Author: Istvan Szapudi
Title: Efficient sample pooling strategies for COVID-19 data gathering Document date: 2020_4_7
ID: nsxp3xwf_3
Snippet: We introduce a simple model to quantify the aim of a CoViD-19 survey: in a particular age bracket, let's assume that a fraction p of the population is infected. We want to measure this fraction. The fraction of the population not infected is q = 1 − p. Let us assume that in our survey we pool the samples of n persons. For such a test to be negative, the probability is P − = q n , and consequently, the probability that the test yields a positi.....
Document: We introduce a simple model to quantify the aim of a CoViD-19 survey: in a particular age bracket, let's assume that a fraction p of the population is infected. We want to measure this fraction. The fraction of the population not infected is q = 1 − p. Let us assume that in our survey we pool the samples of n persons. For such a test to be negative, the probability is P − = q n , and consequently, the probability that the test yields a positive result is P + = 1 − q n . As a consequence, after N measurements, the probability of finding N + positive and N − results is
Search related documents:
Co phrase search for related documents- fraction measure and population fraction: 1
- infect population fraction and population fraction: 1, 2
- negative test and population fraction: 1, 2
- negative test and positive result: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- negative test and positive result yield: 1, 2
- population fraction and positive result: 1
Co phrase search for related documents, hyperlinks ordered by date