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Visualizing the History of Pandemics

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The History of Pandemics

Pan·dem·ic /panˈdemik/ (of a disease) prevalent over a whole country or the world.

As humans have spread across the world, so have infectious diseases. Even in this modern era, outbreaks are nearly constant, though not every outbreak reaches pandemic level as COVID-19 has.

Today’s visualization outlines some of history’s most deadly pandemics, from the Antonine Plague to the current COVID-19 event.

A Timeline of Historical Pandemics

Disease and illnesses have plagued humanity since the earliest days, our mortal flaw. However, it was not until the marked shift to agrarian communities that the scale and spread of these diseases increased dramatically.

Widespread trade created new opportunities for human and animal interactions that sped up such epidemics. Malaria, tuberculosis, leprosy, influenza, smallpox, and others first appeared during these early years.

The more civilized humans became – with larger cities, more exotic trade routes, and increased contact with different populations of people, animals, and ecosystems – the more likely pandemics would occur.

Here are some of the major pandemics that have occurred over time:

NameTime periodType / Pre-human hostDeath toll
Antonine Plague165-180Believed to be either smallpox or measles5M
Japanese smallpox epidemic735-737Variola major virus1M
Plague of Justinian541-542Yersinia pestis bacteria / Rats, fleas30-50M
Black Death1347-1351Yersinia pestis bacteria / Rats, fleas200M
New World Smallpox Outbreak1520 – onwardsVariola major virus56M
Great Plague of London1665Yersinia pestis bacteria / Rats, fleas100,000
Italian plague1629-1631Yersinia pestis bacteria / Rats, fleas1M
Cholera Pandemics 1-61817-1923V. cholerae bacteria1M+
Third Plague1885Yersinia pestis bacteria / Rats, fleas12M (China and India)
Yellow FeverLate 1800sVirus / Mosquitoes100,000-150,000 (U.S.)
Russian Flu1889-1890Believed to be H2N2 (avian origin)1M
Spanish Flu1918-1919H1N1 virus / Pigs40-50M
Asian Flu1957-1958H2N2 virus1.1M
Hong Kong Flu1968-1970H3N2 virus1M
HIV/AIDS1981-presentVirus / Chimpanzees25-35M
Swine Flu2009-2010H1N1 virus / Pigs200,000
SARS2002-2003Coronavirus / Bats, Civets770
Ebola2014-2016Ebolavirus / Wild animals11,000
MERS2015-PresentCoronavirus / Bats, camels850
COVID-192019-PresentCoronavirus – Unknown (possibly pangolins)6.9M (Johns Hopkins University estimate as of March 1, 2023)

Note: Many of the death toll numbers listed above are best estimates based on available research. Some, such as the Plague of Justinian and Swine Flu, are subject to debate based on new evidence.

Despite the persistence of disease and pandemics throughout history, there’s one consistent trend over time – a gradual reduction in the death rate. Healthcare improvements and understanding the factors that incubate pandemics have been powerful tools in mitigating their impact.

March 1, 2023 Update: Due to popular request, we’ve also visualized how the death tolls of each pandemic stack up as a share of total estimated global populations at the time.

Wrath of the Gods

In many ancient societies, people believed that spirits and gods inflicted disease and destruction upon those that deserved their wrath. This unscientific perception often led to disastrous responses that resulted in the deaths of thousands, if not millions.

In the case of Justinian’s plague, the Byzantine historian Procopius of Caesarea traced the origins of the plague (the Yersinia pestis bacteria) to China and northeast India, via land and sea trade routes to Egypt where it entered the Byzantine Empire through Mediterranean ports.

Despite his apparent knowledge of the role geography and trade played in this spread, Procopius laid blame for the outbreak on the Emperor Justinian, declaring him to be either a devil, or invoking God’s punishment for his evil ways. Some historians found that this event could have dashed Emperor Justinian’s efforts to reunite the Western and Eastern remnants of the Roman Empire, and marked the beginning of the Dark Ages.

Luckily, humanity’s understanding of the causes of disease has improved, and this is resulting in a drastic improvement in the response to modern pandemics, albeit slow and incomplete.

