Analysis of under-five mortality by diseases in countries with different levels of development: a comparative analysis
Abstract
Objectives: The right to health is critical for children because they are sensitive beings who are more susceptible to disease and health problems. It would be beneficial to compare child mortality rates in countries with different levels of development and to conduct studies to address them by taking into account their causes. This study aims to analyze the situation of developed, developing and least developed countries in terms of causes under-5 child mortality (U5CM) determined by World Health Organization and to identify the similarities or differences of under-five mortality.
Methods: Child mortality rates per 1,000 live births between 2000 and 2017 years in between different age groups (0-27 days and 1-59 months) by causes (disease-specific) were obtained from World Health Organization for a total 15 countries including developed, developing and least developed countries. Regression analysis was performed to identify which causes have more impact on child mortality. In addition, the relationship between diseases was calculated using Euclidean distance, and diseases were clustered using k-means clustering algorithm for each country.
Results: As a result of mathematical and statistical analysis, it was seen that causes of child mortality have a significant relation with the development level of country where a child was born.
Conclusions: It has been observed that the causes of child mortality in countries with different levels of development vary depending on different factors such as geographical conditions, air quality population and access to medicine.
Keywords
References
- 1. Child Mortality - UNICEF DATA. https://data.unicef.org/topic/child-survival/under-five-mortality/ (accessed Feb. 05, 2022).
- 2. Deaths per 1 000 live births. https://www.who.int/data/gho/data/indicators/indicator-details/GHO/deaths-per-1-000-live-births (accessed Apr. 03, 2022).
- 3. United Nations Millennium Development Goals. https://www.un.org/millenniumgoals/childhealth.shtml (accessed Apr. 04, 2022).
- 4. You D, Hug L, Ejdemyr S, Idele P, Hogan D, Mathers C, et al. Global, regional, and national levels and trends in under-5 mortality between 1990 and 2015, with scenario-based projections to 2030: a systematic analysis by the UN Inter-agency Group for Child Mortality Estimation. Lancet 2015;386:2275-86.
- 5. Global Strategy, Every Woman Every Child, Jun. 24, 2016. https://www.everywomaneverychild.org/global-strategy/ (accessed Apr. 20, 2022).
- 6. Sustainable Development. https://sdgs.un.org/ (accessed Apr. 05, 2022).
- 7. Sharrow D, Hug L, You D, Alkema L, Black R, Cousens S, et al. Global, regional, and national trends in under-5 mortality between 1990 and 2019 with scenario-based projections until 2030: a systematic analysis by the UN Inter-agency Group for Child Mortality Estimation. Lancet Glob Health 2022;10:e195-206.
- 8. Baldacci S, Gorini F, Santoro M, Pierini A, Minichilli F, Bianchi F. Environmental and individual exposure and the risk of congenital anomalies: a review of recent epidemiological evidence. Epidemiol Prev 2018;42(3-4 Suppl 1):1-34.
Details
Primary Language
English
Subjects
Clinical Sciences , Health Care Administration
Journal Section
Research Article
Authors
Muhammed Sütçü
0000-0002-8523-9103
Türkiye
Pınar Güner
*
0000-0001-5979-0375
Türkiye
Nur Şebnem Ersöz
0000-0003-3343-9936
Türkiye
Early Pub Date
June 1, 2023
Publication Date
July 4, 2023
Submission Date
February 14, 2022
Acceptance Date
April 28, 2022
Published in Issue
Year 2023 Volume: 9 Number: 4
Cited By
Optimal Time Intervals Between Personal Mammogram Test Decisions
International Journal of Advanced Natural Sciences and Engineering Researches
https://doi.org/10.59287/ijanser.650