Healthcare
Visualizing the History of Pandemics
The History of Pandemics
Panยทdemยทic /panหdemik/ (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.
Todayโs visualization outlines some of historyโs 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 โ with larger cities, more exotic trade routes, and increased contact with different populations of people, animals, and ecosystems โ the more likely pandemics would occur.
Here are some of the major pandemics that have occurred over time:
Name | Time period | Type / Pre-human host | Death toll |
---|---|---|---|
Antonine Plague | 165-180 | Believed to be either smallpox or measles | 5M |
Japanese smallpox epidemic | 735-737 | Variola major virus | 1M |
Plague of Justinian | 541-542 | Yersinia pestis bacteria / Rats, fleas | 30-50M |
Black Death | 1347-1351 | Yersinia pestis bacteria / Rats, fleas | 200M |
New World Smallpox Outbreak | 1520 โ onwards | Variola major virus | 56M |
Great Plague of London | 1665 | Yersinia pestis bacteria / Rats, fleas | 100,000 |
Italian plague | 1629-1631 | Yersinia pestis bacteria / Rats, fleas | 1M |
Cholera Pandemics 1-6 | 1817-1923 | V. cholerae bacteria | 1M+ |
Third Plague | 1885 | Yersinia pestis bacteria / Rats, fleas | 12M (China and India) |
Yellow Fever | Late 1800s | Virus / Mosquitoes | 100,000-150,000 (U.S.) |
Russian Flu | 1889-1890 | Believed to be H2N2 (avian origin) | 1M |
Spanish Flu | 1918-1919 | H1N1 virus / Pigs | 40-50M |
Asian Flu | 1957-1958 | H2N2 virus | 1.1M |
Hong Kong Flu | 1968-1970 | H3N2 virus | 1M |
HIV/AIDS | 1981-present | Virus / Chimpanzees | 25-35M |
Swine Flu | 2009-2010 | H1N1 virus / Pigs | 200,000 |
SARS | 2002-2003 | Coronavirus / Bats, Civets | 770 |
Ebola | 2014-2016 | Ebolavirus / Wild animals | 11,000 |
MERS | 2015-Present | Coronavirus / Bats, camels | 850 |
COVID-19 | 2019-Present | Coronavirus โ 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 โ 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 Godโs punishment for his evil ways. Some historians found that this event could have dashed Emperor Justinianโs efforts to reunite the Western and Eastern remnants of the Roman Empire, and marked the beginning of the Dark Ages.
Luckily, humanityโs 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 โ the origin of the word quarantine from the Italian โquaranta giorniโ, 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 โ also known as R0 or “R naught.” This number tells us how many susceptible people, on average, each sick person will in turn infect.
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, humanityโs 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.
Healthcare
Mapped: Diabetes Rates by Country in 2021
Diabetes affects millions of people around the world, but the spread isn’t equal. This map highlights diabetes rates by country in 2021.

Mapping Diabetes Rates by Country in 2021
Despite advancements in healthcare lengthening life expectancy across the world, there are still many diseases that are hard to beat. One of these growing and costly diseases is diabetes, but each country is being hit differently.
One of the leading causes of death and disability globally, over half a billion people are living with diabetes today. The World Bankโs IDF Diabetes Atlas reveals that diabetes was responsible for 6.7 million deaths in 2021 alone.
In this graphic, Alberto Rojo Moro uses this World Bank Atlas to map diabetes rates by country, highlighting the countries with the highest rates of the disease.
What is Diabetes?
Diabetes (also known as diabetes mellitusis) a long-lasting condition that affects how the body turns food into energy.
Normally, our bodies break down the food we consume into glucose (a sugar) and release it into our blood. When our level of blood sugar rises, insulin produced by our pancreas signals the body to use excess glucose as energy or store it for later consumption.
Diabetes restricts the pancreas from producing this life-saving insulin properly, thus causing high blood sugar levels. These high glucose levels can eventually impact the heart, kidney, and vision. There are two main types of diabetes:
- Type 1 Diabetes: The immune system attacks and destroys the cells in your pancreas that make insulin. Causes are believed to be genetic and environmental.