Importing Disease

The practice of quarantine began during the 14th century, in an effort to protect coastal cities from plague epidemics. Cautious port authorities required ships arriving in Venice from infected ports to sit at anchor for 40 days before landing — the origin of the word quarantine from the Italian “quaranta giorni”, or 40 days.

One of the first instances of relying on geography and statistical analysis was in mid-19th century London, during a cholera outbreak. In 1854, Dr. John Snow came to the conclusion that cholera was spreading via tainted water and decided to display neighborhood mortality data directly on a map. This method revealed a cluster of cases around a specific pump from which people were drawing their water from.

While the interactions created through trade and urban life play a pivotal role, it is also the virulent nature of particular diseases that indicate the trajectory of a pandemic.

Tracking Infectiousness

Scientists use a basic measure to track the infectiousness of a disease called the reproduction number — also known as R0 or “R naught.” This number tells us how many susceptible people, on average, each sick person will in turn infect.

Diagram showing R0, or how many people are infected on average by someone with a specific virus

Measles tops the list, being the most contagious with a R0 range of 12-18. This means a single person can infect, on average, 12 to 18 people in an unvaccinated population.

While measles may be the most virulent, vaccination efforts and herd immunity can curb its spread. The more people are immune to a disease, the less likely it is to proliferate, making vaccinations critical to prevent the resurgence of known and treatable diseases.

It’s hard to calculate and forecast the true impact of COVID-19, as the outbreak is still ongoing and researchers are still learning about this new form of coronavirus.

Urbanization and the Spread of Disease

We arrive at where we began, with rising global connections and interactions as a driving force behind pandemics. From small hunting and gathering tribes to the metropolis, humanity’s reliance on one another has also sparked opportunities for disease to spread.

Urbanization in the developing world is bringing more and more rural residents into denser neighborhoods, while population increases are putting greater pressure on the environment. At the same time, passenger air traffic nearly doubled in the past decade. These macro trends are having a profound impact on the spread of infectious disease.

As organizations and governments around the world ask for citizens to practice social distancing to help reduce the rate of infection, the digital world is allowing people to maintain connections and commerce like never before.

Editor’s Note: The COVID-19 pandemic is in its early stages and it is obviously impossible to predict its future impact. This post and infographic are meant to provide historical context, and we will continue to update it as time goes on to maintain its accuracy.

Update (March 1, 2023): We’ve adjusted the death toll for COVID-19, and will continue to update on a regular basis.

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Demographics

Charted: Global Tobacco Use by Country and Sex

This visual shows tobacco use by country and sex, highlighting which countries still have a high prevalence of smoking.

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Chart of tobacco use by country and sex in 2022

Charting Global Tobacco Use by Country and Sex

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Globally, rates of tobacco use have been falling for decades. Today, it is estimated that one-in-five people around the world use tobacco products, according to data from the World Health Organization (WHO).

That’s still enough people to have a sizable impact on both global healthcare and the environment. And the prevalence of tobacco use by country, and by sex, varies widely.

This chart shows current tobacco use in selected countries around the world using WHO estimates for 2022.

Which People Smoke the Most?

Below we examine the entire dataset of global countries by 2022 tobacco use. Estimates are of people aged 15 years and older and include both smoked and smokeless tobacco (including vaping). Countries that had no data for 2022 have been omitted.

In almost every country, males use tobacco more than females. Globally, 36% of men are tobacco users compared to just 8% of women.

