ABSTRACT
Host-virus associations have co-evolved under ecological and evolutionary selection pressures that shape cross-species transmission and spillover to humans. Observed virus-host associations provide relevant context for newly discovered wildlife viruses to assess knowledge gaps in host-range and estimate pathways for potential human infection. Using models to predict virus-host networks, we predicted the likelihood of humans as hosts for 513 newly discovered viruses detected by large-scale wildlife surveillance at high-risk animal-human interfaces in Africa, Asia, and Latin America. Predictions indicated that novel coronaviruses are likely to infect a greater number of host species than viruses from other families. Our models further characterize novel viruses through prioritization scores and directly inform surveillance targets to identify host ranges for newly discovered viruses.
Subject(s)
Viruses , Zoonoses , Africa , Animals , Animals, Wild , Host Specificity , Humans , Zoonoses/epidemiologyABSTRACT
The objective was to determine if stress constitutes a risk factor in university students' academic performance during the COVID-19 pandemic in Puno Peru. The study uses a correlational quantitative approach. Stress was measured using the additive index construction of the Patients Health Questionnaire (PHQ-9) and through the factorial analysis of principal components from PHQ- 9. Furthermore, the academic risk was calculated using the probit regression method;a group of 1046 university students from three study programs were the sample subjects. The results show that students who experience higher levels of stress are more likely to report a decline in their grades and learning achievements during the pandemic. It is evidenced that an increase in an additional unit of stress increases the risk of deterioration in academic performance by approximately 3%.