Taabo Multigenerational Birth Cohort in Côte d'Ivoire: Protocol for Establishing a Longitudinal Multigenerational Birth Cohort to Guide Health Policy
Bibliographic record
Abstract
Background: A large number of sociodemographic, economic, environmental, and psychosocial changes have contributed to the epidemiological transition of African countries and fundamentally shifted the primary drivers of health. Cohort studies are essential for understanding and improving population health but remain scarce in sub-Saharan Africa. Objective: The main objective of the Taabo Multigenerational Cohort (MGC) project is to establish a large, regionally representative multigenerational cohort. The cohort will be established within the Taabo Health and Demographic Surveillance System (HDSS) and used for studying the life course and intergenerational dynamics of disease in the south-central part of Côte d'Ivoire. Methods: The Taabo MGC project focuses on children born between January 1, 2024, and December 31, 2025, in the Taabo HDSS, as well as their parents, grandparents, and great-grandparents. Eligible women and their children are enrolled during pregnancy, and women who do not report during pregnancy are enrolled after the birth. After enrollment of pregnant women, biological ancestors of the index child who are still alive and living in the study area are recruited into the cohort. The cohort is expected to enroll at least 3000 pregnant women and their children, as well as the infants' fathers, grandparents, and great-grandparents, with an expected sample size of approximately 15,000 individuals. To ensure the entire local population is covered in this study, we will also include 100 adults without children. The baseline assessments cover data on demographics, household wealth, tobacco and alcohol consumption, diet, physical activity, health history, quality of life, environmental exposures, depression, anxiety, stress, resilience, obstetric history, birth outcomes, cognitive function, and, for older adults, physical performance. We will also collect anthropometric measurements, blood pressure, and hemoglobin levels and check for Plasmodium infection (the causative agent of malaria) among all participants. Results: As of December 2024, the Taabo MGC project has enrolled 3239 women and 6501 family members. The enrollment of pregnant women and their children's biological ancestors will continue until the end of 2025, aiming to reach at least 15,000 adults. Conclusions: The Taabo MGC project is designed to become one of the largest cohort studies in the region. Once established, the Taabo MGC project should become a platform for future observational and interventional studies at the local level and contribute to the much-needed evidence base on lifetime disease risk in this part of Côte d'Ivoire. We hope that our work will stimulate research and guide health policy elsewhere in sub-Saharan Africa.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.020 | 0.021 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.037 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".