COVID CRISIS LAB Seminar Series 2023 — Fall edition
Chiara Poletto, “Interpreting uncoherent data during the COVID-19 pandemic: the case of SARS-CoV-2 Alpha and influenza at the global scale”
The SARS-CoV-2 pandemic has shown the threat modern emerging viruses pose to society. Efficient epidemic management requires situational awareness and knowledge of the drivers of virus propagation. Still, data provide an incoherent picture of viral spreading dynamics. I will focus on the global scale and show how models allow combining diverse data sources to reconstruct epidemic patterns and drivers. In particular, I will discuss recent modeling works to reconstruct the early global dissemination of the SARS-CoV-2 Alpha variant and identify the drivers of worldwide influenza decline during the COVID-19 pandemic.
Chiara Poletto is an Associate Professor at the Department of Molecular Medicine at the University of Padova. She works on the spreading of infectious diseases seen as a complex system phenomenon. Epidemics are mediated by sociodemographic and environmental factors acting at different scales. The mathematical and computational modeling of this complex interdependence to understand the epidemic drivers is at the center of her research work. Within this broad context, she is dedicating increasing attention to emerging pathogen events, outbreak analysis, and modeling to inform the design of interventions. Poletto received the Junior Scientific Award of the Complex Systems Society for extraordinary scientific achievements. Her studies on COVID-19 pandemic have translated into expert advice for public health authorities.
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