Modeling the Impact of Inequalities on the Spread of Infectious Diseases
Visiting speaker
Nicolò Gozzi
Senior Research Scientist, ISI Foundation
Past Talk
Hybrid talk
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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