Work overview

Section 09 of 12

Declarations

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

Esmael Tomás and Ndenga Tomás · 2026

Contents

Section 09 of 12

  1. 01African relevance
  2. 02Introduction
  3. 03Early warning scores as tools for early sepsis recognition
  4. 04Operational realities and implementation challenges
  5. 05Examples of African implementation experiences
  6. 06Early warning scores as health-system interventions: lessons from Africa
  7. 07Implications for global sepsis strategies
  8. 08Conclusion
  9. 09Declarations
  10. 10Funding
  11. 11CRediT authorship contribution statement
  12. 12Declaration of competing interest
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Work overview

Section 9 of 12

Declarations

Esmael Tomás and Ndenga Tomás · about 1 minutes

Original source ↗

Declaration of generative AI and AI-assisted technologies in the manuscript preparation process

During the preparation of this work, the authors used the Large Language Model ChatGPT (OpenAI, GPT-5.5) to assist with language editing and the development of the conceptual figure. All AI-assisted output was critically reviewed, revised and verified by the authors, who take full responsibility for the accuracy, integrity and originality of the published article.

Dissemination of results

The findings and perspectives presented in this commentary will be disseminated through scientific meetings, and professional networks involved in emergency, acute, and critical care across Africa.