Indirect estimation of child mortality using 2011 census data in the Islamic Republic of Iran.

Autor:	Mokhayeri Y; Department of Epidemiology and Biostatistics, School of Public Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Islamic Republic of Iran., Riahi SM; Department of Epidemiology, School of Pblic Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran., Rafiei E; Department of Epidemiology, School of Pblic Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran., Asadgol Z; Department of Environmental Health Engineering, School of Public Health, Iran University of Medical Sciences, Tehran, Islamic Republic of Iran., Hashemi-Nazari SS; Prevention of Cardiovascular Disease Research Center, Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Islamic Republic of Iran.
Jazyk:	angličtina
Zdroj:	Eastern Mediterranean health journal = La revue de sante de la Mediterranee orientale = al-Majallah al-sihhiyah li-sharq al-mutawassit [East Mediterr Health J] 2020 Feb 24; Vol. 26 (2), pp. 161-169. Date of Electronic Publication: 2020 Feb 24.
DOI:	10.26719/2020.26.2.161
Abstrakt:	Background: Child mortality rates are considered to be one of the key indicators of child health. Aims: The main objective of this research was to calculate child mortality rates (CMRs) indirectly, using census data, and to investigate using spatial pattern analysis the presence of any clustering patterns among provincial regions. Methods: The Trussell version of the Brass method and Coale-Demeny West model were used to estimate CMRs and life expectancy (LE) at birth. The analyses were performed using the QFive program of MORTPAK 4 software. For cluster analysis, local and global Moran's I indexes were measured. Results: Infant mortality rate, under-5 mortality rate, 1-4 mortality rate and LE at birth were estimated as 21.9, 26, 4.1 (deaths per 1000 live births) and 72.1 years, respectively. Global Moran's I index was calculated as 0.09, 0.09, 0.08 and 0.12, respectively. Conclusion: Special attention must be paid in provinces with high clusters regarding the evaluation of public health programmes, and the cause of failure of these programmes in reduction of childhood mortality indices. (Copyright © World Health Organization (WHO) 2020. Open Access. Some rights reserved. This work is available under the CC BY-NC-SA 3.0 IGO license (https://creativecommons.org/licenses/by-nc-sa/3.0/igo).)
Databáze:	MEDLINE
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