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Longitudinal profile of antibody response to SARS-CoV-2 in patients with COVID-19 in a setting from Sub–Saharan Africa: A prospective longitudinal study

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dc.contributor.author Gebrecherkos, Teklay
dc.contributor.author Kebede Kiros, Yazezew
dc.contributor.author Challa, Feyissa
dc.contributor.author Abdella, Saro
dc.contributor.author Gebreegzabhe, Atsbeha
dc.contributor.author Leta, Dereje
dc.contributor.author Desta, Abraham
dc.contributor.author Hailu, Ataklt
dc.contributor.author Tasew, Geremew
dc.contributor.author Abdulkader, Mahmud
dc.contributor.author Tessema, Masresha
dc.contributor.author Tollera, Getachew
dc.contributor.author Kifle, Tsigereda
dc.contributor.author Gessesse Arefaine, Zekarias
dc.contributor.author HDF Schallig, Henk
dc.contributor.author R. Adams, Emily
dc.contributor.author C. Urban, Britta
dc.contributor.author F. Rinke de Wi, Tobias
dc.contributor.author Wolday, Dawit
dc.date.accessioned 2023-02-03T14:38:27Z
dc.date.available 2023-02-03T14:38:27Z
dc.date.issued 2022-03-23
dc.identifier.citation Gebrecherkos T, Kiros YK, Challa F, Abdella S, Gebreegzabher A, Leta D, et al. (2022) Longitudinal profile of antibody response to SARS CoV-2 in patients with COVID-19 in a setting from Sub–Saharan Africa: A prospective longitudinal study. PLoS ONE 17(3): e0263627 en_US
dc.identifier.uri http://ephispace.ephi.gov.et/xmlui/handle/123456789/544
dc.description.abstract Background Serological testing for SARS-CoV-2 plays an important role for epidemiological studies, in aiding the diagnosis of COVID-19, and assess vaccine responses. Little is known on dynamics of SARS-CoV-2 serology in African settings. Here, we aimed to characterize the longitudinal antibody response profile to SARS-CoV-2 in Ethiopia. Methods In this prospective study, a total of 102 PCR-confirmed COVID-19 patients were enrolled. We obtained 802 plasma samples collected serially. SARS-CoV-2 antibodies were determined using four lateral flow immune-assays (LFIAs), and an electrochemiluminescent immunoassay. We determined longitudinal antibody response to SARS-CoV-2 as well as seroconversion dynamics. Results Serological positivity rate ranged between 12%-91%, depending on timing after symptom onset. There was no difference in positivity rate between severe and non-severe COVID-19 cases. The specificity ranged between 90%-97%. Agreement between different assays ranged between 84%-92%. The estimated positive predictive value (PPV) for IgM or IgG in a scenario with seroprevalence at 5% varies from 33% to 58%. Nonetheless, when the population seroprevalence increases to 25% and 50%, there is a corresponding increases in the estimated PPVs. The estimated negative-predictive value (NPV) in a low seroprevalence scenario (5%) is high (>99%). However, the estimated NPV in a high seroprevalence scenario (50%) for IgM or IgG is reduced significantly to 80% to 85%. Overall, 28/102 (27.5%) seroconverted by one or more assays tested, within a median time of 11 (IQR: 9–15) days post symptom onset. The median seroconversion time among symptomatic cases tended to be shorter when compared to asymptomatic patients [9 (IQR: 6–11) vs. 15 (IQR: 13–21) days; p = 0.002]. Overall, seroconversion reached 100% 5.5 weeks after the onset of symptoms. Notably, of the remaining 74 COVID-19 patients included in the cohort, 64 (62.8%) were positive for antibody at the time of enrollment, and 10 (9.8%) patients failed to mount a detectable antibody response by any of the assays tested during follow-up. Conclusions Longitudinal assessment of antibody response in African COVID-19 patients revealed heterogeneous responses. This underscores the need for a comprehensive evaluation of seroassays before implementation. Factors associated with failure to seroconvert needs further research. en_US
dc.language.iso en en_US
dc.publisher PLOS ONE en_US
dc.title Longitudinal profile of antibody response to SARS-CoV-2 in patients with COVID-19 in a setting from Sub–Saharan Africa: A prospective longitudinal study en_US
dc.type Journal Article en_US
ep.contributor.affiliation Mekelle University College of Health Sciences, Mekelle, Ethiopia en_US
ep.contributor.affiliation Ethiopian Public Health Institute, Addis Ababa, Ethiopia en_US
ep.contributor.affiliation Tigray Health Research Institute, Mekelle, Ethiopia en_US
ep.contributor.affiliation Department of Medical Microbiology, and Infection Prevention, Experimental Parasitology Unit, Amsterdam Institute for Infection and Immunity, Academic Medical Center at the University of Amsterdam, Amsterdam, The Netherlands en_US
ep.contributor.affiliation Liverpool School of Tropical Medicine, Liverpool, United Kingdom en_US
ep.contributor.affiliation Amsterdam Institute Global Health and Development, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands en_US
ep.identifier.status Open Access en_US
ep.identifier.doi doi.org/10.1371/journal.pone.0263627 en_US
ep.journal PLOS ONE en_US


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