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Visualizing the History of Pandemics

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The History of Pandemics

Panยทdemยทic /panหˆdemik/ (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.

Todayโ€™s visualization outlines some of historyโ€™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 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:

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 โ€“ 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 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 Godโ€™s punishment for his evil ways. Some historians found that this event could have dashed Emperor Justinianโ€™s efforts to reunite the Western and Eastern remnants of the Roman Empire, and marked the beginning of the Dark Ages.

Luckily, humanityโ€™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 โ€” the origin of the word quarantine from the Italian โ€œquaranta 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.

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, humanityโ€™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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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.

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Shareable diabetic population

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 Bankโ€™s 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.

RankCountry% of Diabetic Population Aged 20-79
1๐Ÿ‡ต๐Ÿ‡ฐ Pakistan30.8
2๐Ÿ‡ต๐Ÿ‡ซ French Polynesia25.2
3๐Ÿ‡ฐ๐Ÿ‡ผ Kuwait24.9
4๐Ÿ‡ณ๐Ÿ‡ท Nauru23.4
5๐Ÿ‡ณ๐Ÿ‡จ New Caledonia23.4
6๐Ÿ‡ฒ๐Ÿ‡ญ Marshall Islands23.0
7๐Ÿ‡ฒ๐Ÿ‡บ Mauritius22.6
8๐Ÿ‡ฐ๐Ÿ‡ฎ Kiribati22.1
9๐Ÿ‡ช๐Ÿ‡ฌ Egypt20.9
