PREDICT

PREDICT
Name	PREDICT
Type	Research program
Founded	2009
Founder	EcoHealth Alliance, United States Agency for International Development
Headquarters	Not publicly centralized
Focus	Emerging infectious diseases, zoonoses, viral discovery
Country	United States

PREDICT

PREDICT was a global biosurveillance and viral discovery program aimed at identifying novel zoonotic viruses and assessing spillover risk. It partnered with institutions including EcoHealth Alliance, United States Agency for International Development, Centers for Disease Control and Prevention, World Health Organization, and numerous universities and wildlife agencies to collect samples and inform public health strategies. The program combined field ecology, molecular biology, computational modeling, and capacity building to map interfaces among humans, wildlife, and domestic animals across multiple countries.

Overview

PREDICT sought to detect previously unknown viruses in taxa such as bats, primates, rodents, and domestic animals by coordinating networks involving Wildlife Conservation Society, Smithsonian Institution, Metropolitan Museum of Art (conservation collaborations), University of California, Davis, University of Oxford, University of Georgia, Johns Hopkins University, Harvard University, Columbia University, Yale University, Stanford University, University of Cambridge, Imperial College London, MRC Unit The Gambia, Centers for Disease Control and Prevention, and regional ministries of health and agriculture. Field partners included national parks and protected areas such as Yellowstone National Park, Kruger National Park, Białowieża Forest, Ranthambore National Park, and research stations like Smithsonian Tropical Research Institute. Collaborative surveillance connected with programs at Food and Agriculture Organization, United Nations Environment Programme, and regional organizations like African Union and Association of Southeast Asian Nations.

History and Development

PREDICT was initiated in the late 2000s amid concerns following outbreaks such as SARS outbreak of 2002–2004, H5N1 avian influenza, and later Ebola virus epidemic in West Africa (2013–2016), drawing on prior research traditions exemplified by work at Rockefeller University, Pasteur Institute, Walter Reed Army Institute of Research, Centers for Disease Control and Prevention, and major field studies like those of Mary Leakey (paleoecology links) and contemporary programs at One Health Commission. Funding and policy intersections involved United States Agency for International Development, National Institutes of Health, National Science Foundation, Bill & Melinda Gates Foundation, and private donors. The program expanded through partnerships with national laboratories such as Los Alamos National Laboratory, Sandia National Laboratories, Lawrence Livermore National Laboratory, and international centers including Institut Pasteur, Oswaldo Cruz Foundation (Fiocruz), International Centre for Diarrhoeal Disease Research, Bangladesh, and China CDC collaborators. Pivotal collaborations linked PREDICT data streams with modeling efforts at Imperial College London, Harvard T.H. Chan School of Public Health, and Johns Hopkins Bloomberg School of Public Health.

Methodology and Algorithms

Field sampling protocols drew on methods developed in studies at Duke University, University of California, Berkeley, Princeton University, Massachusetts Institute of Technology, National Institutes of Health, University of Texas Medical Branch, and Monash University. Laboratory pipelines integrated sequencing platforms from Illumina, Oxford Nanopore Technologies applied in facilities like Sanger Institute, Wellcome Trust Centre, and national reference labs. Bioinformatics workflows incorporated tools and algorithms informed by research at Broad Institute, European Bioinformatics Institute, EMBL-EBI, National Center for Biotechnology Information, Los Alamos National Laboratory, and algorithmic frameworks from groups at MIT CSAIL, Carnegie Mellon University, University of Washington, and Stanford AI Lab. Machine learning components paralleled approaches used in projects at DeepMind, OpenAI, Google Research, Microsoft Research, and academic groups at University of Toronto and University College London, employing classifiers for host prediction, phylogenetic placement, and risk scoring. Ecological and statistical models echoed methods from Princeton University, University of Chicago, Columbia University, and Cornell University to estimate spillover probabilities and geographic risk mapping.

Applications and Impact

Outputs informed surveillance and response strategies used by World Health Organization, Pan American Health Organization, African CDC, European Centre for Disease Prevention and Control, and national public health institutes. Data supported vaccine and therapeutic research programs at Moderna, Pfizer, AstraZeneca, GlaxoSmithKline, Sanofi, GSK, and research consortia at Coalition for Epidemic Preparedness Innovations, Wellcome Trust, and Bill & Melinda Gates Foundation. Findings contributed to field guides and protocols used by conservation organizations like WWF, Conservation International, The Nature Conservancy, and academic curricula at London School of Hygiene & Tropical Medicine, Yale School of Public Health, and Johns Hopkins. Capacity building partnered with ministries and universities across Indonesia, Democratic Republic of the Congo, Peru, Bangladesh, Uganda, Kenya, Thailand, Vietnam, Cambodia, Nepal, and linked to frameworks like Global Health Security Agenda and International Health Regulations (2005).

Criticisms and Controversies

Critiques referenced debates involving research policy actors such as National Academy of Sciences, National Academies of Sciences, Engineering, and Medicine, Biosecurity Advisory Panel, NGOs including Human Rights Watch, Amnesty International, and reporting by outlets covering controversies in funding and biosafety. Concerns aligned with discussions at forums like World Health Assembly, Convention on Biological Diversity, and legal instruments including Nagoya Protocol, focusing on sample ownership, benefit-sharing, and dual-use research risks highlighted by scholars at Harvard Kennedy School, Georgetown University, Yale Law School, Stanford Law School, and think tanks such as RAND Corporation, Center for Strategic and International Studies, and Brookings Institution. Debates invoked incidents and histories involving SARS, Middle East respiratory syndrome, and biosafety breaches examined by GAO, Congressional Research Service, and national oversight bodies.

Regulatory and Ethical Considerations

Regulatory engagement involved entities like United States Department of Health and Human Services, Office of Science and Technology Policy, European Commission, World Organisation for Animal Health (OIE), and national ministries of science and health. Ethical frameworks referenced scholarship from Nuffield Council on Bioethics, National Institutes of Health Office of Science Policy, Council for International Organizations of Medical Sciences, UNESCO, and institutional review boards at universities including Columbia University, University of Oxford, Harvard University, and University of Cape Town. Policy discussions intersected with international agreements such as International Health Regulations (2005), Nagoya Protocol, and programs under Global Health Security Agenda to address data sharing, benefit-sharing, biosafety, and informed consent in surveillance and research collaborations.

Category:Public health programs