USAID PREDICT Program
The United States Agency for International Development (USAID) initiated the Emerging Pandemic Threats (EPT) program in 2009 with the goal of strengthening capacities in developing countries to prevent, detect, and control infectious diseases. PREDICT, a surveillance and virus discovery component of the EPT program, focuses on building capacity to identify potential viral threats at high-risk animal-human pathogen transmission interfaces where diseases are most likely to emerge.
USAID PREDICT Program in Myanmar
As a leader in conservation research, Smithsonian researchers have worked closely with Myanmar's Ministry of Environmental Conservation and Forestry (formerly Ministry of Forestry) for over 20 years and continues to achieve effective conservation and management through research and training.
Among the Smithsonian's many conservation and scientific activities in Myanmar, Smithsonian's Global Health Program (SGHP) is dedicated to conservation medicine, disease prevention, and the overlap between animal, human, and ecological health. As a part of these goals, SGHP has partnered with USAID and the PREDICT program, for which SGHP is the lead member in Myanmar activities.
The Smithsonian's Global Health Program's PREDICT/Myanmar team's goal is to better understand how diseases are transmitted from animals to humans. Researchers collect samples from a wide array of species, including but not limited to bats, rodents, and primates around Myanmar. Because disease transmission is most likely to occur when humans have direct interaction with wildlife, SGHP also studies these types of interactions such as hunting, wildlife markets, and wildlife trade. Additionally, SGHP investigates domestic animals and coordinates with human healthcare professionals to help identify viral risks in humans. In sharing information between human and animal health professionals, the PREDICT/Myanmar team aims to identify dangerous zoonotic diseases before they become pandemic threats, facilitating rapid response to currently undetected viruses.