Browse by Project Publications

Scherbov, S. ORCID: https://orcid.org/0000-0002-0881-1073, Sanderson, W., & Andruchowitz, S. (2020). Aging Demographic Data Sheet 2020. IIASA , Laxenburg, Austria.

Tyrovolas, S., Panaretos, D., Daskalopoulou, C., Gine-Vazquez, I., Niubo, A.S., Olaya, B., Bobak, M., Prince, Ma., et al. (2020). Alcohol Drinking and Health in Ageing: A Global Scale Analysis of Older Individual Data through the Harmonised Dataset of ATHLOS. Nutrients 12 (6) e1746. 10.3390/nu12061746.

Sanderson, W.C. & Scherbov, S. ORCID: https://orcid.org/0000-0002-0881-1073 (2020). Choosing between the UN’s alternative views of population aging. PLOS ONE 15 (7) e0233602. 10.1371/journal.pone.0233602.

Anagnostou, P., Tasoulis, S., Vrahatis, A. G., Georgakopoulos, S., Prina, M., Ayuso-Mateos, J. L., Bickenbach, J., Bayes-Marin, I., et al. (2021). Enhancing the Human Health Status Prediction: The ATHLOS Project. Applied Artificial Intelligence 1-23. 10.1080/08839514.2021.1935591.

Scherbov, S. ORCID: https://orcid.org/0000-0002-0881-1073 & Gietel-Basten, S. (2020). Measuring inequalities of development at the sub-national level: From the human development index to the human life indicator. PLOS ONE 15 (4) e0232014. 10.1371/journal.pone.0232014.

Marois, G. ORCID: https://orcid.org/0000-0002-2701-6286 & Aktas, A. (2020). Projecting health trajectories in Europe using microsimulation. IIASA Working Paper. Laxenburg, Austria: WP-20-004

Marois, G. ORCID: https://orcid.org/0000-0002-2701-6286 & Aktas, A. (2021). Projecting health-ageing trajectories in Europe using a dynamic microsimulation model. Scientific Reports 11 (1) e1785. 10.1038/s41598-021-81092-z.

Philipov, D. & Scherbov, S. ORCID: https://orcid.org/0000-0002-0881-1073 (2020). Subjective length of life of European individuals at older ages: Temporal and gender distinctions. PLOS ONE 15 (3) e0229975. 10.1371/journal.pone.0229975.

Barmpas, P., Tasoulis, S., Vrahatis, A.G., Georgakopoulos, S.V., Anagnostou, P., Prina, M., Ayuso-Mateos, J.L., Bickenbach, J., et al. (2022). A divisive hierarchical clustering methodology for enhancing the ensemble prediction power in large scale population studies: the ATHLOS project. Health Information Science and Systems 10 (1) e6. 10.1007/s13755-022-00171-1.