Evidence map›Paper›PMID 33958601›Full record

ArticleScientific reports2021

Dynamic and features of SARS-CoV-2 infection in Gabon.

Amandine Mveang Nzoghe, Guy-Stephan Padzys, Anicet Christel Maloupazoa Siawaya, Marisca Kandet Yattara, Marielle Leboueny, Rotimi Myrabelle Avome Houechenou, Eliode Cyrien Bongho, Cedrick Mba-Mezeme, Ofilia Mvoundza Ndjindji, Jean Claude Biteghe-Bi-Essone and 10 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
0.9field-weighted citation impact, top 23% of its field
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, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. 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

20 authors at 5 institutions in 2 countries.

Amandine Mveang NzogheUnité de Recherche et Diagnostics Spécialisé, Service Laboratoire, CHU-Mère-EnfantFondation Jeanne EBORI, Libreville, Gabon.
Guy-Stephan PadzysDépartement de Biologie Cellulaire et Physiologie, Faculté Des Sciences, Université Des Sciences Et Techniques de Masuku, Franceville, Gabon.
Anicet Christel Maloupazoa SiawayaUnité de Recherche et Diagnostics Spécialisé, Service Laboratoire, CHU-Mère-EnfantFondation Jeanne EBORI, Libreville, Gabon.
Marisca Kandet YattaraHôpital Des Instruction des Armes D'Akanda, Libreville-Nord, Gabon.
Marielle LebouenyUnité de Recherche et Diagnostics Spécialisé, Service Laboratoire, CHU-Mère-EnfantFondation Jeanne EBORI, Libreville, Gabon.
Rotimi Myrabelle Avome HouechenouUnité de Recherche et Diagnostics Spécialisé, Service Laboratoire, CHU-Mère-EnfantFondation Jeanne EBORI, Libreville, Gabon.
Eliode Cyrien BonghoUnité de Recherche et Diagnostics Spécialisé, Service Laboratoire, CHU-Mère-EnfantFondation Jeanne EBORI, Libreville, Gabon.
Cedrick Mba-MezemeDépartement de Biologie Cellulaire et Physiologie, Faculté Des Sciences, Université Des Sciences Et Techniques de Masuku, Franceville, Gabon.
Ofilia Mvoundza NdjindjiUnité de Recherche et Diagnostics Spécialisé, Service Laboratoire, CHU-Mère-EnfantFondation Jeanne EBORI, Libreville, Gabon.
Jean Claude Biteghe-Bi-EssoneUnité de Recherche et Diagnostics Spécialisé, Service Laboratoire, CHU-Mère-EnfantFondation Jeanne EBORI, Libreville, Gabon.
Alain BoulendeUnité de Recherche et Diagnostics Spécialisé, Service Laboratoire, CHU-Mère-EnfantFondation Jeanne EBORI, Libreville, Gabon.
Paulin N EssoneLaboratoire National de Santé Publique, Libreville, Gabon.
Carene Anne Alene Ndong SimaUnité de Recherche et Diagnostics Spécialisé, Service Laboratoire, CHU-Mère-EnfantFondation Jeanne EBORI, Libreville, Gabon.
Ulysse MinkobamePôle mère, CHU- Mère-Enfant Fondation Jeanne EBORI, Libreville, Gabon.
Carinne Zang EyiPôle enfant, CHU- Mère-Enfant Fondation Jeanne EBORI, Libreville, Gabon.
Bénédicte NdebokoUnité de Recherche et Diagnostics Spécialisé, Service Laboratoire, CHU-Mère-EnfantFondation Jeanne EBORI, Libreville, Gabon.
Alexandru VolocPôle enfant, CHU- Mère-Enfant Fondation Jeanne EBORI, Libreville, Gabon.
Jean-François MeyePôle mère, CHU- Mère-Enfant Fondation Jeanne EBORI, Libreville, Gabon.
Simon AtegboPôle enfant, CHU- Mère-Enfant Fondation Jeanne EBORI, Libreville, Gabon.
Joel Fleury Djoba SiawayaUnité de Recherche et Diagnostics Spécialisé, Service Laboratoire, CHU-Mère-EnfantFondation Jeanne EBORI, Libreville, Gabon. joel.djoba@gmail.com.
