ADS & AMDS Webinar | Different Scenarios for Exit Strategies in COVID-19
Details
Amsterdam Data Science (ADS) and Amsterdam Medical Data Science (AMDS) are co-hosting a new lecture series in collaboration with Elsevier and Google to explore ๐ง๐ต๐ฒ ๐ฃ๐ผ๐๐ฒ๐ฟ ๐ฎ๐ป๐ฑ ๐ช๐ฒ๐ฎ๐ธ๐ป๐ฒ๐๐ ๐ผ๐ณ ๐๐ฎ๐๐ฎ ๐ฎ๐ป๐ฑ ๐ ๐ผ๐ฑ๐ฒ๐น๐น๐ถ๐ป๐ด ๐ถ๐ป ๐๐ข๐ฉ๐๐-๐ญ๐ต.
Aims:
- Showcase the power and limitations of data centred approaches
- Jointly understand and learn from the different COVID approaches and views
- Shape the time for Data Science research/education after the lock-down
๐๐ฒ๐ฐ๐๐๐ฟ๐ฒ ๐ญ: ๐๐ถ๐ณ๐ณ๐ฒ๐ฟ๐ฒ๐ป๐ ๐๐ฐ๐ฒ๐ป๐ฎ๐ฟ๐ถ๐ผ๐ ๐ณ๐ผ๐ฟ ๐ฒ๐
๐ถ๐ ๐๐๐ฟ๐ฎ๐๐ฒ๐ด๐ถ๐ฒ๐ ๐ถ๐ป ๐๐ข๐ฉ๐๐-๐ญ๐ต
๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ฒ
12:00 Welcome & Introduction
12:05 Talk #1: Bert Slagter + Q&A
12:30 Talk #2: Edwin van den Heuvel + Q&A
12:55 Panel discussion
13:15 End!
๐ ๐ผ๐ฑ๐ฒ๐ฟ๐ฎ๐๐ผ๐ฟ๐
Marc Salomon (ABS UvA, ADS) and Mark Hoogendoorn (VU, AMDS)
๐ฆ๐ฝ๐ฒ๐ฎ๐ธ๐ฒ๐ฟ๐
๐๐ฒ๐ฟ๐ ๐ฆ๐น๐ฎ๐ด๐๐ฒ๐ฟ (founder Procurios)
The COVID-19 pandemic is a complex system with many unknowns and uncertainties. There is data, but is it reliable? And how do we make decisions when data (and evidence) is incomplete or contradictory?
We'll visit three phases of the pandemic from this perspective:
- Estimating required ICU capacity in the early stages of lockdown
- Constructing a reliable exit plan
- Building a dashboard that minimizes the risk of a second wave
๐๐ฑ๐๐ถ๐ป ๐๐ฎ๐ป ๐ฑ๐ฒ๐ป ๐๐ฒ๐๐๐ฒ๐น (professor in statistics TU Eindhoven)
Title: Predictions and changes in spread of the corona virus in different countries โ data-oriented approaches
During the beginning of the COVID-19 crisis in the Netherlands, we started to monitor and predict the number of infections and deaths in the short-term and long-term in several countries. Our analysis are based on the official reported numbers from governmental institutes, knowing that this type of data could be non-representative for the population of a country. Therefore, we used different logistic growth curves and epidemic disease models to obtain a better understanding of the daily information and temporal changes present in the data. Based on our data-oriented approaches we tried to determine as soon as possible when countries reached their turning point in virus spread and we tried to help determine the required hospital intensive care capacity with our predictions. Furthermore, we could identify which governmental measures had an impact on the โeffective contact rateโ within a country.
Date: Thursday 11 June 2020
Time: 12:00-13:15
https://us02web.zoom.us/j/83197431349