- Type 2 Diabetes: The body becomes resistant to insulin or doesn’t produce enough insulin to regulate blood sugar levels. It is caused by a mix of lifestyle factors (including obesity, physical inactivity, poor diet, and smoking) and genetics.
Type 2 diabetes is by far the most common form of the disease, making up between 90-95% of global cases.
Diabetes Rates by Country
With close to 33 million (31%) of its adult population suffering from diabetes, Pakistan was the country with the highest prevalence of diabetes.
Rank | Country | % of Diabetic Population Aged 20-79 |
---|---|---|
1 | ๐ต๐ฐ Pakistan | 30.8 |
2 | ๐ต๐ซ French Polynesia | 25.2 |
3 | ๐ฐ๐ผ Kuwait | 24.9 |
4 | ๐ณ๐ท Nauru | 23.4 |
5 | ๐ณ๐จ New Caledonia | 23.4 |
6 | ๐ฒ๐ญ Marshall Islands | 23.0 |
7 | ๐ฒ๐บ Mauritius | 22.6 |
8 | ๐ฐ๐ฎ Kiribati | 22.1 |
9 | ๐ช๐ฌ Egypt | 20.9 |
10 | ๐ฆ๐ธ American Samoa | 20.3 |
11 | ๐น๐ป Tuvalu | 20.3 |
12 | ๐ธ๐ง Solomon Islands | 19.8 |
13 | ๐ถ๐ฆ Qatar | 19.5 |
14 | ๐ฌ๐บ Guam | 19.1 |
15 | ๐ฒ๐พ Malaysia | 19.0 |
16 | ๐ธ๐ฉ Sudan | 18.9 |
17 | ๐ธ๐ฆ Saudi Arabia | 18.7 |
18 | ๐ซ๐ฏ Fiji | 17.7 |
19 | ๐ต๐ผ Palau | 17.0 |
20 | ๐ฒ๐ฝ Mexico | 16.9 |
21 | ๐ต๐ฌ Papua New Guinea | 16.7 |
22 | ๐ฆ๐ช United Arab Emirates | 16.4 |
23 | ๐ฐ๐ณ Saint Kitts and Nevis | 16.1 |
24 | ๐ซ๐ฒ Micronesia | 15.6 |
25 | ๐ป๐บ Vanuatu | 15.6 |
26 | ๐ฏ๐ด Jordan | 15.4 |
27 | ๐น๐ด Tonga | 15.0 |
28 | ๐ธ๐พ Syria | 14.9 |
29 | ๐ง๐ฟ Belize | 14.5 |
30 | ๐น๐ท Turkey | 14.5 |
31 | ๐ง๐ฉ Bangladesh | 14.2 |
32 | ๐ง๐ง Barbados | 14.0 |
33 | ๐ด๐ฒ Oman | 13.8 |
34 | ๐ต๐ท Puerto Rico | 13.3 |
35 | ๐ฌ๐น Guatemala | 13.1 |
36 | ๐ง๐ฒ Bermuda | 13.0 |
37 | ๐ฐ๐พ Cayman Islands | 13.0 |
38 | ๐ธ๐ท Suriname | 12.7 |
39 | ๐น๐น Trinidad and Tobago | 12.7 |
40 | ๐ฌ๐ฉ Grenada | 12.6 |
41 | ๐ป๐ฎ United States Virgin Islands | 12.4 |
42 | ๐น๐ฟ Tanzania | 12.3 |
43 | ๐ฟ๐ฒ Zambia | 11.9 |
44 | ๐ฆ๐ฌ Antigua and Barbuda | 11.7 |
45 | ๐ฐ๐ฒ Comoros | 11.7 |
46 | ๐จ๐ผ Curacao | 11.7 |
47 | ๐ฉ๐ฒ Dominica | 11.7 |
48 | ๐ฌ๐พ Guyana | 11.7 |
49 | ๐ฑ๐จ Saint Lucia | 11.7 |
50 | ๐ธ๐ฌ Singapore | 11.6 |
51 | ๐ง๐ญ Bahrain | 11.3 |
