ClinicalTrials.gg
CompletedNCT06170320STREESCOUpdated Dec 21, 2023

STREngthening COronavirus Disease 2019 (COVID-19) Surveillance in Africa

An observational study in COVID-19, SARS CoV 2 Infection and COVID-19 Pandemic, sponsored by Institut de Recherche pour le Developpement. Completed at 1 site in Benin. Per ClinicalTrials.gov, last updated 2023-12-21.

Sponsored by Institut de Recherche pour le Developpement · Observational

Study type
Observational
Model
Other
Time perspective
Cross-sectional
Enrollment
7,000
Sex
All
01

Study summary

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.
Read the detailed description

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.

02

Conditions studied

  • COVID-19
  • SARS CoV 2 Infection
  • COVID-19 Pandemic

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Keywords

  • COVID-19
  • Epidemiological surveillance
  • Benin
  • strategic sites
  • dynamics
03

In context

COVID-19

7,990 studies on the registry are indexed under COVID-19; 466 are open to participants now.

This study's enrollment of 7,000 is above the median of 268 across 3,208 observational studies indexed under COVID-19.

Browse COVID-19 studies →

Lead sponsor

Institut de Recherche pour le Developpement is the lead sponsor of 49 studies on the registry; 4 are open to participants now.

Counted across the registry records on this site, refreshed daily.

04

Who can participate

Ages eligible
Child (0–17), Adult (18–64), Older adult (65+)
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

This surveillance was carried out in 03 strategic sites: in Cotonou, the economic capital, in Allada, a town on the border of the cordon sanitaire set up in March 2020, and in Natitingou, a town in northern Benin outside the cordon sanitaire. It was based in the health units involved in the response to COVID-19 at the 03 strategic sites. Initially, we included volunteers for COVID-19 screening, contact cases of positive subjects, and health workers present in the centres. Secondly, The study population consisted of pregnant women in the third trimester (≥ 28 weeks) of pregnancy seen for antenatal care (ANC) in the study maternity units of the 03 strategic sites were surveyed in order to describe their serological status with respect to SARS-CoV-2 infection.

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

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 to participate in the study.

Exclusion criteria

Exclusion Criteria:

  • Subjects who did not give free and to participate in the study.
Terms in these criteria, in plain language(1)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

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05

Study design

Observational model
Other
Time perspective
Cross-sectional
Enrollment
7,000 participants (actual)
Patient registry
No
06

What researchers measure

Primary outcomes

  1. Proportion of subjects infected with Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) by strategic sites (suspected cases, contact cases)

    Total number of subjects with a positive COVID-19 test divided by the total number of volunteers tested in the study.

    Time frame: 9 months

  2. Average number of contact cases per person infected with SARS-CoV-2 across all the study sites was as follows

    Identify the number of contact cases per subject testing positive for SARS-CoV-2 infection at each of the strategic sites.

    Time frame: 9 months

  3. Factors associated with SARS-CoV-2 infection in volunteers screened at 03 strategic sites

    Multivariate logistic regression model on sociodemographic, anthropometric, clinical and environmental characteristics of volunteer subjects screened for SARS-CoV-2 infection

    Time frame: 9 months

  4. Clusters of cases in the area of each strategic site (radius, period, relative risk)

    Analysis of the spatial distribution of positive cases of SARS-CoV-2 infection on each of the strategic sites

    Time frame: 9 months

  5. Intra-district incidence rate on the 03 strategic sites

    Number of positive cases for SARS-CoV-2 infection divided by the total number of the population multiplied by 1000.

    Time frame: 9 months

  6. Environmental factors associated with incidence rates and hotspots

    Binomial mixed generalized additive model (GAMM)

    Time frame: 9 months

  7. Basic reproduction number for each strategic site and overall

    Bayesian approach to quantify transmissibility over time during the epidemic at each site and overall.

    Time frame: 9 months

  8. Proportion of health workers infected with SARS-CoV-2 by strategic sites

    Total number of health workers with a positive COVID-19 test divided by the total number of health workers tested in the study.

    Time frame: 9 months

  9. Factors associated with SARS-CoV-2 infection in health workers at 03 strategic sites

    Multivariate logistic regression model on sociodemographic, anthropometric, clinical and environmental characteristics, prevention and control measures among health workers for SARS-CoV-2 infection.

    Time frame: 9 months

  10. Seroprevalence of SARS-CoV-2 infection among pregnant women in the 3rd trimester in maternity wards of strategic study sites

    Number of pregnant women with a positive Rapid Diagnostic Test (RDT) divided by the total number of pregnant women tested during the study.

    Time frame: 3 months

  11. Factors associated with SARS-CoV-2 sero-infection in pregnant women in the 3rd trimester at 03 strategic sites

    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

    Time frame: 3 months

07

Study locations

1 site
  • Institut de Recherche Clinique du Bénin
    Abomey Calavi, Atlantique 04BP1114, Benin
08

References and documents

Individual participant data

Plan to share: No

No publications or documents are linked to this record.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Dec 21, 2023, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT06170320
Lead sponsor
Institut de Recherche pour le Developpement
Collaborators
European and Developing Countries Clinical Trials Partnership (EDCTP), Institut de Recherche Clinique du Bénin, Barcelona Institute for Global Health, Ministère de la Santé - Bénin, Ministère de la Santé et de Hygiène Publique - Burkina Faso
Responsible party
Sponsor
First posted
Dec 14, 2023
Start date
Mar 1, 2021
Primary completion
Jul 30, 2022
Completion
Jul 30, 2022
Last update
Dec 21, 2023

Study contacts

Achille MASSOUGBODJI
principal investigator · Institut de Recherche Clinique du Bénin
Gilles COTTRELL
study director · Institut de Recherche pour le Développement - France
Raquel GONZALEZ
study director · Fundación Privada Instituto de Salud Global Barcelona
Anges YADOULETON
study chair · Ministère de la Santé - Bénin
Boukary OUEDRAOGO
study chair · Ministère de la Santé - Burkina Faso

Oversight

FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is completed, as verified in Dec 2023. You cannot join it, but the record below documents what was studied.

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