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Abrupt events and population synchrony in the dynamics of Bovine Tuberculosis
A. Moustakas, MR. Evans, IN. Daliakopoulos, Y. Markonis,
Jazyk angličtina Země Anglie, Velká Británie
Typ dokumentu časopisecké články
NLK
Directory of Open Access Journals
od 2015
Free Medical Journals
od 2010
Nature Open Access
od 2010-12-01
PubMed Central
od 2012
Europe PubMed Central
od 2012
ProQuest Central
od 2010-01-01
Open Access Digital Library
od 2015-01-01
Open Access Digital Library
od 2015-01-01
Medline Complete (EBSCOhost)
od 2012-11-01
Health & Medicine (ProQuest)
od 2010-01-01
ROAD: Directory of Open Access Scholarly Resources
od 2010
Springer Nature OA/Free Journals
od 2010-12-01
- MeSH
- časoprostorová analýza * MeSH
- epidemický výskyt choroby * MeSH
- epidemiologické monitorování MeSH
- incidence MeSH
- Mycobacterium bovis izolace a purifikace MeSH
- skot MeSH
- statistické modely * MeSH
- stochastické procesy MeSH
- tuberkulóza skotu epidemiologie mikrobiologie přenos MeSH
- zvířata MeSH
- Check Tag
- skot MeSH
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Spojené království MeSH
Disease control strategies can have both intended and unintended effects on the dynamics of infectious diseases. Routine testing for the harmful pathogen Bovine Tuberculosis (bTB) was suspended briefly during the foot and mouth disease epidemic of 2001 in Great Britain. Here we utilize bTB incidence data and mathematical models to demonstrate how a lapse in management can alter epidemiological parameters, including the rate of new infections and duration of infection cycles. Testing interruption shifted the dynamics from annual to 4-year cycles, and created long-lasting shifts in the spatial synchrony of new infections among regions of Great Britain. After annual testing was introduced in some GB regions, new infections have become more de-synchronised, a result also confirmed by a stochastic model. These results demonstrate that abrupt events can synchronise disease dynamics and that changes in the epidemiological parameters can lead to chaotic patterns, which are hard to be quantified, predicted, and controlled.
Citace poskytuje Crossref.org
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