The gap between traditional public health curricula and the operational skills needed by health ministries in low- and middle-income countries (LMICs) commonly leads to wasted resources and inadequate, inequitable health outcomes. Public health professionals need to know how to allocate resources; develop and manage program budgets; make data-driven decisions; negotiate with diverse stakeholders; and manage complex programs. This need is especially consequential in LMICs, but even high-income countries like the US need public health practitioners with these competencies since all countries are obligated to achieve the ambitious health-related Sustainable Development Goals (SDGs).
CGPH's new 12-credit 4-course Applied Global Public Health Certificate emphasizes an equity-focused systems approach in courses on data utilization, data-driven decision-making, results-focused strengthening of health systems, and program costing, monitoring, and management for equity. The program is targeted to UN professional staff, district- and national-level managers, international NGO staff, and MPH candidates at NYU or partner universities.
All of the classes are available online or as an innovative hybrid of online and classroom sessions (2 weeks of online foundational material with assessments and interactive exercises, and 5 days of highly interactive classroom exercises and projects). The latter format prepares students before they arrive to the first live class, identifies critical gaps in their understanding of the material, and (most importantly) reduces their time away from important day jobs. The classroom sessions may be offered at one of 14 NYU Global Network University locations or at a partner campus, further reducing travel costs for participants.
Prerequisites: Epidemiology and Biostatistics.
Enrollment is open. Click here to apply.
For more information, contact Dr. Christopher Dickey.
Public health practice typically demands competencies in identifying, extracting, analyzing and interpreting information from large survey and administrative data sets (e.g., Demographic and Health Surveys, census data), government reports, and qualitative studies. This course develops those competencies through a rigorous evaluation of existing resources and best practices in data utilization for situational assessment, policy and strategy development, and surveillance of health outcomes through real-world case studies. The course also provides students with skills in data analysis and data visualization using Microsoft Excel and basic skills training in the statistical programs SAS, STATA, and R.
This course develops skills and competencies in making data-driven decisions to improve global public health outcomes, especially in high disease- and malnutrition-burden environments. It is based on a framework of enabling environment, supply, demand, and quality factors that affect the effective coverage of services that would prevent outcomes such as under-5 mortality, neonatal mortality, maternal mortality and stunting. The class introduces decision support platforms developed by UNICEF, WHO, and the World Bank that help public health professionals choose between available strategies and interventions in a high-burden country to reduce adverse health and nutrition outcomes.
This course covers elements that are necessary for developing impactful global public health programs in Low- and Middle-Income Countries (LMIC), including but not limited to: a comprehensive overview of health systems and their specific components; an explanation of how the health system functions in different country settings; and an overview of cross-cutting system-wide supply and demand bottlenecks and evidence-based strategies to address these. Assignments use practical country case studies and analyses of data sets on health system bottlenecks, strategic shifts, and enabling environments as well as estimations of resource requirements, cost effectiveness, and financing needs for health system strengthening.
This course develops skills and competencies for key steps in program monitoring and management to improve equity of global public health outcomes, namely situation analysis of equity, modeling effects of management decisions, monitoring changes in equity outcomes, and evaluating equity modeling, monitoring and outcomes. For each of these steps, students learn and apply core concepts, measures, and analytic tools concerning equity of outcomes, bottlenecks in coverage of interventions, and out of pocket health expenditures. The class will introduce databases, methods, and tools developed by UNICEF, World Bank, IHME, and WHO, that help public health professionals reduce inequity in health and nutrition outcomes in LMICs.