| mayaro virus in wild mammals, french guiana. | | 2003 | 14609474 |
| 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 |
| 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 |
| mayaro virus fever in french guiana: isolation, identification, and seroprevalence. | this paper reports the first isolation of mayaro (may) virus from a patient infected in french guiana. the identification was initially performed using immunofluorescent antibody testing with specific mouse antibody, and confirmed by plaque-reduction neutralization testing and reverse transcription-polymerase chain reaction. to determine if may virus infection is widespread in french guiana, a serosurvey was performed to determine the prevalence of antibody to this virus in various ethnic groups ... | 1998 | 9749643 |
| 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 |