Skip to main content icon/video/no-internet

The disparity in health across nations is dramatic, as depicted in Table 1 by a 50-year range in life expectancy at birth. Quality of life is also widely varied across nations. What causes these substantial differences in life length and quality? Economic status is a major factor, leading to nutritionand environment-related risks, injuries, high-risk behaviors, and inadequate health care. These underlying factors cause the infectious diseases, childbirth complications, trauma, and chronic diseases that ravage some developing countries.

Familiarity with the measurements underlying the summary health profiles of each country is essential to understanding the epidemiology of developing countries. Additionally, study methodologies vary worldwide according to the respective needs and cultures, but they are largely limited by the lack of resources in these countries. Also, it is important to consider ethical issues that arise in international study, particularly studies conducted jointly with U.S. investigators.

This entry discusses three aspects of epidemiology in developing countries. The section on burden of disease provides an overview of the epidemiology of developing countries; the section on research methods reviews epidemiology training programs and methods for epidemiologic study in developing countries; and, finally, ethical considerations are discussed in a section on the key components of ethical research conducted jointly by developed and developing nations.

Burden of Disease

While overall mortality rates, years of potential life lost, and life expectancy provide important insight into the health of a population, none provides information about quality of life. Rather, they are limited to information about quantity of life. Yet disabilities are important considerations when understanding population health. To this end, the World Bank funded the Burden of Disease Study, a collaborative effort of the World Health Organization and university researchers to describe the burden of disease for nations, incorporating both quantity of life and quality of life. The research also pulled together information on the major risk factors for each nation's burden of disease.

Burden of disease is estimated by combining information measured by years of potential life lost (YPLL) and years of healthy life lost due to disability (YLD). This combination of information forms disabilityadjusted life years (DALYs), which estimate the years of healthy life lost. For example, if a child dies of pneumoniaatage1, the child has 54 more years of YPLL compared to an individual who dies of pneumonia at age 55. Deaths in childhood have substantial impact on the measure of YPLL; thus, for countries with high childhood mortality, the YPLL and DALY are substantial per capita. Similarly, if an infectious disease, such as onchocerciasis (or ‘river blindness’), causes blindness of a 5-year-old, the YLD and DALY will be 39 years more than if the same disease causes blindness of a 44-year-old. Combining this information across all diseases in a country creates one summary measure for the country that provides a measure of health. The DALYs can also be computed by gender and for specific diseases and risk factors to understand their relative importance.

