ℹ️ Skipped - page is already crawled
| Filter | Status | Condition | Details |
|---|---|---|---|
| HTTP status | PASS | download_http_code = 200 | HTTP 200 |
| Age cutoff | PASS | download_stamp > now() - 6 MONTH | 5.7 months ago (distributed domain, exempt) |
| History drop | PASS | isNull(history_drop_reason) | No drop reason |
| Spam/ban | PASS | fh_dont_index != 1 AND ml_spam_score = 0 | ml_spam_score=0 |
| Canonical | PASS | meta_canonical IS NULL OR = '' OR = src_unparsed | Not set |
| Property | Value |
|---|---|
| URL | https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases |
| Last Crawled | 2025-10-18 18:51:25 (5 months ago) |
| First Indexed | 2022-10-11 20:51:04 (3 years ago) |
| HTTP Status Code | 200 |
| Meta Title | European Centre for Disease Prevention and Control (ECDC) COVID-19 Cases - Azure Open Datasets | Microsoft Learn |
| Meta Description | Learn how to use the European Centre for Disease Prevention and Control (ECDC) COVID-19 Cases dataset in Azure Open Datasets. |
| Meta Canonical | null |
| Boilerpipe Text | The latest available public data on geographic distribution of COVID-19 cases worldwide from the European Center for Disease Prevention and Control (ECDC). Each row/entry contains the number of new cases reported per day and per country or region. Note Microsoft provides Azure Open Datasets on an “as is” basis. Microsoft makes no warranties, express or implied, guarantees or conditions with respect to your use of the datasets. To the extent permitted under your local law, Microsoft disclaims all liability for any damages or losses, including direct, consequential, special, indirect, incidental or punitive, resulting from your use of the datasets. This dataset is provided under the original terms that Microsoft received source data. The dataset may include data sourced from Microsoft. Modified versions of the dataset are available in CSV, JSON, JSON-Lines, and Parquet, updated daily: All modified versions have iso_country_region codes and load times added, and use lower case column names with underscore separators. Raw data:
https://pandemicdatalake.blob.core.windows.net/public/raw/covid-19/ecdc_cases/latest/ECDCCases.csv Previous versions of modified and raw data:
https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/ecdc_cases/ https://pandemicdatalake.blob.core.windows.net/public/raw/covid-19/ecdc_cases/ As of May 28, 2020 they contained 19,876 rows (CSV 1.5 MB, JSON 4.9 MB, JSONL 4.9 MB, Parquet 54.1 KB). Raw data is ingested daily from the ECDC csv file . For more information on this dataset, including its origins, see the ECDC data collection page . The ECDC does not guarantee the accuracy or timeliness of the data. Read the disclaimer . License and use rights attribution This data is made available and may be used as permitted under the ECDC copyright policy here. For any documents where the copyright lies with a third party, permission for reproduction must be obtained from the copyright holder. ECDC must always be acknowledged as the original source of this data. Such acknowledgment must be included in each copy of the material. For any questions or feedback about this or other datasets in the COVID-19 Data Lake, please contact askcovid19dl@microsoft.com. Name Data type Unique Values (sample) Description cases smallint 5,515 1 2 Number of reported cases continent_exp string 6 Europe Africa Continent name countries_and_territories string 214 Canada Belgium Country or territory name country_territory_code string 213 KOR ISL Three letter country or territory code date_rep date 350 2020-12-11 2020-11-22 Date of the report day smallint 31 14 13 Day of month deaths smallint 1,049 1 2 Number of reported deaths geo_id string 214 CA SE Geo identifier iso_country string 214 SE US ISO 3166 country or region code load_date timestamp 1 2021-04-26 00:06:22.123000 Date the data was loaded to Azure month smallint 12 10 8 Month number year smallint 2 2020 2019 Year date_rep day month year cases deaths countries_and_territories geo_id country_territory_code continent_exp load_date iso_country 2020-12-14 14 12 2020 746 6 Afghanistan AF AFG Asia 4/26/2021 12:06:22 AM AF 2020-12-13 13 12 2020 298 9 Afghanistan AF AFG Asia 4/26/2021 12:06:22 AM AF 2020-12-12 12 12 2020 113 11 Afghanistan AF AFG Asia 4/26/2021 12:06:22 AM AF 2020-12-11 11 12 2020 63 10 Afghanistan AF AFG Asia 4/26/2021 12:06:22 AM AF 2020-12-10 10 12 2020 202 16 Afghanistan AF AFG Asia 4/26/2021 12:06:22 AM AF 2020-12-09 9 12 2020 135 13 Afghanistan AF AFG Asia 4/26/2021 12:06:22 AM AF 2020-12-08 8 12 2020 200 6 Afghanistan AF AFG Asia 4/26/2021 12:06:22 AM AF 2020-12-07 7 12 2020 210 26 Afghanistan AF AFG Asia 4/26/2021 12:06:22 AM AF 2020-12-06 6 12 2020 234 10 Afghanistan AF AFG Asia 4/26/2021 12:06:22 AM AF 2020-12-05 5 12 2020 235 18 Afghanistan AF AFG Asia 4/26/2021 12:06:22 AM AF Sample not available for this platform/package combination.
