Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Implementing early warning systems for sepsis recognition in African healthcare settings: an Angolan perspective

Domain:

healthcare
Creator:
EsmNde
Publisher:
Elsevier BV
Host:

Visit

doi.org

Licenses

https://www.elsevier.com/tdm/userlicense/1.0/https://www.elsevier.com/legal/tdmrep-licensehttp://creativecommons.org/licenses/by/4.0/

Similar

Antenatal inflammatory markers as early warning tools for neonatal sepsis: implications for nursing practice in low-resource settingsDevelopment and Validation of an Obstetric Early Warning System model for use in low resource settingsImplementing AI-Powered Early Warning Systems in Mozambique's Rural Areas to Prevent Crop Failure: A Methodological ApproachIntegrating systems thinking for analyzing and designing national early warning surveillance for animal health: a perspective from TanzaniaPredictive Modeling for Early Warning Systems in Gedo Region DisplacementDrought Monitoring Techniques for Famine Early Warning Systems in Africa

Antenatal inflammatory markers as early warning tools for neonatal sepsis: implications for nursing practice in low-resource settings

Background . Early-onset neonatal sepsis (EONS) remains a leading cause of neon

Development and Validation of an Obstetric Early Warning System model for use in low resource settings

Abstract Background The use of obstetric e

Implementing AI-Powered Early Warning Systems in Mozambique's Rural Areas to Prevent Crop Failure: A Methodological Approach

Early warning systems (EWS) have been increasingly used to mitigate crop failure risks in d

Integrating systems thinking for analyzing and designing national early warning surveillance for animal health: a perspective from Tanzania

Animal health surveillance has demonstrated its value in global health security. The effectiveness o

Predictive Modeling for Early Warning Systems in Gedo Region Displacement

Abstract

Drought Monitoring Techniques for Famine Early Warning Systems in Africa

Hundreds of millions of people in the world today do not enjoy food security—they do not have “acces