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


Journal

medRxiv : the preprint server for health sciences
Titre abrégé: medRxiv
Pays: United States
ID NLM: 101767986

Informations de publication

Date de publication:
12 Mar 2021
Historique:
entrez: 24 3 2021
pubmed: 25 3 2021
medline: 25 3 2021
Statut: epublish

Résumé

Relatively 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. We 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. We 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. SARS-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.

Sections du résumé

BACKGROUND BACKGROUND
Relatively 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.
METHODS METHODS
We 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.
RESULTS RESULTS
We 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.
CONCLUSIONS CONCLUSIONS
SARS-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.

Identifiants

pubmed: 33758900
doi: 10.1101/2021.03.08.21253009
pmc: PMC7987059
pii:
doi:

Types de publication

Preprint

Langues

eng

Subventions

Organisme : NIAID NIH HHS
ID : R01 AI135115
Pays : United States
Organisme : ACL HHS
ID : U01CK000490
Pays : United States

Commentaires et corrections

Type : UpdateIn

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Auteurs

Kirsten E Wiens (KE)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Pinyi Nyimol Mawien (PN)

Republic of South Sudan Ministry of Health, Juba, South Sudan.

John Rumunu (J)

Republic of South Sudan Ministry of Health, Juba, South Sudan.

Damien Slater (D)

Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.

Forrest K Jones (FK)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Serina Moheed (S)

Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.

Andrea Caflish (A)

Displacement Tracking Matrix, International Organization for Migration, Juba, South Sudan.

Bior K Bior (BK)

Republic of South Sudan Ministry of Health, Juba, South Sudan.

Iboyi Amanya Jacob (IA)

Republic of South Sudan Ministry of Health, Juba, South Sudan.

Richard Lino Loro Lako (RLL)

Republic of South Sudan Ministry of Health, Juba, South Sudan.

Argata Guracha Guyo (AG)

World Health Organization, Juba, South Sudan.

Olushayo Oluseun Olu (OO)

World Health Organization, Juba, South Sudan.

Sylvester Maleghemi (S)

World Health Organization, Juba, South Sudan.

Andrew Baguma (A)

World Health Organization, Juba, South Sudan.
Kabale University School of Medicine, Department of Microbiology and Immunology.

Juma John Hassen (JJ)

World Health Organization, Juba, South Sudan.

Sheila K Baya (SK)

World Health Organization, Juba, South Sudan.

Lul Deng (L)

Republic of South Sudan Ministry of Health, Juba, South Sudan.

Justin Lessler (J)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Maya N Demby (MN)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.

Vanessa Sanchez (V)

Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.

Rachel Mills (R)

Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.

Clare Fraser (C)

Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.

Richelle C Charles (RC)

Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
Department of Medicine, Harvard Medical School, Boston, MA, USA.

Jason B Harris (JB)

Division of Infectious Diseases, Massachusetts General Hospital, Boston, MA, USA.
Department of Pediatrics, Harvard Medical School, Boston, MA, USA.

Andrew S Azman (AS)

Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Médecins Sans Frontières, Geneva, Switzerland.
Institute of Global Health, Faculty of Medicine, University of Geneva, Geneva, Switzerland.

Joseph F Wamala (JF)

World Health Organization, Juba, South Sudan.

Classifications MeSH