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Completed

NCT Number: NCT06170320

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

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.

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Key information

Conditions

COVID-19 COVID-19 Pandemic Coronaviridae Infections Coronavirus Infections Infections Lung Diseases Nidovirales Infections Pneumonia Pneumonia, Viral RNA Virus Infections Respiratory Tract Diseases Respiratory Tract Infections SARS CoV 2 Infection Virus Diseases

Sex eligibility

All sexes

Study type

Observational

Primary location

Institut de Recherche Clinique du Bénin

Abomey-Calavi, Atlantique Department, 04BP1114, Benin

About this study

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.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

Primary outcomes

  1. 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.

  2. 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.

  3. 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

  4. 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

  5. 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.

  6. Environmental factors associated with incidence rates and hotspots

    Time frame: 9 months

    Binomial mixed generalized additive model (GAMM)

  7. 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.

  8. 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. 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.

  10. 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.

  11. 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

Sponsors and collaborators

Lead sponsor

Institut de Recherche pour le Developpement

Other Gov

Collaborators

  • Barcelona Institute for Global Health
  • European and Developing Countries Clinical Trials Partnership (EDCTP)
  • Institut de Recherche Clinique du Benin
  • Ministère de la Santé - Bénin
  • Ministère de la Santé et de Hygiène Publique - Burkina Faso

Registry information

Official study title

STREngthening Epidemiological Surveillance in Benin and Burkina Faso for an Effective Response to COVID-19

Acronym: STREESCO

Important dates

Study start
2021
Primary completion
2022
Study completion
2022
First posted
Dec 14, 2023
Registry last updated
Dec 21, 2023

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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