COVID 19 Data Forum - 05.14.2020
Channel: R Consortium
Date: 22/05/2020

COVID-19 Data Forum: A series of multidisciplinary, online meetings for topic experts to focus on data-related aspects of the scientific response to the pandemic, including data access and sharing, essential data resources for analysis, and how we can best support decision making. The webinars are public and all are welcome.

https://covid19-data-forum.org/

In the COVID-19 Data Forum, members of the medical community meet to discuss COVID-19-related topics. The presentations include Modeling COVID-19 Spread and Control by Dr. Alison L Hill, Collecting and visualizing COVID-19 case count data from multiple sources by Ryan Hafen, Spatial and space-time data on COVID-19 by Orhun Aydin, Ph.D., and Data in the COVI-19 pandemic by Dr. Noam Ross.

Dr. Alison L Hill with the Department of Organismic and Evolution Biology at Harvard University began by presenting on Modeling COVID-19 spread and control. Dr. Hill covered the role of models, data needs, transmission networks, interventions, and other data topics. After, Ryan Hafen, Data Scientist at Preva Group presents on collecting data and visualizing COVID-19 cases using multiple sources. In this presentation, he covers challenges with data, gives examples of both best and “bearable” practices in his experience, and shares tools for case counts using data samples. Dr. Orhun Aydin with the Environmental Systems Research Institute then follows with Spatial and space-time data on COVID-19. Dr. Aydin covers steps taken for spatial analysis of covid, challenges, spatial data API’s, and R, along with resources.  Dr. Noam Ross with EcoHealth Alliance gives the final presentation on Data in the COVID-19 pandemic. Dr. Ross begins the presentation by covering genetic data repositories and biodiversity data. He then shares some samples of COVID: Government-reported Epi data along with Mobility data and finishes off with observations made. At the end of all forum presentations, the speakers answer questions together from the audience.  

Main Sections

0:00 Introduction
4:48 Modeling COVID-19 Spread and Control: Data needs and challenges, Dr. Alison L Hill 
7:35 Role of models in COVID-19 epidemic 
11:47 What are the data needs for COVID-19 models?
11:55 Clinical course of infection
13:50 Transmission networks 
16:13 Healthcare requirements vs capacity 
17:48 Interventions (“non-pharmaceutical”)
19:58 What about the data we currently have?
20:22 Thank you!
20:52 Collecting and visualizing COVID-19 case count data from multiple sources, Ryan Hafen
24:37 Challenges of data standards in open source data communities
26:13 Example of bearable practices - JHU
29:40 Example of best practices - New York Times
31:31 Building a tool for case count data with data samples
37:38 closing and thank you!
38:18 Spatial and space-time data on COVID-19, Orhun Aydin, PhD
41:03 Steps for spatial analysis of COVID-19 data
43:13 Challenges pertaining to COVID-19 data
48:57 Resources for Geospatial COVID-19 Data
49:53 Sharing and Communicating Analysis 
52:04 Spatial data API’s and R & closing
55:53 Data in the COVI-19 pandemic, Dr Noam Ross
1:01:59 Genetic data repositories 
1:06:12 Biodiversity data
1:09:09 COVID: Government-reported Epi data
1:13:27 Mobility data
1:16:11 Some observations and closing 
1:18:08 Q&A
1:29:10 Closing and thank you!

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