CSCAR/MIDAS Workshop on Data, Methodology, and Covid

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Zoom link:  https://umich.zoom.us/j/99072338239

 

The second CSCAR/MIDAS workshop on Data, Methodology, and Covid will focus on Covid testing and mortality data from the Covid Tracking Project (covidtracking.com) and Worldometer (worldometer.com).  We will develop insight into how the reported PCR testing data from various US states, and from different countries, can be informative about Covid deaths in those localities.  We will also discuss some of the challenges of estimating the “infection fatality ratio” with this type of data, and conduct some sensitivity analyses to see what the IFR would be in different settings.

The workshop will use intermediate statistical methods (to be reviewed in the workshop), and computations will be done in Python.  Notebooks and links to data will be provided.

MIDAS Special Seminar: Qianying Lin – MIDAS Data Science Fellow

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Qianying Lin

Michigan Institute for Data Science – Data Science Fellow

VIEW RECORDING

COVID-19 outbreak in Wuhan, China: in retrospect and in prospect

Since first confirmation in December 2019, the novel coronavirus diseases (COVID-19) infected more than 50,000 people and claimed over 2000 lives in Wuhan, China. It was transmitted across the whole country shortly, and now swept the world by causing more 20,000 infections in countries other than China. Using official reported cases and assuming changing reporting ratio, we investigated the early stage of the epidemic of COVID-19 in Wuhan and analysed its transmissibility. We then built up a conceptual model and incorporated the zoonotic introduction, emigration, individual reaction, and governmental action to simulate the trends of the outbreak in Wuhan and predicted the disease would be completely controlled by the end of April under current policies. These studies provide insights into not only the characteristics of COVID-19 itself, but the impact of governmental actions.

Read Global Reach’s article here. Read full transcript here.

For more information on MIDAS or the Seminar Series, please contact midas-contact@umich.edu.