Diverse Population Infographics

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Create an infographic geared to the specific diverse population you chose (Obesity)
Demonstrate an understanding of the challenges and bias this population faces particularly when obtaining health care.
List specific health promotion needs that are related to this population.
The goals of this project are to demonstrate how health care is perceived by this population of diversity and to improve providers’ understanding of this
population.
Use APA 7th edition format for in-text citations. You may put these in a very small font.
Use at least three scholarly references preferably from provider-based or NP-based journals.
Take time to look at other infographics and see what catches your attention and what does not. Learn from what you observe. Watch the videos on how to
create an effective infographic. You should incorporate a video (three to five minutes) to show how your diverse population feels or the challenges they face.
An infographic is much like a commercial; you must tell the most important parts of your story in a way that visually catches the eye and engages your
audience. The story must flow and be told in pictures, graphs, and short video clips.
Venngage and Canva offer a free trial that you may use. You also have the option to find other free infographic sites on your own. Some allow you to
download what you create, and on Venngage you just need to copy the PUBLIC link and post that in the assignment. Here are some helpful tips for how to
use Venngage as well as a link to Canva:
Venngage: https://venngage.com/blog/how-to-make-an-infographic-in-5-steps/
https://www.canva.com/
You may also use Microsoft PowerPoint to create your infographic as well.
Your infographic
If you are using Venngage or a similar tool, please submit the public link to your infographic.
If you chose to use Microsoft PowerPoint, download and submit the file for your infographic.
If you chose to use Canva, please include a link to the video you want to include separately

Sample Solution

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regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating to take note of that while there is a limited ability to recall lumps of data, how much pieces in every one of those lumps can change broadly (Miller, 1956). Anyway it’s anything but a straightforward instance of having the memorable option huge pieces right away, somewhat that as each piece turns out to be more natural, it very well may be acclimatized into a lump, which is then recollected itself. Recoding is the interaction by which individual pieces are ‘recoded’ and allocated to lumps. Consequently the ends that can be drawn from Miller’s unique work is that, while there is an acknowledged breaking point to the quantity of pi

regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating regards to the osmosis of pieces into lumps. Mill operator recognizes pieces and lumps of data, the differentiation being that a piece is comprised of various pieces of data. It is fascinating to take note of that while there is a limited ability to recall lumps of data, how much pieces in every one of those lumps can change broadly (Miller, 1956). Anyway it’s anything but a straightforward instance of having the memorable option huge pieces right away, somewhat that as each piece turns out to be more natural, it very well may be acclimatized into a lump, which is then recollected itself. Recoding is the interaction by which individual pieces are ‘recoded’ and allocated to lumps. Consequently the ends that can be drawn from Miller’s unique work is that, while there is an acknowledged breaking point to the quantity of pi

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