Research Programme · Bacterial AMR & One Health

Reproductive, Maternal, Newborn and Child Health

Harnessing bacterial genomics to understand how antimicrobial-resistant bacteria evolve and spread among pregnant women, mothers, newborns and children, and to prevent the infections they cause.

Programme LeadDr Luria Leslie Founou·Team: Dr Martin Kuete

Why it matters

Maternal and neonatal illness and death linked to bacterial infections, especially multidrug-resistant ones, remain a public health priority. Gaps in microbiological surveillance, early diagnosis and infection prevention in care settings limit the impact of clinical interventions.

Our goal

Sustainably reduce maternal and neonatal mortality and the burden of resistant bacterial infections in pregnant women, mothers and newborns, through an approach combining microbiological surveillance, microbiome analysis, bacterial genomics and targeted infection prevention and control.

Specific objectives

What the programme sets out to achieve.

Characterise the bacteria behind maternal and neonatal infections, their resistance profiles and genomic determinants.

Identify the biological, environmental and organisational factors linked to infection risk around birth.

Develop and validate risk stratification and diagnostic tools suited to resource-limited care settings.

Strengthen infection prevention and control (IPC) practices in maternity and neonatal units.

Main activities

  • Longitudinal mother–child cohorts in hospital and community settings
  • Microbiological, microbiome and genomic analyses of clinically relevant isolates
  • Identification and validation of biomarkers predicting maternal and neonatal infection
  • Predictive tools and clinical decision support
  • Assessment and follow-up of hygiene and IPC practices in maternity and neonatal units

Milestones ahead

Deliverables planned under the institute’s strategic plan.

  1. Multi-site longitudinal mother–child cohorts
  2. Predictive tools for perinatal infection risk
  3. A validated diagnostic prototype or clinical decision support tool
  4. Clinical and biological data integrated in a secure, operational data centre
Phone: (+237) 694043050
Fax: (+237) 673774022
Biyem-assi, Carrefour Saint Marc
Yaounde, Cameroon