• Corpus ID: 220546393

A simple correction for COVID-19 sampling bias

  title={A simple correction for COVID-19 sampling bias},
  author={Daniel Andr'es D'iaz-Pach'on and J. Sunil Rao},
COVID-19 testing has become a standard approach for estimating prevalence which then assist in public health decision making to contain and mitigate the spread of the disease. The sampling designs used are often biased in that they do not reflect the true underlying populations. For instance, individuals with strong symptoms are more likely to be tested than those with no symptoms. This results in biased estimates of prevalence (too high). Typical post-sampling corrections are not always… 

Cross-sectional Ct distributions from qPCR tests can provide an early warning signal for the spread of COVID-19 in communities

Improved COVID-19 forecasting models using features derived from the Ct-based model can be enhanced using these Ct features to improve their forecasting accuracy, and public health agencies should publish Ct values along with the binary positive/negative PCR results.

A Transdisciplinary Analysis of COVID-19 in Italy: The Most Affected Country in Europe

The Italian experience definitely highlights the importance of preparedness and early action, effective interventions and risk communication, and the long-term management of the epidemic remains an open question.

Molecular evolution and structural analyses of spike protein COVID-19 variants in Negeri Sembilan of peninsular Malaysia

Out of the 70 SNPs isolated from all samples, in silico prediction revealed five novel SNPs that could cause functional defects to the spike protein, which are S221L, L226S, V826L, C1240F and C1243F, which supports in-silico predictions.



Basic methods for sensitivity analysis of biases.

  • S. Greenland
  • Medicine
    International journal of epidemiology
  • 1996
This paper reviews basic methods for examining the sensitivity of study results to biases, with a focus on methods that can be implemented without computer programming.

Identification of and Correction for Publication Bias

Two approaches for identifying the conditional probability of publication as a function of a study’s results are proposed, the first based on systematic replication studies and the second based on meta-studies.

A sample approach to the estimation of the critical parameters of the SARS-CoV-2 epidemics: an operational design with a focus on the Italian health system

A sample design to build up a continuous-time surveillance system for pandemic diffusion of the Covid-19 infection is proposed, thought having in mind the SAR-CoV-2 diffusion in Italy during the Spring of 2020.

Information Theory and Statistical Mechanics

Treatment of the predictive aspect of statistical mechanics as a form of statistical inference is extended to the density-matrix formalism and applied to a discussion of the relation between

Estimating Prevalence Using an Imperfect Test

The standard estimate of prevalence is the proportion of positive results obtained from the application of a diagnostic test to a random sample of individuals drawn from the population of interest.