blob_account_name = "pandemicdatalake"
blob_container_name = "public"
blob_relative_path = "curated/covid-19/ecdc_cases/latest/ecdc_cases.parquet"
blob_sas_token = r""
wasbs_path = 'wasbs://%s@%s.blob.core.windows.net/%s' % (blob_container_name, blob_account_name, blob_relative_path)
spark.conf.set(
'fs.azure.sas.%s.%s.blob.core.windows.net' % (blob_container_name, blob_account_name),
blob_sas_token)
print( 'Remote blob path: ' + wasbs_path)
df = spark.read.parquet(wasbs_path)
print( 'Register the DataFrame as a SQL temporary view: source' )
df.createOrReplaceTempView( 'source' )
print( 'Displaying top 10 rows: ' )
display(spark.sql( 'SELECT * FROM source LIMIT 10' ))
Sample not available for this platform/package combination.
blob_account_name = "pandemicdatalake"
blob_container_name = "public"
blob_relative_path = "curated/covid-19/ecdc_cases/latest/ecdc_cases.parquet"
blob_sas_token = r""
wasbs_path = 'wasbs://%s@%s.blob.core.windows.net/%s' % (blob_container_name, blob_account_name, blob_relative_path)
spark.conf.set(
'fs.azure.sas.%s.%s.blob.core.windows.net' % (blob_container_name, blob_account_name),
blob_sas_token)
print( 'Remote blob path: ' + wasbs_path)
df = spark.read.parquet(wasbs_path)
print( 'Register the DataFrame as a SQL temporary view: source' )
df.createOrReplaceTempView( 'source' )
print( 'Displaying top 10 rows: ' )
display(spark.sql( 'SELECT * FROM source LIMIT 10' ))
See examples of how this dataset can be used: View the rest of the datasets in the Open Datasets catalog . |
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- [Azure Open Datasets documentation](https://learn.microsoft.com/en-us/azure/open-datasets/)
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- [What are Azure Open Datasets?](https://learn.microsoft.com/en-us/azure/open-datasets/overview-what-are-open-datasets)
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- [Dataset catalog](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-catalog)
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- [COVID-19 data lake](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-covid-19-data-lake)
- [Bing COVID-19 Data](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-bing-covid-19)
- [COVID Tracking Project](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-covid-tracking)
- [ECDC COVID-19 cases](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases)
- [Oxford COVID-19 Government Response Tracker](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-oxford-covid-government-response-tracker)
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1. [Learn](https://learn.microsoft.com/en-us/)
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# European Centre for Disease Prevention and Control (ECDC) COVID-19 Cases
- 08/28/2024
Feedback
## In this article
1. [Datasets](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#datasets)
2. [Data volume](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#data-volume)
3. [Data source](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#data-source)
4. [Data quality](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#data-quality)
5. [License and use rights attribution](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#license-and-use-rights-attribution)
6. [Contact](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#contact)
7. [Columns](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#columns)
8. [Preview](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#preview)
9. [Data access](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#data-access)
10. [Examples](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#examples)
11. [Next steps](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#next-steps)
Show 7 more
The [latest available public data](https://www.ecdc.europa.eu/en/publications-data/download-todays-data-geographic-distribution-covid-19-cases-worldwide) on geographic distribution of COVID-19 cases worldwide from the European Center for Disease Prevention and Control (ECDC). Each row/entry contains the number of new cases reported per day and per country or region.
