{"id":1891,"date":"2020-05-20T07:58:40","date_gmt":"2020-05-20T14:58:40","guid":{"rendered":"http:\/\/cgia.org\/cagiscouncil\/?p=1891"},"modified":"2020-05-20T08:00:12","modified_gmt":"2020-05-20T15:00:12","slug":"mapping-a-monster","status":"publish","type":"post","link":"https:\/\/cgia.org\/cagiscouncil\/2020\/05\/20\/mapping-a-monster\/","title":{"rendered":"Mapping a Monster"},"content":{"rendered":"\n

Making Sense of COVID-19 Data\u00a0through Geospatial Technology<\/strong><\/p>\n\n\n\n

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Hello Everyone, The novel COVID-19 pandemic has already profoundly impacted the world in ways that have not been seen for generations and the full effects have yet to be quantified. Geospatial Technology plays a critical role in understanding and combating the virus threat. It’s my pleasure to invite you to a four-part series entitled, “Mapping a Monster: Making Sense of COVID-19 Data through Geospatial Technology.” In this series, you will learn how Geographic information Systems Technology (GIS) is being leveraged as a powerful data visualization and analysis tool for making science-based spatial decisions that have real-world consequences. Explore how COVID-19 epidemiology data, location intelligence, and map visualization technology are used to support a variety of pandemic web maps, graphs and applications used to raise awareness, inform public decision-making, and guide policy decisions on a global scale. Through this speaker series, attendees will gain an understanding of: cutting-edge geospatial practices used in epidemiology (past and present), the use and application of GIS on a global scale, the biological nuance of the Coronavirus, and how COVID-19 data can be and is used by city, counties, states and government to make critical decisions.<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
Register for Part 1<\/strong><\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
In the first part of this series will be held on Wednesday, June 3rd at 2 PM EDT<\/strong>. In part 1, industry experts sharing experiences and big picture workflows of using geospatial technology to display and analyze COVID-19 data. Speakers include: 1.  Ensheng (Frank) Dong<\/strong><\/a>, PhD Candidate from Johns Hopkins COVID-19 Dashboard Team2.  Dr. Este Geraghty<\/strong><\/a>, Chief Medical Officer and Health Solutions Director at Esri. You can also register for the other three parts using the link below:1.  Part 2: June 17<\/a>th<\/sup><\/a>2.  Part 3: July 1<\/a>st<\/sup><\/a>3.  Part 4: July 15<\/a>th<\/sup><\/a> Finally, you can learn more about the MS in Geographic Information Systems by visiting our website here<\/a>. I hope to see you all there, Cassandra (Cassie) Hansen PhD, GISS<\/strong>Program Coordinator for GIS and Environmental Science and PolicyAdvanced Academic Programs | Johns Hopkins University<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n
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If the invite does not show you can follow the link below.
https:\/\/www.eventbrite.com\/e\/mapping-a-monster-part-1-tickets-104654504440?aff=ebdssbonlinesearch<\/a><\/figcaption><\/figure>\n\n\n\n

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Making Sense of COVID-19 Data\u00a0through Geospatial Technology Hello Everyone, The novel COVID-19 pandemic has already profoundly impacted the world in ways that have not been seen for generations and the full effects have yet to be quantified. Geospatial Technology plays a…
Read more<\/a><\/p>\n","protected":false},"author":35,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_bbp_topic_count":0,"_bbp_reply_count":0,"_bbp_total_topic_count":0,"_bbp_total_reply_count":0,"_bbp_voice_count":0,"_bbp_anonymous_reply_count":0,"_bbp_topic_count_hidden":0,"_bbp_reply_count_hidden":0,"_bbp_forum_subforum_count":0,"footnotes":""},"categories":[3],"tags":[],"class_list":["post-1891","post","type-post","status-publish","format-standard","hentry","category-announcements"],"_links":{"self":[{"href":"https:\/\/cgia.org\/cagiscouncil\/wp-json\/wp\/v2\/posts\/1891","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cgia.org\/cagiscouncil\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cgia.org\/cagiscouncil\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/cgia.org\/cagiscouncil\/wp-json\/wp\/v2\/users\/35"}],"replies":[{"embeddable":true,"href":"https:\/\/cgia.org\/cagiscouncil\/wp-json\/wp\/v2\/comments?post=1891"}],"version-history":[{"count":1,"href":"https:\/\/cgia.org\/cagiscouncil\/wp-json\/wp\/v2\/posts\/1891\/revisions"}],"predecessor-version":[{"id":1893,"href":"https:\/\/cgia.org\/cagiscouncil\/wp-json\/wp\/v2\/posts\/1891\/revisions\/1893"}],"wp:attachment":[{"href":"https:\/\/cgia.org\/cagiscouncil\/wp-json\/wp\/v2\/media?parent=1891"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cgia.org\/cagiscouncil\/wp-json\/wp\/v2\/categories?post=1891"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cgia.org\/cagiscouncil\/wp-json\/wp\/v2\/tags?post=1891"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}