Table 1 Life Expectancy by Region and Country, 2006 Estimates
Mortality Experience
RegionCountries (Life Expectancies in Years)ChildAdult
AfricaAngola (38.6)HighHigh
Liberia (39.7)
Sierra Leone (40.2)
Niger (43.8)
Guinea-Bissau (46.9)
Nigeria (47.1)
Chad (47.5)
Burkina Faso (48.9)
Mali (49.0)
Equatorial Guinea (50.0)
Guinea (50.0)
Cameroon (51.2)
Benin (53.0)
Mauritania (53.1)
Gambia (54.1)
Gabon (54.5)
Madagascar (57.3)
Togo (57.4)
Ghana (58.9)
Senegal (59.3)
Comoros (62.3)
Sao Tome and Principe (67.3)
Cape Verde (70.7)
Seychelles (72.1)
Mauritius (72.6)
Algeria (73.3)
Swaziland (32.6)Very highVery high
Botswana (33.7)
Lesotho (34.4)
Zimbabwe (39.3)
Mozambique (39.8)
Zambia (40.0)
Malawi (41.7)
South Africa (42.7)
Namibia (43.4)
Central African Republic (43.5)
Tanzania (45.6)
Rwanda (47.3)
Cote d'Ivoire (48.8)
Kenya (48.9)
Ethiopia (49.0)
Burundi (50.8)
Congo Democratic, Republic of the (51.5)
Uganda (52.7)
Congo, Republic of the (52.8)
Eritrea (59.0)
North and South AmericaCuba (77.4)Very low Verylow
United States (77.9)
Canada (80.2)
Grenada (64.9)LowLow
The Bahamas (65.6)
Guyana (65.9)
Trinidad and Tobago (66.8)
Belize (68.3)
Suriname (69.0)
Honduras (69.3)
El Salvador (71.5)
Dominican Republic (71.7)
Brazil (71.9)
Colombia (71.9)
Antigua and Barbuda (72.2)
Saint Kitts and Nevis (72.4)
Barbados (72.8)
Jamaica (73.2)
Saint Lucia (73.8)
Saint Vincent and the Gernadines (73.9)
Venezuela (74.5)
Dominica (74.9)
Paraguay (75.1)
Panama (75.2)
Mexico (75.4)
Argentina (76.1)
Uruguay (76.3)
Chile (76.8)
Costa Rica (77.0)
Haiti (53.2)HighHigh
Bolivia (65.8)
Guatemala (69.4)
Peru (69.8)
Nicaragua (70.6)
Ecuador (76.4)
Eastern Mediterranean RegionIran (70.3)LowLow
Syria (70.3)
Lebanon (72.9)
Oman (73.4)
Qatar (74.0)
Bahrain (74.5)
Tunisia (75.1)
United Arab Emirates (75.4)
Saudi Arabia (75.7)
Libya (76.7)
Kuwait (77.2)
Cyprus (77.8)
Jordan (78.4)
Djibouti (43.2)HighHigh
Afghanistan (43.3)
Somalia (48.5)
Sudan (58.9)
Yemen (62.1)
Pakistan (63.4)
Iraq (69.0)
Morocco (70.9)
Egypt (71.3)
EuropeCroatia (74.7)Very lowVery low
Czech Republic (76.2)
Slovenia (76.3)
Ireland (77.7)
Portugal (77.7)
Denmark (77.8)
Finland (78.5)
United Kingdom (78.5)
Belgium (78.8)
Germany (78.8)
Luxembourg (78.9)
Netherlands (78.9)
Malta (79.0)
Austria (79.1)
Greece (79.2)
Israel (79.5)
Norway (79.5)
France (79.7)
Monaco (79.7)
Spain (79.7)
Italy (79.8)
Iceland (80.3)
Switzerland (80.5)
San Marino (81.7)
Andorra (83.1)
Turkmenistan (61.8)LowLow
Azerbaijan (63.9)
Uzbekistan (64.6)
Tajikistan (64.9)
Kyrgyzstan (68.5)
Romania (71.6)
Armenia (71.8)
Bulgaria (72.3)
Turkey (72.6)
Macedonia (73.9)
Slovakia (74.7)
Poland (74.9)
Georgia (76.1)
Albania (77.4)
Bosnia and Herzegovina (78.0)
Moldova (65.7)LowHigh
Kazakhstan (66.9)
Russia (67.1)
Belarus (69.1)
Ukraine (69.9)
Latvia (71.3)
Estonia (72.0)
Hungary (72.7)
Lithuania (74.2)
Southeast AsiaIndonesia (69.9)LowLow
Thailand (72.3)
Sri Lanka (73.4)
Bhutan (54.8)HighHigh
Nepal (60.2)
Burma (60.9)
Bangladesh (62.5)
Maldives (64.4)
India (64.7)
North Korea (71.7)
Brunei (75.0)
Western Pacific RegionNew Zealand (78.8)Very lowVery low
Australia (80.5)
Japan (81.3)
Singapore (81.7)
Laos (55.5)LowLow
Cambodia (59.3)
Kiribati (62.1)
Vanuatu (62.9)
Nauru (63.1)
Mongolia (64.9)
Papua New Guinea (65.3)
Tuvalu (68.3)
Fiji (69.8)
Tonga (69.8)
Federated States of Micronesia (70.1)
Philippines (70.2)
Marshall Islands (70.3)
Palau (70.4)
Vietnam (70.9)
Samoa (71.0)
Malaysia (72.5)
China (72.6)
Solomon Islands (72.9)
South Korea (77.0)
Source: Based on life expectancy data from https://www.cia.gov/cia/publications/factbook/rankorder/2102rank.txt; categories developed by the Global Burden of Disease Study (DOI: 10.1371/journal.pmed.0010027.t002)

Approximately 58 million of the 6.5 billion people in the world died in 2006. Shockingly, about 20% of these deaths are children, disproportionately from developing countries. Developing countries also have substantial deaths in the adolescent age range, while wealthy countries carry a relatively high death rate among those in young and middle adulthood (ages 15 to 59 years). Infectious diseases, particularly respiratory and diarrheal diseases, maternal and perinatal conditions, and malnutrition, continue to play an important role in mortality for the people of developing countries. Malaria ravages sub-Saharan Africa, currently the second leading cause of death after HIV/AIDS in that region. Tuberculosis also is a growing cause of death and disability in developing countries worldwide, becoming increasingly lethal due to drug resistance and coinfection with HIV. However, many developing countries have undergone a key transition in mortality: With the exception of sub-Saharan Africa and South Asia, chronic diseases now outpace infectious diseases as the cause of death. Heart disease and cerebrovascular disease are now the leading causes of death. Injuries, including violence, occupationrelated injuries, falls, and traffic crashes, also take their toll in lives.

...

  • Loading...
locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles

Sage Recommends

We found other relevant content for you on other Sage platforms.

Loading