GMatH (Global Maternal Health) Model

Model Overview

The Global Maternal Health (GMatH) microsimulation model simulates the reproductive histories of individual women in 200 countries and territories, accounting for heterogeneity in education and urban/rural location, family planning preferences, and history of maternal complications. The structural nature of the model allows for more robust estimates of maternal mortality to be made, and provides a causal framework in which counterfactual scenarios can be modelled to evaluate the impact of different policies aimed at improving maternal health.

Model Inputs: To develop the model we synthesized the best available epidemiologic and clinical evidence from various sources, including randomized clinical trials, observational studies, meta-analyses, expert opinion, census data, and primary survey data, and explicitly accounted for uncertainty in all of these inputs.
Datasets and Definitions: More information on the datasets used in the model and the calculated maternal health indicators is available here.
Model Calibration: We calibrated the model to empirical data on a range of maternal health indicators.

GMatH (Global Maternal Health) Model

Model Overview

Acknowledgements