How about this from a published report from the European Centre for Disease Prevention and Control? It clarifies the possibility of asymptomatic or presymptomatic transmission, and in the end kinda backs up my suggestion that there is simply no way of knowing what the proportion of cases is that are coming via asymptomatic/presymptomatic routes, because the data simply aren’t up to it. Infectiousness seems highest just as the symptoms emerge, but you can certainly be infectious before you get symptoms, and you may never get symptoms at all. The quality of observational data are poor, so if you are relying on that and ignoring the mathematical modelling that uses Covid’s similarities with flu behaviour, then you don’t leave yourself much to work with, and definitive statements like ‘very rare’ seem a little more like (expert) opinion than evidence-based to me?
Ive added emphasis:
Role of asymptomatic and pre-symptomatic individuals
Asymptomatic infection at time of laboratory confirmation has been reported from many settings [8,29-34]. Some of these cases developed some symptoms at a later stage of infection [35,36]. In a recent review, the proportion of positive cases that remained asymptomatic was estimated at 16%, with a range from 6 to 41% [37]. In another systematic review, the pooled proportion of asymptomatic cases at time of testing was 25% [38]. A majority of these cases developed symptoms later on, with only 8.4% of the cases remaining asymptomatic throughout the follow-up period [38]. There are also reports of asymptomatic cases with laboratory-confirmed viral shedding in respiratory and gastrointestinal samples [35,39,40].
Similar viral loads in asymptomatic versus symptomatic cases have been reported, indicating the potential of virus transmission from asymptomatic patients [41].
Asymptomatic transmission (i.e. when the infector has no symptoms throughout the course of the disease), is difficult to quantify.
Available data, mainly derived from observational studies, vary in quality and seem to be prone to publication bias [38,42].
Mathematical modelling studies (not peer-reviewed) have suggested that asymptomatic individuals might be major drivers for the growth of the COVID-19 pandemic [43,44].
Although transmission from asymptomatic carriers has been reported [45,46],
the risk of transmission from pre-symptomatic or symptomatic patients is considered to be higher. Viral RNA shedding is higher at the time of symptom onset and declines after days or weeks [13].
Pre-symptomatic transmission (i.e. when the infector develops symptoms after transmitting the virus to another person) has been reported [34,47,48]. Exposure of secondary cases occurred 1–3 days before the source patient developed symptoms [48]. It has been inferred through modelling that, in the presence of control measures,
pre-symptomatic transmission contributed to 48% and 62% of transmissions in Singapore and China, respectively [49]. Pre-symptomatic transmission was deemed likely based on a shorter serial interval of COVID-19 (4.0 to 4.6 days) than the mean incubation period (five days) [50].
Major uncertainties remain with regard to the influence of pre-symptomatic transmission on the overall transmission dynamics of the pandemic
because the evidence on transmission from asymptomatic cases from case reports is suboptimal.
Factsheet on the COVID-19 pathogen, surveillance, clinical features, epidemiology, transmission, case management, and public health control measures.
www.ecdc.europa.eu
There may well be studies that say the opposite, of course... this was just the first one I found!
🙂