About: Detecting signals of chronic shedding to explain pathogen persistence: Leptospira interrogans in California sea lions

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: Detecting signals of chronic shedding to explain pathogen persistence: Leptospira interrogans in California sea lions Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Detecting signals of chronic shedding to explain pathogen persistence: Leptospira interrogans in California sea lions
Creator	Lloyd-Smith, James Prager, Katherine Greig, Denise Delong, Robert Buhnerkempe, Michael Gulland, Frances Laake, Jeff Melin, Sharon Strelioff, Christopher
Source	Medline; PMC
abstract	1. Identifying mechanisms driving pathogen persistence is a vital component of wildlife disease ecology and control. Asymptomatic, chronically infected individuals are an oft‐cited potential reservoir of infection, but demonstrations of the importance of chronic shedding to pathogen persistence at the population‐level remain scarce. 2. Studying chronic shedding using commonly collected disease data is hampered by numerous challenges, including short‐term surveillance that focuses on single epidemics and acutely ill individuals, the subtle dynamical influence of chronic shedding relative to more obvious epidemic drivers, and poor ability to differentiate between the effects of population prevalence of chronic shedding vs. intensity and duration of chronic shedding in individuals. 3. We use chronic shedding of Leptospira interrogans serovar Pomona in California sea lions (Zalophus californianus) as a case study to illustrate how these challenges can be addressed. Using leptospirosis‐induced strands as a measure of disease incidence, we fit models with and without chronic shedding, and with different seasonal drivers, to determine the time‐scale over which chronic shedding is detectable and the interactions between chronic shedding and seasonal drivers needed to explain persistence and outbreak patterns. 4. Chronic shedding can enable persistence of L. interrogans within the sea lion population. However, the importance of chronic shedding was only apparent when surveillance data included at least two outbreaks and the intervening inter‐epidemic trough during which fadeout of transmission was most likely. Seasonal transmission, as opposed to seasonal recruitment of susceptibles, was the dominant driver of seasonality in this system, and both seasonal factors had limited impact on long‐term pathogen persistence. 5. We show that the temporal extent of surveillance data can have a dramatic impact on inferences about population processes, where the failure to identify both short‐ and long‐term ecological drivers can have cascading impacts on understanding higher order ecological phenomena, such as pathogen persistence.
has issue date	2017-04-03(xsd:dateTime)
bibo:doi	10.1111/1365-2656.12656
bibo:pmid	28207932
has license	no-cc
sha1sum (hex)	cec4532414e43295bce63c118492705f09304ab4
schema:url	https://doi.org/10.1111/1365-2656.12656
resource representing a document's title	Detecting signals of chronic shedding to explain pathogen persistence: Leptospira interrogans in California sea lions
has PubMed Central identifier	PMC7166352
has PubMed identifier	28207932
schema:publication	J Anim Ecol
resource representing a document's body	covid:cec4532414e43295bce63c118492705f09304ab4#body_text
is schema:about of	named entity 'patterns' named entity 'needed' named entity 'apparent' named entity 'individuals' named entity 'factors' named entity 'seasonal' named entity 'chronic' named entity 'fadeout' named entity 'disease' named entity 'trough' named entity 'interactions' named entity 'data' named entity 'remain' named entity 'subtle' named entity 'DISEASE DATA' named entity 'NEEDED' named entity 'CHRONIC' named entity 'INTERACTIONS' named entity 'IDENTIFYING' named entity 'WHERE' named entity 'ABILITY TO' named entity 'DIFFERENT' named entity 'EPIDEMIC' named entity 'RELATIVE TO' named entity 'FAILURE' named entity 'CALIFORNIA' named entity 'persistence' named entity 'effects' named entity 'influence' named entity 'Leptospira interrogans' named entity 'L. interrogans' named entity 'California' named entity 'data' named entity 'shedding' named entity 'higher order' named entity 'data' named entity 'processes' named entity 'impact' named entity 'individuals' named entity 'dominant' named entity 'transmission' named entity 'persistence' named entity 'incidence' named entity 'control' named entity 'individuals' named entity 'Seasonal' named entity 'cascading' named entity 'epidemic' named entity 'Zalophus californianus' named entity 'wildlife disease' named entity 'pathogen' named entity 'serovar' named entity 'Leptospira interrogans' named entity 'epidemic' named entity 'dramatic impact' named entity 'Asymptomatic' named entity 'pathogen' named entity 'Subadult' named entity 'probability' named entity 'infectious diseases' named entity 'confidence region' named entity 'Levett' named entity 'sea lion' named entity 'long-term' named entity 'quantitative PCR' named entity 'refractory periods' named entity 'epidemiological' named entity 'Genetic analyses' named entity 'Leptospira' named entity 'serovar' named entity 'leptospirosis' named entity 'endogenous' named entity 'acute infection'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software