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Featured projects

Malaria Action Program for Districts
USAID’s Malaria Action Program for Districts is focused on preventing and controlling malaria morbidity and mortality in Uganda through support to the government on a range of activities to minimise the social impact and economic losses on those affected. The five-year project is being implemented in 43 districts in the Central, Western and West Nile regions of Uganda. Between 2016 and 2021, the programme aims to reach an estimated 13 million people.

Malaria Prevention and Control 
The Malaria Prevention and Control project, supported by Global Fund and led by World Vision Mozambique, partnered with Medicos de Mundi, International Relief and Development, Fundação de Desenvolvimento da Comunidade, Food for the Hungry and Malaria Consortium, aims to prevent and control malaria through a combination of interventions.

ACCESS-SMC is a UNITAID-funded project, led by Malaria Consortium in partnership with Catholic Relief Services (CRS), which is supporting National Malaria Control and Elimination Programs in seven countries (Burkina Faso, Chad, Guinea, Mali, Niger, Nigeria, The Gambia) to lead the first-ever at-scale roll out of seasonal malaria chemoprevention (SMC). Over the next two years, this project will provide an estimated 45 million treatments to vulnerable children. 

COMDIS-HSD is a Research Programme Consortium (RPC) which carries out research projects across a variety of settings in order to improve delivery of health services for underserved populations, with a focus on communicable diseases. 

Building on Malaria Consortium’s previous work in Mozambique through the Bill & Melinda Gates funded inSCALE project (2009-2016), the upSCALE project will further develop the mHealth system and community health worker app (formerly known as inSCALE  APE CommCare), that was previously introduced in selected districts in Inhambane province, to create a national community health worker mHealthsystem. 

Acute Respiratory infection diagnostic aids (ARIDA) project
Diagnosing pneumonia is challenging at all levels of healthcare. Diagnosis requires counting respiratory rates and inaccurate counts can lead to incorrect diagnosis and inappropriate treatment. The ARIDA project aims to introduce automated respiratory rate counting aids for use by frontline health workers in resource limited community settings and health facilities that offer improved accuracy and effectiveness compared to current practice for classifying pneumonia


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