Information and data are powerful tools when the evidence they provide informs policies and programs to better address global health needs. Models and software applications can bolster investment cases for health interventions and improve the evidence base for decision making—illustrating key concepts and modeling policy impacts. HP+ offers a variety of user-friendly software and computer models that can help in-country partners better understand the magnitude of health challenges, explore policy and resource options, and establish priorities.
Here you can access these computer models and software, including the Spectrum Suite of Policy Models.
DemDiv is a user-friendly, evidence-based tool that can inform policymakers in high-fertility countries of the potential benefits of the demographic dividend and increase their support for investments in the multisectoral policies required to achieve those benefits.
An evidence-based advocacy tool that allows users to simulate the effects of family planning on various health and non-health SDGs. The model projects the medium- and long-term impacts of three different family planning futures, capturing the boost contraceptive use offers toward realizing the SDGs. By showcasing the health, social, and economic benefits of contraceptive use, the model makes the case for family planning investments at national and subnational levels.
ImpactNow is an Excel-based model that estimates the health and economic impacts of family planning (FP) in the near term. It is designed to model the impacts of different policy scenarios, and to compare the results of those scenarios in advocacy materials.
The model can be used to create an evidence base for women's rights advocates, government leaders, and women's organizations to advocate for increased investments in family planning/reproductive health and other women-centered interventions in their countries.
SPECTRUM is a suite of easy to use policy models which provide policymakers with an analytical tool to support the decision making process.