Adapting Lot Quality Assurance Sampling to accommodate imperfect diagnostic tests
Application to Covid-19 serosurveillance in Haiti
Bibliographic Data
| ID | 15382870 |
|---|---|
| Authors | Isabel R Fulcher (0000-0002-1209-824X, Harvard Global Health Institute, corresponding author), Mary Clisbee (0000-0002-9589-8161), Wesler Lambert (0000-0001-9517-4879), Fèrnet Leandre (Harvard University), Fernet Renand Leandre, Bethany Hedt-Gauthier (0000-0002-9689-5413, Harvard University) |
| Year | 2022 |
| Volume | 22 |
| Issue | 1 |
| Pages | 2221-2221 |
| Publication date | 2022-11-29 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | BMC Public Health (JOURNAL) |
| Journal identifiers | ISSN: 1471-2458 • E-ISSN: 1471-2458 |
| Publisher | BioMed Central (PUBLISHER • GB) |
| DOI | 10.1186/s12889-022-14206-5 |
| PMID | 36447195 |
| OpenAlex | W4310985581 |
| Language | EN |
| References cited | 7 |
The LQAS-IMP procedure accounts for imperfect sensitivity and specificity in system design; if the accuracy of a test is known, the use of LQAS-IMP extends LQAS to applications for indicators that are based on laboratory tests, such as SARS-CoV-2 antibodies
Data mining · Environmental health · Filter (signal processing · Lot quality assurance sampling · Population · Public health · Sampling (signal processing · Sampling design · Statistics · Computer Science · COVID-19 epidemiological studies · Mathematics · Medicine · SARS-CoV-2 and COVID-19 Research · SARS-CoV-2 detection and testing
| Highly cited | No |
|---|