| host and viral traits predict zoonotic spillover from mammals. | the majority of human emerging infectious diseases are zoonotic, with viruses that originate in wild mammals of particular concern (for example, hiv, ebola and sars). understanding patterns of viral diversity in wildlife and determinants of successful cross-species transmission, or spillover, are therefore key goals for pandemic surveillance programs. however, few analytical tools exist to identify which host species are likely to harbour the next human virus, or which viruses can cross species ... | 2017 | 28636590 |
| antibodies against equine herpesviruses and equine arteritis virus in burchell's zebras (equus burchelli ) from the serengeti ecosystem. | a total of 51 sera from a migratory population of burchell's zebras (equus burchelli) were collected in the serengeti national park (tanzania) between 1999 and 2001 to assess levels of exposure to equine herpesvirus types 1, 2, 4, 9 (ehv-1, -2, -4, -9), ehv-1 zebra isolate t965, and equine arteritis virus (eav). using virus-specific neutralizing antibody tests, seroprevalence was high for ehv-9 (60% of 45), moderate for eav (24% of 51), and lower for the ehv-1-related zebra isolate (17% of 41), ... | 2005 | 15827213 |
| global mammal parasite database version 2.0. | illuminating the ecological and evolutionary dynamics of parasites is one of the most pressing issues facing modern science, and is critical for basic science, the global economy, and human health. extremely important to this effort are data on the disease-causing organisms of wild animal hosts (including viruses, bacteria, protozoa, helminths, arthropods, and fungi). here we present an updated version of the global mammal parasite database, a database of the parasites of wild ungulates (artioda ... | 2017 | 28273333 |
| predicting the global mammalian viral sharing network using phylogeography. | understanding interspecific viral transmission is key to understanding viral ecology and evolution, disease spillover into humans, and the consequences of global change. prior studies have uncovered macroecological drivers of viral sharing, but analyses have never attempted to predict viral sharing in a pan-mammalian context. using a conservative modelling framework, we confirm that host phylogenetic similarity and geographic range overlap are strong, nonlinear predictors of viral sharing among ... | 2020 | 32385239 |