CountryTotal Prevalence (%)Male (%)Female (%)
🇦🇫 Afghanistan22.138.35.9
🇦🇱 Albania22.438.76.6
🇩🇿 Algeria21.641.90.7
🇦🇩 Andorra33.633.333.8
🇦🇷 Argentina23.128.218.1
🇦🇲 Armenia22.549.31.7
🇦🇺 Australia12.514.810.3
🇦🇹 Austria22.023.720.5
🇦🇿 Azerbaijan19.339.60.1
🇧🇸 Bahamas10.720.62.1
🇧🇭 Bahrain18.125.74.9
🇧🇩 Bangladesh31.148.914.2
🇧🇧 Barbados6.511.71.7
🇧🇾 Belarus27.947.212.0
🇧🇪 Belgium24.727.422.1
🇧🇿 Belize8.715.51.9
🇧🇯 Benin5.59.51.7
🇧🇹 Bhutan19.627.211.0
🇧🇴 Bolivia12.220.44.1
🇧🇦 Bosnia and Herzegovina35.141.029.5
🇧🇼 Botswana18.130.26.5
🇧🇷 Brazil12.315.79.1
🇧🇳 Brunei Darussalam17.131.32.2
🇧🇬 Bulgaria34.038.130.2
🇧🇫 Burkina Faso13.521.75.5
🇧🇮 Burundi10.015.25.0
🇨🇻 Cabo Verde10.516.25.0
🇰🇭 Cambodia16.127.35.5
🇨🇲 Cameroon5.610.21.1
🇨🇦 Canada11.413.79.2
🇹🇩 Chad6.812.31.4
🇨🇱 Chile28.230.625.8
🇨🇳 China24.947.32.0
🇨🇴 Colombia8.212.14.5
🇰🇲 Comoros16.226.26.2
🇨🇬 Congo15.028.22.0
🇨🇰 Cook Islands25.530.321.4
🇨🇷 Costa Rica8.813.24.5
🇨🇮 Cöte d'Ivoire8.616.40.7
🇭🇷 Croatia32.634.231.1
🇨🇺 Cuba18.526.910.4
🇨🇾 Cyprus34.046.022.1
🇨🇿 Czechia27.531.723.3
🇨🇩 Democratic Republic of the Congo11.119.92.6
🇩🇰 Denmark16.216.416.0
🇩🇴 Dominican Republic10.214.06.5
🇪🇨 Ecuador10.117.62.6
🇪🇬 Egypt24.748.90.3
🇸🇻 El Salvador8.315.61.9
🇪🇪 Estonia25.632.919.1
🇸🇿 Eswatini8.616.21.4
🇪🇹 Ethiopia4.67.81.4
🇫🇯 Fiji27.341.713.1
🇫🇮 Finland19.623.915.4
🇫🇷 France29.231.327.3
🇬🇲 Gambia9.618.70.6
🇬🇪 Georgia29.054.77.1
🇩🇪 Germany18.821.316.4
🇬🇭 Ghana3.15.90.3
🇬🇷 Greece29.633.126.3
🇬🇹 Guatemala12.022.71.7
🇬🇼 Guinea-Bissau7.514.80.6
🇬🇾 Guyana10.519.32.2
🇭🇹 Haiti7.312.62.3
🇭🇳 Honduras12.222.71.7
🇭🇺 Hungary29.434.724.5
🇮🇸 Iceland9.49.49.4
🇮🇳 India23.936.810.4
🇮🇩 Indonesia38.573.63.4
🇮🇷 Iran (Islamic Republic of)13.924.83.1
🇮🇶 Iraq18.736.01.6
🇮🇪 Ireland18.220.516.1
🇮🇱 Israel19.826.413.3
🇮🇹 Italy20.424.116.8
🇯🇲 Jamaica9.515.83.5
🇯🇵 Japan16.826.57.7
🇯🇴 Jordan36.357.813.4
🇰🇿 Kazakhstan21.738.26.9
🇰🇪 Kenya9.216.62.1
🇰🇮 Kiribati38.251.625.7
🇰🇼 Kuwait22.735.62.1
🇰🇬 Kyrgyzstan26.451.33.3
🇱🇦 Lao People's Democratic Republic25.843.28.4
🇱🇻 Latvia30.345.617.2
🇱🇧 Lebanon34.043.125.7
🇱🇸 Lesotho22.942.04.8
🇱🇷 Liberia7.112.51.7
🇱🇹 Lithuania27.940.117.3
🇱🇺 Luxembourg21.823.320.3
🇲🇬 Madagascar25.741.79.9
🇲🇼 Malawi7.113.01.7
🇲🇾 Malaysia22.643.80.7
🇲🇻 Maldives29.343.610.1
🇲🇱 Mali7.614.40.7
🇲🇹 Malta23.225.520.6
🇲🇭 Marshall Islands30.451.88.6
🇲🇷 Mauritania9.417.22.0
🇲🇺 Mauritius20.038.12.8
