Bayesian prediction of under-five mortality rates for Tanzania

Under-five mortality is a burden on health and economic systems in developing countries. This study used under-five mortality rate (U5MR) data for Tanzania from 1960 to 2020 to predict trends of under-five mortality over the period of 2021 to 2051. Using a Bayesian state space model, it is found tha...

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Bibliographic Details
Main Authors: Mohamed K. Mwanga, Silas S. Mirau, Jean M. Tchuenche, Isambi S. Mbalawata
Format: Article
Language:English
Published: Elsevier 2025-03-01
Series:Franklin Open
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Online Access:http://www.sciencedirect.com/science/article/pii/S2773186325000118
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Summary:Under-five mortality is a burden on health and economic systems in developing countries. This study used under-five mortality rate (U5MR) data for Tanzania from 1960 to 2020 to predict trends of under-five mortality over the period of 2021 to 2051. Using a Bayesian state space model, it is found that the model is stable in forecasting. Results show that under-five mortality will continue to decline from 48.9 in 2020 to 32.9 in 2030, a decrease of 32.7%. But despite this decrease, Tanzania will likely not meet the Sustainable Development Goal (SDG) for under-five mortality by 2030. Additional efforts by the government through evidence-based interventions should be undertaken to improve child survival by expanding access to health care, especially in rural areas, taking into account local context.
ISSN:2773-1863