2011
DOI: 10.1093/pubmed/fdr050
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Exploring variations in under-5 mortality in Nigeria using league table, control chart and spatial analysis

Abstract: U5MR is high in Nigeria; the rates are in three digits. There is a wide variation in the U5MR in Nigeria, with 27% showing evidence of special-cause variation which merits further investigation to identify possible causes. However, the vast majority of states (73%) are consistent with common-cause variation.

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Cited by 14 publications
(6 citation statements)
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“…Although under-five mortality decreased from 211 per 1,000 live births in 1990 to 114 in 2020 [ 2 ], Nigeria failed to achieve the Millennium Development Goal 4 to reduce childhood mortality by two-thirds. Important geographical and socio-economic variation in child mortality exists [ 3 ], however malaria, diarrhoea and pneumonia remain the main causes of post-neonatal child mortality in Nigeria [ 4 ].…”
Section: Introductionmentioning
confidence: 99%
“…Although under-five mortality decreased from 211 per 1,000 live births in 1990 to 114 in 2020 [ 2 ], Nigeria failed to achieve the Millennium Development Goal 4 to reduce childhood mortality by two-thirds. Important geographical and socio-economic variation in child mortality exists [ 3 ], however malaria, diarrhoea and pneumonia remain the main causes of post-neonatal child mortality in Nigeria [ 4 ].…”
Section: Introductionmentioning
confidence: 99%
“…A significant number of studies have been carried out on under 5 mortality in Nigeria such as studies by Caldwell and McDonald,1982 ; Ojikutu, 2008 ; Antai, 2011 ; Bamgboye, Clement, Adejuwolo, & Duro, 2012 ; Kayode, Adekanmbi, & Uthman, 2012 ; Akinyemi, Bamgboye, & Ayeni, 2013 ; Izugbara, 2014 ; Abu, Madu, & Ajaero, 2015 ; Chuckwu and Okonkwo, 2015 ; Ezeh, Agho, Dibley, Hall, & Page, 2015 Bako, Maiwada, Abubakar, & Akwo, 2016 ; Adebowale (2017) ; Adewemimo et al (2017) among others. However, these studies are largely determinant studies focused on investigating differentials in and risk factors of under 5 mortality without statistically assessing spatial/geographical patterns of under 5 mortality while the few studies that have done so did not examine spatial clustering across states in Nigeria over time ( Adebayo et al, 2004 , Uthman et al, 2012 ). Nevertheless, spatial pattern analysis is fundamental to understanding and tackling the problem of under 5 mortality.…”
Section: Introductionmentioning
confidence: 99%
“…However, ‘how’, ‘where’, ‘when’ and to ‘whom’ health performance indicators are presented could also determine their level of influence in decision making processes and content. Among the commonly used graphical techniques for presenting performance data are league tables, control charts and spatial analyses [8]. …”
Section: Introductionmentioning
confidence: 99%