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

BAVBD contribution:

Evaluation of diagnostic tests

Bayesian Latent Class Models for the evaluation of diagnostic tests, true prevalence estimation and poof of disease freedom

Early warning tools

Relevant references:

Kostoulas, P., Meletis, E., Pateras, K., Eusebi, P., Kostoulas, T., Furuya-Kanamori, L., ... & Walter, S. D. (2021). The epidemic volatility index, a novel early warning tool for identifying new waves in an epidemic. Scientific Reports, 11(1), 23775.

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.

Kostoulas, P., Eusebi, P., & Hartnack, S. (2021). Diagnostic accuracy estimates for COVID-19 real-time polymerase chain reaction and lateral flow immunoassay tests with bayesian latent-class models. American journal of epidemiology, 190(8), 1689-1695.