Bintou Sylla_ Covid 19's spread in New York City_GIS Road Map by Bintou Sylla https://padlet.com/bsylla011_1/bmjdgaf64ir3ahx1 en-us 2020-09-14 17:20:54 UTC 2025-11-14 23:48:24 UTC hello@padlet.com The spread of Covid 19 in New York City bsylla011_1 https://padlet.com/bsylla011_1/bmjdgaf64ir3ahx1/wish/745271891 2020-09-14 18:11:37 UTC https://padlet.com/bsylla011_1/bmjdgaf64ir3ahx1/wish/745271891 Why is this topic important? bsylla011_1 https://padlet.com/bsylla011_1/bmjdgaf64ir3ahx1/wish/745324973 This topic is important because it showcases how effective people's response to the virus was. Knowing how and why the virus spread faster in certain area than in others can help better control it if it were to resurge. ]]> 2020-09-14 18:22:49 UTC https://padlet.com/bsylla011_1/bmjdgaf64ir3ahx1/wish/745324973 Question 1: Is there a correlation between race and Covid? bsylla011_1 https://padlet.com/bsylla011_1/bmjdgaf64ir3ahx1/wish/745331550 2020-09-14 18:24:13 UTC https://padlet.com/bsylla011_1/bmjdgaf64ir3ahx1/wish/745331550 Question 2: Where were the areas that were primarily affected? bsylla011_1 https://padlet.com/bsylla011_1/bmjdgaf64ir3ahx1/wish/745337414 2020-09-14 18:25:30 UTC https://padlet.com/bsylla011_1/bmjdgaf64ir3ahx1/wish/745337414 Who might benefit from answering your questions. bsylla011_1 https://padlet.com/bsylla011_1/bmjdgaf64ir3ahx1/wish/745338028 I think that everyone will benefit from knowing how Covid 19 spreads. It will help New Yorkers know about the areas that mostly affect and know not to go there and help officials and other countries to prevent and respond to their health threats using the city's example. ]]> 2020-09-14 18:25:38 UTC https://padlet.com/bsylla011_1/bmjdgaf64ir3ahx1/wish/745338028 Data source #1 bsylla011_1 https://padlet.com/bsylla011_1/bmjdgaf64ir3ahx1/wish/778430083 Source 1: 
Covid 19: Cases and Deaths by Race/Ethnicity. Kaiser Family Foundation 2020, Tableau Public
Link: https://public.tableau.com/shared/Y3ZC4TD6G?:toolbar=n&:display_count=y&:origin=viz_share_link
How I would use it: 
This data shows the cases and Covid related death in the 50 states by race/ethnicity. I will use it to answer my new practical question. I want to compare 5-10 states and see if there is an association between Covid and race.]]> 2020-09-25 05:45:18 UTC https://padlet.com/bsylla011_1/bmjdgaf64ir3ahx1/wish/778430083 Data source #2 bsylla011_1 https://padlet.com/bsylla011_1/bmjdgaf64ir3ahx1/wish/778430918 Source 2: Covid 19 United States by State/Territory by John Hopkins University (JHU), 2020.
Link: https://coronavirus.jhu.edu/us-map
How I would use it:
I will use this data to show the states that were mostly hit by the virus and the number of deaths.

]]> 2020-09-25 05:46:03 UTC https://padlet.com/bsylla011_1/bmjdgaf64ir3ahx1/wish/778430918 Spatial Join bsylla011_1 https://padlet.com/bsylla011_1/bmjdgaf64ir3ahx1/wish/784198627 I will do a spatial join between the cities with the highest mortality rates and population distribution, by race. The output will record the mortality rates and the population, which will help find the correlation between race and Covid deaths. I was thinking about adding the Zip codes to compare it that way but I could not find data for smaller areas. ]]> 2020-09-28 12:56:18 UTC https://padlet.com/bsylla011_1/bmjdgaf64ir3ahx1/wish/784198627 Spatial Queries bsylla011_1 https://padlet.com/bsylla011_1/bmjdgaf64ir3ahx1/wish/785322683 Use spatial queries to find the hotspots, areas that are mostly affected and draw boundaries to determine the number of people residing in that particular area.]]> 2020-09-28 17:38:48 UTC https://padlet.com/bsylla011_1/bmjdgaf64ir3ahx1/wish/785322683