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1.
Epidemiol Infect ; 142(10): 2065-74, 2014 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-24759569

RESUMO

A retrospective cohort study was conducted to identify risk factors for bovine tuberculosis (bTB) recurrence in New Zealand cattle and deer herds identified as bTB-infected from 1 June 2006 to 1 November 2010. A Cox proportional hazards model identified a positive relationship between the daily hazard of bTB recurrence and: (1) the number of prior bTB episodes for two episodes [hazard ratio (HR) 3·22, 95% confidence interval (CI) 1·21-8·60], and for five episodes (HR 89·5, 95% CI 13·8-580), (2) more than one positive bTB case animal at the index episode (HR 2·25, 95% CI 1·19-4·25) and (3) the presence of cleared test-positives at the final test of the index episode. The proportional hazards assumption was violated for the latter variable so a time-dependent covariate was introduced. Up to 2 years post-clearance, the daily hazard of bTB recurrence was greater in herds with test-positives at the final test (HR 2·59, 95% CI 1·30-5·13), but this effect was not observed more than 2 years' post-clearance (HR 1·05, 95% CI 0·28-3·91). We conclude that unresolved infection contributes to further bTB episodes in the first 2 years after herd clearance.


Assuntos
Tuberculose Bovina/epidemiologia , Animais , Bovinos , Estudos de Coortes , Cervos , Análise Multivariada , Nova Zelândia/epidemiologia , Modelos de Riscos Proporcionais , Recidiva , Estudos Retrospectivos , Fatores de Risco
2.
Vet Microbiol ; 112(2-4): 291-301, 2006 Feb 25.
Artigo em Inglês | MEDLINE | ID: mdl-16337346

RESUMO

It is expected that the revised chapter on bovine tuberculosis in the Terrestrial Animal Health Code of the Office Internationale des Epizooties (OIE) will embrace regionalization as a functional means of assisting countries, states or regions to meet the requirements for freedom from tuberculosis and to facilitate trade. The benefits and applications of regionalization, which comprises zoning and compartmentalisation, are discussed. Regionalization requires that a country's veterinary administration is able to implement transparent and auditable biosecurity measures that will ensure that the tuberculosis-free status of a subpopulation of cattle is maintained despite the presence of infection in another cattle subpopulation, or in other domestic or wild animal species. Zoning, which requires cattle subpopulations to be separated by geographic boundaries, provides a practical basis whereby countries, states or regions, can progress towards freedom from tuberculosis, regardless of the source of infection for defined cattle subpopulations. Compartmentalisation however, requires that husbandry or management practices will be used to prevent a tuberculosis-free cattle subpopulation from contacting interspecific and intraspecific sources of infection. This will be difficult to achieve except for specialised cases such as artificial breeding centers.


Assuntos
Criação de Animais Domésticos/normas , Tuberculose Bovina/economia , Tuberculose Bovina/prevenção & controle , Criação de Animais Domésticos/métodos , Animais , Animais Selvagens/microbiologia , Bovinos , Controle de Doenças Transmissíveis/economia , Controle de Doenças Transmissíveis/métodos , Cervos , Reservatórios de Doenças/microbiologia , Reservatórios de Doenças/veterinária , Vetores de Doenças , Michigan/epidemiologia , Mycobacterium bovis/isolamento & purificação , Nova Zelândia/epidemiologia , Risco , Tuberculose Bovina/epidemiologia
3.
N Z Vet J ; 63 Suppl 1: 68-76, 2015 Jun.
Artigo em Inglês | MEDLINE | ID: mdl-25384267

RESUMO

AIM: To explore how the inclusion of multi-host dynamics affects the predicted prevalence of bovine tuberculosis (TB) in possums and other host species following the current best practice for control of TB in large difficult and remote areas, to identify which host species are responsible for changes in predicted prevalence, and whether TB can persist in possum-free host communities. METHODS: Multi-host TB models were constructed, comprising three host species with density-dependent population growth, density-dependent disease transmission and susceptible and infected classes. Models were parameterised for two case studies of current concern in New Zealand, namely chronic TB persistence in a possum-deer-pig complex in extensive forest, and in a possum-pig-ferret complex in unforested semi-arid shrub and grasslands. Persistence of TB in the face of best practice possum control was evaluated from model simulations, and the contribution of different hosts to persistence of TB was assessed by removing each host species in turn from the simulations. A sensitivity test explored how different parameter values affected modelled persistence of TB. RESULTS: The forest multi-host model-predicted amplification of TB prevalence due to the presence of pigs. The presence of pigs and/or deer did not jeopardise the success of best practice possum control in eradicating TB from the system, as pigs and deer are effectively end-hosts for TB. Sensitivity analyses indicated these interpretations were robust to uncertainty in model parameter values. The grassland system model predicted that the multi-host species complex could potentially lead to failure of eradication of TB under possum-only control, due to TB persisting in ferret and pig populations in the absence of possum hosts through reciprocal scavenging, resulting in spillback transmission to possums once their populations had started to recover from control. CONCLUSIONS: With respect to management of TB, for modelled forest habitats, 15 years of effective possum control was predicted to eradicate TB from the possum-deer-pig host community, indicating the current focus on possum-only control is appropriate for such areas. For grassland model systems, TB was predicted to persist in the ferret-pig host complex in the absence of possums, potentially jeopardising the effectiveness of possum-only control programmes. However this outcome depended on the occurrence and rate of pigs acquiring TB from ferrets, which is unknown. Thus some estimation of this transmission parameter is required to enable managers to assess if multi-host disease dynamics are important for their TB control programmes.


Assuntos
Animais Selvagens , Reservatórios de Doenças/veterinária , Modelos Biológicos , Tuberculose Bovina/epidemiologia , Animais , Bovinos , Simulação por Computador , Florestas , Pradaria , Nova Zelândia/epidemiologia , Densidade Demográfica , Fatores de Tempo
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