10๐Ÿ‡ฆ๐Ÿ‡ธ American Samoa20.3
11๐Ÿ‡น๐Ÿ‡ป Tuvalu20.3
12๐Ÿ‡ธ๐Ÿ‡ง Solomon Islands19.8
13๐Ÿ‡ถ๐Ÿ‡ฆ Qatar19.5
14๐Ÿ‡ฌ๐Ÿ‡บ Guam19.1
15๐Ÿ‡ฒ๐Ÿ‡พ Malaysia19.0
16๐Ÿ‡ธ๐Ÿ‡ฉ Sudan18.9
17๐Ÿ‡ธ๐Ÿ‡ฆ Saudi Arabia18.7
18๐Ÿ‡ซ๐Ÿ‡ฏ Fiji17.7
19๐Ÿ‡ต๐Ÿ‡ผ Palau17.0
20๐Ÿ‡ฒ๐Ÿ‡ฝ Mexico16.9
21๐Ÿ‡ต๐Ÿ‡ฌ Papua New Guinea16.7
22๐Ÿ‡ฆ๐Ÿ‡ช United Arab Emirates16.4
23๐Ÿ‡ฐ๐Ÿ‡ณ Saint Kitts and Nevis16.1
24๐Ÿ‡ซ๐Ÿ‡ฒ Micronesia15.6
25๐Ÿ‡ป๐Ÿ‡บ Vanuatu15.6
26๐Ÿ‡ฏ๐Ÿ‡ด Jordan15.4
27๐Ÿ‡น๐Ÿ‡ด Tonga15.0
28๐Ÿ‡ธ๐Ÿ‡พ Syria14.9
29๐Ÿ‡ง๐Ÿ‡ฟ Belize14.5
30๐Ÿ‡น๐Ÿ‡ท Turkey14.5
31๐Ÿ‡ง๐Ÿ‡ฉ Bangladesh14.2
32๐Ÿ‡ง๐Ÿ‡ง Barbados14.0
33๐Ÿ‡ด๐Ÿ‡ฒ Oman13.8
34๐Ÿ‡ต๐Ÿ‡ท Puerto Rico13.3
35๐Ÿ‡ฌ๐Ÿ‡น Guatemala13.1
36๐Ÿ‡ง๐Ÿ‡ฒ Bermuda13.0
37๐Ÿ‡ฐ๐Ÿ‡พ Cayman Islands13.0
38๐Ÿ‡ธ๐Ÿ‡ท Suriname12.7
39๐Ÿ‡น๐Ÿ‡น Trinidad and Tobago12.7
40๐Ÿ‡ฌ๐Ÿ‡ฉ Grenada12.6
41๐Ÿ‡ป๐Ÿ‡ฎ United States Virgin Islands12.4
42๐Ÿ‡น๐Ÿ‡ฟ Tanzania12.3
43๐Ÿ‡ฟ๐Ÿ‡ฒ Zambia11.9
44๐Ÿ‡ฆ๐Ÿ‡ฌ Antigua and Barbuda11.7
45๐Ÿ‡ฐ๐Ÿ‡ฒ Comoros11.7
46๐Ÿ‡จ๐Ÿ‡ผ Curacao11.7
47๐Ÿ‡ฉ๐Ÿ‡ฒ Dominica11.7
48๐Ÿ‡ฌ๐Ÿ‡พ Guyana11.7
49๐Ÿ‡ฑ๐Ÿ‡จ Saint Lucia11.7
50๐Ÿ‡ธ๐Ÿ‡ฌ Singapore11.6
51๐Ÿ‡ง๐Ÿ‡ญ Bahrain11.3
52๐Ÿ‡ฑ๐Ÿ‡ฐ Sri Lanka11.3
53๐Ÿ‡ง๐Ÿ‡ณ Brunei11.1
54๐Ÿ‡ฏ๐Ÿ‡ฒ Jamaica11.1
55๐Ÿ‡ฆ๐Ÿ‡ซ Afghanistan10.9
56๐Ÿ‡จ๐Ÿ‡ฑ Chile10.8
57๐Ÿ‡ฟ๐Ÿ‡ฆ South Africa10.8
58๐Ÿ‡ฎ๐Ÿ‡ถ Iraq10.7
59๐Ÿ‡บ๐Ÿ‡ธ United States10.7
60๐Ÿ‡จ๐Ÿ‡ณ China10.6
61๐Ÿ‡ฎ๐Ÿ‡ฉ Indonesia10.6
62๐Ÿ‡ฉ๐Ÿ‡ด Dominican Republic10.5
63๐Ÿ‡ง๐Ÿ‡น Bhutan10.4
64๐Ÿ‡ช๐Ÿ‡ธ Spain10.3
65๐Ÿ‡ฆ๐Ÿ‡ฑ Albania10.2
66๐Ÿ‡ฆ๐Ÿ‡ฉ Andorra9.7
67๐Ÿ‡น๐Ÿ‡ญ Thailand9.7
68๐Ÿ‡น๐Ÿ‡ณ Tunisia9.6
69๐Ÿ‡ป๐Ÿ‡ช Venezuela9.6
70๐Ÿ‡ณ๐Ÿ‡ฎ Nicaragua9.3
71๐Ÿ‡ฒ๐Ÿ‡ป Maldives9.2
72๐Ÿ‡ต๐Ÿ‡ธ Palestine9.2
73๐Ÿ‡ผ๐Ÿ‡ธ Samoa9.2
74๐Ÿ‡ง๐Ÿ‡ฆ Bosnia and Herzegovina9.1
75๐Ÿ‡ฎ๐Ÿ‡ท Iran9.1
76๐Ÿ‡ฒ๐Ÿ‡ช Montenegro9.1
77๐Ÿ‡ฒ๐Ÿ‡ฆ Morocco9.1
