About
Smarter maps - smarter decisions
Welcome to NOSOMICS – smarter maps for smarter decisions! NOSOMICS is my personal consulting platform, dedicated to enhancing organizational decision-making through advanced geospatial health service optimization.
My name is Manuela Rehr and I am a PhD-trained microbiologist and MSc epidemiologist with over 15 years of global public health experience, focusing on infectious disease diagnostics, health systems optimization, and spatial analysis techniques. I use geospatial analysis and innovative solutions to drive smarter decision-making in healthcare systems, helping organizations tackle complex challenges with data-driven insights.
From optimizing diagnostic networks to developing digital tools that simplify complex spatial challenges, my work is dedicated to helping governments and international organizations make data-driven decisions that improve access to care and strengthen health systems.
Key areas
Infectious disease diagnostics & control
Technical advisory & strategic consulting for global health
Geospatial health service optimization & analysis
Digital tool development for health service planning (p-Median & MCLP Solvers)
Services
From Diagnostics to Decisions: Solutions That Fit
I provide expert consulting and technical advisory services that help governments & organizations optimize diagnostic & health care networks, improve health outcomes, and strengthen preparedness for disease outbreaks.
Geospatial Health Service Optimization
Tailored geospatial analysis and optimization for resource allocation, improving equity in healthcare access and demand coverage while optimizing laboratory networks for better service delivery. Includes analysis and optimization of health services for epidemic preparedness and outbreak response.
Health Diagnostics & Strategy Consulting
Strategic design of diagnostic networks to enhance accessibility and coverage for diseases like TB, HIV, and emerging infections, integrated with national health strategies to align diagnostic capacity with disease control, outbreak preparedness, and system resilience.
Digital Tools & App Development
Development of web-based apps for non-GIS experts to perform spatial analysis and network optimization. Current tools include the p-Median Solver for healthcare service placement and the upcoming MaxCov Solver and the mapping visualization app geoViz.
Training & Capacity Building
Capacity-building on optimizing health service delivery and diagnostics through spatial modeling and GIS-based tools, with a focus on practical implementation.
Solutions
Making complex spatial optimization simple!
Address public health challenges with intuitive solutions designed for non-GIS experts. From disease tracking to optimizing health services, these user-friendly apps transform complex data and spatial analyses into actionable insights.
Geo-Visualizer
Sometimes, all you need is a simple, interactive, and visually appealing map to showcase your geo-referenced health data and facility network.
If that’s what you’re looking for, this app is made for you.
p-Median Solver
This user-friendly application solves the p-Median Problem by identifying the optimal locations for a specified number of new facilities.
The objective is to minimize the total demand-weighted distance between demand points and their closest facilities, optimizing access and ensuring efficient service distribution.
MaxCov-Solver
This application solves the Maximal Covering Location Problem (MCLP), a widely-used optimization model.
Its objective is to maximize demand coverage with the fewest possible new facilities, optimizing resource allocation and extending service accessibility.