Niels is a PhD researcher at the Vrije Universiteit Amsterdam within the department of Health Sciences. His research regards the quantitative study of disease syndemics, with a particular focus on methodological advancements. An exercise therapist by training, Niels obtained his master’s degree in Health Sciences in 2020, with a specialization in International Public Health. Besides his research activities, Niels teaches in epidemiology & (bio)statistics courses on both bachelor and master level.
PhD Researcher | Syndemics, Quantitative Epidemiology & Biostatistics
2025 | Society of Social Medicine Annual Meeting | Bradford, UK
During this conference I briefly talked about my most recent publication in the Journal of Epidemiology and Community Health.
Link to slides 10.1136/jech-2025-SSMabstracts.4
2024 | Amsterdam Public Health Annual Meeting | Amsterdam, NL
During this event I held a poster presentation that presented preliminary findings of the first upcoming publication from my dissertation.
July 2023 - Present | Vrije Universiteit Amsterdam
My research regards the study of syndemics. The theory of syndemics describes two or more co-occurring diseases or health-related outcomes that interact together, resulting in a greater disease burden. Moreover, these disease interactions are found in different frequencies and vary in magnitude between specific populations. The objective of my line of research is to unravel the structural factors that contribute to the HIV Tuberculosis and HIV non-communicable disease syndemics in Sub-Saharan Africa..
August 2020 - July 2023 | Vrije Universiteit Amsterdam
In this position I was responsible for teaching, coordinating and developing introductory level bachelor courses in epidemiology and biostatistics.
February 2020 - July 2020 | MCNV - For health and development in South East Asia
I initially designed a study on nutrition-sensitive agriculture in rural Nong District, Lao PDR, focusing on intermediate outcomes and short-term impact related to nutritional status of school children. When COVID-19 disrupted fieldwork, I adapted the study outline to analyse UNICEF population surveys on exclusive breastfeeding (EBF) trends. My analysis, published in Public Health Nutrition, revealed that region of residence was strongly associated with EBF and that this relationship changed over time. Over the study period, the mountainous northern region consistently showed the highest EBF rates, while the southern region made significant progress, ultimately surpassing the central region. By comparing prevalence maps with Laos’ geography, we demonstrated that mountainous areas—predominantly in Northern Lao PDR—had higher EBF rates, suggesting the influence of cultural or environmental factors. I presented these findings to the Laotian Ministry of Health, providing evidence to support targeted interventions. This experience deepened my expertise in adaptive research, complex survey analysis, and translating complex findings for policy audiences—foundations for my current work in syndemics and health equity. .
2025 | Journal of Epidemiology & Community Health | BMJ
This study explored syndemic interactions between HIV, diabetes, hypertension, and depression in Eswatini, using geospatial analysis and three-way interaction models (WHOPEN@Scale survey data). We found that HIV and diabetes synergistically interact, especially among individuals who are the sole household member aged ≥30 (RERI: 0.46, 95% CI 0.12–0.80) or bereaved (RERI: 0.44, 95% CI 0.02–0.86), with geospatial clustering of comorbid depression near urban centers. While other disease pairs did not show syndemic patterns, comorbidity still worsened health outcomes, underscoring the need for integrated, context-sensitive care—particularly for chronic, stigmatized conditions like HIV and diabetes.
2022 | Public Health Nutrition | Cambridge University Press
This study analyzed trends and determinants of exclusive breastfeeding (EBF) in Lao PDR from 2000 to 2017, using quasi-longitudinal data from national surveys. EBF rates rose from 19% to 45% over the period. Key factors influencing EBF included region, ethnicity, wealth, and child age, with notable improvements in the southern region and among the Lao-Thai ethnic group. Surprisingly, antenatal care visits showed no association with EBF. The findings highlight the importance of monitoring evolving socio-demographic influences to inform public health policy in transitioning countries.
2026 | EpidM | Amsterdam UMC
This course focused on the different patterns and causes of missing data in epidemiological research. It also covered methodologies that can be used as solution for the problem of missing data.
Course webpage2025 | Academic Language Programme | Vrije Universiteit Amsterdam
This course focused on academic writing, specifically geared towards PhD researchers.
Course webpage