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PROJECTS
MASTER'S THESIS
November 2025 : The Interplay of Digital Access and Scioeconomic Inequalities on Maternal Health Services Utilization in Togo Using Multiple Indicators Cluster Survey(MICS): A survey weighted analysis
Lead Author
Description: My Master thesis, using Togo’s 2017 MICS seondary data to examine how internet, mobile use and traditional media exposure, along with key sociodemographic and economic factors (age, parity, education, wealth, residence, and region), shape maternal health-seeking behaviours, namely: attending at least four ANC visits, delivering in a health facility with skilled assistance, and receiving PNC within 48 hours of birth using Survey-weighted bivariate and multivariable logistic regression along with sensitivity and interaction analyses
PLATFORM (WEBSITE)
2025 : Stat-Epi Hub: Your All-in-One Biostatistics & Epidemiology Toolkit
CO-Developper
Description: An interactive platform that brings together all the essential steps for biostatistics and epidemiology analyses, featuring ready-to-use codes (Python, R, SPSS, SAS), step-by-step guides, visualizations, and preloaded datasets for hands-on practice. Simplify your research, save time, and access indispensable tools for students, researchers, and public health professionals.
RESEARCH PROJECT
December 2024: HIV/AIDS and Inequality: Exploring Economic Correlations, Regional and Gendered Disparities Worldwide-RSTUDIO
Co-author
Description: We used global data from UNAIDS and the World Bank for 115 countries to analyze how economic, gender, and geographic factors influence HIV prevalence and AIDS-related mortality. We utilized Spearman correlations, Kruskal-Wallis tests, and geospatial maps to analyze disparities among GDP categories. We found women have a higher global prevalence (1.48% vs. 1.13% for men), and low-income countries have significantly higher infection rates than high-income countries (p = .0005).The conclusion calls for gender-sensitive programs and stronger health systems to reduce inequities in HIV care.
Co-Developer
Descrption: App designed to accelerate the learning of English by focusing on mastering English phonetics and providing an ideal environment for practice.
RESEARCH PROJECT
October 2025 : Dynamic Prediction of Sepsis at 6, 12, 18 and 24 Hours Post-ICU Admission in Respiratory-Supported Critically ill Patients Using Time-Series and Landmark Analysis
Co-author
Description: Developed and validated a landmark-based dynamic machine learning (LR, RF, XGBoost) models for near real-time sepsis prediction in respiratory-supported ICU patients. The model achieved high discrimination (AUROC up to 0.99), identifying hypoxemia and tachypnea as key risk factors, and provides a framework for early, interpretable clinical intervention.
RESEARCH PROJECT
2024 : Child Immunization Coverage Across Socioeconomic Groups In India
Lead author
A secondary data analysis study in India using NFHS-5 big dataset, Conducted as comparative study between
Tamil Nadu and Nagaland. I have examined disparities in full immunization coverage and identified key
socioeconomic determinants influencing vaccine uptake using survey-weighted bivariate and multivariable logistic regression.
UNDERGRADUATE THESIS
2021 : Knowledge, Attitudes, and Practices on Child Vaccination in Agoè-Nyivé 1 in Togo
Principal author
Description: Undergraduate project in TOGO, using primary data analysis, I have Assessed community awareness, perceptions, and behaviors toward childhood immunization to identify barriers and propose strategies for improving vaccine acceptance.
PUBLICATIONS
Kandjoni, Y., Tchakondo, S., Assogba, A.S. et al. Bridging the immunisation gap: socioeconomic and geographic drivers of pediatric immunisation disparities between different Indian states. BMC Pediatr (2026). https://doi.org/10.1186/s12887-026-06822-6
Tugbeh RS, Veliah G, Jennifer HG, Shaw TEB, Tchakondo S, Gayi KS, Assogba AS, Kandjoni Y. Geographic variation in malaria prevalence among children under five in coastal and inland counties of Liberia: analysis of the 2022 Malaria Indicator Survey. Malar J. 2026 Jan 15;25(1):92. doi: 10.1186/s12936-026-05784-5. PMID: 41540443; PMCID: PMC12892794.
Yendouname Kandjoni, Samadou Tchakondo, Sangénis Assogba Ayao et al. The Interplay of Digital Access and Socioeconomic Inequality in Maternal Health Service Utilization in Togo: Evidence from the Multiple Indicator Cluster Survey using Survey-Weighted Analysis, 12 February 2026, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-8635479/v1] under revision prepublication at BMC PUBLIC HEALTH
Selassi Komi Gayi, Prerna Priyam, Yendouname Kandjoni et al. Functional attrition and Quality of Life in Advanced Cancer Trial: modeling patients’ trajectories and evaluating the impact of missing outcome data handling on quality-of-life predictive model performance, 19 January 2026, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-8407124/v1] Under review at BMC Medical research methodology
Yendouname Kandjoni, Samadou Tchakondo, Sangénis Assogba Ayao et al. Bridging the Immunisation Gap: Socioeconomic and Geographic Drivers of Pediatric Immunisation Disparities between High-performing and Underperforming Indian States, 06 January 2026, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-8398905/v1] under review at BMC peadiatrics
Samadou Tchakondo, Muthuperumal Prakash, Yendouname Kandjoni et al. Socio-demographic and contextual drivers of insecticide-treated net (ITN) utilization among women of reproductive age in Togo: a Bayesian multilevel analysis of the 2017 Togo Malaria Indicator Survey, 12 March 2026, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-8849056/v1] Under review at BMC Public Health
Komi Selassi Gayi, Afiavi Carine Edwige Trenou, Yendouname Kandjoni et al. Beyond Economic Determinism: Epidemic Scale, Gender Disparities, and Population-Level Health System Outcomes in the Global Human Immunodeficiency Virus Response (2024), 08 March 2026, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-8841074/v1] Under review at BMC Public Health
Ayao Sangenis Assogba, Jennifer H. Gladius, Yendouname Kandjoni et al. Dynamic Landmark-Based Prediction of Sepsis Using Interpretable and Balanced Machine Learning Models in Respiratory-Supported Critically ill Patients, 24 March 2026, PREPRINT (Version 1) available at Research Square [https://doi.org/10.21203/rs.3.rs-8737800/v1]
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