2021
Joint spatio-temporal modelling of adverse pregnancy outcomes sharing common risk factors at sub-county level in Kenya, 2016–2019
Abstract: Background Adverse pregnancy outcomes jointly account for a high proportion of mortality and morbidity among pregnant women and their infants. Furthermore, the burden attributed to adverse pregnancy outcomes remains high and inadequately characterised due to the intricate interplay of its etiology and shared set of important risk factors. This study sought to quantify and map the underlying risk of multiple adverse pregnancy outcomes in Kenya at sub-county level using a shared component space-t…
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2025
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Cited by 14 publications
(28 citation statements)
References 62 publications
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“…There have been very few investigations of the national spatial variations in LBW burden [ 14 – 18 ] or finer spatial scales below national levels [ 15 – 18 ]. In Kenya, LBW rates significantly varied sub-nationally [ 19 ] and similar findings have been reported in Ethiopia [ 20 ], Namibia [ 21 ], India [ 14 , 22 ], Indonesia [ 23 ] and in developed nations such the USA [ 16 – 18 ].…”
Section: Introductionsupporting
confidence: 53%
“…There have been very few investigations of the national spatial variations in LBW burden [ 14 – 18 ] or finer spatial scales below national levels [ 15 – 18 ]. In Kenya, LBW rates significantly varied sub-nationally [ 19 ] and similar findings have been reported in Ethiopia [ 20 ], Namibia [ 21 ], India [ 14 , 22 ], Indonesia [ 23 ] and in developed nations such the USA [ 16 – 18 ].…”
Section: Introductionsupporting
confidence: 53%
“…The Bayesian estimation approach was used in more than three-quarters (n = 35, 81.40%) of the included studies [ 32 , 33 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 73 , 79 ]. For Bayesian inference, the MCMC estimation approach was utilised in 27 studies [ 32 , 33 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 ,…”
Section: Resultsmentioning
confidence: 99%
“…In joint spatial temporal models, the structured and unstructured spatial random effects were considered to account for the spatial dependence and independent effects, respectively. In more than two-thirds (n = 26, 72.2%) of the studies, prior CAR was considered for the spatially structured random effect [ 32 , 33 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 43 , 44 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 55 , 58 , 60 , 61 , 63 , 64 , 65 ], and all assigned Identical and Independent Distribution (IID) for the unstructured spatial random effects. Out of 12 joint spatiotemporal studies, seven (58.23%) considered prior first-order random walk to account for the temporal dependence in the model [ 32 , 33 , 35 , 41 , 53 , 58 , 65 ].…”
Section: Resultsmentioning
confidence: 99%
