Antibody surveys suggesting vast undercount of coronavirus infections may be unreliable

  title={Antibody surveys suggesting vast undercount of coronavirus infections may be unreliable},
  author={Gretchen Vogel},
  • G. Vogel
  • Published 21 April 2020
  • Geography
  • Science
Surveying large swaths of the public for antibodies to the new coronavirus promises to show how widespread undiagnosed infections are, how deadly the virus really is, and whether enough of the population has become immune for social distancing measures to be eased But the first batch of results has generated more controversy than clarity The survey results, from Germany, the Netherlands, and several locations in the United States, find that anywhere from 2% to 30% of certain populations have… Expand
Testing at scale during the COVID-19 pandemic
This Review describes the changing role of testing during the COVID-19 pandemic, including the use of genomic surveillance to track SARS-CoV-2 transmission around the world, theUse of contact tracing to contain disease outbreaks and testing for the presence of the virus circulating in the environment. Expand
A note on COVID-19 seroprevalence studies: a meta-analysis using hierarchical modelling
A meta-analysis on the recent seroprevalence studies points to an important and strongly suggestive signal and finds that there is evidence for non-trivial levels of antibody prevalence across all study locations. Expand
Molecular Diagnosis of COVID-19: Challenges and Research Needs
Critical research needs are discussed, such as improvements in RT-PCR, development of alternative nucleic acid amplification techniques, incorporating CRISPR technology for point-of-care applications, validation of POC tests, and sequencing of viral RNA and its mutations. Expand
Identification and Estimation of Undetected COVID-19 Cases Using Testing Data from Iceland
In the early stages of the COVID-19 pandemic, international testing efforts tended to target individuals whose symptoms and/or jobs placed them at a high presumed risk of infection. Testing regimesExpand
Identification and Estimation of Undetected Covid-19 Cases Using Testing Data from Iceland
It is shown that partial identification techniques can credibly deal with the data problems that common COVID-19 testing programs induce and that the undetected rate was between 89% and 93% before the medical system broadened its eligibility criteria and between 80% and 90% after. Expand
The potential effects of widespread community transmission of SARS-CoV-2 infection in the World Health Organization African Region: a predictive model
The results predict a high risk of exposure in states of small size, together with Algeria, South Africa and Cameroon, and Nigeria will have the largest number of infections, followed by Algeria and South Africa, and Mauritania would have the fewest cases. Expand
The potential effects of widespread community transmission of SARS-CoV-2 infection in the WHO African Region: a predictive model
The spread of SARS-CoV-2 has been unprecedented in its speed and effects. Interruption of its transmission to prevent widespread community transmission is critical because its effects go beyond theExpand
Open science, COVID-19, and the news: Exploring controversies in the circulation of early SARS-CoV-2 genomic epidemiology research
The COVID-19 pandemic is interpreted as a ‘stress-test’ for open science practices, and it is argued that it is important for stakeholders to understand changes in scientific publication and dissemination processes in the wake of the pandemic. Expand
Die Prävalenz von SARS-CoV-2-IgG-AK liegt bei 1,2%
The prevalence of 1.2% of SARS-CoV-2-IgG-antibodies and consequently the rate of infection in asymptomatic outpatients in Northrhine-Westfalia (Germany) is low and the impact of virus neutralisation by antibodies and consequently immunization is the challenge of further investigations. Expand
Combining serology with case-detection, to allow the easing of restrictions against SARS-CoV-2: a modelling-based study in India
PCR-based testing and serological surveillance can be combined to design evidence-based policies, for lifting lockdowns in Indian cities and elsewhere, and show that a testing strategy needs to identify symptomatic cases within 5–8 days of symptom onset, in order to prevent a resurgent wave from overwhelming hospital capacity in the city. Expand