Health and Nutrition

Mathematica helps its partners to develop, measure, evaluate, and scale solutions to address health problems and strengthen health systems in low- and middle-income countries.

Mathematica works closely with its partners to identify promising strategies and interventions, measure the performance of complex initiatives, and evaluate the effectiveness of specific solution levers. Our goal is to generate evidence and learning that will guide decision-making and advance the field—amplifying the positive impact of our partners’ efforts on health and well-being across the globe.

Our international health work spans a range of issue areas, including reproductive health, maternal and child health, nutrition, health system strengthening, infectious diseases, and community health. Our project teams leverage our full suite of capabilities, and expansive global partner networks, to respond to the diverse information and learning needs of our clients. Using tailored approaches and tools, we bring data, evidence, and insights to program design, execution, and refinement processes, and help our partners and the broader field advance evidence-based solutions to the world’s toughest health challenges.

Our Featured Work
  • Independent Assessor for Maternal & Neonatal Health Impact Bond in India
    Independent Assessor for Maternal & Neonatal Health Impact Bond in India

    Several organizations—including Merck for Mothers, and USAID,—have partnered to deploy the world’s first health development impact bond, the Utkrisht Impact Bond. Mathematica will contribute to this work as an independent assessor to verify the facilities’ adherence to different requirements.

  • EpiCore Platform Evaluation
    EpiCore Platform Evaluation

    The Skoll Global Threats Fund (SGTF), in partnership with others, launched EpiCore in November 2015 with the goal of increasing the speed and accuracy of the outbreak verification and appropriate public health response. SGTF engaged Mathematica as an evaluation partner in December 2016.

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