Note
Microsoft provides Azure Open Datasets on an “as is” basis. Microsoft makes no warranties, express or implied, guarantees or conditions with respect to your use of the datasets. To the extent permitted under your local law, Microsoft disclaims all liability for any damages or losses, including direct, consequential, special, indirect, incidental or punitive, resulting from your use of the datasets.
This dataset is provided under the original terms that Microsoft received source data. The dataset may include data sourced from Microsoft.
## Datasets
Modified versions of the dataset are available in CSV, JSON, JSON-Lines, and Parquet, updated daily:
- <https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/ecdc_cases/latest/ecdc_cases.csv>
- <https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/ecdc_cases/latest/ecdc_cases.json>
- <https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/ecdc_cases/latest/ecdc_cases.jsonl>
- <https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/ecdc_cases/latest/ecdc_cases.parquet>
All modified versions have iso\_country\_region codes and load times added, and use lower case column names with underscore separators.
Raw data: <https://pandemicdatalake.blob.core.windows.net/public/raw/covid-19/ecdc_cases/latest/ECDCCases.csv>
Previous versions of modified and raw data: <https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/ecdc_cases/> <https://pandemicdatalake.blob.core.windows.net/public/raw/covid-19/ecdc_cases/>
## Data volume
As of May 28, 2020 they contained 19,876 rows (CSV 1.5 MB, JSON 4.9 MB, JSONL 4.9 MB, Parquet 54.1 KB).
## Data source
Raw data is ingested daily from the [ECDC csv file](https://opendata.ecdc.europa.eu/covid19/casedistribution/csv). For more information on this dataset, including its origins, see the [ECDC data collection page](https://www.ecdc.europa.eu/en/covid-19/data-collection).
## Data quality
The ECDC does not guarantee the accuracy or timeliness of the data. [Read the disclaimer](https://www.ecdc.europa.eu/en/covid-19/data-collection).
## License and use rights attribution
This data is made available and may be used as permitted under the ECDC copyright policy here. For any documents where the copyright lies with a third party, permission for reproduction must be obtained from the copyright holder.
ECDC must always be acknowledged as the original source of this data. Such acknowledgment must be included in each copy of the material.
## Contact
For any questions or feedback about this or other datasets in the COVID-19 Data Lake, please contact askcovid19dl@microsoft.com.
