Kenya AMR Dashboard
Ongoing Studies & Research Programs
We're tracking how antibiotics work across Kenya's hospitals. When bacteria become resistant to medicines, it becomes harder to treat infections. This dashboard helps doctors and health officials understand what's happening with antibiotic resistance and use in real-time.
Our data comes from hospitals nationwide, giving everyone from individual doctors to national health planners the information they need to make better decisions about antibiotic use.
Dashboard Modules
AMR Surveillance
This module focuses on antibiotic resistance profiling using patient-level microbiology data. It showcases the distribution of bacterial isolates classified as Resistant, Susceptible, or Intermediate, helping facilities track resistance patterns across organisms and drugs.
Key Features:
- Patient-level microbiology data analysis
- Bacterial isolate classification (R/S/I)
- Resistance patterns across organisms
- Drug-specific resistance tracking
Antimicrobial Use
The AMU module presents patient-level antibiotic usage data derived from Point Prevalence Surveys (PPS). It reflects the prevalence and patterns of antimicrobial use at a given point in time within hospitals.
Key Features:
- Patient-level antibiotic usage data
- Point Prevalence Survey (PPS) analytics
- Real-time antimicrobial use patterns
- Hospital-specific usage insights
Medicine - level AMU.
This module provides estimates of the volume of antimicrobial products procured, distributed, prescribed, or consumed over time. It supports monitoring of national and subnational consumption patterns.
Key Features:
- Volume estimates for antimicrobial products
- Procurement and distribution tracking
- National consumption pattern monitoring
- Subnational usage analysis
Our surveillance network
Data flows in from hospitals across Kenya, giving us both breadth and depth in understanding antibiotic use patterns.
Why we do this work
The challenge we're addressing
Antibiotic resistance is growing worldwide. When bacteria become resistant, infections that were once easy to treat become dangerous or even deadly.
In Kenya, we see this happening in our hospitals. But we also know that smart, targeted use of antibiotics can slow down resistance while still treating patients effectively.
This dashboard gives healthcare workers and policymakers the real-time information they need to make those smart decisions.
What we're working toward
Better patient outcomes: When doctors have good data, they can choose the right antibiotic for each patient more often.
Preserved effectiveness: By using antibiotics more carefully, we can keep them working for future patients.
Cost savings: Appropriate antibiotic use reduces complications, shorter hospital stays, and better resource allocation.
Policy guidance: National and county health officials can see patterns and adjust guidelines based on real evidence.