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Table 1 Population baseline characteristics of the study population

From: Evaluation of Plasmodium vivax malaria recurrence in Brazil

Variables Categories Patients
n = 128,675 (%)
Malaria cases
n = 153,203 (%)
Results per specie Parasitaemia
Vivax Falciparum Mixed F + V Malariae Non falciparum Less than half cross Half to one cross Two crosses Three–four crosses
Age ≤ 3 years 7231 (5.62) 8584 (5.6) 690 (0.45) 34 (0.02) 0 (0) 77 (0.05) 1900 (1.24) 2791 (1.82) 4082 (2.67) 507 (0.33)
4–8 years 9884 (7.68) 10,837 (7.07) 1060 (0.69) 54 (0.04) 1 (0) 69 (0.05) 3039 (1.98) 3799 (2.48) 4686 (3.06) 406 (0.27)
9–11 years 6344 (4.93) 6930 (4.52) 676 (0.44) 26 (0.02) 1 (0) 41 (0.03) 2192 (1.43) 2477 (1.62) 2785 (1.82) 166 (0.11)
12–14 years 7036 (5.47) 7637 (4.98) 680 (0.44) 42 (0.03) 0 (0) 32 (0.02) 2260 (1.48) 2866 (1.87) 3065 (2) 156 (0.1)
15–35 years 39,704 (30.86) 41,928 (27.37) 4467 (2.92) 333 (0.22) 16 (0.01) 152 (0.1) 12,328 (8.05) 14,754 (9.64) 18,412 (12.02) 1167 (0.76)
Older than 36 years 58,476 (45.44) 57,099 (37.27) 11,284 (7.37) 370 (0.24) 18 (0.01) 65 (0.04) 24,565 (16.04) 24,878 (16.25) 18,198 (11.88) 1069 (0.7)
Gender Female 51,327 (39.89) 52,861 (34.5) 7658 (5) 313 (0.2) 5 (0) 197 (0.13) 19,469 (12.71) 20,956 (13.69) 19,037 (12.43) 1282 (0.84)
Male 77,346 (60.11) 80,153 (52.32) 11,198 (7.31) 546 (0.36) 31 (0.02) 239 (0.16) 26,814 (17.51) 30,608 (19.99) 32,191 (21.02) 2189 (1.43)
Race White 8825 (6.97) 9198 (6) 1182 (0.77) 59 (0.04) 0 (0) 21 (0.01) 2893 (1.89) 3203 (2.09) 4022 (2.63) 311 (0.2)
African background 5024 (3.97) 4983 (3.25) 872 (0.57) 46 (0.03) 3 (0) 11 (0.01) 1548 (1.01) 1768 (1.15) 2400 (1.57) 184 (0.12)
Asian background 1310 (1.03) 1356 (0.89) 161 (0.11) 14 (0.01) 0 (0) 2 (0) 369 (0.24) 441 (0.29) 656 (0.43) 64 (0.04)
Mixed background 88,927 (70.25) 91,756 (59.89) 14,344 (9.36) 608 (0.4) 23 (0.02) 162 (0.11) 34,902 (22.79) 34,355 (22.44) 35,081 (22.91) 2230 (1.46)
Native indigenous 22,492 (17.77) 23,139 (15.1) 2250 (1.47) 129 (0.08) 8 (0.01) 240 (0.16) 6119 (4) 11,017 (7.19) 7766 (5.07) 583 (0.38)
Not informed 14,594 (11.34) 2583 (1.69) 48 (0.03) 3 (0) 2 (0) 0 (0) 453 (0.3) 781 (0.51) 1303 (0.85) 99 (0.06)
Years in School Illiterate 77,141 (59.95) 14,523 (9.48) 2199 (1.44) 94 (0.06) 3 (0) 80 (0.05) 5721 (3.74) 5694 (3.72) 5033 (3.29) 347 (0.23)
Incomplete/complete fundamental studies 20,725 (16.11) 78,780 (51.42) 11,958 (7.81) 534 (0.35) 28 (0.02) 236 (0.15) 27,919 (18.23) 31,415 (20.52) 30,006 (19.6) 1826 (1.19)
Incomplete/complete high school 2227 (1.73) 22,637 (14.78) 2961 (1.93) 152 (0.1) 5 (0) 23 (0.02) 7892 (5.15) 8428 (5.5) 8889 (5.81) 531 (0.35)
Graduation 13,988 (10.87) 1180 (0.77) 157 (0.1) 3 (0) 0 (0) 2 (0) 454 (0.3) 444 (0.29) 413 (0.27) 29 (0.02)
Not informed 7231 (5.62) 15,895 (10.38) 1582 (1.03) 76 (0.05) 0 (0) 95 (0.06) 4298 (2.81) 5584 (3.65) 6887 (4.5) 738 (0.48)
Economic activity Domestic 12,062 (9.37) 13,056 (8.52) 1595 (1.04) 77 (0.05) 0 (0) 27 (0.02) 4353 (2.84) 4991 (3.26) 5093 (3.33) 275 (0.18)
Others 75,468 (58.65) 78,955 (51.54) 10,939 (7.14) 374 (0.24) 13 (0.01) 164 (0.11) 28,306 (18.49) 30,073 (19.64) 29,699 (19.4) 2092 (1.37)
Agriculture livestock 28,192 (21.91) 28,253 (18.44) 4393 (2.87) 186 (0.12) 4 (0) 153 (0.1) 10,213 (6.67) 12,469 (8.14) 9597 (6.27) 512 (0.33)
Tourism 2759 (2.14) 2883 (1.88) 287 (0.19) 18 (0.01) 2 (0) 8 (0.01) 649 (0.42) 1103 (0.72) 1326 (0.87) 110 (0.07)
Mining 5999 (4.66) 5722 (3.73) 1125 (0.73) 172 (0.11) 10 (0.01) 23 (0.02) 1486 (0.97) 1334 (0.87) 3812 (2.49) 368 (0.24)
Vegetal extractivism 1048 (0.81) 955 (0.62) 208 (0.14) 18 (0.01) 7 (0) 3 (0) 293 (0.19) 354 (0.23) 508 (0.33) 31 (0.02)
Fishing hunting 2758 (2.14) 2758 (1.8) 282 (0.18) 10 (0.01) 0 (0) 56 (0.04) 890 (0.58) 1101 (0.72) 970 (0.63) 75 (0.05)
Road dam construction 389 (0.3) 433 (0.28) 28 (0.02) 4 (0) 0 (0) 2 (0) 94 (0.06) 140 (0.09) 223 (0.15) 8 (0.01)