52 | ๐ฑ๐ฐ Sri Lanka | 11.3 |
53 | ๐ง๐ณ Brunei | 11.1 |
54 | ๐ฏ๐ฒ Jamaica | 11.1 |
55 | ๐ฆ๐ซ Afghanistan | 10.9 |
56 | ๐จ๐ฑ Chile | 10.8 |
57 | ๐ฟ๐ฆ South Africa | 10.8 |
58 | ๐ฎ๐ถ Iraq | 10.7 |
59 | ๐บ๐ธ United States | 10.7 |
60 | ๐จ๐ณ China | 10.6 |
61 | ๐ฎ๐ฉ Indonesia | 10.6 |
62 | ๐ฉ๐ด Dominican Republic | 10.5 |
63 | ๐ง๐น Bhutan | 10.4 |
64 | ๐ช๐ธ Spain | 10.3 |
65 | ๐ฆ๐ฑ Albania | 10.2 |
66 | ๐ฆ๐ฉ Andorra | 9.7 |
67 | ๐น๐ญ Thailand | 9.7 |
68 | ๐น๐ณ Tunisia | 9.6 |
69 | ๐ป๐ช Venezuela | 9.6 |
70 | ๐ณ๐ฎ Nicaragua | 9.3 |
71 | ๐ฒ๐ป Maldives | 9.2 |
72 | ๐ต๐ธ Palestine | 9.2 |
73 | ๐ผ๐ธ Samoa | 9.2 |
74 | ๐ง๐ฆ Bosnia and Herzegovina | 9.1 |
75 | ๐ฎ๐ท Iran | 9.1 |
76 | ๐ฒ๐ช Montenegro | 9.1 |
77 | ๐ฒ๐ฆ Morocco | 9.1 |
78 | ๐ต๐น Portugal | 9.1 |
79 | ๐ท๐ธ Serbia | 9.1 |
80 | ๐บ๐พ Uruguay | 9.0 |
81 | ๐ญ๐น Haiti | 8.9 |
82 | ๐ง๐ธ Bahamas | 8.8 |
83 | ๐ง๐ท Brazil | 8.8 |
84 | ๐จ๐ท Costa Rica | 8.8 |
85 | ๐ป๐ฌ British Virgin Islands | 8.7 |
86 | ๐ฑ๐พ Libya | 8.7 |
87 | ๐ณ๐ต Nepal | 8.7 |
88 | ๐จ๐พ Cyprus | 8.6 |
89 | ๐ฐ๐ต North Korea | 8.6 |
90 | ๐น๐ฑ Timor | 8.6 |
91 | ๐ฎ๐ฑ Israel | 8.5 |
92 | ๐ธ๐จ Seychelles | 8.5 |
93 | ๐จ๐ด Colombia | 8.3 |
94 | ๐ต๐ฆ Panama | 8.2 |
95 | ๐ฑ๐ง Lebanon | 8.0 |
96 | ๐ฒ๐น Malta | 8.0 |
97 | ๐ป๐จ Saint Vincent and the Grenadines | 8.0 |
98 | ๐ญ๐ฐ Hong Kong | 7.8 |
99 | ๐ฒ๐ด Macao | 7.8 |
100 | ๐จ๐ฆ Canada | 7.7 |
101 | ๐จ๐บ Cuba | 7.6 |
102 | ๐ต๐พ Paraguay | 7.5 |
103 | ๐ง๐ฌ Bulgaria | 7.4 |
104 | ๐ฉ๐ฏ Djibouti | 7.4 |
105 | ๐ธ๐ฒ San Marino | 7.4 |
106 | ๐ฐ๐ญ Cambodia | 7.3 |
107 | ๐ฒ๐ผ Malawi | 7.3 |
108 | ๐ฉ๐ฟ Algeria | 7.1 |
109 | ๐จ๐ฟ Czechia | 7.1 |
110 | ๐ฒ๐ฒ Myanmar | 7.1 |
111 | ๐ต๐ญ Philippines | 7.1 |
112 | ๐ญ๐บ Hungary | 7.0 |
113 | ๐บ๐ฟ Uzbekistan | 7.0 |
114 | ๐ฉ๐ช Germany | 6.9 |
115 | ๐ฒ๐ณ Mongolia | 6.9 |
116 | ๐ต๐ฑ Poland | 6.8 |
117 | ๐ฐ๐ท South Korea | 6.8 |
118 | ๐ณ๐ฆ Namibia | 6.7 |
119 | ๐น๐ฒ Turkmenistan | 6.7 |
120 | ๐ฏ๐ต Japan | 6.6 |
121 | ๐ฐ๐ฟ Kazakhstan | 6.6 |
122 | ๐ฐ๐ฌ Kyrgyzstan | 6.6 |
123 | ๐น๐ฏ Tajikistan | 6.6 |
124 | ๐ง๐ฎ Burundi | 6.5 |
125 | ๐ช๐ท Eritrea | 6.5 |
