| 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 |
| using data mining and network analysis to infer arboviral dynamics: the case of mosquito-borne flaviviruses reported in mexico. | given the significant impact of mosquito-borne flaviviruses (mbfvs) on both human and animal health, predicting their dynamics and understanding their transmission cycle is of the utmost importance. usually, predictions about the distribution of priority pathogens, such as dengue, yellow fever, west nile virus and st. louis encephalitis, relate abiotic elements to simple biotic components, such as a single causal agent. furthermore, focusing on single pathogens neglects the possibility of intera ... | 2021 | 33946977 |