PEPFAR's annual planning process is done either at the country (COP) or regional level (ROP).
PEPFAR's programs are implemented through implementing partners who apply for funding based on PEPFAR's published Requests for Applications.
Since 2010, PEPFAR COPs have grouped implementing partners according to an organizational type. We have retroactively applied these classifications to earlier years in the database as well.
Also called "Strategic Areas", these are general areas of HIV programming. Each program area has several corresponding budget codes.
Specific areas of HIV programming. Budget Codes are the lowest level of spending data available.
Expenditure Program Areas track general areas of PEPFAR expenditure.
Expenditure Sub-Program Areas track more specific PEPFAR expenditures.
Object classes provide highly specific ways that implementing partners are spending PEPFAR funds on programming.
Cross-cutting attributions are areas of PEPFAR programming that contribute across several program areas. They contain limited indicative information related to aspects such as human resources, health infrastructure, or key populations programming. However, they represent only a small proportion of the total funds that PEPFAR allocates through the COP process. Additionally, they have changed significantly over the years. As such, analysis and interpretation of these data should be approached carefully. Learn more
Beneficiary Expenditure data identify how PEPFAR programming is targeted at reaching different populations.
Sub-Beneficiary Expenditure data highlight more specific populations targeted for HIV prevention and treatment interventions.
PEPFAR sets targets using the Monitoring, Evaluation, and Reporting (MER) System - documentation for which can be found on PEPFAR's website at https://www.pepfar.gov/reports/guidance/. As with most data on this website, the targets here have been extracted from the COP documents. Targets are for the fiscal year following each COP year, such that selecting 2016 will access targets for FY2017. This feature is currently experimental and should be used for exploratory purposes only at present.
Years of mechanism: 2010 2012 2013 2014 2015 2016 2017
This implementing mechanism provides technical assistance, training, and capacity building to MOHs and regional partners to strengthen collection, management, and analysis of SI data for evidenced-based prevention programming and policy development. Regional and in-country trainings and hand-on TA will build competencies and skills in: basic and advanced epidemiology, data analysis and report-writing; MARPS size estimation, survey design and Implementation; data quality improvement; GIS and mapping for HIV, case-based surveillance, and development of annual surveillance and M&E reports. In conjunction with CDC, this TA partner (Global Health Sciences Unit of the University of California San Francisco (UCSF)) will improvements in country capacity to generate high quality, reliable data to characterize the epidemic in the general population and among MARP sub-groups.
CDC and UCSF will collaborate with partners to determine SI needs, content, and appropriate TA methods for countries. Planning and implementation is in close collaboration with USG agencies and other regional partners (CHRC, UNAIDS, PAHO) and aimed at responding directly to current country-level needs and priorities for the analysis, use, and dissemination of data for decision-making and program improvements. Activities will be timed to support country schedules, priorities for publishing annual surveillance and M&E reports, and for generating data to inform MARPs behavioral surveys. UCSF supports the objectives of CDC CRO SI to provide technical expertise and knowledge transfer to PF countries and MOH partners. CDC CRO SI team will provide monitoring of UCSFs activities and will measure success by the production of improved, technically-sound and comprehensive reports by National Programs.
In HIV/AIDS programming, critical gaps in data quality and availability prevent many countries in the region from knowing their epidemic or being able to pinpoint how many persons are infected with HIV, where new infections are occurring, and where the epidemic is most likely to spread. Countries are unable to track patterns of HIV infection comprehensively over time and across countries. As a result, there is a lack of reliable data for decision-making, patient case management, policy formulation and the development of well-targeted, evidence-based prevention, treatment and care programs. This implementing mechanism will provide support to conduct trainings on basic and advanced data analysis and report writing; along with basic and advanced trainings on geographic information systems (GIS) and mapping for HIV and AIDS. The Prime Partner will UCSF will collaborate with other regional and CDC Ministry of Health partners to determine the most appropriate content and methods for the Partnership Framework countries. Additionally, CDC CRO will undertake the planning and implementation of these activities in close collaboration with sister USG Agencies including USAID, and other regional partners such as CHRC, UNAIDS and PAHO PHCO. CDC will identify regional trainings to build competencies and skills in the following areas: Data Analysis and Report-Writing, and Advanced Epidemiology, training in MARPs Population Size Estimation and Implementation, and training in Advanced Data Analysis/Development of Epidemiological Profiles. These trainings will complement planned CDC technical assistance to the 12 USG Focus Countries in surveillance and M&E systems strengthening, and also help to improve the capacity of countries to generate high quality, reliable data in order to characterize the epidemic within the general population and among MARP sub-groups.
CDC will work in close collaboration with countries and regional partners to develop training activities aimed at responding directly to current country-level priorities for the analysis, use, and dissemination of data for decision-making and program improvement.
