Timeline Of Historical Pandemics by Kaggle | Other

About this Dataset

Timeline Of Historical Pandemics

A Comprehensive History of Major Disease Outbreaks

Tracing the Past to Prevent the Future

About this dataset

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

How to use the dataset

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

Research Ideas

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

Acknowledgements

The dataset was compiled by the Centers for Disease Control and Prevention (CDC)

License

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.

Columns

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)

Tables

Df 1

@kaggle.thedevastator_a_comprehensive_history_of_major_disease_outbrea.df_1

8.52 KB
19 rows
9 columns


CREATE TABLE df_1 (
  "unnamed_0" BIGINT,
  "rank" BIGINT,
  "epidemics_pandemics" VARCHAR,
  "disease" VARCHAR,
  "death_toll" VARCHAR,
  "global_population_lost" VARCHAR,
  "regional_population_lost" VARCHAR,
  "date" VARCHAR,
  "location" VARCHAR
);

Df 11

@kaggle.thedevastator_a_comprehensive_history_of_major_disease_outbrea.df_11

4.26 KB
14 rows
3 columns


CREATE TABLE df_11 (
  "unnamed_0" BIGINT,
  "vtenatural_disasters_list_by_death_toll" VARCHAR,
  "vtenatural_disasters_list_by_death_toll_1" VARCHAR
);

Df 16

@kaggle.thedevastator_a_comprehensive_history_of_major_disease_outbrea.df_16

7.91 KB
10 rows
3 columns


CREATE TABLE df_16 (
  "unnamed_0" BIGINT,
  "n_0" VARCHAR,
  "n_1" VARCHAR
);

Df 2

@kaggle.thedevastator_a_comprehensive_history_of_major_disease_outbrea.df_2

21.23 KB
253 rows
7 columns


CREATE TABLE df_2 (
  "unnamed_0" BIGINT,
  "event" VARCHAR,
  "date" VARCHAR,
  "location" VARCHAR,
  "disease" VARCHAR,
  "death_toll_estimate" VARCHAR,
  "ref" VARCHAR
);

Df 22

@kaggle.thedevastator_a_comprehensive_history_of_major_disease_outbrea.df_22

10.44 KB
1 row
3 columns


CREATE TABLE df_22 (
  "unnamed_0" BIGINT,
  "n_0" VARCHAR,
  "n_1" VARCHAR
);

Df 24

@kaggle.thedevastator_a_comprehensive_history_of_major_disease_outbrea.df_24

5.61 KB
7 rows
4 columns


CREATE TABLE df_24 (
  "unnamed_0" BIGINT,
  "vtehistory_of_medicine" VARCHAR,
  "vtehistory_of_medicine_1" VARCHAR,
  "vtehistory_of_medicine_2" VARCHAR
);

Df 25

@kaggle.thedevastator_a_comprehensive_history_of_major_disease_outbrea.df_25

6.42 KB
12 rows
3 columns


CREATE TABLE df_25 (
  "unnamed_0" BIGINT,
  "vtepublic_health" VARCHAR,
  "vtepublic_health_1" VARCHAR
);

Df 4

@kaggle.thedevastator_a_comprehensive_history_of_major_disease_outbrea.df_4

9.6 KB
22 rows
3 columns


CREATE TABLE df_4 (
  "unnamed_0" BIGINT,
  "n_0" VARCHAR,
  "n_1" VARCHAR
);

Df 5

@kaggle.thedevastator_a_comprehensive_history_of_major_disease_outbrea.df_5

4.26 KB
14 rows
3 columns


CREATE TABLE df_5 (
  "unnamed_0" BIGINT,
  "vtenatural_disasters_list_by_death_toll" VARCHAR,
  "vtenatural_disasters_list_by_death_toll_1" VARCHAR
);