## Columns
Expand table
| Name | Data type | Unique | Values (sample) | Description |
|---|---|---|---|---|
| cases | smallint | 5,515 | 1 2 | Number of reported cases |
| continent\_exp | string | 6 | Europe Africa | Continent name |
| countries\_and\_territories | string | 214 | Canada Belgium | Country or territory name |
| country\_territory\_code | string | 213 | KOR ISL | Three letter country or territory code |
| date\_rep | date | 350 | 2020-12-11 2020-11-22 | Date of the report |
| day | smallint | 31 | 14 13 | Day of month |
| deaths | smallint | 1,049 | 1 2 | Number of reported deaths |
| geo\_id | string | 214 | CA SE | Geo identifier |
| iso\_country | string | 214 | SE US | ISO 3166 country or region code |
| load\_date | timestamp | 1 | 2021-04-26 00:06:22.123000 | Date the data was loaded to Azure |
| month | smallint | 12 | 10 8 | Month number |
| year | smallint | 2 | 2020 2019 | Year |
## Preview
Expand table
| date\_rep | day | month | year | cases | deaths | countries\_and\_territories | geo\_id | country\_territory\_code | continent\_exp | load\_date | iso\_country |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2020-12-14 | 14 | 12 | 2020 | 746 | 6 | Afghanistan | AF | AFG | Asia | 4/26/2021 12:06:22 AM | AF |
| 2020-12-13 | 13 | 12 | 2020 | 298 | 9 | Afghanistan | AF | AFG | Asia | 4/26/2021 12:06:22 AM | AF |
| 2020-12-12 | 12 | 12 | 2020 | 113 | 11 | Afghanistan | AF | AFG | Asia | 4/26/2021 12:06:22 AM | AF |
| 2020-12-11 | 11 | 12 | 2020 | 63 | 10 | Afghanistan | AF | AFG | Asia | 4/26/2021 12:06:22 AM | AF |
| 2020-12-10 | 10 | 12 | 2020 | 202 | 16 | Afghanistan | AF | AFG | Asia | 4/26/2021 12:06:22 AM | AF |
| 2020-12-09 | 9 | 12 | 2020 | 135 | 13 | Afghanistan | AF | AFG | Asia | 4/26/2021 12:06:22 AM | AF |
| 2020-12-08 | 8 | 12 | 2020 | 200 | 6 | Afghanistan | AF | AFG | Asia | 4/26/2021 12:06:22 AM | AF |
| 2020-12-07 | 7 | 12 | 2020 | 210 | 26 | Afghanistan | AF | AFG | Asia | 4/26/2021 12:06:22 AM | AF |
| 2020-12-06 | 6 | 12 | 2020 | 234 | 10 | Afghanistan | AF | AFG | Asia | 4/26/2021 12:06:22 AM | AF |
| 2020-12-05 | 5 | 12 | 2020 | 235 | 18 | Afghanistan | AF | AFG | Asia | 4/26/2021 12:06:22 AM | AF |
## Data access
### Azure Notebooks
- [azure-storage](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#tabpanel_1_azure-storage)
- [pyspark](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#tabpanel_1_pyspark)
This notebook documents the URLs and sample code to access the European Centre for Disease Prevention and Control (ECDC) Covid-19 Cases dataset URLs of different dataset file formats hosted on Azure Blob Storage:¶ CSV: <https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/ecdc_cases/latest/ecdc_cases.csv>
JSON: <https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/ecdc_cases/latest/ecdc_cases.json>
JSONL: <https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/ecdc_cases/latest/ecdc_cases.jsonl>
Parquet: <https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/ecdc_cases/latest/ecdc_cases.parquet>
Download the dataset file using the built-in capability download from an http URL in Pandas. Pandas has readers for various file formats:
<https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_parquet.html>
<https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html>
Python
Copy
```
import pandas as pd
import numpy as np
%matplotlib inline
import matplotlib.pyplot as plt
df = pd.read_parquet("https://pandemicdatalake.blob.core.windows.net/public/curated/covid-19/ecdc_cases/latest/ecdc_cases.parquet")
df.head(10)
df.dtypes
df.groupby('countries_and_territories').first().filter(['continent_exp','cases', 'deaths','date_rep'])
df.groupby('continent_exp').agg({'countries_and_territories': 'count','cases': 'count','deaths': 'count'})
import plotly.graph_objects as go
import plotly.express as px
import matplotlib.pyplot as plt
df.loc[: , ['countries_and_territories', 'cases', 'deaths']].groupby(['countries_and_territories'
]).max().sort_values(by='cases',ascending=False).reset_index()[:15].style.background_gradient(cmap='rainbow')
df_Worldwide=df[df['countries_and_territories']=='United_States_of_America']
df.plot(kind='line',x='date_rep',y="cases",grid=True)
df.plot(kind='line',x='date_rep',y="deaths",grid=True)
#df_Worldwide.plot(kind='line',x='date_rep',y="confirmed_change",grid=True)
#df_Worldwide.plot(kind='line',x='date_rep',y="deaths_change",grid=True)
```
Sample not available for this platform/package combination.
