国际标准期刊号: 2376-127X

妊娠与儿童健康杂志

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索引于
  • 哥白尼索引
  • 谷歌学术
  • 学术钥匙
  • 参考搜索
  • 哈姆达大学
  • 亚利桑那州EBSCO
  • OCLC-世界猫
  • 普布隆斯
  • 日内瓦医学教育与研究基金会
  • 欧洲酒吧
  • ICMJE
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抽象的

Towards Data-Driven Models for Diverging Emerging Technologies for Maternal Services in Child Health and Neonatal In Sub-Saharan Africa

Manjulika Dhami

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.

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