Evidence map›Paper›PMID 36600885›Full record

ArticleEClinicalMedicine2023

Omicron B.1.1.529 variant infections associated with severe disease are uncommon in a COVID-19 under-vaccinated, high SARS-CoV-2 seroprevalence population in Malawi.

Upendo L Mseka, Jonathan Mandolo, Kenneth Nyoni, Oscar Divala, Dzinkambani Kambalame, Daniel Mapemba, Moses Kamzati, Innocent Chibwe, Marc Y R Henrion, Kingsley Manda and 21 more

Abstract read
In one paragraph

Article in EClinicalMedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  7. Characterizing the evolving SARS-CoV-2 seroprevalence in urban and rural Malawi between February 2021 and April 2022: A population-based cohort study.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

31 authors.

Upendo L MsekaMalawi-Liverpool-Wellcome Programme, Blantyre, Malawi.
Jonathan MandoloMalawi-Liverpool-Wellcome Programme, Blantyre, Malawi.
Kenneth NyoniPublic Health Institute of Malawi, Lilongwe, Malawi.
Oscar DivalaPublic Health Institute of Malawi, Lilongwe, Malawi.
Dzinkambani KambalamePublic Health Institute of Malawi, Lilongwe, Malawi.
Daniel MapembaPublic Health Institute of Malawi, Lilongwe, Malawi.
Moses KamzatiPublic Health Institute of Malawi, Lilongwe, Malawi.
Innocent ChibwePublic Health Institute of Malawi, Lilongwe, Malawi.
Marc Y R HenrionMalawi-Liverpool-Wellcome Programme, Blantyre, Malawi.
Kingsley MandaNational Statistical Office, Zomba, Malawi.
Deus ThindwaMalawi-Liverpool-Wellcome Programme, Blantyre, Malawi.
Memory MvulaMalawi-Liverpool-Wellcome Programme, Blantyre, Malawi.
Bright OdalaPublic Health Institute of Malawi, Lilongwe, Malawi.
Raphael Kamng'onaMalawi-Liverpool-Wellcome Programme, Blantyre, Malawi.
Nelson DzinzaNational Statistical Office, Zomba, Malawi.
Khuzwayo C JereMalawi-Liverpool-Wellcome Programme, Blantyre, Malawi.
Nicholas FeaseyMalawi-Liverpool-Wellcome Programme, Blantyre, Malawi.
Antonia HoUniversity of Glasgow, Glasgow, United Kingdom.
Abena S AmoahLondon School of Hygiene and Tropical Medicine, London, United Kingdom.
Melita GordonMalawi-Liverpool-Wellcome Programme, Blantyre, Malawi.
Todd D SwarthoutNIHR Mucosal Pathogens Research Unit, Research Department of Infection, Division of Infection and Immunity, University College London, London, United Kingdom.
Amelia CrampinUniversity of Glasgow, Glasgow, United Kingdom.
Robert S HeydermanNIHR Mucosal Pathogens Research Unit, Research Department of Infection, Division of Infection and Immunity, University College London, London, United Kingdom.
Matthew KagoliPublic Health Institute of Malawi, Lilongwe, Malawi.
Evelyn Chitsa-BandaPublic Health Institute of Malawi, Lilongwe, Malawi.
Collins MitamboPublic Health Institute of Malawi, Lilongwe, Malawi.
John PhukaKamuzu University of Health Sciences (formerly University of Malawi, College of Medicine) Blantyre, Malawi.
Benson ChilimaPublic Health Institute of Malawi, Lilongwe, Malawi.
Watipaso KasambaraPublic Health Institute of Malawi, Lilongwe, Malawi.
Kondwani C JamboMalawi-Liverpool-Wellcome Programme, Blantyre, Malawi.
Annie Chauma-MwalePublic Health Institute of Malawi, Lilongwe, Malawi.

Funding

Medical Research Council MC_PC_19026Medical Research Council MR/T008822/1
6 · The paper itself

Abstract

Background: The B.1.1.529 (Omicron) variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has resulted in the fourth COVID-19 pandemic wave across the southern African region, including Malawi. The seroprevalence of SARS-CoV-2 antibodies and their association with epidemiological trends of hospitalisations and deaths are needed to aid locally relevant public health policy decisions. Methods: We conducted a population-based serosurvey from December 27, 2021 to January 17, 2022, in 7 districts across Malawi to determine the seroprevalence of SARS-CoV-2 antibodies. Serum samples were tested for antibodies against SARS-CoV-2 receptor binding domain using WANTAI SARS-CoV-2 Receptor Binding Domain total antibody commercial enzyme-linked immunosorbent assay (ELISA). We also evaluated COVID-19 epidemiologic trends in Malawi, including cases, hospitalisations and deaths from April 1, 2021 through April 30, 2022, collected using the routine national COVID-19 reporting system. A multivariable logistic regression model was developed to investigate the factors associated with SARS-CoV-2 seropositivity. Findings: Serum samples were analysed from 4619 participants (57% female; 60% aged 18-50 years), of whom 878/3794 (23%) of vaccine eligible adults had received a single dose of any COVID-19 vaccine. The overall assay-adjusted seroprevalence was 83.7% (95% confidence interval (CI), 79.3%-93.4%). Seroprevalence was lowest among children <13 years of age (66%) and highest among adults 18-50 years of age (82%). Seroprevalence was higher among vaccinated compared to unvaccinated participants (1 dose, 94% vs. 77%, adjusted odds ratio 4.89 [95% CI, 3.43-7.22]; 2 doses, 97% vs. 77%, aOR 6.62 [95% CI, 4.14-11.3]). Urban residents were more likely to be seropositive than those from rural settings (91% vs. 78%, aOR 2.76 [95% CI, 2.16-3.55]). There was at least a two-fold reduction in the proportion of hospitalisations and deaths among the reported cases in the fourth wave compared to the third wave (hospitalisations, 10.7% (95% CI, 10.2-11.3) vs. 4.86% (95% CI, 4.52-5.23), p < 0.0001; deaths, 3.48% (95% CI, 3.18-3.81) vs. 1.15% (95% CI, 1.00-1.34), p < 0.0001). Interpretation: We report reduction in proportion of hospitalisations and deaths from SARS-CoV-2 infections during the Omicron variant dominated wave in Malawi, in the context of high SARS-CoV-2 seroprevalence and low COVID-19 vaccination coverage. These findings suggest that COVID-19 vaccination policy in high seroprevalence settings may need to be amended from mass campaigns to targeted vaccination of reported at-risk populations. Funding: Supported by the Bill and Melinda Gates Foundation (INV-039481).

Indexed as

Anti-RBD antibodiesCOVID-19MalawiOmicronSARS-CoV-2

Identifiers

PMID36600885
PMCPMC9800171

What OpenQuestion holds

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Registered trials

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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.