Leveraging data and research to make international health efforts more effective
AidData comes alongside its partners to bolster the impact of their health programs. Whether our partners aim to reduce HIV and malaria rates, combat infectious diseases, or improve maternal and child health, AidData uses its data, tools, and methods to help identify populations in need, strengthen national health systems, and evaluate project impacts on health outcomes.
With support from a network of in-country implementation partners, AidData has collaborated with PEPFAR and USAID Food for Peace on health-related projects. We have also conducted research on health projects implemented by organizations like the World Bank, Global Fund, DFID, and the Bill and Melinda Gates Foundation.
Health Data Innovation
Helping policymakers use data to improve decision-making and resource allocation in health
With funding from PEPFAR, AidData and its partners are building an Open Geospatial Data Center for Health (OpenDCH) in Côte d’Ivoire.
A remaining challenge in combatting HIV/AIDS is to more effectively target hotspots and ensure that resources are finding their way to communities with the greatest needs. AidData has partnered with Development Gateway, the Ministry of Health, and USAID/Côte d’Ivoire to build the OpenDCH, a hub of collaboration that will enhance the capacity of the government and other stakeholders to use data on HIV/AIDS to identify high risk areas, understand where services are placed, and close gaps in prevention and treatment. Along with two Ivorian fellows embedded at AidData, researchers are analyzing data collected from this project to conduct a geospatial impact evaluation to see which approaches have led to the greatest impact.
AidData partnered with local organizations in two countries to help policymakers make healthcare decisions with the best available data and evidence.
As part of the DREAMS Innovation Challenge issued by PEPFAR, AidData has produced new tools and analysis to support policymakers making crucial healthcare decisions in the fight against HIV/AIDS. In Zambia, AidData and its partner Akros upgraded the National AIDS Council Management Information System (NACMIS), equipping government and implementing partners with the information they need to effectively allocate resources and deliver prevention and treatment services, especially among adolescent girls and young women. In Uganda, AidData collaborated with ToroDev to assess Uganda's data ecosystem and craft recommendations for strengthening the country's health information management systems.
Evaluating hard-to-measure impacts of health interventions with next-generation methods of geospatial analysis
A new geospatial impact evaluation by AidData and other researchers uncovers large declines in child mortality from a national bednet campaign.
The study, published in the journal PLOS ONE, finds that a national bednet distribution campaign in the DRC led to a 41% decline in mortality rates among children under five living in high-malaria areas. What’s more, the effect of the campaign was found to be strongest among the poorest 20% of households. The study examines whether the attributes of a specific location—important factors like the malaria ecology index, or how malaria-burdened an area is—affected how well the bednet program worked to reduce child mortality. It measures a lever that governments and aid donors can directly affect (access to a bednet program) rather than one that they can only indirectly influence, like ensuring household and individual use of bednets.
Case Study: Improving health and nutrition for food-insecure households in Malawi
AidData is evaluating how durable improvements in health behaviors were after a USAID program ended.
AidData is currently implementing a long-run impact evaluation of the Wellness and Agriculture for Life Advancement (WALA) program, which aimed to improve nutrition and food security for over 200,000 chronically food-insecure households by demonstrating sustainable agricultural practices and optimal health behaviors. By the program's end in 2014, villages experienced reductions in stunting and underweight status, and a significant improvement in household dietary diversity. But have communities carried on with these healthy behaviors after the program closed, and have the lower levels of stunting and underweight status continued? AidData's rigorous impact evaluation will employ quasi-experimental methods that compare villages in the program with other villages who did not experience the program to answer this question.