Prediction 40
| Modelo | Deep learning model using BI-LSTM Layers |
|---|---|
| Autor | Eduardo Correa Araujo |
Descrição:
Forecast de novos casos para o geocode 2211001 entre 2022-01-01 e 2023-01-01 usando apenas os dados do geocode e das cidades clusterizadas com ele
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| date | pred | lower_95 | lower_90 | lower_80 | lower_50 | upper_50 | upper_80 | upper_90 | upper_95 |
|---|---|---|---|---|---|---|---|---|---|
| 2022-01-02 | 29.26 | - | 10.35 | - | - | - | - | 50.76 | - |
| 2022-01-09 | 27.86 | - | 6.30 | - | - | - | - | 48.03 | - |
| 2022-01-16 | 24.81 | - | 5.81 | - | - | - | - | 39.97 | - |
| 2022-01-23 | 22.65 | - | 7.93 | - | - | - | - | 39.00 | - |
| 2022-01-30 | 28.23 | - | 3.64 | - | - | - | - | 47.69 | - |
| 2022-02-06 | 43.17 | - | 18.88 | - | - | - | - | 79.16 | - |
| 2022-02-13 | 77.35 | - | 44.98 | - | - | - | - | 133.90 | - |
| 2022-02-20 | 75.59 | - | 39.72 | - | - | - | - | 126.95 | - |
| 2022-02-27 | 103.50 | - | 59.96 | - | - | - | - | 183.06 | - |
| 2022-03-06 | 120.42 | - | 69.49 | - | - | - | - | 216.93 | - |
| 2022-03-13 | 166.27 | - | 88.28 | - | - | - | - | 263.60 | - |
| 2022-03-20 | 229.21 | - | 122.54 | - | - | - | - | 351.46 | - |
| 2022-03-27 | 251.14 | - | 140.30 | - | - | - | - | 365.11 | - |
| 2022-04-03 | 316.58 | - | 154.58 | - | - | - | - | 452.17 | - |
| 2022-04-10 | 324.08 | - | 206.92 | - | - | - | - | 459.57 | - |
| 2022-04-17 | 374.29 | - | 243.67 | - | - | - | - | 493.02 | - |
| 2022-04-24 | 383.15 | - | 265.64 | - | - | - | - | 509.76 | - |
| 2022-05-01 | 412.11 | - | 294.74 | - | - | - | - | 521.62 | - |
| 2022-05-08 | 415.76 | - | 291.76 | - | - | - | - | 520.27 | - |
| 2022-05-15 | 385.51 | - | 250.87 | - | - | - | - | 512.03 | - |
| 2022-05-22 | 404.86 | - | 229.64 | - | - | - | - | 525.12 | - |
| 2022-05-29 | 400.21 | - | 235.48 | - | - | - | - | 532.80 | - |
| 2022-06-05 | 394.86 | - | 271.57 | - | - | - | - | 500.37 | - |
| 2022-06-12 | 362.51 | - | 226.99 | - | - | - | - | 483.71 | - |
| 2022-06-19 | 281.72 | - | 162.88 | - | - | - | - | 385.78 | - |
| 2022-06-26 | 273.15 | - | 173.35 | - | - | - | - | 400.03 | - |
| 2022-07-03 | 267.85 | - | 177.90 | - | - | - | - | 401.38 | - |
| 2022-07-10 | 289.51 | - | 180.54 | - | - | - | - | 400.66 | - |
| 2022-07-17 | 289.16 | - | 159.21 | - | - | - | - | 410.11 | - |
| 2022-07-24 | 228.50 | - | 116.35 | - | - | - | - | 385.80 | - |
| 2022-07-31 | 190.92 | - | 101.47 | - | - | - | - | 284.78 | - |
| 2022-08-07 | 128.70 | - | 79.56 | - | - | - | - | 199.32 | - |
| 2022-08-14 | 81.78 | - | 47.07 | - | - | - | - | 128.76 | - |
| 2022-08-21 | 50.23 | - | 23.89 | - | - | - | - | 70.72 | - |
| 2022-08-28 | 36.98 | - | 15.26 | - | - | - | - | 62.85 | - |
| 2022-09-04 | 31.91 | - | 9.30 | - | - | - | - | 50.20 | - |
| 2022-09-11 | 29.61 | - | 8.20 | - | - | - | - | 48.11 | - |
| 2022-09-18 | 27.17 | - | 3.43 | - | - | - | - | 45.22 | - |
