-
Something wrong with this record ?
Abrupt events and population synchrony in the dynamics of Bovine Tuberculosis
A. Moustakas, MR. Evans, IN. Daliakopoulos, Y. Markonis,
Language English Country England, Great Britain
Document type Journal Article
NLK
Directory of Open Access Journals
from 2015
Free Medical Journals
from 2010
Nature Open Access
from 2010-12-01
PubMed Central
from 2012
Europe PubMed Central
from 2012
ProQuest Central
from 2010-01-01
Open Access Digital Library
from 2015-01-01
Open Access Digital Library
from 2015-01-01
Medline Complete (EBSCOhost)
from 2012-11-01
Health & Medicine (ProQuest)
from 2010-01-01
ROAD: Directory of Open Access Scholarly Resources
from 2010
Springer Nature OA/Free Journals
from 2010-12-01
- MeSH
- Spatio-Temporal Analysis * MeSH
- Disease Outbreaks * MeSH
- Epidemiological Monitoring MeSH
- Incidence MeSH
- Mycobacterium bovis isolation & purification MeSH
- Cattle MeSH
- Models, Statistical * MeSH
- Stochastic Processes MeSH
- Tuberculosis, Bovine epidemiology microbiology transmission MeSH
- Animals MeSH
- Check Tag
- Cattle MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
- Geographicals
- United Kingdom 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.
References provided by Crossref.org
- 000
- 00000naa a2200000 a 4500
- 001
- bmc19000542
- 003
- CZ-PrNML
- 005
- 20190108125951.0
- 007
- ta
- 008
- 190107s2018 enk f 000 0|eng||
- 009
- AR
- 024 7_
- $a 10.1038/s41467-018-04915-0 $2 doi
- 035 __
- $a (PubMed)30026483
- 040 __
- $a ABA008 $b cze $d ABA008 $e AACR2
- 041 0_
- $a eng
- 044 __
- $a enk
- 100 1_
- $a Moustakas, Aristides $u Institute for Applied Data Analytics, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong, BE, 1410, Brunei Darussalam. arismoustakas@gmail.com.
- 245 10
- $a Abrupt events and population synchrony in the dynamics of Bovine Tuberculosis / $c A. Moustakas, MR. Evans, IN. Daliakopoulos, Y. Markonis,
- 520 9_
- $a 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.
- 650 _2
- $a zvířata $7 D000818
- 650 _2
- $a skot $7 D002417
- 650 12
- $a epidemický výskyt choroby $7 D004196
- 650 _2
- $a epidemiologické monitorování $7 D062665
- 650 _2
- $a incidence $7 D015994
- 650 12
- $a statistické modely $7 D015233
- 650 _2
- $a Mycobacterium bovis $x izolace a purifikace $7 D009163
- 650 12
- $a časoprostorová analýza $7 D062211
- 650 _2
- $a stochastické procesy $7 D013269
- 650 _2
- $a tuberkulóza skotu $x epidemiologie $x mikrobiologie $x přenos $7 D014380
- 651 _2
- $a Spojené království $x epidemiologie $7 D006113
- 655 _2
- $a časopisecké články $7 D016428
- 700 1_
- $a Evans, Matthew R $u School of Biological Sciences, Kadoorie Biological Sciences Building, The University of Hong Kong, Pok Fu Lam Road, Hong Kong, SAR, China.
- 700 1_
- $a Daliakopoulos, Ioannis N $u School on Environmental Engineering, Technical University of Crete, Polytechnioupolis, Chania, 73100, Greece. Department of Agriculture, Technological Educational Institute of Crete, Estavromenos, Heraklion, 71004, Greece.
- 700 1_
- $a Markonis, Yannis $u Faculty of Environmental Sciences, Czech University of Life Sciences Prague, Kamýcká 129, Praha-Suchdol, 165 00, Czech Republic.
- 773 0_
- $w MED00184850 $t Nature communications $x 2041-1723 $g Roč. 9, č. 1 (2018), s. 2821
- 856 41
- $u https://pubmed.ncbi.nlm.nih.gov/30026483 $y Pubmed
- 910 __
- $a ABA008 $b sig $c sign $y a $z 0
- 990 __
- $a 20190107 $b ABA008
- 991 __
- $a 20190108130152 $b ABA008
- 999 __
- $a ok $b bmc $g 1364602 $s 1038665
- BAS __
- $a 3
- BAS __
- $a PreBMC
- BMC __
- $a 2018 $b 9 $c 1 $d 2821 $e 20180719 $i 2041-1723 $m Nature communications $n Nat Commun $x MED00184850
- LZP __
- $a Pubmed-20190107