Project

The Global Fund in-country fund agent in Somalia

Country(s)
Somalia
Duration
5 years
End date
December 2023

About the project:

Dedicated to preventing and treating HIV and AIDS, tuberculosis (TB) and malaria, the Global Fund promotes effective partnerships between governments, civil society, the private sector and affected communities. Since its creation in 2002, the Global Fund has approved funding of $22.9bn for more than 1,000 programmes in 151 countries. This includes Somalia, where the fund has signed a total of $345.8m in grants with UNICEF and World Vision as the principal recipients (PRs) of its grant funds.

MannionDaniels is the in-country local fund agent (LFA) for the Global Fund in Somalia, where grants are managed in a challenging operating context caused by ongoing insurgency, fragmentation of the country and lack of domestic resources for healthcare. Our in-depth understanding of the country – particularly the functioning of its health sector – and our ability to navigate relationships with different political actors mean we’re able to access most project sites in Somalia including 95 TB treatment units and more than 25 anti-retroviral treatment (ART) sites spread out throughout the country.

This ability to get into hard to reach areas allows us to provide assurance services that complement the services delivered by the existing LFA for Somalia, especially:

  • Spot checks on distribution of long-lasting insecticidal nets (LLINs)
  • TB – targeted data quality review
  • Assessment of District Health Information System (DHIS2)
  • Ad hoc procurement reviews
  • Assessment of retention of clients on ART and HIV programme management tools

The aim

Our in-depth programmatic and financial review of the grants will give the Global Fund country team and other stakeholders robust data and technical advice on how to improve grant implementation.

Who else is involved

Forcier Consulting provides local junior monitoring and evaluation officers to work with our senior technical experts in collecting high quality data during each assignment requested by the Global Fund.