| Literature DB >> 30958239 |
Daniel J Becker1,2,3, Claire S Teitelbaum1,2, Maureen H Murray4,5, Shannon E Curry4,5, Catharine N Welch4,5, Taylor Ellison4,5, Henry C Adams4,5, R Scott Rozier6, Erin K Lipp6, Sonia M Hernandez4,5, Sonia Altizer1,2, Richard J Hall1,2,7.
Abstract
Conversion of natural habitats into urban landscapes can expose wildlife to novel pathogens and alter pathogen transmission pathways. Because transmission is difficult to quantify for many wildlife pathogens, mathematical models paired with field observations can help select among competing transmission pathways that might operate in urban landscapes. Here we develop a mathematical model for the enteric bacteria Salmonella enterica in urban-foraging white ibis ( Eudocimus albus) in south Florida as a case study to determine (i) the relative importance of contact-based versus environmental transmission among ibis and (ii) whether transmission can be supported by ibis alone or requires external sources of infection. We use biannual field prevalence data to restrict model outputs generated from a Latin hypercube sample of parameter space and select among competing transmission scenarios. We find the most support for transmission from environmental uptake rather than between-host contact and that ibis-ibis transmission alone could maintain low infection prevalence. Our analysis provides the first parameter estimates for Salmonella shedding and uptake in a wild bird and provides a key starting point for predicting how ibis response to urbanization alters their exposure to a multi-host zoonotic enteric pathogen. More broadly, our study provides an analytical roadmap to assess transmission pathways of multi-host wildlife pathogens in the face of scarce infection data.Entities:
Keywords: environmental transmission; epidemiology; mathematical modelling; resource provisioning; sensitivity analysis; urbanization
Mesh:
Year: 2018 PMID: 30958239 PMCID: PMC6303792 DOI: 10.1098/rsif.2018.0654
Source DB: PubMed Journal: J R Soc Interface ISSN: 1742-5662 Impact factor: 4.118