Co-infection best predicts respiratory viral infection in a wild host

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dc.contributor.author Glidden, Caroline K.
dc.contributor.author Coon, C.A.C. (Courtney)
dc.contributor.author Beechler, Brianna R.
dc.contributor.author McNulty, Chase
dc.contributor.author Ezenwa, Vanessa O.
dc.contributor.author Jolles, Anna E.
dc.date.accessioned 2021-06-02T05:53:28Z
dc.date.issued 2021-03
dc.description.abstract 1. The dynamics of directly transmitted pathogens in natural populations are likely to result from the combined effects of host traits, pathogen biology, and interactions among pathogens within a host. Discovering how these factors work in concert to shape variation in pathogen dynamics in natural host–multi-pathogen systems is fundamental to understanding population health. 2. Here, we describe temporal variation in incidence and then elucidate the effect of hosts trait, season and pathogen co-occurrence on host infection risk using one of the most comprehensive studies of co-infection in a wild population: a suite of seven directly transmitted viral and bacterial respiratory infections from a 4-year study of 200 free-ranging African buffalo Syncerus caffer. 3. Incidence of upper respiratory infections was common throughout the study—five out of the seven pathogens appeared to be consistently circulating throughout our study population. One pathogen exhibited clear outbreak dynamics in our final study year and another was rarely detected. 4. Co-infection was also common in this system: The strongest indicator of pathogen occurrence for respiratory viruses was in fact the presence of other viral respiratory infections. Host traits had minimal effects on odds of pathogen occurrence but did modify pathogen–pathogen associations. In contrast, only season predicted bacterial pathogen occurrence. 5. Though a combination of environmental, behavioural, and physiological factors work together to shape disease dynamics, we found pathogen associations best determined infection risk. Our study demonstrates that, in the absence of very fine-scale data, the intricate changes among these factors are best represented by co-infection. en_ZA
dc.description.department Veterinary Tropical Diseases en_ZA
dc.description.embargo 2021-11-24
dc.description.librarian am2021 en_ZA
dc.description.sponsorship National Science Foundation Ecology of Infectious Disease; National Science Foundation; National Institute of Health; University of Pretoria; USDA-NSF-NIH-BBRSC Ecology and Evolution of Infectious Disease Program and Achievement Rewards for College Scientists Foundation. en_ZA
dc.description.uri http://wileyonlinelibrary.com/journal/jane en_ZA
dc.identifier.citation Glidden CK, Coon CAC, Beechler BR, McNulty C, Ezenwa VO, Jolles AE. Co-infection best predicts respiratory viral infection in a wild host. Journal of Animal Ecology 2021;90:602–614. https://DOI.org/10.1111/1365-2656.13391. en_ZA
dc.identifier.issn 0021-8790 (print)
dc.identifier.issn 1365-2656 (online)
dc.identifier.other 10.1111/1365-2656.13391
dc.identifier.uri http://hdl.handle.net/2263/80187
dc.language.iso en en_ZA
dc.publisher Wiley en_ZA
dc.rights © 2020 British Ecological Society. This is the pre-peer reviewed version of the following article : Co-infection best predicts respiratory viral infection in a wild host. Journal of Animal Ecology 2021;90:602–614. https://DOI.org/ 10.1111/1365-2656.13391. The definite version is available at : http://wileyonlinelibrary.com/journal/jane. en_ZA
dc.subject Bovine respiratory disease complex en_ZA
dc.subject Co-infection en_ZA
dc.subject Infection dynamics en_ZA
dc.subject Upper respiratory disease en_ZA
dc.subject African buffalo (Syncerus caffer) en_ZA
dc.title Co-infection best predicts respiratory viral infection in a wild host en_ZA
dc.type Postprint Article en_ZA


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