🇲🇽 Mexico14.623.16.9
🇲🇳 Mongolia29.352.67.3
🇲🇪 Montenegro32.130.933.2
🇲🇦 Morocco13.125.31.0
🇲🇲 Myanmar43.969.419.2
🇳🇦 Namibia12.521.34.7
🇳🇷 Nauru49.550.348.7
🇳🇵 Nepal24.942.79.4
🇳🇱 Netherlands (Kingdom of the)20.122.517.7
🇳🇿 New Zealand11.412.710.2
🇳🇪 Niger7.714.01.3
🇳🇬 Nigeria2.95.40.4
🇳🇴 Norway14.014.813.2
🇴🇲 Oman11.017.40.4
🇵🇰 Pakistan16.927.76.2
🇵🇼 Palau17.026.37.3
🇵🇦 Panama5.18.41.9
🇵🇬 Papua New Guinea40.455.424.9
🇵🇾 Paraguay10.617.43.8
🇵🇪 Peru7.011.62.6
🇵🇭 Philippines20.436.24.3
🇵🇱 Poland23.227.619.1
🇵🇹 Portugal20.927.115.5
🇶🇦 Qatar18.824.62.3
🇰🇷 Republic of Korea18.932.75.4
🇲🇩 Republic of Moldova27.852.76.3
🇷🇴 Romania27.537.418.5
🇷🇺 Russian Federation27.242.014.8
🇷🇼 Rwanda12.017.76.7
🇱🇨 Saint Lucia13.624.83.0
🇼🇸 Samoa22.231.013.2
🇸🇹 Sao Tome and Principe7.112.61.8
🇸🇦 Saudi Arabia17.428.42.1
🇸🇳 Senegal6.011.70.6
🇷🇸 Serbia36.638.834.6
🇸🇨 Seychelles20.834.65.7
🇸🇱 Sierra Leone11.417.35.5
🇸🇬 Singapore16.427.94.0
🇸🇰 Slovakia30.235.425.4
🇸🇮 Slovenia18.120.215.9
🇸🇧 Solomon Islands37.655.319.6
🇿🇦 South Africa20.335.16.5
🇪🇸 Spain24.927.522.5
🇱🇰 Sri Lanka19.137.82.4
🇸🇪 Sweden22.128.315.9
🇨🇭 Switzerland23.326.320.4
🇹🇭 Thailand18.937.71.8
🇹🇱 Timor-Leste37.664.59.8
🇹🇬 Togo5.610.20.9
🇹🇴 Tonga30.746.815.5
🇹🇳 Tunisia20.139.71.6
🇹🇷 Türkiye30.741.919.6
🇹🇲 Turkmenistan5.410.60.5
🇹🇻 Tuvalu33.848.319.0
🇺🇬 Uganda5.39.01.8
🇺🇦 Ukraine22.038.38.5
🇦🇪 United Arab Emirates11.715.52.5
🇬🇧 United Kingdom13.115.011.4
🇹🇿 United Republic of Tanzania7.513.12.2
🇺🇸 United States of America23.028.617.5
🇺🇾 Uruguay19.323.016.0
🇺🇿 Uzbekistan16.231.81.0
🇻🇳 Viet Nam22.844.32.2
🇾🇪 Yemen20.833.77.9
🇿🇲 Zambia12.021.82.7
🇿🇼 Zimbabwe9.219.00.8

From a regional perspective, we can see many countries in Europe and Asia have higher rates of tobacco use. Indonesia and Myanmar specifically have some of the highest tobacco use rates in the world, with 73.6% of Indonesian men estimated to smoke or use tobacco.

In many Asian countries we also see a greater difference between male and female smokers compared to the rest of the world. In China for example, 47.3% of males are estimated to use tobacco compared to just 2.0% of females.

On the other hand, the Americas and especially Africa have a lower prevalence of tobacco use. Nigeria at 2.9% had the lowest rate of tobacco use in the world in 2022.

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