| 2022-09-25 | 27.57 | - | 4.00 | - | - | - | - | 46.34 | - |
| 2022-10-02 | 28.42 | - | 4.01 | - | - | - | - | 47.69 | - |
| 2022-10-09 | 30.37 | - | 9.00 | - | - | - | - | 50.93 | - |
| 2022-10-16 | 27.53 | - | 7.57 | - | - | - | - | 44.14 | - |
| 2022-10-23 | 22.95 | - | 2.47 | - | - | - | - | 42.75 | - |
| 2022-10-30 | 25.28 | - | 1.78 | - | - | - | - | 46.91 | - |
| 2022-11-06 | 24.70 | - | 4.12 | - | - | - | - | 45.57 | - |
| 2022-11-13 | 26.15 | - | 2.71 | - | - | - | - | 46.69 | - |
| 2022-11-20 | 24.49 | - | 1.84 | - | - | - | - | 48.53 | - |
| 2022-11-27 | 26.82 | - | 7.28 | - | - | - | - | 46.99 | - |
| 2022-12-04 | 32.24 | - | 5.88 | - | - | - | - | 57.35 | - |
| 2022-12-11 | 36.34 | - | 18.47 | - | - | - | - | 61.96 | - |
| 2022-12-18 | 47.79 | - | 22.22 | - | - | - | - | 91.53 | - |
| 2022-12-25 | 42.06 | - | 10.21 | - | - | - | - | 62.38 | - |
| 2023-01-01 | 34.61 | - | 14.56 | - | - | - | - | 51.88 | - |
| 2023-01-08 | 30.72 | - | 11.17 | - | - | - | - | 53.22 | - |
| 2023-01-15 | 26.62 | - | 5.56 | - | - | - | - | 45.41 | - |
| 2023-01-22 | 38.80 | - | 16.96 | - | - | - | - | 66.05 | - |
| 2023-01-29 | 47.17 | - | 20.78 | - | - | - | - | 79.78 | - |
| 2023-02-05 | 66.17 | - | 41.07 | - | - | - | - | 102.76 | - |
| 2023-02-12 | 88.37 | - | 50.20 | - | - | - | - | 186.89 | - |
| 2023-02-19 | 108.63 | - | 60.23 | - | - | - | - | 192.06 | - |
| 2023-02-26 | 99.09 | - | 52.18 | - | - | - | - | 184.36 | - |
| 2023-03-05 | 110.48 | - | 64.82 | - | - | - | - | 231.95 | - |
| 2023-03-12 | 142.14 | - | 74.34 | - | - | - | - | 260.96 | - |
| 2023-03-19 | 180.21 | - | 106.31 | - | - | - | - | 286.13 | - |
| 2023-03-26 | 232.81 | - | 108.12 | - | - | - | - | 361.79 | - |
| 2023-04-02 | 268.78 | - | 152.06 | - | - | - | - | 369.81 | - |
| 2023-04-09 | 281.45 | - | 171.14 | - | - | - | - | 415.38 | - |
| 2023-04-16 | 318.32 | - | 207.68 | - | - | - | - | 429.67 | - |
| 2023-04-23 | 296.12 | - | 193.11 | - | - | - | - | 407.17 | - |
| 2023-04-30 | 302.46 | - | 176.30 | - | - | - | - | 420.09 | - |
| 2023-05-07 | 288.08 | - | 161.90 | - | - | - | - | 405.06 | - |
| 2023-05-14 | 209.04 | - | 113.99 | - | - | - | - | 340.54 | - |
| 2023-05-21 | 162.50 | - | 99.98 | - | - | - | - | 263.34 | - |
| 2023-05-28 | 136.32 | - | 81.54 | - | - | - | - | 265.85 | - |
| 2023-06-04 | 108.23 | - | 66.30 | - | - | - | - | 181.44 | - |
| 2023-06-11 | 102.53 | - | 65.11 | - | - | - | - | 166.23 | - |
| 2023-06-18 | 105.02 | - | 62.26 | - | - | - | - | 153.00 | - |
| 2023-06-25 | 102.26 | - | 63.67 | - | - | - | - | 165.70 | - |
| 2023-07-02 | 89.69 | - | 55.05 | - | - | - | - | 151.87 | - |
Bem-vindo ao Painel de Previsões Mosqlimate
Intervalo de Confiança
Para alternar os limites do Intervalo de Confiança da Previsão no gráfico, clique na legenda da Previsão
ou linha
Limites do Intervalo
Quando o Intervalo de Confiança estiver ativo, a Previsão exibirá os limites de 50% e 90% (superior e inferior)
