Eleftherios Meletis, DVM

Laboratory of Epidemiology, Biostatistics & Artificial Intelligence

Faculty of Public and One Health

University of Thessaly

Karditsa, Greece

Topic of interest: Epidemiology and Biostatistics (human/vet)

BAVBD contribution:

Development and application of state-of-the-art methods and artificial intelligence techniques for evaluation of diagnostic tests, prevalence estimation and early warning tools for early prediction.

Relevant references:

1. Meletis, E., Poulakida, I., Perlepe, G., Katsea, A., Pateras, K., Boutlas, S., ... & Kostoulas, P. (2024). Early warning of potential epidemics: A pilot application of an early warning tool to data from the pulmonary clinic of the university hospital of Thessaly, Greece. Journal of Infection and Public Health.

2. Meletis, E., Sakhaee, E., & Kostoulas, P. (2023). Bayesian true prevalence estimation of brucellosis in sheep, goats, cattle and camels in southeast regions of Iran. Zoonoses and Public Health.

3. Costa, J. P., Meireles, P., Meletis, E., Kostoulas, P., & Severo, M. (2024). Estimates of sensitivity and specificity of serological tests for SARS-CoV-2 specific antibodies using a Bayesian latent class model approach. Journal of Clinical Epidemiology, 111267.

4. Banović, P., Mijatović, D., Bogdan, I., Simin, V., Meletis, E., Kostoulas, P., ... & Cabezas-Cruz, A. (2023). Evidence of tick-borne encephalitis virus neutralizing antibodies in Serbian individuals exposed to tick bites. Frontiers in Microbiology, 14.