STREngthening COronavirus Disease 2019 (COVID-19) Surveillance in Africa (STREESCO)
STREngthening Epidemiological Surveillance in Benin and Burkina Faso for an Effective Response to COVID-19
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.
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
Study Type
Study Type
Enrollment (Actual)
Enrollment
Contacts and Locations
Study Locations
-
-
Atlantique
-
Abomey Calavi, Atlantique, Benin, 04BP1114
- Institut de Recherche Clinique du Bénin
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- 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.
Exclusion Criteria:
- Subjects who did not give free and informed consent to participate in the study.
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Average number of contact cases per person infected with SARS-CoV-2 across all the study sites was as follows
Time Frame: 9 months
|
Identify the number of contact cases per subject testing positive for SARS-CoV-2 infection at each of the strategic sites.
|
9 months
|
|
Factors associated with SARS-CoV-2 infection in volunteers screened at 03 strategic sites
Time Frame: 9 months
|
Multivariate logistic regression model on sociodemographic, anthropometric, clinical and environmental characteristics of volunteer subjects screened for SARS-CoV-2 infection
|
9 months
|
|
Clusters of cases in the area of each strategic site (radius, period, relative risk)
Time Frame: 9 months
|
Analysis of the spatial distribution of positive cases of SARS-CoV-2 infection on each of the strategic sites
|
9 months
|
|
Intra-district incidence rate on the 03 strategic sites
Time Frame: 9 months
|
Number of positive cases for SARS-CoV-2 infection divided by the total number of the population multiplied by 1000.
|
9 months
|
|
Basic reproduction number for each strategic site and overall
Time Frame: 9 months
|
Bayesian approach to quantify transmissibility over time during the epidemic at each site and overall.
|
9 months
|
|
Proportion of health workers infected with SARS-CoV-2 by strategic sites
Time Frame: 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.
|
9 months
|
|
Factors associated with SARS-CoV-2 infection in health workers at 03 strategic sites
Time Frame: 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.
|
9 months
|
|
Factors associated with SARS-CoV-2 sero-infection in pregnant women in the 3rd trimester at 03 strategic sites
Time Frame: 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
|
3 months
|
|
Proportion of subjects infected with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) by strategic sites (suspected cases, contact cases)
Time Frame: 9 months
|
Total number of subjects with a positive COVID-19 test divided by the total number of volunteers tested in the study.
|
9 months
|
|
Environmental factors associated with incidence rates and hotspots
Time Frame: 9 months
|
Binomial mixed generalized additive model (GAMM)
|
9 months
|
|
Seroprevalence of SARS-CoV-2 infection among pregnant women in the 3rd trimester in maternity wards of strategic study sites
Time Frame: 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.
|
3 months
|
Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Achille MASSOUGBODJI, Institut de Recherche Clinique du Bénin
- Study Director: Gilles COTTRELL, Institut de Recherche pour le Développement - France
- Study Director: Raquel GONZALEZ, Fundación Privada Instituto de Salud Global Barcelona
- Study Chair: Anges YADOULETON, Ministère de la Santé - Bénin
- Study Chair: Boukary OUEDRAOGO, Ministère de la Santé - Burkina Faso
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Actual)
Primary Completion
Study Completion (Actual)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- RIA2020EF-2923
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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