Towards Data-Driven Models for Diverging Emerging Technologies for Maternal Services in Child Health and Neonatal In Sub-Saharan Africa
Received Date: Mar 01, 2023 / Accepted Date: Mar 30, 2023 / Published Date: Mar 30, 2023
Abstract
The highest rates of maternal and under-five mortality are seen in Sub-Saharan Africa. The arrival of the coronavirus epidemic in 2019 made the difficulties already present in the area worse by taxing the health systems, limiting travel, and redirecting resources to the pandemic's containment. The Sustainable Development Goals for maternal and child mortality were not met by the region, and it is likely that they will not be met as well. Many SSA countries implemented digital technologies to educate pregnant and nursing women, schedule doctor visits, remind mothers and expecting moms of their appointments, and collect data on patients and their ailments in an effort to improve maternal and child health outcomes.
Citation: Dhami M (2023) Towards Data-Driven Models for Diverging Emerging Technologies for Maternal Services in Child Health and Neonatal In Sub-Saharan Africa. J Preg Child Health 10: 580.
Copyright: © 2023 Dhami M. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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