Timeline Of Historical Pandemics
Tracing the Past to Prevent the Future
@kaggle.thedevastator_a_comprehensive_history_of_major_disease_outbrea
Tracing the Past to Prevent the Future
@kaggle.thedevastator_a_comprehensive_history_of_major_disease_outbrea
This dataset provides a comprehensive record of major disease outbreaks throughout history. It includes information on the disease, the death toll, the date and location of the outbreak, and the global and regional population lost.
Disease outbreaks are a major public health issue that can have devastating consequences. This dataset can help us better understand how these diseases spread and how to prevent them in the future. By studying this data, we can learn from past mistakes and take steps to avoid repeating them
This dataset provides a comprehensive record of major disease outbreaks throughout history. It includes information on the disease, the death toll, the date and location of the outbreak, and the global and regional population lost.
To use this dataset, simply download it as a CSV file and import it into your favourite data analysis software. From there, you can begin to explore the data and understand more about how these diseases have affected people throughout history
This dataset can be used to study the history of major disease outbreaks and the effects they have had on global and regional populations.
This dataset can be used to predict future disease outbreaks by identifying patterns and trends in past outbreaks.
This dataset can be used to develop better strategies for responding to and preventing future disease outbreaks
The dataset was compiled by the Centers for Disease Control and Prevention (CDC)
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
File: df_16.csv
File: df_26.csv
File: df_20.csv
File: df_18.csv
File: df_25.csv
File: df_11.csv
| Column name | Description |
|---|---|
| vteNatural disasters – list by death toll | This column lists natural disasters by death toll. (Categorical) |
| vteNatural disasters – list by death toll.1 | This column lists natural disasters by death toll and provides additional information on the disaster. (Categorical) |
File: df_1.csv
| Column name | Description |
|---|---|
| Rank | The rank of the disease outbreak. (Numeric) |
| Disease | The name of the disease. (String) |
| Death toll | The number of deaths caused by the disease outbreak. (Numeric) |
| Global population lost | The percentage of the global population lost to the disease outbreak. (Numeric) |
| Regional population lost | The percentage of the regional population lost to the disease outbreak. (Numeric) |
| Date | The date of the disease outbreak. (Date) |
| Location | The location of the disease outbreak. (String) |
File: df_4.csv
File: df_21.csv
File: df_17.csv
File: df_24.csv
File: df_9.csv
File: df_13.csv
File: df_14.csv
File: df_22.csv
File: df_15.csv
File: df_10.csv
File: df_3.csv
File: df_19.csv
File: df_2.csv
| Column name | Description |
|---|---|
| Date | The date of the disease outbreak. (Date) |
| Location | The location of the disease outbreak. (String) |
| Disease | The name of the disease. (String) |
| Event | A description of the disease outbreak. (String) |
| Death toll (estimate) | The estimated number of deaths from the disease outbreak. (Integer) |
| Ref. | A reference for the disease outbreak. (String) |
File: df_23.csv
File: df_12.csv
File: df_6.csv
File: df_7.csv
File: df_8.csv
File: df_5.csv
| Column name | Description |
|---|---|
| vteNatural disasters – list by death toll | This column lists natural disasters by death toll. (Categorical) |
| vteNatural disasters – list by death toll.1 | This column lists natural disasters by death toll and provides additional information on the disaster. (Categorical) |
CREATE TABLE df_1 (
"unnamed_0" BIGINT -- Unnamed: 0,
"rank" BIGINT,
"epidemics_pandemics" VARCHAR,
"disease" VARCHAR,
"death_toll" VARCHAR,
"global_population_lost" VARCHAR,
"regional_population_lost" VARCHAR,
"date" VARCHAR,
"location" VARCHAR
);CREATE TABLE df_11 (
"unnamed_0" BIGINT -- Unnamed: 0,
"vtenatural_disasters_list_by_death_toll" VARCHAR -- VteNatural Disasters – List By Death Toll,
"vtenatural_disasters_list_by_death_toll_1" VARCHAR -- VteNatural Disasters – List By Death Toll.1
);CREATE TABLE df_16 (
"unnamed_0" BIGINT -- Unnamed: 0,
"n_0" VARCHAR -- 0,
"n_1" VARCHAR -- 1
);CREATE TABLE df_2 (
"unnamed_0" BIGINT -- Unnamed: 0,
"event" VARCHAR,
"date" VARCHAR,
"location" VARCHAR,
"disease" VARCHAR,
"death_toll_estimate" VARCHAR -- Death Toll (estimate),
"ref" VARCHAR -- Ref.
);CREATE TABLE df_22 (
"unnamed_0" BIGINT -- Unnamed: 0,
"n_0" VARCHAR -- 0,
"n_1" VARCHAR -- 1
);CREATE TABLE df_24 (
"unnamed_0" BIGINT -- Unnamed: 0,
"vtehistory_of_medicine" VARCHAR,
"vtehistory_of_medicine_1" VARCHAR,
"vtehistory_of_medicine_2" VARCHAR
);CREATE TABLE df_25 (
"unnamed_0" BIGINT -- Unnamed: 0,
"vtepublic_health" VARCHAR,
"vtepublic_health_1" VARCHAR
);CREATE TABLE df_4 (
"unnamed_0" BIGINT -- Unnamed: 0,
"n_0" VARCHAR -- 0,
"n_1" VARCHAR -- 1
);CREATE TABLE df_5 (
"unnamed_0" BIGINT -- Unnamed: 0,
"vtenatural_disasters_list_by_death_toll" VARCHAR -- VteNatural Disasters – List By Death Toll,
"vtenatural_disasters_list_by_death_toll_1" VARCHAR -- VteNatural Disasters – List By Death Toll.1
);Anyone who has the link will be able to view this.