BCGS Talk, Friday September 25, 2020
Speaker: Sergio Espinosa, Ph.D, SEGeoscience & Exploration
Title: Multivariate Statistical Risk Analysis during the COVID-19 Pandemic
Date/Time: Friday, September 25, 2020 @ 4:30pm PST
Location: Online Webinar
Abstract:
“Multivariate Statistical Risk Analysis during the COVID-19 Pandemic”
Sergio Espinosa, Ph.D, SEGeoscience & Exploration
The risk of a disaster can be quantified with the probability of occurrence of the catastrophic event within a time period (UNDRR).
This study examines the risk of death from COVID-19 of a healthy person during the on-going pandemic caused by the new coronavirus SARS-CoV-2.
In any Risk (R) assessment, e.g. earthquake-related, three elements are always analyzed:
- Hazard (H)
- Exposure (E)
- Vulnerability (V)
Those three elements relate to Risk as follows: R = H + E + V
This means, the higher the Hazard level (H), the higher the Exposure (E), and the higher the Vulnerability (V) of a single person or of a community, the higher will be the Risk (R) of dying from the disease.
Furthermore, the probability of falling critically ill and from eventually dying from COVID-19 depends firstly on the probability of getting infected. So, these two different risks, of firstly getting infected (R1) and of secondly dying (R2), is described separately, starting with a single healthy non-infected person, called the susceptible host, who is exposed to the new coronavirus SARS-CoV-2.
Bio:
Sergio studied Applied Geophysics at the School of Mines “Bergakademie” in Freiberg, Germany completing a BSc (Hauptstudium) in 1988 and a MSc (Diplom) in 1989.
Besides being a mineral exploration geophysicist with almost 25 years of experience working for major and junior mining companies across various commodities, deposit styles and in diverse geological settings, Sergio has also a background in Seismology (PhD 1993, Freiberg, Germany), with also some training in Volcanology (e.g. Canary Islands) and Meteorology (FU Berlin), as well as a postdoc in Earthquake Hazards (1994/1995, GFZ Potsdam, Germany).