78๐Ÿ‡ต๐Ÿ‡น Portugal9.1
79๐Ÿ‡ท๐Ÿ‡ธ Serbia9.1
80๐Ÿ‡บ๐Ÿ‡พ Uruguay9.0
81๐Ÿ‡ญ๐Ÿ‡น Haiti8.9
82๐Ÿ‡ง๐Ÿ‡ธ Bahamas8.8
83๐Ÿ‡ง๐Ÿ‡ท Brazil8.8
84๐Ÿ‡จ๐Ÿ‡ท Costa Rica8.8
85๐Ÿ‡ป๐Ÿ‡ฌ British Virgin Islands8.7
86๐Ÿ‡ฑ๐Ÿ‡พ Libya8.7
87๐Ÿ‡ณ๐Ÿ‡ต Nepal8.7
88๐Ÿ‡จ๐Ÿ‡พ Cyprus8.6
89๐Ÿ‡ฐ๐Ÿ‡ต North Korea8.6
90๐Ÿ‡น๐Ÿ‡ฑ Timor8.6
91๐Ÿ‡ฎ๐Ÿ‡ฑ Israel8.5
92๐Ÿ‡ธ๐Ÿ‡จ Seychelles8.5
93๐Ÿ‡จ๐Ÿ‡ด Colombia8.3
94๐Ÿ‡ต๐Ÿ‡ฆ Panama8.2
95๐Ÿ‡ฑ๐Ÿ‡ง Lebanon8.0
96๐Ÿ‡ฒ๐Ÿ‡น Malta8.0
97๐Ÿ‡ป๐Ÿ‡จ Saint Vincent and the Grenadines8.0
98๐Ÿ‡ญ๐Ÿ‡ฐ Hong Kong7.8
99๐Ÿ‡ฒ๐Ÿ‡ด Macao7.8
100๐Ÿ‡จ๐Ÿ‡ฆ Canada7.7
101๐Ÿ‡จ๐Ÿ‡บ Cuba7.6
102๐Ÿ‡ต๐Ÿ‡พ Paraguay7.5
103๐Ÿ‡ง๐Ÿ‡ฌ Bulgaria7.4
104๐Ÿ‡ฉ๐Ÿ‡ฏ Djibouti7.4
105๐Ÿ‡ธ๐Ÿ‡ฒ San Marino7.4
106๐Ÿ‡ฐ๐Ÿ‡ญ Cambodia7.3
107๐Ÿ‡ฒ๐Ÿ‡ผ Malawi7.3
108๐Ÿ‡ฉ๐Ÿ‡ฟ Algeria7.1
109๐Ÿ‡จ๐Ÿ‡ฟ Czechia7.1
110๐Ÿ‡ฒ๐Ÿ‡ฒ Myanmar7.1
111๐Ÿ‡ต๐Ÿ‡ญ Philippines7.1
112๐Ÿ‡ญ๐Ÿ‡บ Hungary7.0
113๐Ÿ‡บ๐Ÿ‡ฟ Uzbekistan7.0
114๐Ÿ‡ฉ๐Ÿ‡ช Germany6.9
115๐Ÿ‡ฒ๐Ÿ‡ณ Mongolia6.9
116๐Ÿ‡ต๐Ÿ‡ฑ Poland6.8
117๐Ÿ‡ฐ๐Ÿ‡ท South Korea6.8
118๐Ÿ‡ณ๐Ÿ‡ฆ Namibia6.7
119๐Ÿ‡น๐Ÿ‡ฒ Turkmenistan6.7
120๐Ÿ‡ฏ๐Ÿ‡ต Japan6.6
121๐Ÿ‡ฐ๐Ÿ‡ฟ Kazakhstan6.6
122๐Ÿ‡ฐ๐Ÿ‡ฌ Kyrgyzstan6.6
123๐Ÿ‡น๐Ÿ‡ฏ Tajikistan6.6
124๐Ÿ‡ง๐Ÿ‡ฎ Burundi6.5
125๐Ÿ‡ช๐Ÿ‡ท Eritrea6.5
126๐Ÿ‡ช๐Ÿ‡ช Estonia6.5
127๐Ÿ‡ท๐Ÿ‡ด Romania6.5
128๐Ÿ‡ท๐Ÿ‡ผ Rwanda6.5
129๐Ÿ‡ธ๐Ÿ‡ด Somalia6.5
130๐Ÿ‡ธ๐Ÿ‡ธ South Sudan6.5
131๐Ÿ‡ฆ๐Ÿ‡บ Australia6.4
132๐Ÿ‡ฌ๐Ÿ‡ท Greece6.4
133๐Ÿ‡ฎ๐Ÿ‡น Italy6.4
134๐Ÿ‡ธ๐Ÿ‡ป El Salvador6.3
135๐Ÿ‡ฎ๐Ÿ‡ฒ Isle of Man6.3
136๐Ÿ‡ฌ๐Ÿ‡ง United Kingdom6.3
137๐Ÿ‡ฑ๐Ÿ‡ฆ Laos6.2
138๐Ÿ‡ฒ๐Ÿ‡จ Monaco6.2
139๐Ÿ‡ณ๐Ÿ‡ฟ New Zealand6.2
140๐Ÿ‡ซ๐Ÿ‡ฎ Finland6.1
141๐Ÿ‡ฑ๐Ÿ‡ฎ Liechtenstein6.1
142๐Ÿ‡ฒ๐Ÿ‡ฐ North Macedonia6.1
143๐Ÿ‡ป๐Ÿ‡ณ Vietnam6.1
144๐Ÿ‡ฑ๐Ÿ‡ป Latvia5.9
145๐Ÿ‡ฑ๐Ÿ‡บ Luxembourg5.9
146๐Ÿ‡จ๐Ÿ‡ซ Central African Republic5.8
147๐Ÿ‡น๐Ÿ‡ฉ Chad5.8
