Department: Pathobiology and Population Sciences
Research Centres: Veterinary Epidemiology, Economics and Public Health
Matteo obtained a degree in Animal Production at the Veterinary faculty of the University of Milan in 2012 and the postgraduate certificate in Risk Analysis in Health and Food Safety at the Royal Veterinary College in 2014. After completing the PhD in 2015 with a project presenting the use of probabilistic models as a tool for the animal-derived food safety management, he joined the Royal Veterinary College and the Veterinary Epidemiology, Economics and Public Health group as postdoctoral researcher where he also become Associate Fellow of the Higher Education Academy.
His professional activity mainly aims at using innovative qualitative and quantitative risk modelling to provide evidence in support of food-safety decision-making under uncertainty, mostly focusing on risks arising from consumption of animal-derived food.
At the RVC, Matteo leads the risk assessment and system dynamics components of food-safety oriented research projects within the UK, India and South America.
Since 2018 Matteo is involved in the delivery of either online and traditional courses on Risk Analysis, these have took place in China, Jordan, India and Italy where in 2019 he was appointed as visiting professor in risk analysis for the University of Milan (Italy).
As risk analyst, he is also member of working groups at the European Food Safety Authority (EFSA) and the Food and Agriculture Organization (FAO).
M.Crotta, A.Lavazza, A.Mateus, J.Guitian. “Viraemic pigs entering the food chain are the most likely source of hepatitis E virus (HEV) in pork meat: Modelling the fate of HEV during slaughtering of pigs” Food Control, 121, 107662.
E. Chinchio, M. Crotta, C. Romeo, JA. Drewe, J. Guitian, N. Ferrari. “Invasive alien species and disease risk: an open challenge in public and animal health” PLoS Pathogens, 16(10), e1008922.
EFSA Panel on Biological Hazards (BIOHAZ), K. Koutsoumanis, A. Allende, A. Alvarez-Ordóñez, D. Bolton, S. Bover-Cid, R. Davies, A. De Cesare, L. Herman, F. Hilbert, R. Lindqvist, M. Nauta, L. Peixe, G. Ru, M. Simmons, P. Skandamis, E. Suffredini, T. Alter, M. Crotta, J. Ellis-Iversen, M. Hempen, W. Messens, M. Chemaly (2020). Update and review of control options for Campylobacter in broilers at primary production. Efsa Journal, 18(4), e06090
M. I. Neves, I. Malkawi, M. Walker, E Abu-Basha, A. Alaboudi, D. P. Blake, J. Guitian, M. Crotta, (2018). “The transmission dynamics of Campylobacter jejuni among broilers in semi-commercial farms in Jordan", Epidemiology and Infection 147-(1-7)
Crotta, M., Lavazza, A., Mateus, A., & Guitian, J. (2018). Quantitative risk assessment of hepatitis E virus: Modelling the occurrence of viraemic pigs and the presence of the virus in organs of food safety interest. Microbial Risk Analysis. 9, 64-71
Prakashbabu, B. C., Marshall, L. R., Crotta, M., Gilbert, W., Johnson, J. C., Alban, L., & Guitian, J. (2018). Risk-based inspection as a cost-effective strategy to reduce human exposure to cysticerci of Taenia saginata in low-prevalence settings. Parasites & vectors, 11(1), 257.
Gilbert, T., Doolan, NTF, M., Beka, S., Spencer, N., Crotta, M., & Davari, S. (2018). Compassion on university degree programmes at a UK university: The neuroscience of effective group work. Journal of Research in Innovative Teaching & Learning. 11(1), 4-21
Hill, A. A., Crotta, M., Wall, B., Good, L., O'Brien, S. J., & Guitian, J. (2017). Towards an integrated food safety surveillance system: a simulation study to explore the potential of combining genomic and epidemiological metadata. Royal Society Open Science, 4(3), 160721.
Crotta, M., Limon, G., Blake, D. P., & Guitian, J. (2017). Knowledge gaps in host-parasite interaction preclude accurate assessment of meat-borne exposure to Toxoplasma gondii. International journal of food microbiology, 261, 95-101.
Gandini, G., Turri, F., Rizzi, R., Crotta, M., Minozzi, G., & Pizzi, F. (2017). Economic evaluation of genetic improvement in local breeds: the case of the Verzaschese goat. Italian Journal of Animal Science, 1-12.
Crotta, M., Georgiev, M., & Guitian, J. (2017). Quantitative risk assessment of Campylobacter in broiler chickens–Assessing interventions to reduce the level of contamination at the end of the rearing period. Food Control, 75, 29-39.
Crotta, M., Ferrari, N., & Guitian, J. (2016). Qualitative risk assessment of introduction of anisakid larvae in Atlantic salmon (Salmo salar) farms and commercialization of products infected with viable nematodes. Food Control, 69, 275-284.
Crotta, M., Rizzi, R., Varisco, G., Daminelli, P., Cunico, E. C., Luini, M., ... & Guitian, J. (2016). Multiple-Strain Approach and Probabilistic Modeling of Consumer Habits in Quantitative Microbial Risk Assessment: A Quantitative Assessment of Exposure to Staphylococcal Enterotoxin A in Raw Milk. Journal of Food Protection®, 79(3), 432-441.
Crotta, M., Paterlini, F., Rizzi, R., & Guitian, J. (2016). Consumers’ behavior in quantitative microbial risk assessment for pathogens in raw milk: Incorporation of the likelihood of consumption as a function of storage time and temperature. Journal of dairy science, 99(2), 1029-1038.
In this project we study the safety of chicken meat and beef, how poor people access these meats and how can their safety be improved to increase people's nutrition and health in Peru.
This project includes extensive analysis of the large body of Johne's disease (JD) data accumulated by the two main milk recording companies through repeated testing of a large number of UK dairy cows, and a longitudinal study of dairy heifers followed up since birth along their entire lives.
Modelling exposure to biological hazards in the dairy chains of Andhra Pradesh to inform food safety policy
The dairy industry in Andhra Pradesh is intensifying and its output increasing to satisfy the growing demand for milk and dairy products, but this expansion has taken place without food safety challenges being fully addressed. This project combines microbiological surveys of milk and dairy products, probabilistic modelling of the likely impact of control strategies and strong stakeholder engagement including participatory model building to explore the broad implications of milk hygiene policies and identify gender based constraints.