Feels right, but it´s so wrong: The impact of empirical data analysis on public health pratical intervention

Maíra Aguiar

Basque Center for Applied Mathematics (BCAM)

ZOOM

22nd November 2023 (Wednesday) – 16h:00m

Abstract:

Dengue fever epidemiology dynamics shows large fluctuations of disease incidence and mathematical models describing transmission of disease ultimately aim to be used as predictive tools to evaluate the introduction of intervention strategies. In this talk, I will present three examples highlighting the potential consequences of erroneous data analysis, demonstrating how misinterpretation of data can contribute to the flawed and ineffective public health interventions, highlighting the critical importance of accurate data analysis in guiding informed decision-making in public health strategies for disease control.

Seminário no âmbito do Mestrado em Bioestatística