Volume 31, Number 9—September 2025
Research
Epidemiology of Chikungunya Hospitalizations, Brazil, 2014–2024
Table 2
Crude hospitalization rates by region and state in a study of epidemiology of chikungunya hospitalizations, Brazil, 2014–2024*
| Region, state |
No. hospitalizations (rate/100,000 population) |
||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014 |
2015 |
2016 |
2017 |
2018 |
2019 |
2020 |
2021 |
2022 |
2023 |
2024 |
|
| North | |||||||||||
| Acre | 0 | 0 | 0 | 1 (0.12) | 0 | 0 | 1 (0.12) | 1 (0.12) | 1 (0.11) | 2 (0.23) | 4 (0.45) |
| Amapá | 24 (3.26) | 18 (2.41) | 1 (0.13) | 4 (0.52) | 3 (0.39) | 0 | 0 | 1 (0.13) | 1 (0.13) | 1 (0.13) | 1 (0.12) |
| Amazonas | 0 | 0 | 2 (0.05) | 0 | 0 | 0 | 3 (0.07) | 0 | 0 | 0 | 1 (0.02) |
| Pará | 0 | 1 (0.01) | 38 (0.46) | 330 (3.99) | 35 (0.42) | 26 (0.31) | 3 (0.04) | 9 (0.11) | 13 (0.15) | 7 (0.08) | 15 (0.17) |
| Rondônia | 0 | 0 | 7 (0.42) | 4 (0.42) | 1 (0.06) | 2 (0.12) | 0 | 1 (0.06) | 0 | 2 (0.11) | 2 (0.11) |
| Roraima | 0 | 0 | 0 | 29 (5.14) | 7 (1.19) | 1 (0.16) | 0 | 0 | 0 | 0 | 0 |
| Tocantins | 0 | 0 | 1 (0.07) | 45 (3) | 6 (0.4) | 1 (0.07) | 4 (0.26) | 2 (0.13) | 6 (0.39) | 38 (2.42) | 8 (0.51) |
| Total |
24 (0.14) |
19 (0.11) |
49 (0.28) |
413 (2.35) |
52 (0.29) |
30 (0.17) |
11 (0.06) |
14 (0.08) |
21 (0.11) |
50 (0.27) |
31 (0.17) |
| Northeast | |||||||||||
| Alagoas | 0 | 7 (0.22) | 43 (1.35) | 4 (0.13) | 9 (0.28) | 6 (0.19) | 0 | 4 (0.12) | 3 (0.09) | 3 (0.09) | 3 (0.09) |
| Bahia | 2 (0.01) | 9 (0.06) | 112 (0.77) | 124 (0.85) | 8 (0.05) | 17 (0.12) | 38 (0.26) | 22 (0.15) | 57 (0.38) | 41 (0.28) | 25 (0.17) |
| Ceará | 0 | 0 | 201 (2.27) | 484 (5.42) | 39 (0.43) | 16 (0.18) | 5 (0.06) | 2 (0.02) | 273 (2.98) | 31 (0.34) | 28 (0.3) |
| Maranhão | 0 | 4 (0.06) | 621 (9.05) | 497 (7.21) | 198 (2.86) | 127 (1.83) | 47 (0.67) | 47 (0.67) | 366 (3.2) | 93 (1.33) | 12 (0.17) |
| Paraíba | 0 | 1 (0.03) | 77 (1.95) | 13 (0.33) | 12 (0.3) | 50 (1.24) | 9 (0.22) | 43 (1.05) | 148 (3.6) | 45 (1.09) | 32 (0.77) |
| Pernambuco | 0 | 14 (0.15) | 192 (2.07) | 8 (0.09) | 8 (0.09) | 11 (0.12) | 14 (0.15) | 59 (0.62) | 20 (0.21) | 4 (0.04) | 14 (0.15) |
| Piauí | 0 | 0 | 7 (0.21) | 71 (2.16) | 8 (0.24) | 12 (0.36) | 0 | 1 (0.03) | 59 (1.76) | 31 (0.92) | 30 (0.89) |
| Rio Grande do Norte | 0 | 0 | 89 (2.66) | 5 (0.15) | 2 (0.06) | 16 (0.47) | 5 (0.15) | 5 (0.15) | 8 (0.23) | 5 (0.15) | 2 (0.06) |
| Sergipe | 0 | 0 | 22 (1) | 1 (0.05) | 0 | 2 (0.09) | 2 (0.09) | 21 (0.93) | 54 (2.38) | 3 (0.13) | 1 (0.04) |
| Total |
2 (0.01) |
35 (0.06) |
1,364 (2.46) |
1,207 (2.17) |
284 (0.51) |
257 (0.46) |
120 (0.21) |
204 (0.36) |
944 (1.66) |
