spread contribute to the COVID-19 pandemic's curve? The new study addressed the question with mathematical modeling and concluded that this depends on how asymptomatic spread affects what is called the generation interval for new infections.”
Essentially, the generation interval is how long it takes for a person infected today to infect the next person.
By knowing where these intervals fall, allows researchers to calculate a more accurate value for R0 (R naught), a number that indicates the pandemic's inherent strength of contagion in the absence of measures like distancing or masks to push it down. R0 is used to project how long the pandemic can last, how high the infection curve can go, and how many people in total could get sick and die.
However unlike highly visible data such as new cases per day, hospitalizations, or death toll, asymptomatic spread moves in the shadows because those cases very often remain unrecorded. Documenting them would take large-scale virus and antibody testing and meticulous contact tracing.
Hence that makes it challenging to accurately measure the real-time impact of asymptomatic spread. In light of this, the researchers calculated how a broad range of asymptomatic spread scenarios would affect the nature of the generation interval and the course of the pandemic.
The researchers found that asymptomatic spread's contributions can reduce or raise the R0 calculation dramatically. That would mean that if current assumptions about asymptomatic spread are significantly inaccurate, R0's value and the resulting projections of the pandemic's length and severity would be, too.
Dr Weitz, who is a Professor in Georgia Tech's School of Biological Sciences and founding director of the Quantitative Biosciences Graduate Program added, "To get R0, we make an assumption about how generation interval s are distributed. Not accounting for asymptomatic generation intervals leads to biases in how big R0 is for COVID-19."
The research team, led by Dr Weitz and Dr Jonathan Dushoff from McMaster University, published their results in the June 2020 issue of the journal Epidemics. Sang Woo Park of Princeton University and Daniel Cornforth of Georgia Tech coauthored the study. The research was funded by the Simons Foundation, the Army Research Office, the National Institutes of Health, and the National Science Foundation.
While the study was not about mitigations like distancing and masks, the authors, like public health officials, said both pushback on the virus's innate strength of transmission. If a society can push the strength below 1, one infected person infecting just one other person on average, the pandemic starts to fade away, a success a few countries have already achieved.
Dr Weitz added, "If a lot of transmission is going the asymptomatic route, masks are really going to work in our favor. We should be prioritizing mask-wearing as a public health intervention irrespective of symptoms.”
Already there are important differences between the speed of contagion and how steeply the curve is climbing and the strength, also how sustained contagion is over time and how high the curve will peak. Speed is highly visible, strength much less so.
The innate speed of a pandemic is seen by how quickly the number of new cases per day doubles for example, every four days. But the strength of contagion is partly hidden in the yet-obscured frequency of asymptomatic contagion.
In addition to that stealth, the speed of spread on the upside of the curve looks exactly the same for many strengths, i.e. R0 values.
Dr Dushoff added, "That is the tricky thing. The difference comes in the long term, and it is big. Right now, we are judging the spread by its speed, but what can make the big difference in the peak and the duration of the pandemic is the strength of the spread."
Typically, a short generation interval can make for a shorter pandemic with a lower peak, and a long interval would expand both. Two polar opposite scenarios illustrate how this works. For the sake of the exercise, let's assume we know the real value of COVID-19's generation intervals during a pandemic where case counts double about every four days and symptomatic persons can spread the virus for six days on average.
By assuming hypothetically, that individuals transmitting the virus asymptomatically, on average, either:
-Can spread the coronavirus for only three days—a short generation interval, half the duration of symptomatic cases.
-Or, alternatively, spread the virus for 12 days—a long generation interval, twice the duration of symptomatic cases.
In order to maintain the speed of spread, in the first scenario, the virus is having to pass to more people more quickly, and herd immunity ie when enough individuals have immunity to stop the spread is reached sooner. The R0 is lower; the curve peaks and begins its decline sooner, and that reduces the total number of illnesses and deaths.
Dr Weitz added, "If the generation interval is long, that means it takes fewer infected people to maintain the same speed of contagion and that the spread is stronger, more sustained. If asymptomatic peo