The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Test sensitivity is secondary to frequency and turnaround time for COVID-19 screening
Open accessAbstract
Test sensitivity is secondary to frequency and turnaround time for COVID-19 screening.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Virological assessment of hospitalized patients with COVID-2019
Wölfel, R., Corman, V. M., Guggemos, W., Seilmaier, M., Zange, S., Müller, M. A., Niemeyer, D., Jones, T. C., Vollmar, P., Rothe, C., et al. (2020) · Nature · doi:10.1038/s41586-020-2196-x · Cited by 6,661
Lauer, S. A., Grantz, K. H., Bi, Q., Jones, F. K., Zheng, Q., Meredith, H. R., Azman, A. S., Reich, N. G., & Lessler, J. (2020) · Annals of Internal Medicine · doi:10.7326/m20-0504 · Cited by 5,970
Viral dynamics in mild and severe cases of COVID-19
Liu, Y., Yan, L.-M., Wan, L., Xiang, T.-X., Le, A., Liu, J.-M., Peiris, M., Poon, L. L. M., & Zhang, W. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30232-2 · Cited by 1,727
DNA vaccine protection against SARS-CoV-2 in rhesus macaques
Yu, J., Tostanoski, L. H., Peter, L., Mercado, N. B., McMahan, K., Mahrokhian, S. H., Nkolola, J. P., Liu, J., Li, Z., Chandrashekar, A., et al. (2020) · Science · doi:10.1126/science.abc6284 · Cited by 997
Self-citationKucharski, A. J., Klepac, P., Conlan, A. J. K., Kissler, S. M., Tang, M. L., Fry, H., Gog, J. R., Edmunds, W. J., Emery, J. C., Medley, G., et al. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30457-6 · Cited by 900
van Kampen, J. J. A., van de Vijver, D. A. M. C., Fraaij, P. L. A., Haagmans, B. L., Lamers, M. M., Okba, N., van den Akker, J. P. C., Endeman, H., Gommers, D. A. M. P. J., Cornelissen, J. J., et al. (2021) · Nature Communications · doi:10.1038/s41467-020-20568-4 · Cited by 838
SARS-CoV-2 infection protects against rechallenge in rhesus macaques
Chandrashekar, A., Liu, J., Martinot, A. J., McMahan, K., Mercado, N. B., Peter, L., Tostanoski, L. H., Yu, J., Maliga, Z., Nekorchuk, M., et al. (2020) · Science · doi:10.1126/science.abc4776 · Cited by 816
Self-citationSecondary attack rate and superspreading events for SARS-CoV-2
Liu, Y., Eggo, R. M., & Kucharski, A. J. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30462-1 · Cited by 350
Kissler, S. M., Kishore, N., Prabhu, M., Goffman, D., Beilin, Y., Landau, R., Gyamfi-Bannerman, C., Bateman, B. T., Snyder, J., Razavi, A. S., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-18271-5 · Cited by 129
Self-citation
Cited by
Ultrasensitive and Highly Specific Lateral Flow Assays for Point-of-Care Diagnosis
Liu, Y., Zhan, L., Qin, Z., Sackrison, J., & Bischof, J. C. (2021) · ACS Nano · doi:10.1021/acsnano.0c10035 · Cited by 626
Rapid, point-of-care antigen tests for diagnosis of SARS-CoV-2 infection
Dinnes, J., Deeks, J. J., Berhane, S., Taylor, M., Adriano, A., Davenport, C., Dittrich, S., Emperador, D., Takwoingi, Y., Cunningham, J., et al. (2021) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd013705.pub2 · Cited by 591
The timing of COVID-19 transmission
Ferretti, L., Ledda, A., Wymant, C., Zhao, L., Ledda, V., Abeler-Dörner, L., Kendall, M., Nurtay, A., Cheng, H.-Y., Ng, T.-C., et al. (2020) · doi:10.1101/2020.09.04.20188516 · Cited by 112
Kahn, R., Schrag, S. J., Verani, J. R., & Lipsitch, M. (2022) · American Journal of Epidemiology · doi:10.1093/aje/kwac015 · Cited by 76
Domain Shifts in Machine Learning Based Covid-19 Diagnosis From Blood Tests
Roland, T., Böck, C., Tschoellitsch, T., Maletzky, A., Hochreiter, S., Meier, J., & Klambauer, G. (2022) · Journal of Medical Systems · doi:10.1007/s10916-022-01807-1 · Cited by 42
Metadata
- Authors
- Larremore, D. B., Wilder, B., Lester, E., Shehata, S., Burke, J. M., Hay, J. A., Tambe, M., Mina, M. J., & Parker, R.
- Venue
- Science Advances
- Published
- 2021-01
- Volume
- 7
- Issue
- 1
- ISSN
- 2375-2548 (ISSN-L)
- OpenAlex
- W3102037011
- Cited by
- 1,216
- References
- 9
- FWCI
- 70.48
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Test sensitivity is secondary to frequency and turnaround time for COVID-19 screening. https://app.cochat.ai/papers/10.1126/sciadv.abd5393
- The paper
- Larremore, D. B., Wilder, B., Lester, E., Shehata, S., Burke, J. M., Hay, J. A., Tambe, M., Mina, M. J., & Parker, R. (2021). Test sensitivity is secondary to frequency and turnaround time for COVID-19 screening. Science Advances. https://doi.org/10.1126/sciadv.abd5393
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
