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临床试验/NCT05065632
NCT05065632招募中不适用

Population-based Age-stratified Seroepidemiological Investigation of Coronavirus 2019 (COVID-19) Infection in Gabon

Prof. Ayola Akim ADEGNIKA1 个研究点 分布在 1 个国家目标入组 3,455 人开始时间: 2021年10月1日最近更新:
适应症

试验速览

阶段
不适用
状态
招募中
发起方
入组人数
3,455
试验地点
1
主要终点
seroprevelence on SARS-Cov- 2 infection in Gabon

研究概览

简要总结

Gabon is the 3rd country most affected by COVID-19 behind Cameroon and Democratic Republic of Congo in Central Africa, with 8860 cases and 54 deaths in critically ill patients, since the first confirmed case of COVID-19 on the 10th of March 2020 (https://africacdc.org/covid-19/). Most of the individuals infected by SARS-CoV-2 are asymptomatic and they represent a major source of viral spread. To date, African countries have been less affected by deaths caused by the Covid-19 pandemic compared to other countries. It is currently unknown why Africa has avoided more deaths and appears to not simply be due to a lack of testing, since the overall death rate has not increased. Better quality data on seroprevalence in different African regions and proven explanations of the differences between Africa and other continents, are urgently needed. The aim of this study is to learn about the proportion of people after a first pic of transmission, who have been exposed to COVID-19 in Gabon by testing for plasma antibodies to the SARS-CoV-2 virus.

The overall goal of this study is to examine the trend of specific anti-SARS-CoV-2 antibodies in Gabonese population.

详细描述

Based on its technical capacities (ELISA bench and multiparametric flow cytometer), we will provide evident data on the immune responses in Covid-19 infected patients. The quantification of antibodies against SARS-CoV-2 recombinant protein will be done by ELISA using Wantai ELISA total Ab. Meanwhile, data on clinical status will be recorded and classified using WHO patient form. Data obtained will be analyzed by a statistician based at CERMEL using robust models in compliance with the type of data generated.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Cross Sectional

入排标准

年龄范围
1 Year 至 —(Child, Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Persons of both sexes aged one year and older and residing for more than three months in the study area are eligible to participate in the study

排除标准

  • Any person not residing in the locality surveyed or any person residing for less than three months. Refusal to give informed consent and contraindication to venipuncture venipuncture.

结局指标

主要结局

seroprevelence on SARS-Cov- 2 infection in Gabon

时间窗: 4 Months

assess the specific anti-SARS-CoV-2 antibodies in individuals and for modeling the evolution of the COVID-19 outbreak.

次要结局

未报告次要终点

研究者

发起方
Prof. Ayola Akim ADEGNIKA
申办方类型
Other
责任方
Sponsor Investigator
主要研究者

Prof. Ayola Akim ADEGNIKA

Prof. Dr

Centre de Recherche Médicale de Lambaréné

研究点 (1)

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