COVID_19_Deaths_Hubei_Italy.ipynb

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      "name": "COVID-19-Deaths-Hubei-Italy.ipynb",
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      "source": [
        "<a href=\"https://colab.research.google.com/github/alonsosilvaallende/COVID-19/blob/master/COVID_19_Deaths_Hubei_Italy.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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    {
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      "metadata": {
        "id": "VnW2bPLbxqND",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "plt.style.use('seaborn')"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "yYSuxLhBycRj",
        "colab_type": "code",
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      },
      "source": [
        "cases = pd.read_csv(\"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv\")\n",
        "deaths = pd.read_csv(\"https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv\")"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
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          "base_uri": "https://localhost:8080/",
          "height": 163
        },
        "outputId": "60c003ad-e733-482c-b22d-3791ad80f910"
      },
      "source": [
        "cases.head(3)"
      ],
      "execution_count": 3,
      "outputs": [
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            ],
            "text/plain": [
              "  Province/State Country/Region      Lat  ...  3/22/20  3/23/20  3/24/20\n",
              "0            NaN    Afghanistan  33.0000  ...       40       40       74\n",
              "1            NaN        Albania  41.1533  ...       89      104      123\n",
              "2            NaN        Algeria  28.0339  ...      201      230      264\n",
              "\n",
              "[3 rows x 67 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 3
        }
      ]
    },
    {
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        "id": "tPexEDvmx5DS",
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          "height": 163
        },
        "outputId": "dc102bd6-7ac1-4264-b91b-0bd8f959a198"
      },
      "source": [
        "deaths.head(3)"
      ],
      "execution_count": 4,
      "outputs": [
        {
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              "      <td>Albania</td>\n",
              "      <td>41.1533</td>\n",
              "      <td>20.1683</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>2</td>\n",
              "      <td>4</td>\n",
              "      <td>5</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>NaN</td>\n",
              "      <td>Algeria</td>\n",
              "      <td>28.0339</td>\n",
              "      <td>1.6596</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>3</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>4</td>\n",
              "      <td>7</td>\n",
              "      <td>9</td>\n",
              "      <td>11</td>\n",
              "      <td>15</td>\n",
              "      <td>17</td>\n",
              "      <td>17</td>\n",
              "      <td>19</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>"
            ],
            "text/plain": [
              "  Province/State Country/Region      Lat  ...  3/22/20  3/23/20  3/24/20\n",
              "0            NaN    Afghanistan  33.0000  ...        1        1        1\n",
              "1            NaN        Albania  41.1533  ...        2        4        5\n",
              "2            NaN        Algeria  28.0339  ...       17       17       19\n",
              "\n",
              "[3 rows x 67 columns]"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "dCm7RlVmx8rE",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "index_Hubei = deaths[deaths['Province/State'] == 'Hubei'].index[0]\n",
        "index_Italy = deaths[deaths['Country/Region'] == 'Italy'].index[0]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6rNcn0WxyG2d",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "4d220a80-f88a-4178-e385-1afd6d17d325"
      },
      "source": [
        "index_Hubei, index_Italy"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(62, 137)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6kuVt4rfyKNc",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Hubei_deaths = deaths.iloc[index_Hubei,4:]\n",
        "Italy_deaths = deaths.iloc[index_Italy,4:]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "o8SznWZ8yUi8",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Hubei_cases = cases.iloc[index_Hubei,4:]\n",
