Nilles, Eric J; de St Aubin, Michael; Dumas, Devan; Duke, William; Etienne, Marie Caroline; Abdalla, Gabriela; Jarolim, Petr; Oasan, Timothy; Garnier, Salome; Iihoshi, Naomi; +20 more... Lopez, Beatriz; de la Cruz, Lucia; Puello, Yosanly Cornelio; Baldwin, Margaret; Roberts, Kathryn W; Peña, Farah; Durski, Kara; Sanchez, Isaac Miguel; Gunter, Sarah M; Kneubehl, Alexander R; Murray, Kristy O; Lino, Allison; Strobel, Sarah; Baez, Amado Alejandro; Lau, Colleen L; Kucharski, Adam; Gutiérrez, Emily Zielinski; Skewes-Ramm, Ronald; Vasquez, Marietta; Paulino, Cecilia Then; (2023) Monitoring Temporal Changes in SARS-CoV-2 Spike Antibody Levels and Variant-Specific Risk for Infection, Dominican Republic, March 2021-August 2022. Emerging infectious diseases, 29 (4). pp. 723-733. ISSN 1080-6040 DOI: https://doi.org/10.3201/eid2904.221628
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Abstract
To assess changes in SARS-CoV-2 spike binding antibody prevalence in the Dominican Republic and implications for immunologic protection against variants of concern, we prospectively enrolled 2,300 patients with undifferentiated febrile illnesses in a study during March 2021-August 2022. We tested serum samples for spike antibodies and tested nasopharyngeal samples for acute SARS-CoV-2 infection using a reverse transcription PCR nucleic acid amplification test. Geometric mean spike antibody titers increased from 6.6 (95% CI 5.1-8.7) binding antibody units (BAU)/mL during March-June 2021 to 1,332 (95% CI 1,055-1,682) BAU/mL during May-August 2022. Multivariable binomial odds ratios for acute infection were 0.55 (95% CI 0.40-0.74), 0.38 (95% CI 0.27-0.55), and 0.27 (95% CI 0.18-0.40) for the second, third, and fourth versus the first anti-spike quartile; findings were similar by viral strain. Combining serologic and virologic screening might enable monitoring of discrete population immunologic markers and their implications for emergent variant transmission.
Item Type | Article |
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Faculty and Department | Faculty of Epidemiology and Population Health > Dept of Infectious Disease Epidemiology & Dynamics (2023-) |
Research Centre |
Covid-19 Research Centre for the Mathematical Modelling of Infectious Diseases |
PubMed ID | 36848869 |
Elements ID | 201328 |
Official URL | http://dx.doi.org/10.3201/eid2904.221628 |
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