What should I do with this kind of map that shows the ASRI values for each region of the world map?

General
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1 
mydata <- read.csv('Incidence_Table1.csv',header = T)
dput(mydata)

dput(mydata)
structure(list(X = c(1L, 26L, 22L, 27L, 21L, 25L, 15L, 12L, 14L,
5L, 2L, 13L, 18L, 3L, 8L, 17L, 7L, 11L, 19L, 4L, 16L, 6L, 10L,
23L, 20L, 9L, 24L), location = c("Global", "Low SDI", "Low-middle SDI",
"Middle SDI", "High-middle SDI", "High SDI", "Andean Latin America",
"Australasia", "Caribbean", "Central Asia", "Central Europe",
"Central Latin America", "Central Sub-Saharan Africa", "East Asia",
"Eastern Europe", "Eastern Sub-Saharan Africa", "High-income Asia Pacific",
"High-income North America", "North Africa and Middle East",
"Oceania", "South Asia", "Southeast Asia", "Southern Latin America",
"Southern Sub-Saharan Africa", "Tropical Latin America", "Western Europe",
"Western Sub-Saharan Africa"), Prevalence_Number_1000 = c("1069 (757.8 to 1482.5)",
"49.2 (32.7 to 70.4)", "111.6 (76.8 to 158.2)", "393.3 (277.5 to 551.7)",
"244.6 (172.5 to 341)", "269.5 (194.7 to 362.3)", "6.6 (4.5 to 9.4)",
"14.6 (10 to 20.5)", "3.4 (2.3 to 4.7)", "15.7 (10.9 to 21.9)",
"20.8 (14.6 to 28.7)", "18.1 (12.3 to 25.2)", "7.6 (5 to 10.7)",
"360.5 (256 to 500.3)", "40.6 (29.4 to 54.2)", "22.9 (14.9 to 33)",
"21.2 (14.7 to 29.6)", "134.2 (96.5 to 180.9)", "30.9 (21.5 to 43.5)",
"2.6 (1.7 to 3.8)", "34.8 (24 to 49)", "163.2 (109.5 to 236.1)",
"7.3 (5 to 10.3)", "10 (7 to 14)", "44.1 (29.6 to 62.5)", "86.6 (60.4 to 119.2)",
"23.4 (15.3 to 33.4)"), ASIR = c("13.7 (9.7 to 19.1)", "4.2 (2.8 to 5.8)",
"5.3 (3.7 to 7.5)", "16.6 (11.7 to 23.5)", "22.8 (15.8 to 32)",
"30.2 (21.4 to 41.5)", "9.3 (6.3 to 13.1)", "55.7 (38.1 to 78.4)",
"6.9 (4.8 to 9.8)", "16.6 (11.6 to 23.1)", "23.8 (16.2 to 33.5)",
"6.7 (4.6 to 9.4)", "5.3 (3.6 to 7.4)", "32.3 (22.4 to 45.3)",
"26.3 (18.7 to 35.4)", "5 (3.4 to 7)", "15.1 (10.1 to 21.2)",
"42 (29.9 to 56.7)", "4.8 (3.3 to 6.7)", "17.2 (11.5 to 25)",
"1.7 (1.2 to 2.4)", "22.6 (15.2 to 32.8)", "10.7 (7.2 to 15.1)",
"11.7 (8.2 to 16.3)", "19.4 (12.9 to 27.7)", "25.3 (17.3 to 35.2)",
"4.7 (3.2 to 6.6)"), EAPC_CI = c("-2.05\n(-2.2 to -1.89)", "0.1\n(0.08 to 0.12)",
"-0.37\n(-0.41 to -0.32)", "-2.48\n(-2.7 to -2.26)", "-1.64\n(-1.82 to -1.46)",
"0.04\n(-0.28 to 0.36)", "0.24\n(0.2 to 0.27)", "-0.33\n(-0.71 to 0.05)",
"-0.16\n(-0.34 to 0.02)", "0.35\n(0.32 to 0.37)", "0.66\n(0.6 to 0.73)",
"0.39\n(0.08 to 0.7)", "0.07\n(0.06 to 0.09)", "-2.31\n(-2.63 to -1.99)",
"0.02\n(-0.19 to 0.24)", "0.02\n(0 to 0.03)", "-0.07\n(-0.12 to -0.02)",
"-0.04\n(-0.89 to 0.81)", "0.44\n(0.34 to 0.54)", "-0.01\n(-0.03 to 0.02)",
"0.12\n(0.09 to 0.14)", "-0.16\n(-0.23 to -0.1)", "-0.1\n(-0.22 to 0.01)",
"-0.48\n(-0.81 to -0.15)", "-0.21\n(-0.3 to -0.12)", "0.34\n(0.25 to 0.44)",
"-0.08\n(-0.12 to -0.05)")), class = "data.frame", row.names = c(NA,
-27L))
View(mydata)

微信图片_20241206192857
微信图片_20241206192857747×597 337 KB

2

Your question is too vague. What do you want to accomplish with this map? Do you see something missing that you expected to see or is there something wrong with it?

3

I wanted to use a map to show the differences in ASRI between different regions, but I didn't know how to write the code

4

You're still a little vague. Looking at the maps I see different colors for various countries based on the region and prevalence values. This won't be a trivial effort. Please explain how these two maps will be different from what they are now if you are able to achieve your goal.