        "Italy_cases = cases.iloc[index_Italy,4:]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "8nAH7r7vylHS",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Italy_new_cases = [t - s for s, t in zip(Italy_cases, Italy_cases[1:])]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "N6v8dTT-ypDJ",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Italy_new = pd.Series()\n",
        "for i, v in enumerate(Italy_new_cases):\n",
        "  Italy_new[(pd.to_datetime('2020-01-22') + pd.DateOffset(i+1)).strftime('%y-%m-%d')] = v"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "juPw8AQ5y1ay",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 123
        },
        "outputId": "7d6638d3-fa19-4a48-fb6e-49aefdaba9ea"
      },
      "source": [
        "Italy_new.head()"
      ],
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "20-01-23    0\n",
              "20-01-24    0\n",
              "20-01-25    0\n",
              "20-01-26    0\n",
              "20-01-27    0\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "rNwsP0gPy4ke",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Italy_new_TP = Italy_new[Italy_new>100]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "NVH2iEY5y-NK",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 88
        },
        "outputId": "c56a1ec9-5343-4d53-efcb-baa94fd97b67"
      },
      "source": [
        "Italy_new_TP[:3]"
      ],
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "20-02-26    131\n",
              "20-02-27    202\n",
              "20-02-28    233\n",
              "dtype: int64"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 13
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "4wN64Jh-zEz1",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Italy_TP_date = '2020-02-26'\n",
        "Italy_lockdown = '2020-03-10'\n",
        "Hubei_lockdown = '2020-01-24'"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ReFKO__BzLco",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Italy_deaths = Italy_deaths[35:]"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "LSbYpkc7zR-6",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Hubei_gap = (pd.to_datetime(Hubei_lockdown)-pd.to_datetime('2020-01-21')).days"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "PEzjFnWLzUyY",
        "colab_type": "code",
        "colab": {}
      },
      "source": [
        "Italy_gap = (pd.to_datetime(Italy_lockdown)-pd.to_datetime(Italy_TP_date)).days"
      ],
      "execution_count": 0,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "R-JQP9ynGsSD",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 35
        },
        "outputId": "cc5cf96d-ee76-49ff-db2d-ed4582ba79ec"
      },
      "source": [
        "Hubei_gap, Italy_gap"
      ],
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(3, 13)"
            ]
          },
          "metadata": {
            "tags": []
          },
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "E_13K7gdzX1Z",
        "colab_type": "code",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 463
        },
        "outputId": "bf60ec6e-93d9-461b-b797-fed3028b6177"
      },
      "source": [
        "fig, ax = plt.subplots(figsize=(10,7))\n",
        "\n",
        "plt.plot(np.arange(1, len(Hubei_deaths), 1), Hubei_deaths[:-1], label='Hubei (China)', linewidth=2, color='C0', marker='o')\n",
        "plt.plot(np.arange(len(Italy_deaths)), Italy_deaths, label='Italia', linewidth=2, color='C1', marker='o')\n",
        "\n",
        "plt.axvline(Hubei_gap, color='C0', linestyle='dashed')\n",
        "plt.axvline(Italy_gap, color='C1', linestyle='dashed')\n",
        "\n",
        "plt.annotate('<- Confinamientos\\n de Hubei (China)', (Hubei_gap,5000.0), color='C0', fontsize='x-large', fontweight='bold')\n",
        "plt.annotate('<- Confinamiento\\n de Italia', (Italy_gap,5000.0), color='C1', fontsize='x-large', fontweight='bold')\n",
        "\n",
        "ax.set_title('COVID-19: Número de muertes totales vs número de días desde 100 nuevos casos confirmados diarios', fontsize='x-large')\n",
        "ax.set_xlabel('número de días desde 100 nuevos casos confirmados diarios', fontsize='x-large')\n",
        "ax.set_ylabel('número de muertes totales', fontsize='x-large')\n",
        "ax.set_xticks(np.arange(len(Hubei_cases)))\n",
        "# plt.yscale(\"log\")\n",
        "plt.xlim(0,30)\n",
        "plt.legend(fontsize='x-large')\n",
        "plt.show()"
      ],
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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V0m+u6enpKC8vx//+9z8wxlBYWNjqwq2trY3Ro0dj48aNyMjIQH19vfQtDQUF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\n",
            "text/plain": [
              "<Figure size 720x504 with 1 Axes>"
            ]
          },
          "metadata": {
            "tags": []
          }
        }
      ]
    }
  ]
}