STREngthening Epidemiological Surveillance in Benin and Burkina Faso for an Effective Response to COVID-19
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 入组人数
- 7,000
- 试验地点
- 1
- 主要终点
- Proportion of subjects infected with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) by strategic sites (suspected cases, contact cases)
研究概览
简要总结
The aim of this observational study was to develop, with the intended users, an epidemic surveillance and response system that will be effective, sensitive, coordinated and appropriate.
The STREESCO project aims to
- Implement active epidemiological surveillance of suspected cases in Benin at strategic sites in accordance with the World Health Organization (WHO) protocol, in support of the national strategy for responding to the CoVID-19 virus.
- To strengthen this national strategy by developing a clinico-epidemiological surveillance system in remote areas of Benin (health centre approach) and Burkina Faso (population survey approach).
- To gain a better understanding of the dynamics of the epidemic and its parameters in Africa thanks to a modern biostatistical and geo-epidemiological analysis of the data collected as part of this project.
详细描述
Within the framework of the health systems set up by the Benin health authorities, the project aims to develop, with the intended users, an epidemic surveillance and response system that will be effective, sensitive, coordinated and adapted to a context where resources are limited. Following the start of data collection on 01 March 2021, new reforms to the response strategy against CoVID-19 in Benin have led the investigators to opt for a new strategy in order to meet the objectives of the study. The epidemiological surveillance system will be adapted to the reforms, and data collected and processed prospectively on the dynamics of the epidemic will be collected in CoVID-19 screening centres and in public and private health centres. This is the scientific data needed to issue an early warning signal and enable the healthcare system to respond appropriately. The information system will be based on (i) epidemiological surveys in the field, (ii) virological, serological and antigenic tests, (iii) indicators that will enable action to be monitored, adaptation to the epidemic to be assessed and the response capacity of health structures to be controlled. Analysis (biostatistics, geo-epidemiology) of the data collected will provide useful knowledge for a better understanding of the dynamics of the epidemic. Finally, the project will encourage collaboration between African and European researchers and strengthen the capacity of African institutions to set up an epidemic surveillance system.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Cross Sectional
入排标准
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •All volunteering for COVID-19 screening in health units dedicated to COVID-19 activities.
- •Having benefited from a COVID-19 test.
- •Give free and informed consent to participate in the study.
排除标准
- •Subjects who did not give free and informed consent to participate in the study.
结局指标
主要结局
Proportion of subjects infected with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) by strategic sites (suspected cases, contact cases)
时间窗: 9 months
Total number of subjects with a positive COVID-19 test divided by the total number of volunteers tested in the study.
Average number of contact cases per person infected with SARS-CoV-2 across all the study sites was as follows
时间窗: 9 months
Identify the number of contact cases per subject testing positive for SARS-CoV-2 infection at each of the strategic sites.
Factors associated with SARS-CoV-2 infection in volunteers screened at 03 strategic sites
时间窗: 9 months
Multivariate logistic regression model on sociodemographic, anthropometric, clinical and environmental characteristics of volunteer subjects screened for SARS-CoV-2 infection
Clusters of cases in the area of each strategic site (radius, period, relative risk)
时间窗: 9 months
Analysis of the spatial distribution of positive cases of SARS-CoV-2 infection on each of the strategic sites
Environmental factors associated with incidence rates and hotspots
时间窗: 9 months
Binomial mixed generalized additive model (GAMM)
Basic reproduction number for each strategic site and overall
时间窗: 9 months
Bayesian approach to quantify transmissibility over time during the epidemic at each site and overall.
Factors associated with SARS-CoV-2 infection in health workers at 03 strategic sites
时间窗: 9 months
Multivariate logistic regression model on sociodemographic, anthropometric, clinical and environmental characteristics, prevention and control measures among health workers for SARS-CoV-2 infection.
Intra-district incidence rate on the 03 strategic sites
时间窗: 9 months
Number of positive cases for SARS-CoV-2 infection divided by the total number of the population multiplied by 1000.
Proportion of health workers infected with SARS-CoV-2 by strategic sites
时间窗: 9 months
Total number of health workers with a positive COVID-19 test divided by the total number of health workers tested in the study.
Seroprevalence of SARS-CoV-2 infection among pregnant women in the 3rd trimester in maternity wards of strategic study sites
时间窗: 3 months
Number of pregnant women with a positive Rapid Diagnostic Test (RDT) divided by the total number of pregnant women tested during the study.
Factors associated with SARS-CoV-2 sero-infection in pregnant women in the 3rd trimester at 03 strategic sites
时间窗: 3 months
Multivariate logistic regression model on sociodemographic, anthropometric, clinical, linked to the course of pregnancy and vaccination status characteristics in pregnant women in the 3rd trimester at 03 strategic sites
次要结局
未报告次要终点