The future of zoonotic risk prediction

In the light of urgency raised by COVID-19 pandemic, global investment in wildlife virology is likely to increase, and new surveillance programmes will identify hundreds novel viruses that might someday pose a threat humans. To support extensive task laboratory characterization, scientists may increasingly rely on data-driven rubrics or machine learning models learn from known zoonoses which animal pathogens could health. We synthesize findings an interdisciplinary workshop zoonotic risk technologies answer following questions. What are prerequisites, terms open data, equity collaboration, development application those tools? effect technology have health? Who would control technology, who access it benefit it? Would improve pandemic prevention? Could create challenges? This article part theme issue ‘Infectious disease macroecology: parasite diversity dynamics across globe’.