| Risk factors for campylobacteriosis of chicken, ruminant, and environmental origin: a combined case-control and source attribution analysis L Mughini Gras, JH Smid, JA Wagenaar, AG de Boer, AH Havelaar, ... Public Library of Science 7 (8), e42599, 2012 | 269 | 2012 |
| Molecular relatedness of ESBL/AmpC-producing Escherichia coli from humans, animals, food and the environment: a pooled analysis A Dorado-García, JH Smid, W Van Pelt, MJM Bonten, AC Fluit, ... Journal of Antimicrobial Chemotherapy 73 (2), 339-347, 2018 | 199 | 2018 |
| Increased risk for Campylobacter jejuni and C. coli infection of pet origin in dog owners and evidence for genetic association between strains causing infection in … LM Gras, JH Smid, JA Wagenaar, MGJ Koene, AH Havelaar, ... Epidemiology & Infection 141 (12), 2526-2535, 2013 | 139 | 2013 |
| Strengths and weaknesses of Monte Carlo simulation models and Bayesian belief networks in microbial risk assessment JH Smid, D Verloo, GC Barker, AH Havelaar International Journal of Food Microbiology 139, S57-S63, 2010 | 105 | 2010 |
| A quantitative approach towards a better understanding of the dynamics of Salmonella spp. in a pork slaughter-line AHAM Van Hoek, R De Jonge, WM Van Overbeek, E Bouw, A Pielaat, ... International journal of food microbiology 153 (1-2), 45-52, 2012 | 98 | 2012 |
| Comparative Exposure Assessment of ESBL-Producing Escherichia coli through Meat Consumption EG Evers, A Pielaat, JH Smid, E van Duijkeren, FBC Vennemann, ... PloS one 12 (1), e0169589, 2017 | 75 | 2017 |
| Attribution of human Salmonella infections to animal and food sources in Italy (2002–2010): adaptations of the Dutch and modified Hald source attribution models L Mughini-Gras, F Barrucci, JH Smid, C Graziani, I Luzzi, A Ricci, L Barco, ... Epidemiology & Infection 142 (5), 1070-1082, 2014 | 51 | 2014 |
| Practicalities of using non-local or non-recent multilocus sequence typing data for source attribution in space and time of human campylobacteriosis JH Smid, L Mughini Gras, AG de Boer, NP French, AH Havelaar, ... PLoS One 8 (2), e55029, 2013 | 48 | 2013 |
| Campylobacteriosis in returning travellers and potential secondary transmission of exotic strains L Mughini-Gras, JH Smid, JA Wagenaar, A De Boer, AH Havelaar, ... Epidemiology & Infection 142 (6), 1277-1288, 2014 | 47 | 2014 |
| Tracing the sources of human salmonellosis: a multi-model comparison of phenotyping and genotyping methods L Mughini-Gras, J Smid, R Enserink, E Franz, L Schouls, M Heck, ... Infection, Genetics and Evolution 28, 251-260, 2014 | 39 | 2014 |
| A biotracing model of Salmonella in the pork production chain JH Smid, L Heres, AH Havelaar, A Pielaat Journal of food protection 75 (2), 270-281, 2012 | 37 | 2012 |
| Mismatch amplification mutation assay-based real-time PCR for rapid detection of Neisseria gonorrhoeae and antimicrobial resistance determinants in clinical specimens V Donà, JH Smid, S Kasraian, D Egli-Gany, F Dost, F Imeri, M Unemo, ... Journal of clinical microbiology 56 (9), 10.1128/jcm. 00365-18, 2018 | 34 | 2018 |
| An introduction to biotracing in food chain systems GC Barker, N Gomez, J Smid Trends in food science & technology 20 (5), 220-226, 2009 | 33 | 2009 |
| Graphical models and Bayesian domains in risk modelling: application in microbiological risk assessment M Greiner, J Smid, AH Havelaar, C Müller-Graf Preventive veterinary medicine 110 (1), 4-11, 2013 | 29 | 2013 |
| A Practical Framework for the Construction of a Biotracing Model: Application to Salmonella in the Pork Slaughter Chain JH Smid, AN Swart, AH Havelaar, A Pielaat Risk Analysis: An International Journal 31 (9), 1434-1450, 2011 | 23 | 2011 |
| Quantifying the sources of Salmonella on dressed carcasses of pigs based on serovar distribution JH Smid, A Van Hoek, HJM Aarts, AH Havelaar, L Heres, R De Jonge, ... Meat science 96 (4), 1425-1431, 2014 | 16 | 2014 |
| Variability and Uncertainty Analysis of the Cross‐Contamination Ratios of Salmonella During Pork Cutting J Smid, R de Jonge, AH Havelaar, A Pielaat Risk analysis 33 (6), 1100-1115, 2013 | 16 | 2013 |
| Rise and fall of the new variant of Chlamydia trachomatis in Sweden: mathematical modelling study JH Smid, CL Althaus, N Low, M Unemo, B Herrmann Sexually transmitted infections 96 (5), 375-379, 2020 | 10 | 2020 |
| Discrepancies between observed data and predictions from mathematical modelling of the impact of screening interventions on Chlamydia trachomatis prevalence J Smid, CL Althaus, N Low Scientific reports 9 (1), 7547, 2019 | 10 | 2019 |
| Age difference between heterosexual partners in Britain: Implications for the spread of Chlamydia trachomatis JH Smid, V Garcia, N Low, CH Mercer, CL Althaus Epidemics 24, 60-66, 2018 | 6 | 2018 |
