PrintA non-profit humanitarian based organization called Healing the Health of Humanity International (H3I) has recently been awarded a very large grant. The dictates of the grant state that the funds must be allocated to serving the interests of individuals around the world who have experienced COVID-19. In order to meet the requirements of the grant on how best to meet the needs of those who have experienced COVID-19, H3I realizes that a considerable amount of data collection, processing, and analysis will be required. H3I also recognizes that this project will involve a considerable amount of geospatial data. Various methods (e.g., geospatial analytics) will be required to help visualize patterns, trends, and relationships in COVID-19 geospatial data. H3I also acknowledges that they do not employ staff that have expertise in geovisual analytics. That’s where your business plays a role.
Scope of the Problem
For this week you will be engaged in two tasks.
First, develop a business that focuses on geospatial solutions to COVId-19 data sets. This business plan will include the business name, logo, and staff. In addition, the plan will also include statements regarding expertise and previous completed projects. The specifics of developing this business are listed below.
Second, begin to draft a proposal that responds to H3I’s request. Note that a complete proposal will not be delivered until the end of the course. Over the next several weeks, you are tasked with developing and refining parts of the proposal. For now, this week will introduce you to the proposal idea from H3I and get you started on thinking how your group will respond to the request. The challenge is based on a COVID-19 data set of your choosing. Your group is one of several “clients” that are developing a proposal that presents a geographic visualization solution to a COVID-19 data set. As mentioned, H3I was recently awarded a grant that is directed to the betterment of individuals who have experienced COIVD-19, a topic of which is at its core mission. The challenge is to extract meaningful information from the COVID-19 data set of your choosing and make recommendations to H3I on how best to allocate its grant monies.
Specifically, for this project, H3I is interested in understanding some of the following characteristics about the COVID-19 data:
- Identifying who are the most disadvantaged groups?
- What are the anomalies in the COVID-19 data set?
- Who are the people in most need of the basics?
- What COVID-19 individuals have been displaced?
- Some basic demographics include age profiles of the refugees (youngest, oldest), country of origin, GDP of most strickened countries).
- Are there other mitigating factors contributing to the situation (consider civil-strife, political, ethnic, and religious tensions)?
- Which countries have the greatest number of cases, deaths, vaccine hesitancy, etc.?
- How would resource allocation (medicine, health care access, vaccine delivery, etc.) better COVID-19 situation?