About him
About him
KANDJONI Yendouname is a quantitative epidemiologist and biostatistics MSc candidate at SRM Institute of Science and Technology, Chennai, Tamil Nadu, India. He has a strong foundation in fundamental mathematics, statistical inference, and applied data science, focused on modelling, population-level analysis, and evidence-based public health decision-making.
His work emphasises advanced epidemiologic and statistical methods, including survey-weighted analysis, applied multivariate statistical analysis and survival models, Bayesian and multilevel modelling, machine learning, and spatial analysis, primarily using R, Python, SAS, STATA, SPSS and QGIS. He work extensively with large-scale population datasets such as DHS, MICS, and NFHS, translating complex data into interpretable, policy-relevant evidence for health systems and population health planning.
His research applies these quantitative approaches to questions in maternal and child health, immunisation equity, digital access, and infectious disease epidemiology, with contributions spanning disease-risk prediction models and cross-country and subnational analyses of health inequality. His academic training is supported by a fully funded government merit-based scholarship.
He also brings prior experience in clinical care, having earned a nursing degree from ENAM Lomé, Togo (2021), and worked in hospital settings from 2022 to 2023. This background informs without defining his current work, grounding quantitative research in real-world public health contexts.
He is committed to bridging data, policy, and practice to support equitable and resilient health systems, particularly in underserved settings, and he aims to contribute to disease modelling, epidemiological surveillance, and data-driven global health policy.
His scientific 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]