📣 Help Shape the Future of UKRI's Gateway to Research (GtR)

We're improving UKRI's Gateway to Research and are seeking your input! If you would be interested in being interviewed about the improvements we're making and to have your say about how we can make GtR more user-friendly, impactful, and effective for the Research and Innovation community, please email gateway@ukri.org.

A framework to predict zoonotic hosts under data uncertainty: A case study on betacoronaviruses (2025)

First Author: Tonelli A

Attributed to: Where coronaviruses hide, where novel strains are generated, and how they get to us: Predicting reservoirs, recombination, and geographical hotspots funded by NERC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1111/2041-210x.14500

Publication URI: http://dx.doi.org/10.1111/2041-210x.14500

Type: Journal Article/Review

Parent Publication: Methods in Ecology and Evolution

Issue: 3