256 (0.45) |
147 (0.26) |
| Southeast | |||||||||||
| Espírito Santo | 0 | 0 | 2 (0.05) | 3 (0.08) | 6 (0.15) | 15 (0.38) | 9 (0.22) | 7 (0.17) | 2 (0.05) | 10 (0.25) | 17 (0.41) |
| Minas Gerais | 0 | 2 (0.01) | 7 (0.03) | 59 (0.29) | 30 (0.14) | 37 (0.18) | 20 (0.1) | 28 (0.13) | 32 (0.15) | 376 (1.77) | 223 (1.05) |
| Rio de Janeiro | 0 | 4 (0.02) | 27 (0.16) | 15 (0.09) | 147 (0.86) | 256 (1.49) | 22 (0.13) | 4 (0.02) | 6 (0.03) | 9 (0.05) | 31 (0.18) |
| São Paulo | 1 (0) | 10 (0.02) | 16 (0.04) | 14 (0.03) | 13 (0.03) | 21 (0.05) | 12 (0.03) | 13 (0.03) | 11 (0.02) | 15 (0.03) | 29 (0.06) |
| Total |
1 (0) |
16 (0.02) |
52 (0.06) |
91 (0.11) |
196 (0.23) |
329 (0.38) |
63 (0.07) |
52 (0.06) |
51 (0.06) |
410 (0.46) |
300 (0.34) |
| South | |||||||||||
| Paraná | 0 | 0 | 2 (0.02) | 2 (0.02) | 2 (0.02) | 1 (0.01) | 1 (0.01) | 2 (0.02) | 0 | 12 (0.1) | 9 (0.08) |
| Rio Grande do Sul | 0 | 0 | 0 | 5 (0.04) | 1 (0.01) | 2 (0.02) | 0 | 2 (0.02) | 1 (0.01) | 0 | 1 (0.01) |
| Santa Catarina | 0 | 1 (0.01) | 2 (0.03) | 1 (0.01) | 1 (0.01) | 5 (0.07) | 3 (0.04) | 0 | 2 (0.03) | 0 | 0 |
| Total |
0 |
1 (0) |
4 (0.01) |
8 (0.03) |
4 (0.01) |
8 (0.03) |
4 (0.01) |
4 (0.01) |
3 (0.01) |
12 (0.04) |
10 (0.03) |
| Center West | |||||||||||
| Distrito Federal | 0 | 2 (0.07) | 5 (0.18) | 1 (0.04) | 0 | 1 (0.03) | 0 | 0 | 1 (0.03) | 10 (0.34) | 2 (0.07) |
| Goiás | 0 | 3 (0.05) | 0 | 4 (0.06) | 3 (0.04) | 4 (0.06) | 2 (0.03) | 9 (0.13) | 7 (0.1) | 6 (0.08) | 27 (0.37) |
| Mato Grosso | 0 | 0 | 2 (0.06) | 4 (0.14) | 36 (1.03) | 4 (0.11) | 9 (0.25) | 2 (0.05) | 6 (0.16) | 9 (0.24) | 85 (2.22) |
| Mato Grosso do Sul | 0 | 0 | 0 | 1 (0.04) | 2 (0.07) | 2 (0.07) | 2 (0.07) | 1 (0.04) | 4 (0.14) | 9 (0.31) | 3 (0.21) |
| Total |
0 |
5 (0.03) |
7 (0.04) |
10 (0.06) |
41 (0.26) |
11 (0.07) |
13 (0.08) |
12 (0.07) |
18 (0.11) |
34 (0.2) |
117 (0.69) |
| Brazil total | 27 (0.01) | 76 (0.04) | 1,476 (0.72) | 1,729 (0.84) | 577 (0.28) | 635 (0.31) | 211 (0.1) | 286 (0.14) | 1,037 (0.49) | 762 (0.36) | 605 (0.28) |
*Information obtained from the Brazil Ministry of Health Datasus (https://datasus.saude.gov.br/transferencia-de-arquivos).
Page created: July 16, 2025
Page updated: August 26, 2025
Page reviewed: August 26, 2025
The conclusions, findings, and opinions expressed by authors contributing to this journal do not necessarily reflect the official position of the U.S. Department of Health and Human Services, the Public Health Service, the Centers for Disease Control and Prevention, or the authors' affiliated institutions. Use of trade names is for identification only and does not imply endorsement by any of the groups named above.