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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.
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1 CHU-Mère-EnfantFondation Jeanne EBORI, Unité de Recherche et Diagnostics Spécialisé, Service Laboratoire, Libreville, Gabon
2 Université Des Sciences Et Techniques de Masuku, Département de Biologie Cellulaire et Physiologie, Faculté Des Sciences, Franceville, Gabon (GRID:grid.430699.1) (ISNI:0000 0004 0452 416X)
3 CHU-Mère-EnfantFondation Jeanne EBORI, Unité de Recherche et Diagnostics Spécialisé, Service Laboratoire, Libreville, Gabon (GRID:grid.430699.1)
4 Hôpital Des Instruction des Armes D’Akanda, Libreville-Nord, Gabon (GRID:grid.430699.1)
5 Laboratoire National de Santé Publique, Libreville, Gabon (GRID:grid.430699.1); Centre de Recherches Médicales de Lambaréné, Lambaréné, Gabon (GRID:grid.452268.f)
6 CHU-Mère-EnfantFondation Jeanne EBORI, Unité de Recherche et Diagnostics Spécialisé, Service Laboratoire, Libreville, Gabon (GRID:grid.452268.f); Stellenbosch University, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch, South Africa (GRID:grid.11956.3a) (ISNI:0000 0001 2214 904X)
7 Pôle mère, CHU- Mère-Enfant Fondation Jeanne EBORI, Libreville, Gabon (GRID:grid.11956.3a)
8 Pôle enfant, CHU- Mère-Enfant Fondation Jeanne EBORI, Libreville, Gabon (GRID:grid.11956.3a)
9 CHU-Mère-EnfantFondation Jeanne EBORI, Unité de Recherche et Diagnostics Spécialisé, Service Laboratoire, Libreville, Gabon (GRID:grid.11956.3a); Université Des Sciences de La Santé, Département de Biologie Cellulaire and Moléculaire-Génétique, Faculté de Médecine, Libreville, Gabon (GRID:grid.502965.d)
10 Pôle enfant, CHU- Mère-Enfant Fondation Jeanne EBORI, Libreville, Gabon (GRID:grid.502965.d)
11 Pôle mère, CHU- Mère-Enfant Fondation Jeanne EBORI, Libreville, Gabon (GRID:grid.502965.d)
12 CHU-Mère-EnfantFondation Jeanne EBORI, Unité de Recherche et Diagnostics Spécialisé, Service Laboratoire, Libreville, Gabon (GRID:grid.502965.d)