From: Applying fuzzy logic to assess the biogeographical risk of dengue in South America
Country | Cells by country | % of risk for Ae. aegypti | % of risk for Ae. albopictus | % of risk for dengue cases | % of risk intersection F-Ae. aegypti-F-dengue | % of risk intersection F-Ae. albopictus-F-dengue | % of the country with dengue cases | |||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
F > 0.2 | F ≥ 0.8 | F > 0.2 | F ≥ 0.8 | F > 0.2 | F ≥ 0.8 | F > 0.2 | F ≥ 0.8 | F > 0.2 | F ≥ 0.8 | |||
Brazil | 2860 | 84.056 | 42.343 | 58.776 | 33.741 | 69.720 | 16.049 | 67.552 | 15.839 | 53.497 | 14.196 | 16.958 |
Colombia | 349 | 48.424 | 1.146 | 19.198 | 1.146 | 70.201 | 11.461 | 57.593 | 1.146 | 21.490 | 0.000 | 13.181 |
Venezuela | 365 | 60.274 | 0.274 | 4.932 | 0.000 | 64.932 | 11.781 | 47.397 | 0.274 | 2.740 | 0.000 | 11.507 |
Peru | 509 | 29.666 | 0.393 | 4.322 | 0.196 | 79.371 | 0.786 | 25.344 | 0.393 | 4.322 | 0.196 | 8.251 |
Bolivia | 325 | 60.000 | 0.000 | 5.538 | 0.000 | 91.385 | 0.000 | 76.615 | 0.000 | 8.000 | 0.000 | 11.692 |
Paraguay | 182 | 89.560 | 4.396 | 40.659 | 2.747 | 97.253 | 3.846 | 87.363 | 1.099 | 40.659 | 0.000 | 19.780 |
Argentina | 1062 | 13.653 | 0.094 | 0.659 | 0.094 | 19.115 | 0.188 | 10.829 | 0.094 | 0.659 | 0.000 | 1.507 |
Ecuador | 82 | 46.341 | 0.000 | 12.195 | 0.000 | 96.341 | 15.854 | 46.341 | 0.000 | 12.195 | 0.000 | 18.293 |
French Guyana | 32 | 78.125 | 0.000 | 15.625 | 0.000 | 62.500 | 0.000 | 53.125 | 0.000 | 9.375 | 0.000 | 12.500 |
Guyana | 72 | 58.333 | 0.000 | 4.167 | 0.000 | 58.333 | 1.389 | 61.111 | 0.000 | 5.556 | 0.000 | 5.556 |
Surinam | 65 | 73.846 | 3.077 | 7.692 | 0.000 | 63.077 | 1.538 | 63.077 | 0.000 | 7.692 | 0.000 | 4.615 |
Chile | 423 | 1.182 | 0.000 | 0.236 | 0.000 | 12.530 | 0.236 | 1.182 | 0.000 | 0.236 | 0.000 | 0.000 |
Uruguay | 93 | 93.548 | 2.151 | 1.075 | 0.000 | 68.817 | 2.151 | 67.742 | 2.151 | 0.000 | 0.000 | 0.000 |
Panamá | 11 | 100.000 | 0.000 | 27.273 | 0.000 | 100.000 | 18.182 | 54.545 | 0.000 | 9.091 | 0.000 | 0.000 |