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 2011 2012 2013 2014
There are differences in TB and HIV prevalence and population dynamics between the Western and Southern areas of Botswana which offer a unique opportunity for the study and comparison of the transmission dynamics of TB and MDR TB in stable/aggregated and dynamic/open populations and determine the effect of HIV on these transmission dynamics. Molecular epidemiology provides unique opportunities to understand crucial aspects of the transmission dynamics of TB in the community that could lead to successful public health interventions.
This Molecular Epidemiology Program will be a collaborative project between the Government of Botswana, the Botswana-University of Pennsylvania Partnership and CDC. We will combine classical epidemiologic methods and molecular epidemiology to determine the transmission dynamics of TB in closed/clustered (Western region) and open/dynamic (Southern region) populations in Botswana and the effect of HIV infection and drug-resistance on TB transmission in these settings. Mathematical models of TB epidemics using real-world data generated will be developed to measure the effectiveness of different public health interventions to interfere with TB transmission and to guide the Ministry of Health to direct infection control measures towards hotspots of TB transmission in the country.
Of the $450,000 set aside for the TB/HIV Program, $200,000 will be for cost share operational expenses. An additional $250,000 will be used to procure and set up a containerized BioSafety Level (BSL) 3 lab in Ghanzi. This lab will be used to conduct DNA fingerprinting of TB isolates from the Ghanzi area which has the highest TB rates in the country. The data will be used by the National Tuberculosis Program to direct infection control measures towards hotspots of TB transmission in the country. The Molecular Epidemiology Program is a collaborative project with the Government of Botswana, the University of Pennsylvania, and CDC and is funded by CDC and NIH.
