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: 2012 2013
The aim of this project will be to build the capacity of the University of Zambia population studies department to be able to provide advanced courses in the collection, analysis, interpretation and use of data for program planning and decision making. This is in order to improve HIV/AIDS program planning and related health outcomes.The program will be built on lessons and achievements from the previous program which offered a single module Monitoring and Evaluation (M&E) course and also established the Center of Excellence for M&E. In 2012, the TBD program will support the expansion of courses offered by UNZA from the single M&E course offering to include statistical analysis, epidemiology, data management, and data use. Support will also include the capacity to carry out programmatic evaluations, which will include both baseline and student follow-up tracer studies to measure the efficacy of the program.
The program will also build on the pilot implementation of the Epidemiology for Data-Users training (EDU). This was carried out in 2010/11 at national, provincial and district levels with participation from the NAC, MoH, UNZA Demography department, and several NGO partners. The TBD program will be the center for planning and deployment of EDU training and also develop advanced modules for EDU training. To enhance HIV/AIDS data use for national as well as local level planning, modules will include mapping and advanced methods of displaying data. Due to the lack of space and adequate equipment for the implementation of such innovations, the TBD program will also support A&R activities and purchase of relevant equipment and software including for statistical analysis and GIS mapping.
Expansion of courses and trainings offered by UNZA CoE would place a demand on both the physical as well as current equipment structures for course delivery. UNZA will need to develop technological infrastructure, acquire sufficient facility space, and hire high quality professional teaching staff.
Existing space will be renovated to create a lecture theatre, by DOD. This theatre would be equipped with presentation and teaching equipment to ensure quality delivery of teaching. Additional existing space will be renovated to create a learning laboratory equipped with presentation equipment, computer equipment, and software to enable students to practice applied statistics.
The support to the University of Zambia population studies department will:
Develop a data analysis short-course to meet the demand and need for data analysis skills among CSO and other governmental partners.
Develop advanced modules for Epidemiology for Data-Users training (EDU).
Support staff development to be able to implement these and develop related programs.
Train staff on interpretation of data from new studies as well as data that sits in repositories with MoH (including SmartCare) as well as periodic study data at CSO.
Improve scientific writing skills amongst individuals from Government as well as NGOs. Trained individuals will be able to develop and write analytical papers and manuscripts.
The TBD program will also carry out evaluation of the trainings in both pre and post training tests as well as follow-up tracer studies and training impact evaluations.
The program will also offer targeted scholarships to government staff to attend specialized trainings. Scholarships will target advanced statistical and epidemiological training including Master of Public Health (MPH), Bachelor of Statistics.
Expansion of courses and trainings offered by UNZA CoE would place a demand on both the physical as well as current equipment structures for course delivery. UNZA will need to develop technological infrastructure, acquire sufficient facility space, and hire high quality professional teaching staff. Support will be channeled towards renovation of identified physical space.
Existing space will be renovated to create a lecture theatre. This theatre would be equipped with presentation and teaching equipment to ensure quality delivery of teaching. Additional existing space will be renovated to create a learning laboratory equipped with presentation equipment, computer equipment, and software to enable students to practice applied statistics.
