As I understand, a country of origin has as many records in the Table as the number of countries where traveling occurred and the specific number of travelers who died. Given are the polygons of all countries in the world. Therefore, you want two things. First, left-click on any country, like Peru, to present a map like the one you did. Second, right-click on a country to show a map showing the deaths of travelers from this country to other countries. In either case, the maps are dynamic, and you must have a specific script or a model that, at the moment of the click, picks the data from the Table and populates the corresponding country polygons with proper shade or color according to the number of deaths.

Hello,

In addition to confirming the previously provided answers, toward this spatial representation, ArcMap software would be an option. Compile country-specific data in an Excel file, then add it to the attribute table associated with the world map of countries. ArcMap offers you diverse spatial mapping patterns.

The ArcGis could be a better option to do this task by taking data points of specific country including that attribute data or taking lat log of particular point then covert that data points into vector form. From diva gis you can download specific country data and later join that country by using gis tool ( merge)

Creating map visualization for your travel medicine study sounds like a great idea. Here's a suggestion for how you could visualize the data using GIS software:

1. Choropleth Map: To visualize the number of deaths among travelers to different countries. Where, each country would be shaded based on the number of deaths, with darker shades indicating higher numbers of deaths and lighter shades indicating lower numbers. You can choose a color scheme that effectively represents the data, such as a sequential color scheme where lighter colors represent fewer deaths and darker colors represent more deaths.

2. Bubble Map: Another option is to create a bubble map where each country is represented by a bubble whose size corresponds to the number of deaths. The larger the bubble, the higher the number of deaths in that country.

3. Heat Map: Can be useful for showing the concentration of deaths among travelers across different countries. Heat maps use color intensity to represent the density of data points, so areas with more deaths would appear "hotter" (i.e., darker) while areas with fewer deaths would appear "cooler" (i.e., lighter).

4. Flow Map: If you want to highlight the flow of travelers from different countries to their destinations, you can create a flow map. Arrows or lines can be used to show the direction of travel, with thicker or darker lines representing higher numbers of travelers. This visualization can help identify patterns of travel and potential routes of transmission for diseases.

Note: When creating any of these visualizations, be sure to provide a clear legend and title to help readers understand the data being presented. Additionally, consider including labels for each country to make the map easier to interpret.