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

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 devi...

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Autores principales: Mveang Nzoghe, Amandine, Padzys, Guy-Stephan, Maloupazoa Siawaya, Anicet Christel, Kandet Yattara, Marisca, Leboueny, Marielle, Avome Houechenou, Rotimi Myrabelle, Bongho, Eliode Cyrien, Mba-Mezeme, Cedrick, Mvoundza Ndjindji, Ofilia, Biteghe-Bi-Essone, Jean Claude, Boulende, Alain, Essone, Paulin N., Ndong Sima, Carene Anne Alene, Minkobame, Ulysse, Zang Eyi, Carinne, Ndeboko, Bénédicte, Voloc, Alexandru, Meye, Jean-François, Ategbo, Simon, Djoba Siawaya, Joel Fleury
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8102484/
https://www.ncbi.nlm.nih.gov/pubmed/33958601
http://dx.doi.org/10.1038/s41598-021-87043-y
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author Mveang Nzoghe, Amandine
Padzys, Guy-Stephan
Maloupazoa Siawaya, Anicet Christel
Kandet Yattara, Marisca
Leboueny, Marielle
Avome Houechenou, Rotimi Myrabelle
Bongho, Eliode Cyrien
Mba-Mezeme, Cedrick
Mvoundza Ndjindji, Ofilia
Biteghe-Bi-Essone, Jean Claude
Boulende, Alain
Essone, Paulin N.
Ndong Sima, Carene Anne Alene
Minkobame, Ulysse
Zang Eyi, Carinne
Ndeboko, Bénédicte
Voloc, Alexandru
Meye, Jean-François
Ategbo, Simon
Djoba Siawaya, Joel Fleury
author_facet Mveang Nzoghe, Amandine
Padzys, Guy-Stephan
Maloupazoa Siawaya, Anicet Christel
Kandet Yattara, Marisca
Leboueny, Marielle
Avome Houechenou, Rotimi Myrabelle
Bongho, Eliode Cyrien
Mba-Mezeme, Cedrick
Mvoundza Ndjindji, Ofilia
Biteghe-Bi-Essone, Jean Claude
Boulende, Alain
Essone, Paulin N.
Ndong Sima, Carene Anne Alene
Minkobame, Ulysse
Zang Eyi, Carinne
Ndeboko, Bénédicte
Voloc, Alexandru
Meye, Jean-François
Ategbo, Simon
Djoba Siawaya, Joel Fleury
author_sort Mveang Nzoghe, Amandine
collection PubMed
description 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.
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spelling pubmed-81024842021-05-07 Dynamic and features of SARS-CoV-2 infection in Gabon Mveang Nzoghe, Amandine Padzys, Guy-Stephan Maloupazoa Siawaya, Anicet Christel Kandet Yattara, Marisca Leboueny, Marielle Avome Houechenou, Rotimi Myrabelle Bongho, Eliode Cyrien Mba-Mezeme, Cedrick Mvoundza Ndjindji, Ofilia Biteghe-Bi-Essone, Jean Claude Boulende, Alain Essone, Paulin N. Ndong Sima, Carene Anne Alene Minkobame, Ulysse Zang Eyi, Carinne Ndeboko, Bénédicte Voloc, Alexandru Meye, Jean-François Ategbo, Simon Djoba Siawaya, Joel Fleury Sci Rep Article 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. Nature Publishing Group UK 2021-05-06 /pmc/articles/PMC8102484/ /pubmed/33958601 http://dx.doi.org/10.1038/s41598-021-87043-y Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Mveang Nzoghe, Amandine
Padzys, Guy-Stephan
Maloupazoa Siawaya, Anicet Christel
Kandet Yattara, Marisca
Leboueny, Marielle
Avome Houechenou, Rotimi Myrabelle
Bongho, Eliode Cyrien
Mba-Mezeme, Cedrick
Mvoundza Ndjindji, Ofilia
Biteghe-Bi-Essone, Jean Claude
Boulende, Alain
Essone, Paulin N.
Ndong Sima, Carene Anne Alene
Minkobame, Ulysse
Zang Eyi, Carinne
Ndeboko, Bénédicte
Voloc, Alexandru
Meye, Jean-François
Ategbo, Simon
Djoba Siawaya, Joel Fleury
Dynamic and features of SARS-CoV-2 infection in Gabon
title Dynamic and features of SARS-CoV-2 infection in Gabon
title_full Dynamic and features of SARS-CoV-2 infection in Gabon
title_fullStr Dynamic and features of SARS-CoV-2 infection in Gabon
title_full_unstemmed Dynamic and features of SARS-CoV-2 infection in Gabon
title_short Dynamic and features of SARS-CoV-2 infection in Gabon
title_sort dynamic and features of sars-cov-2 infection in gabon
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8102484/
https://www.ncbi.nlm.nih.gov/pubmed/33958601
http://dx.doi.org/10.1038/s41598-021-87043-y
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