Modeling the Impact of Inequalities on the Spread of Infectious Diseases
Visiting speaker
Nicolò Gozzi
Senior Research Scientist, ISI Foundation
Past Talk
Hybrid
Thursday
Oct 19, 2023
Watch video
11:00 am
EST
Virtual
177 Huntington Ave.
11th floor
11th floor
Devon House
58 St Katharine's Way
London E1W 1LP, UK
58 St Katharine's Way
London E1W 1LP, UK
The COVID-19 pandemic has underscored the profound influence of social, economic, and demographic disparities on the transmission dynamics of infectious diseases. In this presentation, I will discuss three research papers that delve into the multifaceted impact of various inequalities on the dissemination of SARS-CoV-2. The presented research will cross diverse spatial scales, pandemic phases, and dimensions of inequality, including social inequalities, digital divide, and Global North/South division. The crucial role of data and computational methodologies in gaining insights into how inequality-driven factors have shaped the course of the pandemic will also be discussed. The lessons learnt from similar approaches are a step towards shaping more effective and equitable strategies aimed at mitigating future disease outbreaks.
About the speaker
About the speaker
Nicolò Gozzi is a Senior Research Scientist at ISI Foundation, in Turin, Italy. He holds a Ph.D. from the University of Greenwich in London, UK, where he specialized in modeling the interplay between epidemics and human behavior using data and computational models. With a strong background in interdisciplinary research, Dr. Gozzi combines his expertise in epidemiology, computational modeling, and data analysis to develop innovative models that integrate real-world data to gain insights into the spread and control of epidemics. During the COVID-19 Pandemic, Dr. Gozzi has contributed to numerous research projects aimed at understanding and predicting the impact of SARS-CoV-2 on public health.
Nicolò Gozzi is a Senior Research Scientist at ISI Foundation, in Turin, Italy. He holds a Ph.D. from the University of Greenwich in London, UK, where he specialized in modeling the interplay between epidemics and human behavior using data and computational models. With a strong background in interdisciplinary research, Dr. Gozzi combines his expertise in epidemiology, computational modeling, and data analysis to develop innovative models that integrate real-world data to gain insights into the spread and control of epidemics. During the COVID-19 Pandemic, Dr. Gozzi has contributed to numerous research projects aimed at understanding and predicting the impact of SARS-CoV-2 on public health.
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