GLOBMOD Health
GLOBMOD is a health intelligence laboratory dedicated to using data, science, and algorithms to predict and evaluate the health and economic impacts of technologies and programs, ensuring their sustainability. It specializes in evidence-based evaluation, risk assessment, and foresight, providing reliable solutions to translate complex data into actionable information. The organization emphasizes science-based and evidence-based decision-making to improve human health and wellbeing, focusing on both health policy and practice, and developing innovative metrics and models to assess the impact of human activities on health and the environment.
Industries
Nr. of Employees
small (1-50)
Products
Pre-trial probabilistic cost-effectiveness simulation platform
Standalone simulation software that enables pre-trial probabilistic estimation of future cost-effectiveness for health technologies, with modules tailored to pharmaceuticals, diagnostics/medical devices, and digital health systems.
Health-economic simulation for subsidy and taxation impact
Software tool for data analysis and simulation to predict health impacts and costs of subsidizing or taxing selected market goods and bundles.
Health-economic simulation for co-payment uptake
Simulation tool that predicts and monitors the impact of co-payment charges on the uptake and use of selected groups of health technologies.
Pre-trial probabilistic cost-effectiveness simulation platform
Standalone simulation software that enables pre-trial probabilistic estimation of future cost-effectiveness for health technologies, with modules tailored to pharmaceuticals, diagnostics/medical devices, and digital health systems.
Health-economic simulation for subsidy and taxation impact
Software tool for data analysis and simulation to predict health impacts and costs of subsidizing or taxing selected market goods and bundles.
Health-economic simulation for co-payment uptake
Simulation tool that predicts and monitors the impact of co-payment charges on the uptake and use of selected groups of health technologies.
Services
Epidemiological and disease-dynamics modeling
Modeling and simulation of communicable and non-communicable disease dynamics to forecast intervention impact and inform program design.
Health-economic evaluation and HTA support
Development of early and post-trial models (cost-effectiveness, cost-utility, budget-impact, value-based pricing, cost-of-illness) and support for preparation of value dossiers and policy assessments.
Risk assessment and extreme-event modeling
Advanced statistical and simulation-based assessment of risks from pandemics, natural disasters, environmental exposures, and other rare or extreme events.
Evidence synthesis and data appraisal
Systematic literature reviews, meta-analyses, in-depth literature reviews, and data extraction from surveys, clinical studies, and service providers, supplemented by expert elicitation.
Model implementation, validation, and adaptation
Implementation of conceptual models in software, debugging, validation against real-world data, critique, and adaptation of models to new settings.
Software development for health decision support
Design and delivery of user-friendly software tools to collect, analyze, and visualize health and economic data, including standalone packages for priority-setting and burden-of-illness analyses.
Epidemiological and disease-dynamics modeling
Modeling and simulation of communicable and non-communicable disease dynamics to forecast intervention impact and inform program design.
Health-economic evaluation and HTA support
Development of early and post-trial models (cost-effectiveness, cost-utility, budget-impact, value-based pricing, cost-of-illness) and support for preparation of value dossiers and policy assessments.
Risk assessment and extreme-event modeling
Advanced statistical and simulation-based assessment of risks from pandemics, natural disasters, environmental exposures, and other rare or extreme events.
Evidence synthesis and data appraisal
Systematic literature reviews, meta-analyses, in-depth literature reviews, and data extraction from surveys, clinical studies, and service providers, supplemented by expert elicitation.
Model implementation, validation, and adaptation
Implementation of conceptual models in software, debugging, validation against real-world data, critique, and adaptation of models to new settings.
Software development for health decision support
Design and delivery of user-friendly software tools to collect, analyze, and visualize health and economic data, including standalone packages for priority-setting and burden-of-illness analyses.
Expertise Areas
- Health-technology assessment (HTA)
- Epidemiological modeling and simulation
- Health economics and cost-effectiveness analysis
- Risk assessment of pandemics and extreme events
Key Technologies
- Agent-based simulation
- Compartmental dynamical models (ODEs)
- Markov models and MCMC
- Stochastic differential equations