126 | ๐ช๐ช Estonia | 6.5 |
127 | ๐ท๐ด Romania | 6.5 |
128 | ๐ท๐ผ Rwanda | 6.5 |
129 | ๐ธ๐ด Somalia | 6.5 |
130 | ๐ธ๐ธ South Sudan | 6.5 |
131 | ๐ฆ๐บ Australia | 6.4 |
132 | ๐ฌ๐ท Greece | 6.4 |
133 | ๐ฎ๐น Italy | 6.4 |
134 | ๐ธ๐ป El Salvador | 6.3 |
135 | ๐ฎ๐ฒ Isle of Man | 6.3 |
136 | ๐ฌ๐ง United Kingdom | 6.3 |
137 | ๐ฑ๐ฆ Laos | 6.2 |
138 | ๐ฒ๐จ Monaco | 6.2 |
139 | ๐ณ๐ฟ New Zealand | 6.2 |
140 | ๐ซ๐ฎ Finland | 6.1 |
141 | ๐ฑ๐ฎ Liechtenstein | 6.1 |
142 | ๐ฒ๐ฐ North Macedonia | 6.1 |
143 | ๐ป๐ณ Vietnam | 6.1 |
144 | ๐ฑ๐ป Latvia | 5.9 |
145 | ๐ฑ๐บ Luxembourg | 5.9 |
146 | ๐จ๐ซ Central African Republic | 5.8 |
147 | ๐น๐ฉ Chad | 5.8 |
148 | ๐จ๐ฉ Democratic Republic of Congo | 5.8 |
149 | ๐ฑ๐น Lithuania | 5.8 |
150 | ๐ธ๐ฐ Slovakia | 5.8 |
151 | ๐ฌ๐ช Georgia | 5.7 |
152 | ๐ฆ๐ฒ Armenia | 5.6 |
153 | ๐ฆ๐ฟ Azerbaijan | 5.6 |
154 | ๐ง๐พ Belarus | 5.6 |
155 | ๐ฒ๐ฉ Moldova | 5.6 |
156 | ๐ท๐บ Russia | 5.6 |
157 | ๐บ๐ฆ Ukraine | 5.6 |
158 | ๐ง๐ด Bolivia | 5.5 |
159 | ๐จ๐ฒ Cameroon | 5.5 |
160 | ๐จ๐ฌ Congo | 5.5 |
161 | ๐ฌ๐ถ Equatorial Guinea | 5.5 |
162 | ๐ฌ๐ฆ Gabon | 5.5 |
163 | ๐ฎ๐ธ Iceland | 5.5 |
164 | ๐ธ๐น Sao Tome and Principe | 5.5 |
165 | ๐ฆ๐ท Argentina | 5.4 |
166 | ๐พ๐ช Yemen | 5.4 |
167 | ๐ฉ๐ฐ Denmark | 5.3 |
168 | ๐ซ๐ท France | 5.3 |
169 | ๐ง๐ผ Botswana | 5.3 |
170 | ๐ณ๐ช Niger | 5.2 |
171 | ๐ญ๐ณ Honduras | 5.1 |
172 | ๐ช๐น Ethiopia | 5.0 |
173 | ๐ธ๐ช Sweden | 5.0 |
174 | ๐ญ๐ท Croatia | 4.8 |
175 | ๐ต๐ช Peru | 4.8 |
176 | ๐ฆ๐ด Angola | 4.6 |
177 | ๐ฆ๐น Austria | 4.6 |
178 | ๐ธ๐ฟ Eswatini | 4.6 |
179 | ๐ฑ๐ธ Lesotho | 4.6 |
180 | ๐ฒ๐ฌ Madagascar | 4.6 |
181 | ๐จ๐ญ Switzerland | 4.6 |
182 | ๐บ๐ฌ Uganda | 4.6 |
183 | ๐ณ๐ฑ Netherlands | 4.5 |
184 | ๐ช๐จ Ecuador | 4.4 |
185 | ๐ฆ๐ผ Aruba | 4.3 |
186 | ๐ฐ๐ช Kenya | 4.0 |
187 | ๐ซ๐ด Faroe Islands | 3.8 |
188 | ๐ง๐ช Belgium | 3.6 |
189 | ๐ณ๐ฌ Nigeria | 3.6 |
190 | ๐ณ๐ด Norway | 3.6 |
191 | ๐ฌ๐ฑ Greenland | 3.3 |
192 | ๐ฒ๐ฟ Mozambique | 3.3 |
193 | ๐ธ๐ณ Senegal | 3.1 |
194 | ๐ฎ๐ช Ireland | 3.0 |
195 | ๐ฌ๐ญ Ghana | 2.6 |
196 | ๐ง๐ซ Burkina Faso | 2.1 |
197 | ๐จ๐ป Cape Verde | 2.1 |