Libreville Hospital · GAMinistre de la Forêt,de la Mer et de l'Environnement · GAUniversité des Sciences et Techniques de Masuku · GACentre de Recherche Médicales de Lambaréné · GAStellenbosch University · ZA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a context where SARS-CoV-2 population-wide testing is implemented, clinical features and antibody response in those infected have never been documented in Africa. Yet, the information provided by analyzing data from population-wide testing is critical to understand the infection dynamics and devise control strategies. We described clinical features and assessed antibody response in people screened for SARS-CoV-2 infection. We analyzed data from a cohort of 3464 people that we molecularly screened for SARS-CoV-2 infection in our routine activity. We recorded people SARS-CoV-2 diagnosis, age, gender, blood types, white blood cells (WBC), symptoms, chronic disease status and time to SARS-CoV-2 RT-PCR conversion from positive to negative. We calculated the age-based distribution of SARS-CoV-2 infection, analyzed the proportion and the spectrum of COVID-19 severity. Furthermore, in a nested sub-study, we screened 83 COVID-19 patients and 319 contact-cases for anti-SARS-CoV-2 antibodies. Males and females accounted for respectively 51% and 49% of people screened. The studied population median and mean age were both 39 years. 592 out of 3464 people (17.2%) were diagnosed with SARS-CoV-2 infection with males and females representing, respectively, 53% and 47%. The median and mean ages of SARS-CoV-2 infected subjects were 37 and 38 years respectively. The lowest rate of infection (8%) was observed in the elderly (aged > 60). The rate of SARS-Cov-2 infection in both young (18-35 years old) and middle-aged adults (36-60 years old) was around 20%. The analysis of SARS-CoV-2 infection age distribution showed that middle-aged adults accounted for 54.7% of SARS-CoV-2 positive persons, followed respectively by young adults (33.7%), children (7.7%) and elderly (3.8%). 68% (N = 402) of SARS-CoV-2 infected persons were asymptomatic, 26.3% (N = 156) had influenza-like symptoms, 2.7% (N = 16) had influenza-like symptoms associated with anosmia and ageusia, 2% (N = 11) had dyspnea and 1% (N = 7) had respiratory failure, which resulted in death. Data also showed that 12% of SARS-CoV-2 infected subjects, had chronic diseases. Hypertension, diabetes, and asthma were the top concurrent chronic diseases representing respectively 58%, 25% and 12% of recorded chronic diseases. Half of SARS-CoV-2 RT-PCR positive patients were cured within 14 days following the initiation of the anti-COVID-19 treatment protocol. 78.3% of COVID-19 patients and 55% of SARS-CoV-2 RT-PCR confirmed negative contact-cases were positive for anti-SARS-CoV-2 antibodies. Patients with severe-to-critical illness have higher leukocytes, higher neutrophils and lower lymphocyte counts contrarily to asymptomatic patients and patients with mild-to-moderate illness. Neutrophilic leukopenia was more prevalent in asymptomatic patients and patients with mild-to-moderate disease for 4 weeks after diagnosis (27.1-42.1%). In Patients with severe-to-critical illness, neutrophilic leukocytosis or neutrophilia (35.6-50%) and lymphocytopenia (20-40%) were more frequent. More than 60% of participants were blood type O. It is also important to note that infection rate was slightly higher among A and B blood types compared with type O. In this African setting, young and middle-aged adults are most likely driving community transmission of COVID-19. The rate of critical disease is relatively low. The high rate of anti-SARS-CoV-2 antibodies observed in SARS-CoV-2 RT-PCR negative contact cases suggests that subclinical infection may have been overlooked in our setting.

Indexed as

AdolescentAdultAgedAntibodies, ViralBlood Group AntigensChildChild, PreschoolCOVID-19COVID-19 TestingFemaleGabonHumansInfantLeukocyte CountMaleMiddle AgedAntibodies, ViralBlood Group Antigens

Identifiers

PMID33958601
PMCPMC8102484
OpenAlexW3158651353

What OpenQuestion holds

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LicenceCC BY
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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.