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.
This activity is linked to activities for Counseling and Testing including HVOP #9020, HVCT #3667, HVCT #3525, HVCT new activity for USAID with SFH/PSI, and HVCT new activity for CDC with UTH-Clinic 3. This activity is also linked to activities for ARV Services including HTXS #4549 and the new CDC activity with Southern Province Provincial Health Office.
Zambia has a population of approximately 10 million citizens (US Department of State, 2006), and overall HIV prevalence is nearly 16% among the general population and 13% among men (Zambia Demographic Health Survey, 2002). Currently, it is unknown how many homosexuals are residing in Zambia there are no HIV prevalence estimates specific to this population. However, anal sex remains a very high risk behavior for HIV transmission (Vittinghoff et al, 1999) and may be more prevalent in Africa than originally thought (Brody & Potterat, 2003). African female sex workers who engaged in anal sex were more than twice as likely to be HIV-infected compared to those who did not (Karim & Ramjee, 1998). There is also evidence that some African men have sex with both men and women (Brody & Potterat, 2003), suggesting potentially complex networks of transmission. It is important to investigate HIV prevalence and risk behaviors of men who have sex with men and those who have sex with both men and women in order to design and develop effective and targeted prevention and treatment programs for this population.
Funds are requested to continue activities with MSM populations in Lusaka, Southern and Copperbelt provinces. In FY 2006, CDC-Zambia conducted an assessment to determine the feasibility of using Venue-Day-Time Sampling (VDTS) and Respondent-Driven Sampling (RDS) to reach MSM in Zambia. The assessment included discussions with key informants in three major cities, Lusaka, Livingstone and Ndola, including representatives from the Ministry of Health, the National AIDS Council, and various organizations with working knowledge of the population. The findings from this project support the feasibility of implementing an assessment of HIV infection and risk behaviors among MSM populations in Zambia using the RDS method. In addition, venues and networks were identified which meet the feasibility criteria necessary to implement this public health evaluation (PHE). The extent to which MSM access services for HIV is unknown because providers and Zambian culture overall, generally do not know about or acknowledge MSM populations. Therefore, this PHE will also examine the possible methods for establishing these services for MSM.
SFH and CDC Zambia will work in collaboration with the Ministry of Health, who has given support for this work and special emphasis will be placed on ensuring confidentiality and anonymity. In addition to working with local contacts, a task order may be issued to contract with either a local or regional expert or consultant and a scope of work developed. Behavioral scientists from the Division of HIV/AIDS Prevention at CDC Atlanta will provide overall direction.