148๐Ÿ‡จ๐Ÿ‡ฉ Democratic Republic of Congo5.8
149๐Ÿ‡ฑ๐Ÿ‡น Lithuania5.8
150๐Ÿ‡ธ๐Ÿ‡ฐ Slovakia5.8
151๐Ÿ‡ฌ๐Ÿ‡ช Georgia5.7
152๐Ÿ‡ฆ๐Ÿ‡ฒ Armenia5.6
153๐Ÿ‡ฆ๐Ÿ‡ฟ Azerbaijan5.6
154๐Ÿ‡ง๐Ÿ‡พ Belarus5.6
155๐Ÿ‡ฒ๐Ÿ‡ฉ Moldova5.6
156๐Ÿ‡ท๐Ÿ‡บ Russia5.6
157๐Ÿ‡บ๐Ÿ‡ฆ Ukraine5.6
158๐Ÿ‡ง๐Ÿ‡ด Bolivia5.5
159๐Ÿ‡จ๐Ÿ‡ฒ Cameroon5.5
160๐Ÿ‡จ๐Ÿ‡ฌ Congo5.5
161๐Ÿ‡ฌ๐Ÿ‡ถ Equatorial Guinea5.5
162๐Ÿ‡ฌ๐Ÿ‡ฆ Gabon5.5
163๐Ÿ‡ฎ๐Ÿ‡ธ Iceland5.5
164๐Ÿ‡ธ๐Ÿ‡น Sao Tome and Principe5.5
165๐Ÿ‡ฆ๐Ÿ‡ท Argentina5.4
166๐Ÿ‡พ๐Ÿ‡ช Yemen5.4
167๐Ÿ‡ฉ๐Ÿ‡ฐ Denmark5.3
168๐Ÿ‡ซ๐Ÿ‡ท France5.3
169๐Ÿ‡ง๐Ÿ‡ผ Botswana5.3
170๐Ÿ‡ณ๐Ÿ‡ช Niger5.2
171๐Ÿ‡ญ๐Ÿ‡ณ Honduras5.1
172๐Ÿ‡ช๐Ÿ‡น Ethiopia5.0
173๐Ÿ‡ธ๐Ÿ‡ช Sweden5.0
174๐Ÿ‡ญ๐Ÿ‡ท Croatia4.8
175๐Ÿ‡ต๐Ÿ‡ช Peru4.8
176๐Ÿ‡ฆ๐Ÿ‡ด Angola4.6
177๐Ÿ‡ฆ๐Ÿ‡น Austria4.6
178๐Ÿ‡ธ๐Ÿ‡ฟ Eswatini4.6
179๐Ÿ‡ฑ๐Ÿ‡ธ Lesotho4.6
180๐Ÿ‡ฒ๐Ÿ‡ฌ Madagascar4.6
181๐Ÿ‡จ๐Ÿ‡ญ Switzerland4.6
182๐Ÿ‡บ๐Ÿ‡ฌ Uganda4.6
183๐Ÿ‡ณ๐Ÿ‡ฑ Netherlands4.5
184๐Ÿ‡ช๐Ÿ‡จ Ecuador4.4
185๐Ÿ‡ฆ๐Ÿ‡ผ Aruba4.3
186๐Ÿ‡ฐ๐Ÿ‡ช Kenya4.0
187๐Ÿ‡ซ๐Ÿ‡ด Faroe Islands3.8
188๐Ÿ‡ง๐Ÿ‡ช Belgium3.6
189๐Ÿ‡ณ๐Ÿ‡ฌ Nigeria3.6
190๐Ÿ‡ณ๐Ÿ‡ด Norway3.6
191๐Ÿ‡ฌ๐Ÿ‡ฑ Greenland3.3
192๐Ÿ‡ฒ๐Ÿ‡ฟ Mozambique3.3
193๐Ÿ‡ธ๐Ÿ‡ณ Senegal3.1
194๐Ÿ‡ฎ๐Ÿ‡ช Ireland3.0
195๐Ÿ‡ฌ๐Ÿ‡ญ Ghana2.6
196๐Ÿ‡ง๐Ÿ‡ซ Burkina Faso2.1
197๐Ÿ‡จ๐Ÿ‡ป Cape Verde2.1
198๐Ÿ‡จ๐Ÿ‡ฎ Cote d'Ivoire2.1
199๐Ÿ‡ฌ๐Ÿ‡ณ Guinea2.1
200๐Ÿ‡ฌ๐Ÿ‡ผ Guinea-Bissau2.1
201๐Ÿ‡ฑ๐Ÿ‡ท Liberia2.1
202๐Ÿ‡ฒ๐Ÿ‡ฑ Mali2.1
203๐Ÿ‡ฒ๐Ÿ‡ท Mauritania2.1
204๐Ÿ‡ธ๐Ÿ‡ฑ Sierra Leone2.1
205๐Ÿ‡น๐Ÿ‡ฌ Togo2.1
206๐Ÿ‡ฟ๐Ÿ‡ผ Zimbabwe2.1
207๐Ÿ‡ฌ๐Ÿ‡ฒ Gambia1.9
208๐Ÿ‡ง๐Ÿ‡ฏ Benin1.1

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 nationโ€™s 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 Pakistanโ€™s 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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