Better methods to predict and prevent the emergence of zoonotic viruses could support
future efforts to reduce the risk of epidemics. We propose a network science framework for …

Highlights•Models predict zoonotic risk using viral traits, host range or genome
composition.•Input data availability defines prospects for zoonosis prediction before …

Outbreaks of zoonotic diseases are accelerating at an unprecedented rate in the current era
of globalization, with substantial impacts on the global economy, public health, and …

Most emerging and re-emerging infectious diseases stem from viruses that naturally
circulate in non-human vertebrates. When these viruses cross over into humans, they can …

Networks of species interactions underpin numerous ecosystem processes, but
comprehensively sampling these interactions is difficult. Interactions intrinsically vary across …

Identifying virus characteristics associated with the largest public health impacts on human
populations is critical to informing “zoonotic risk” assessments and surveillance strategies …

Data that catalogue viral diversity on Earth have been fragmented across sources,
disciplines, formats, and various degrees of open sharing, posing challenges for research …

The growing threat of vector-borne diseases, highlighted by recent epidemics, has prompted
increased focus on the fundamental biology of vector-virus interactions. To this end …

The world is rapidly urbanizing, inviting mounting concern that urban environments will
experience increased zoonotic disease risk. Urban animals could have more frequent …

Species are shifting their distributions in response to climate change. This geographic
reshuffling may result in novel co-occurrences among species, which could lead to unseen …