Mortality rate

src: www.unicef.cn

Mortality rate, or death rate, is a measure of the number of deaths (in general, or due to a specific cause) in a particular population, scaled to the size of that population, per unit of time. Mortality rate is typically expressed in units of deaths per 1,000 individuals per year; thus, a mortality rate of 9.5 (out of 1,000) in a population of 1,000 would mean 9.5 deaths per year in that entire population, or 0.95% out of the total. It is distinct from "morbidity", which is either the prevalence or incidence of a disease, and also from the incidence rate (the number of newly appearing cases of the disease per unit of time).

In the generic form, mortality rates are calculated as:

${\displaystyle d/p*10^{n}}$

where d represents the deaths occurring within a given time period and p represents the size of the population in which the deaths occur.

Video Mortality rate

Related measures of mortality

Other specific measures of mortality include:

Maps Mortality rate

Use in epidemiology

In most cases, there are few ways, if at all possible to obtain exact mortality rates, so epidemiologists use estimation to predict correct mortality rates. Mortality rates are usually difficult to predict due to language barriers, health infrastructure related issues, conflict, and other reasons. Maternal mortality has additional challenges, especially as they pertain to stillbirths, abortions, and multiple births. In some countries, during the 1920's a stillbirth was defined as 'a birth of at least twenty weeks; gestation in which the child shows no evidence of life after complete birth.' In most countries, however, a stillbirth was defined as 'the birth of a fetus, after 28 weeks of pregnancy, in which pulmonary respiration does not occur.'

Census data and vital statistics

Ideally, all mortality estimation would be done using vital statistics and census data. Census data will give detailed information about the population at risk of death. The vital statistics provide information about live births and deaths in the population. Often, either census data and vital statistics data is not available. This is especially true in developing countries, countries that are in conflict, areas where natural disasters have caused mass displacement, and other areas where there is a humanitarian crisis

Household surveys

Household surveys or interviews are another way in which mortality rates are often assessed. There are several methods to estimate mortality in different segments of the population. One such example is the sisterhood method. This technique involves researchers estimating maternal mortality by contacting women in populations of interest and asking whether or not they have a sister, if the sister is of child-rearing age (usually 15) and conducting an interview or written questions about possible deaths among sisters. The sisterhood method, however, does not work in cases where sisters may have died before the sister being interviewed was born.

Orphanhood surveys estimate mortality by questioning children are asked about the mortality of their parents. It has often been criticized as an adult mortality rate that is very biased for several reasons. The adoption effect is one such instance in which orphans often do not realize that they are adopted. Additionally, interviewers may not realize that an adoptive or foster parent is not the child's biological parent. There is also the issue of parents being reported on by multiple children while some adults have no children, thus are not counted in mortality estimates.

Widowhood surveys estimate adult mortality by responding to questions about the deceased husband or wife. One limitation of the widowhood survey surrounds the issues of divorce, where people may be more likely to report that they are widowed in places where there is the great social stigma around being a divorcee. Another limitation is that multiple marriages introduce biased estimates, so individuals are often asked about first marriage. Biases will be significant if the association of death between spouses, such as those in countries with large AIDS epidemics.

Sampling

Sampling refers to the selection of a subset of the population of interest to efficiently gain information about the entire population. Samples should be representative of the population of interest. Cluster sampling is an approach to non-probability sampling; this is an approach in which each member of the population is assigned to a group (cluster), and then clusters are randomly selected, and all members of selected clusters are included in the sample. Often combined with stratification techniques (in which case it is called multistage sampling), cluster sampling is the approach most often used by epidemiologists. In areas of forced migration, there is more significant sampling error. Thus cluster sampling is not the ideal choice.

src: i.ytimg.com

Mortality statistics

The ten countries with the highest crude death rate, according to the 2016 CIA World Factbook estimates, are:

According to the World Health Organization, the ten leading causes of death in 2015 (ranked by death per 100,000 population) were:

1. Ischaemic heart disease (119 per 100,000 population)
2. Stroke (85 per 100,000 population)
3. Lower respiratory infections (43 per 100,000 population)
4. Chronic obstructive pulmonary disease (43 per 100,000 population)
5. Trachea/bronchus/lung cancers (23 per 100,000 population)
6. Diabetes mellitus (22 per 100,000 population)
7. Alzheimer's disease and other dementias (21 per 100,000 population)
8. Diarrhoeal diseases (19 per 100,000 population)
9. Tuberculosis (19 per 100,000 population)
10. Road traffic accidents (10 per 100,000 population)

Causes of death vary greatly between developed and less developed countries. See list of causes of death by rate for worldwide statistics.

According to Jean Ziegler (the United Nations Special Rapporteur on the Right to Food for 2000 to March 2008), mortality due to malnutrition accounted for 58% of the total mortality in 2006: "In the world, approximately 62 millions people, all causes of death combined, die each year. In 2006, more than 36 million died of hunger or diseases due to deficiencies in micronutrients".

Of the roughly 150,000 people who die each day across the globe, about two thirds--100,000 per day--die of age-related causes. In industrialized nations, the proportion is much higher, reaching 90%.

src: www.unicef.cn

See also

src: openheart.bmj.com

References

src: 4.bp.blogspot.com

Sources

• Crude death rate (per 1,000 population) based on World Population Prospects The 2008 Revision, United Nations. Retrieved 22 June 2010
• Rank Order - Death rate in CIA World Factbook
• Mortality in The Medical Dictionary, Medterms. Retrieved 22 June 2010
• "WISQARS Leading Causes of Death Reports, 1999 - 2007", US Centers for Disease Control Retrieved 22 June 2010
• Edmond Halley, An Estimate of the Degrees of the Mortality of Mankind (1693)

• Sun, Hongbing, "Temperature Dependence of Multiple Sclerosis in the United States." Multiple Sclerosis Journal. Vol. 23, no. 14, Dec. 2017
• Tuner, Paul J., et al. "Fatal Anaphylaxis: Mortality Rate and Risk Factors." The Journal of Allergy and clinical Immunology: In practice, vol. 5, no. 5, 2017.
• Benson, Michael D. "Amniotic Fluid Embolism Mortality Rate." Journal of Obstetrics and Gynecology Research: vol. 43, no. 11, 2017.

 Amniotic Fluid Embolism Mortality Rates   Fatal Anaphylaxis Mortality rate   Temperature Dependence of Multiple Sclerosis  

src: www.unicef.cn

External links

• DeathRiskRankings: Calculates risk of dying in the next year using MicroMorts and displays risk rankings for up to 66 causes of death
• Data regarding death rates by age and cause in the United States (from Data360)
• Complex Emergency Database (CE-DAT): Mortality data from conflict-affected populations
• Human Mortality Database: Historic mortality data from developed nations
• Google - public data: Mortality in the U.S.

Source of the article : Wikipedia