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Publication date: 
October 16, 2019

Children’s risk of dying before age 5 varies more than 40-fold 

Nearly half of the 5.4 million children dying in 2017 would be alive if all districts in low- and middle-income nations were meeting United Nations’ goals

 

SEATTLE – An unprecedented study mapping child deaths over almost two decades finds that nearly half of the 5.4 million under-5 deaths in 2017 can be attributed to differences in child death rates within and across countries.

The study is the first of its kind, mapping child deaths in 99 low- and middle-income countries at the level of individual districts. Published today in the journal Nature, the findings include precision maps illuminating health disparities within countries and regions often obscured by national-level analyses. An interactive visualization accompanying the research compares child death rates from year to year.

The research, conducted by the Institute for Health Metrics and Evaluation (IHME) at the University of Washington’s School of Medicine, looks at countries where more than 90% of child deaths occurred in 2017. Mortality rates varied as much as 10-fold between districts within a country. Across all countries studied, the likelihood of a child dying before age 5 varied more than 40-fold at the district level. 

“It is as reprehensible as it is tragic that, on average, nearly 15,000 children under age 5 die every day,” said Dr. Simon I. Hay, the senior author on the study and Director of the Local Burden of Disease (LBD) group at IHME. “Why are some areas doing so well, while others struggle? In order to make progress, we need to enable precise targeting of interventions, such as vaccines. Our findings provide a platform for nations’ health ministers, clinicians, and others to make focused improvements in health systems.”

Globally, approximately 5.4 million children died before their fifth birthdays in 2017, as compared to 9.7 million in 2000. Researchers estimated that if every district in the low- and middle-income countries studied had met the Sustainable Development Goal (SDG) target of at least as low as 25 child deaths per 1,000 live births, 2.6 million fewer children would have died. If every district within a country rose to the level of the best-performing district in that country, the estimated number of deaths averted rises to 2.7 million.

The vast majority of the 17,554 districts among the 99 nations studied saw improvement in lowering child deaths, but levels of inequality between districts were more variable over the study period. Despite major gains in reducing child deaths over the past 20 years, the highest rates of death in 2017 were still largely concentrated where rates were highest in 2000.

The study, funded by the Bill & Melinda Gates Foundation, reveals areas of success where strategies could be replicated across and within countries, according to Dr. Hay.

For example, in Rwanda, the highest district-level rate of child deaths in 2017 was less than half that of the lowest district-level death rate in 2000 – gains partially attributed to investments in children’s health in the poorest communities, expansion of health insurance, and increasing numbers of community health workers. Nepal significantly decreased inequalities among its districts over the study period. And Peru made major strides in reducing child mortality and inequality after implementing sustained, cross-cutting antipoverty and health programs. 

The study estimates both rates and absolute numbers of deaths by district, presenting a complete picture of global child mortality that illuminates important trends and patterns.

A growing proportion of child deaths are occurring in areas with low overall death rates. Neonatal mortality (death occurring in a child’s first 28 days) and infant mortality (death in the first year of life) are both increasing as a percentage of total child deaths. These trends highlight the need for tailored approaches. Premature birth was the biggest cause of deaths before age 1 year in 2017, while older children were more likely to die from lower respiratory infections, diarrhea, and other communicable diseases.

Hay and his research team are working toward more detailed mapping of factors that influence child survival, including education, malnutrition, and disease prevention, in order to better understand the specific obstacles faced in different regions.

Among the key findings:

  • In 2017, nearly a third of the 17,554 districts in the 99 countries studied had already met the SDG target of at least as low as 25 child deaths per 1,000 live births.
  • In 43 countries studied, the district with the worst child mortality rate in 2017 was still better than the district with the best child mortality rate in 2000. 
  • The highest estimated child death rate in 2000 at the local level was just over 300 deaths per 1,000 births. In 2017, the highest rate was 195 deaths per 1,000 births. Both were in Nigeria.
  • At the national level, Colombia, Guatemala, Libya, Panama, Peru, and Vietnam all had achieved the SDG target of at least as low as 25 child deaths per 1,000 live births in 2017, but had districts, municipalities or provinces that did not achieve the goal.
  • The proportion of deaths in a child’s first 28 days of life increased in 91% of countries studied and 83% of districts in those countries over the study period. 
  • A growing proportion of child deaths are occurring in “low”-mortality areas. In 2000, only 1.2% of deaths occurred in study areas achieving the SDG target. By 2017, this percentage had grown over six-fold, to 7.3%.
  • In 2000, approximately 25% of child deaths occurred in study areas where mortality rates were less than 80 child deaths per 1,000 live births. In 2017, almost 70% of child deaths occurred in areas below the 80 per 1,000 mark.

The LBD project produces estimates of health outcomes and related measures covering entire continents at a fine geographic resolution. Project leaders are seeking additional collaborators, including academics, researchers, and others, to contribute data and evaluate draft papers. For more information, please contact the LBD Engagement Team at [email protected].

All estimates produced from this research are publicly available at the Global Health Data Exchange: http://ghdx.healthdata.org.

In this press release, we use the term "district" to refer to second administrative subdivisions within a country. This does not align perfectly with naming conventions in every country mapped. For information on individual countries, please see the accompanying FAQ or reach out to our media team.

 

Media contacts

IHME:

Amelia Apfel, +1-206-897-3733 (office); +1-206-359-5111 (mobile); [email protected]

Kelly Bienhoff, +1-206-897-2884 (office); +1-913-302-3817 (mobile); [email protected]

 

About the Institute for Health Metrics and Evaluation

The Institute for Health Metrics and Evaluation (IHME) is an independent global health research organization at the University of Washington School of Medicine that provides rigorous and comparable measurement of the world’s most important health problems and evaluates the strategies used to address them. IHME is committed to transparency and makes this information widely available so that policymakers have the evidence they need to make informed decisions on allocating resources to improve population health.

About the Local Burden of Disease project

The Local Burden of Disease (LBD) project at IHME aims to produce estimates of health outcomes and related measures that cover entire continents, but to do so at a very fine, local resolution. Such estimates allow decision-makers to target resources and health interventions precisely, so that health policy decisions can be tailored for local areas rather than entire countries. Combining local detail with broad coverage – producing estimates for different administrative subdivisions across entire continents – gives health officials tools to make locally informed decisions. The LBD project is led by Dr. Simon I. Hay, Professor of Health Metrics Sciences at the University of Washington School of Medicine and Director of Geospatial Science at IHME