👍 Wuhan Coronavirus (2019-nCoV) Global Cases using an ESRI Operations Dashboard

Thanks for sharing Scott. This dashboard is an amazing tool for epidemiologist to use for expedient data analysis!

Hi Scott,

I recall you mentioning a web version of esri that had learning modules. Can you give me the link to that site?

Thanks Sarah,

I thought I was sending it to Scott Troppy. Would you happen to have his contact info?

Thank you Sarah!

Hi everyone!

Sharing that Applied Epi (http://www.appliedepi.org) is offering their Intro to GIS with R course again, July 16 & 18, 1230-4pm EST (virtual, synchronous, $450). Course description is below. Links to register for this course (https://forms.gle/pTB3sbUDv76a1wPX9), and all upcoming R courses (http://www.appliedepi.org/live). There's a discount package for the intro course + 3 advanced courses (GIS, advanced R Markdown, and statistics/regression). Private courses can be arranged for 10+ participants (course brochure (https://appliedepi.org/files/applied_epi_course_brochure.pdf)).

For reference, Applied Epi is a nonprofit and produced the free Epi R Handbook (http://www.epiRhandbook.com) (4,000 daily views). The team of 75 instructors has delivered their synchronous courses to 1500 epis at 350 agencies including through CSTE, CDC, WHO, and Doctors without Borders.

Feel free to contact me with questions.
Neale (also at neale.batra@appliedepi.org (mailto:neale.batra@appliedepi.org))

Course overview: This course teaches the use of R to produce maps and perform simple analyses and data management tasks with spatial data for public health practice. Sessions include live coding demonstrations, lectures, interactive facilitated coding exercises, and 1-on-1 support meetings with instructors. There is approximately 1 instructor for each 6 participants. You can read more in our brochure (https://appliedepi.org/files/applied_epi_course_brochure.pdf) or our training page (http://www.appliedepi.org/live).

Topics: The course teaches participants to use the {ggplot2}, {sf}, and {plotly} R packages (among others) to make descriptive maps and perform simple spatial analyses. After a brief review of GIS principles, coordinate systems/projections, and shapefiles, we move to exercises using data from Ebola and COVID-19 outbreaks. We practice importing and cleaning spatial data, plotting points and polygons (administrative boundaries), conducting spatial joins and unions, aggregating case counts and plotting choropleth maps with case incidence, adjusting scales and colors, adding population denominators, labeling plotted features, adjusting projections, adding north arrows, scale bars, and legends, adding basemaps and inset maps, nearest neighbor analysis, buffer analysis, making maps iteratively, creating interactive maps, and embedding maps into PDF and HTML reports. Certificates of completion are awarded based on participation, submission of final R script, and completion of a feedback survey.

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