Detalhe da pesquisa
1.
Risk-based surveillance for meat-borne parasites.
Exp Parasitol
; 208: 107808, 2020 Jan.
Artigo
em Inglês
| MEDLINE | ID: mdl-31765613
2.
Transmission parameters estimated for Salmonella typhimurium in swine using susceptible-infectious-resistant models and a Bayesian approach.
BMC Vet Res
; 10: 101, 2014 Apr 28.
Artigo
em Inglês
| MEDLINE | ID: mdl-24774444
3.
Assessment of human exposure risk related to contamination of Danish sow carcasses with bile containing Salmonella.
Prev Vet Med
; 217: 105958, 2023 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-37307687
4.
Characterisation of antimicrobial usage in Danish pigs in 2020.
Front Vet Sci
; 10: 1155811, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37180070
5.
Estimating the impact of low temperature on African swine fever virus transmission through contaminated environments.
Prev Vet Med
; 219: 105991, 2023 Oct.
Artigo
em Inglês
| MEDLINE | ID: mdl-37678000
6.
Evaluating the OH-EpiCap tool using the Danish integrated surveillance program for AMU and AMR as a case study.
Front Public Health
; 11: 1127701, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-38054067
7.
Pilot study of the productivity and Salmonella seroprevalence in pigs administered organic acids.
Front Vet Sci
; 10: 1123137, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-36937024
8.
Capturing systematically users' experience of evaluation tools for integrated AMU and AMR surveillance.
Front Vet Sci
; 10: 1107122, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37035822
9.
Users' perception of the OH-EpiCap evaluation tool based on its application to nine national antimicrobial resistance surveillance systems.
Front Public Health
; 11: 1138645, 2023.
Artigo
em Inglês
| MEDLINE | ID: mdl-37404278
10.
Determination of an optimal ELISA cut-off for the diagnosis of Toxoplasma gondii infection in pigs using Bayesian latent class modelling of data from multiple diagnostic tests.
Prev Vet Med
; 201: 105606, 2022 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-35286870
11.
SWOT analysis of risk factors associated with introduction of African Swine Fever through vehicles returning after export of pigs.
Front Vet Sci
; 9: 1049940, 2022.
Artigo
em Inglês
| MEDLINE | ID: mdl-36686159
12.
A European survey on post-mortem inspection of finishing pigs: Total condemnation criteria to declare meat unfit for human consumption.
Res Vet Sci
; 152: 72-82, 2022 Dec 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-35932591
13.
A longitudinal study of Toxoplasma gondii seroconversion on four large Danish sow farms.
Vet Parasitol
; 295: 109460, 2021 Jul.
Artigo
em Inglês
| MEDLINE | ID: mdl-34029851
14.
Assessing the value of bacteriological examination as a diagnostic tool in relation to meat inspection in cattle.
Int J Food Microbiol
; 338: 108997, 2021 Jan 02.
Artigo
em Inglês
| MEDLINE | ID: mdl-33290905
15.
Assessment of Evaluation Tools for Integrated Surveillance of Antimicrobial Use and Resistance Based on Selected Case Studies.
Front Vet Sci
; 8: 620998, 2021.
Artigo
em Inglês
| MEDLINE | ID: mdl-34307513
16.
Herd typologies based on multivariate analysis of biosecurity, productivity, antimicrobial and vaccine use data from Danish sow herds.
Prev Vet Med
; 181: 104487, 2020 Aug.
Artigo
em Inglês
| MEDLINE | ID: mdl-29960650
17.
Evaluating integrated surveillance of antimicrobial resistance: experiences from use of three evaluation tools.
Clin Microbiol Infect
; 26(12): 1606-1611, 2020 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-32213319
18.
Seroprevalence of Toxoplasma gondii infection in sows and finishers from conventional and organic herds in Denmark: Implications for potential future serological surveillance.
Prev Vet Med
; 185: 105149, 2020 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-33127169
19.
Classification of Vertebral Osteomyelitis and Associated Judgment Applied during Post-Mortem Inspection of Swine Carcasses in Portugal.
Foods
; 9(10)2020 Oct 20.
Artigo
em Inglês
| MEDLINE | ID: mdl-33092189
20.
The Use of Antimicrobials in Italian Heavy Pig Fattening Farms.
Antibiotics (Basel)
; 9(12)2020 Dec 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-33322049