198 | ๐จ๐ฎ Cote d'Ivoire | 2.1 |
199 | ๐ฌ๐ณ Guinea | 2.1 |
200 | ๐ฌ๐ผ Guinea-Bissau | 2.1 |
201 | ๐ฑ๐ท Liberia | 2.1 |
202 | ๐ฒ๐ฑ Mali | 2.1 |
203 | ๐ฒ๐ท Mauritania | 2.1 |
204 | ๐ธ๐ฑ Sierra Leone | 2.1 |
205 | ๐น๐ฌ Togo | 2.1 |
206 | ๐ฟ๐ผ Zimbabwe | 2.1 |
207 | ๐ฌ๐ฒ Gambia | 1.9 |
208 | ๐ง๐ฏ Benin | 1.1 |
The situation in Pakistan is currently not expected to improve in the near future. By 2045, the country is estimated to have 62 million people suffering from diabetes due to numerous reasons including malnutrition.
This chronic disease has also reached alarming levels in many Oceanic island countries and territories, including French Polynesia, New Caledonia, and American Samoa. Each has a diabetic prevalence above 20%, with reasons ranging from malnutrition to obesity.
Meanwhile, African nations like Benin and The Gambia recorded the lowest prevalence of diabetes in the world. In 2021, African countries had a combined total of 23.6 million adults with diabetes, less than 2% of the continent’s population. However, this number is predicted to double to 55 million by 2045.
Most Diabetic Countries in Absolute Terms
In China, diabetes was prevalent in 10.6% of the nationโs adult population in 2021. While this only puts the country in 60th place in terms of prevalence rate, this is equivalent to roughly 140 million adults with diabetes because of the country’s large population.
Similarly, India’s 9.6% prevalence of diabetes equaled 77 million adults suffering from the disease in the country, more than double the number of Pakistanโs diabetic citizens.
A similar story follows in the Americas, where Mexico has the highest adult prevalence of diabetes at 16.9% or 14.1 million people. Though the U.S. has a lower rate at 10.7%, its higher population gives it an estimated 32.2 million adults with diabetes.
Breaking down diabetes rates by country highlights that this a global health challenge. To address the growing burden of diabetes, we need to focus on prevention, early detection, and management of diabetes.
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