### Azure Databricks
- [azure-storage](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#tabpanel_2_azure-storage)
- [pyspark](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#tabpanel_2_pyspark)
Sample not available for this platform/package combination.
Python
Copy
```
# Azure storage access info
blob_account_name = "pandemicdatalake"
blob_container_name = "public"
blob_relative_path = "curated/covid-19/ecdc_cases/latest/ecdc_cases.parquet"
blob_sas_token = r""
# Allow SPARK to read from Blob remotely
wasbs_path = 'wasbs://%s@%s.blob.core.windows.net/%s' % (blob_container_name, blob_account_name, blob_relative_path)
spark.conf.set(
'fs.azure.sas.%s.%s.blob.core.windows.net' % (blob_container_name, blob_account_name),
blob_sas_token)
print('Remote blob path: ' + wasbs_path)
# SPARK read parquet, note that it won't load any data yet by now
df = spark.read.parquet(wasbs_path)
print('Register the DataFrame as a SQL temporary view: source')
df.createOrReplaceTempView('source')
# Display top 10 rows
print('Displaying top 10 rows: ')
display(spark.sql('SELECT * FROM source LIMIT 10'))
```
### Azure Synapse
- [azure-storage](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#tabpanel_3_azure-storage)
- [pyspark](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#tabpanel_3_pyspark)
Sample not available for this platform/package combination.
Python
Copy
```
# Azure storage access info
blob_account_name = "pandemicdatalake"
blob_container_name = "public"
blob_relative_path = "curated/covid-19/ecdc_cases/latest/ecdc_cases.parquet"
blob_sas_token = r""
# Allow SPARK to read from Blob remotely
wasbs_path = 'wasbs://%s@%s.blob.core.windows.net/%s' % (blob_container_name, blob_account_name, blob_relative_path)
spark.conf.set(
'fs.azure.sas.%s.%s.blob.core.windows.net' % (blob_container_name, blob_account_name),
blob_sas_token)
print('Remote blob path: ' + wasbs_path)
# SPARK read parquet, note that it won't load any data yet by now
df = spark.read.parquet(wasbs_path)
print('Register the DataFrame as a SQL temporary view: source')
df.createOrReplaceTempView('source')
# Display top 10 rows
print('Displaying top 10 rows: ')
display(spark.sql('SELECT * FROM source LIMIT 10'))
```
## Examples
See examples of how this dataset can be used:
- [Analyze COVID data with Synapse SQL serverless endpoint](https://techcommunity.microsoft.com/t5/azure-synapse-analytics/how-azure-synapse-analytics-helps-you-analyze-covid-data-with/ba-p/1457836)
- [Linear regression analysis on COVID data using SQL endpoint in Azure Synapse Analytics](https://techcommunity.microsoft.com/t5/azure-synapse-analytics/linear-regression-analysis-on-covid-data-using-sql-endpoint-in/ba-p/1468697)
## Next steps
View the rest of the datasets in the [Open Datasets catalog](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-catalog).
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## In this article
1. [Datasets](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#datasets)
2. [Data volume](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#data-volume)
3. [Data source](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#data-source)
4. [Data quality](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#data-quality)
5. [License and use rights attribution](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#license-and-use-rights-attribution)
6. [Contact](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#contact)
7. [Columns](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#columns)
8. [Preview](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#preview)
9. [Data access](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#data-access)
10. [Examples](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#examples)
11. [Next steps](https://learn.microsoft.com/en-us/azure/open-datasets/dataset-ecdc-covid-cases#next-steps)
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