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Musonda Makasa

Datos Biográficos

ID9065237
NOMBREMusonda Makasa
NOMBRESMusonda
APELLIDOMakasa
FIRMAMAKASA M
AFILIACIONESUniversity Teaching Hospital
ORCID0000-0003-0009-2649
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
OBRAS COMO AUTOR1
OBRAS COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2025
AÑO MÁS RECIENTE DE PUBLICACIÓN2025
ÍNDICE H0
  • Predictors of perinatal mortality in the seven major hospitals of Lusaka Zambia

    Open Access•Musonda Makasa, Patrick Kaonga et al.•ARTICLE•PLOS Global Public Health•2025

    Background In 2023, approximately 2.3 million babies globally were lost before birth or within the first week of life, primarily due to preventable causes. Global perinatal mortality declined from 5.7 million in 2000 to 4.1 million by the end of 2015. However, despite this progress, for example 45% of all stillbirths were reported from high-income countries, which contribute less than 2% of the global burden of stillbirths. Perinatal mortality ra…

Sin obras prominentes en esta página.

  • Predictors of perinatal mortality in the seven major hospitals of Lusaka Zambia

    Open Access•Musonda Makasa, Patrick Kaonga et al.•ARTICLE•PLOS Global Public Health•2025

    Background In 2023, approximately 2.3 million babies globally were lost before birth or within the first week of life, primarily due to preventable causes. Global perinatal mortality declined from 5.7 million in 2000 to 4.1 million by the end of 2015. However, despite this progress, for example 45% of all stillbirths were reported from high-income countries, which contribute less than 2% of the global burden of stillbirths. Perinatal mortality ra…

Demography (1 obra) · Fetus (1 obra) · Gestation (1 obra) · Global Maternal and Child Health (1 obra) · Internal Medicine (1 obra) · Logistic regression (1 obra) · Maternal and fetal healthcare (1 obra) · Maternal and Neonatal Healthcare (1 obra) · Medicine (1 obra) · Mortality rate (1 obra)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae