Evidence map›Paper›PMID 33758900›Full record

ArticlemedRxiv : the preprint server for health sciences2021

Seroprevalence of anti-SARS-CoV-2 IgG antibodies in Juba, South Sudan: a population-based study.

Kirsten E Wiens, Pinyi Nyimol Mawien, John Rumunu, Damien Slater, Forrest K Jones, Serina Moheed, Andrea Caflish, Bior K Bior, Iboyi Amanya Jacob, Richard Lino Loro Lako and 16 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors.

Kirsten E WiensDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Pinyi Nyimol MawienRepublic of South Sudan Ministry of Health, Juba, South Sudan.
John RumunuRepublic of South Sudan Ministry of Health, Juba, South Sudan.
Damien SlaterDivision of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
Forrest K JonesDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Serina MoheedDivision of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
Andrea CaflishDisplacement Tracking Matrix, International Organization for Migration, Juba, South Sudan.
Bior K BiorRepublic of South Sudan Ministry of Health, Juba, South Sudan.
Iboyi Amanya JacobRepublic of South Sudan Ministry of Health, Juba, South Sudan.
Richard Lino Loro LakoRepublic of South Sudan Ministry of Health, Juba, South Sudan.
Argata Guracha GuyoWorld Health Organization, Juba, South Sudan.
Olushayo Oluseun OluWorld Health Organization, Juba, South Sudan.
Sylvester MaleghemiWorld Health Organization, Juba, South Sudan.
Andrew BagumaWorld Health Organization, Juba, South Sudan.
Juma John HassenWorld Health Organization, Juba, South Sudan.
Sheila K BayaWorld Health Organization, Juba, South Sudan.
Lul DengRepublic of South Sudan Ministry of Health, Juba, South Sudan.
Justin LesslerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Maya N DembyDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Vanessa SanchezDivision of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
Rachel MillsDivision of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
Clare FraserDivision of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
Richelle C CharlesDivision of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
Jason B HarrisDivision of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
Andrew S AzmanDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Joseph F WamalaWorld Health Organization, Juba, South Sudan.

Funding

Estimating Cholera Burden with Cross-sectional Immunologic DataR01AI135115 · NIAID · UNIVERSITY OF UTAH · PI LEUNG, DANIEL TED · 2018 to 2022
$3.4M
ACL HHS U01CK000490NCEZID CDC HHS U01 CK000490NIAID NIH HHS R01 AI135115
6 · The paper itself

Abstract

backgroundRelatively few COVID-19 cases and deaths have been reported through much of sub-Saharan Africa, including South Sudan, although the extent of SARS-CoV-2 spread remains unclear due to weak surveillance systems and few population-representative serosurveys.

methodsWe conducted a representative household-based cross-sectional serosurvey in Juba, South Sudan. We quantified IgG antibody responses to SARS-CoV-2 spike protein receptor-binding domain and estimated seroprevalence using a Bayesian regression model accounting for test performance.

resultsWe recruited 2,214 participants from August 10 to September 11, 2020 and 22.3% had anti-SARS-CoV-2 IgG titers above levels in pre-pandemic samples. After accounting for waning antibody levels, age, and sex, we estimated that 38.5% (32.1 - 46.8) of the population had been infected with SARS-CoV-2. For each RT-PCR confirmed COVID-19 case, 104 (87-126) infections were unreported. Background antibody reactivity was higher in pre-pandemic samples from Juba compared to Boston, where the serological test was validated. The estimated proportion of the population infected ranged from 30.1% to 60.6% depending on assumptions about test performance and prevalence of clinically severe infections.

conclusionsSARS-CoV-2 has spread extensively within Juba. Validation of serological tests in sub-Saharan African populations is critical to improve our ability to use serosurveillance to understand and mitigate transmission.

Identifiers

PMID33758900
PMCPMC7987059

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.