Chadwick, Fergus J. ORCID: https://orcid.org/0000-0001-8650-1938 , Clark, Jessica ORCID: https://orcid.org/0000-0003-1692-899X , Chowdhury, Shayan ORCID: https://orcid.org/0000-0001-5153-9055 , Chowdhury, Tasnuva ORCID: https://orcid.org/0000-0003-0660-9784 , Pascall, David J. ORCID: https://orcid.org/0000-0002-7543-0860 , Haddou, Yacob, Andrecka, Joanna, Kundegorski, Mikolaj ORCID: https://orcid.org/0000-0002-0982-9371 , Wilkie, Craig ORCID: https://orcid.org/0000-0003-0805-0195 , Brum, Eric ORCID: https://orcid.org/0000-0002-0244-7178 , Shirin, Tahmina, Alamgir, A.S.M., Rahman, Mahbubur ORCID: https://orcid.org/0000-0001-8577-8281 , Alam, Ahmed Nawsher ORCID: https://orcid.org/0000-0002-7962-0725 , Khan, Farzana, Swallow, Ben ORCID: https://orcid.org/0000-0002-0227-2160 , Mair, Frances S., Illian, Janine ORCID: https://orcid.org/0000-0002-6130-2796 , Trotter, Caroline L. ORCID: https://orcid.org/0000-0003-4000-2708 , Hill, Davina L. ORCID: https://orcid.org/0000-0001-9085-6192 , Husmeier, Dirk ORCID: https://orcid.org/0000-0003-1673-7413 , Matthiopoulos, Jason ORCID: https://orcid.org/0000-0003-3639-8172 , Hampson, Katie ORCID: https://orcid.org/0000-0001-5392-6884 and Sania, Ayesha (2022) Combining rapid antigen testing and syndromic surveillance improves community-based COVID-19 detection in a low-income country. Nature Communications, 13 (1). p. 2877.
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Abstract
Diagnostics for COVID-19 detection are limited in many settings. Syndromic surveillance is often the only means to identify cases but lacks specificity. Rapid antigen testing is inexpensive and easy-to-deploy but can lack sensitivity. We examine how combining these approaches can improve surveillance for guiding interventions in low-income communities in Dhaka, Bangladesh. Rapid-antigen-testing with PCR validation was performed on 1172 symptomatically-identified individuals in their homes. Statistical models were fitted to predict PCR-status using rapid-antigen-test results, syndromic data, and their combination. Under contrasting epidemiological scenarios, the models’ predictive and classification performance was evaluated. Models combining rapid-antigen-testing and syndromic data yielded equal-to-better performance to rapid-antigen-test-only models across all scenarios with their best performance in the epidemic growth scenario. These results show that drawing on complementary strengths across rapid diagnostics, improves COVID-19 detection, and reduces false-positive and -negative diagnoses to match local requirements; improvements achievable without additional expense, or changes for patients or practitioners.
Item Type: | Article |
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Journal / Publication Title: | Nature Communications |
Publisher: | Nature Research |
ISSN: | 2041-1723 |
Departments: | Institute of Science and Environment > STEM |
Additional Information: | This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Davina Hill was Lecturer in Zoology at University of Cumbria, UK from 2016 to 2019. |
Depositing User: | Insight Administrator |
SWORD Depositor: | Insight Administrator |
Date Deposited: | 05 Jul 2022 13:17 |
Last Modified: | 13 Jan 2024 13:30 |
URI: | https://insight.cumbria.ac.uk/id/eprint/6471 |
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