The research activity of the DAH|MU - Data Analysis and Modeling Unit - involves the use of computational, mathematical, and statistical approaches to model, simulate, visualize and, in general, understand phenomena in veterinary sciences, ranging from the development of machine learning approaches for the analysis of data of veterinary interest, to the study of classical mathematical and statistical models combined with network science approaches to study epidemiological dynamics.
The DAH|MU intends to move beyond the traditional paradigm of data analysis through innovative multi-disciplinary research. Our goal is to show how data-driven methods and approaches can highlight key agents and dynamics that govern biological phenomena. In particular, the Unit interests and skills include network science, computational and mathematical modeling, and machine learning techniques in biodata mining, in particular evolutionary algorithms.
Among the principal research directions, we can underline: network-based approaches to model vector-borne pathogen dynamics and to study farm animals’ trades and movements; mathematical models of vector population dynamics and of virus spreading in farms; genetic programming approaches dealing with vectorial variables, in particular to study ecological dynamics and precision farming problems.

• Progetti di Ricerca Corrente 2013, Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise: I metodi quantitativi di calcolo e identificazione dei fattori di rischio di diffusione della diarrea virale bovina nel network delle movimentazioni tra aziende bovine
• Bando PRES Euro-Mediterraneo 2013, Università degli Studi di Torino: Il ruolo della movimentazione dei bovini nella diffusione di agenti patogeni
• Progetti di Ricerca Corrente 2019, Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise: Impatto dei movimenti ai pascoli sulla vulnerabilità del settore zootecnico alle infezioni

Modeling the Spread of Vector-Borne Diseases on Bipartite Networks
Donal Bisanzio; Luigi Bertolotti; Laura Tomassone; Giusi Amore; Charlotte Ragagli; Alessandro Mannelli; Mario Giacobini; Paolo Provero
PLOS ONE (2010) 5(11): e13796--
codice ISSN: 1932-6203
DOI: 10.1371/journal.pone.0013796
Scopus ID: 2-s2.0-78649756671

The Role of Climatic and Density Dependent Factors in Shaping Mosquito Population Dynamics: The Case of Culex pipiens in Northwestern Italy
Marini, Giovanni; Poletti, Piero; Giacobini, Mario; Pugliese, Andrea; Merler, Stefano; Rosa, Roberto
PLOS ONE (2016) : 1-15
codice ISSN: 1932-6203
DOI: http://dx.doi.org/10.1371/journal.pone.0154018
Scopus ID: 2-s2.0-84977621424

Non-systemic transmission of tick-borne diseases: a network approach.
Ferreri, Luca; Bajardi, Paolo; Giacobini, Mario
COMMUNICATIONS IN NONLINEAR SCIENCE & NUMERICAL SIMULATION (2016) : 2-16
codice ISSN: 1007-5704
DOI: 10.1016/j.cnsns.2016.02.034

A CAEV epidemiological model for goat breeding
Marta Pittavino;Luca Ferreri;Mario Giacobini;Luigi Bertolotti;Sergio Rosati;Ezio Venturino
APPLIED MATHEMATICS AND COMPUTATION (2014) 227: 156-163
codice ISSN: 0096-3003
DOI: 10.1016/j.amc.2013.11.030
Scopus ID: 2-s2.0-84889248358

Pattern of Tick Aggregation on Mice: Larger Than Expected Distribution Tail Enhances the Spread of Tick-Borne Pathogens
Luca Ferreri; Mario Giacobini; Paolo Bajardi; Luigi Bertolotti; Luca Bolzoni; Valentina Tagliapietra; Annapaola Rizzoli; Roberto Rosa
PLOS COMPUTATIONAL BIOLOGY (2014) 10: 1-12
codice ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1003931
Scopus ID: 2-s2.0-84912080996

Infection Dynamics on Spatial Small-World Network Models
Iotti, Bryan; Alberto, Antonioni; Seth, Bullock; Christian, Darabos; Marco, Tomassini; Giacobini, Mario Dante Lucio
PHYSICAL REVIEW. E (2017) : 1-7
codice ISSN: 2470-0045
DOI: 10.1103/PhysRevE.96.052316
Scopus ID: 2-s2.0-85036660708

Interplay of network dynamics and heterogeneity of ties on spreading dynamics
Luca Ferreri;Paolo Bajardi;Mario Giacobini;Silvia Perazzo;Ezio Venturino
PHYSICAL REVIEW E, STATISTICAL, NONLINEAR, AND SOFT MATTER PHYSICS (2014) 90: 1-9
codice ISSN: 1539-3755
DOI: 10.1103/PhysRevE.90.012812
Scopus ID: 2-s2.0-84905454892

An effective management strategy for the control of two lentiviruses in goat breedings
Venturino, Ezio; Collino, Simona; Ferreri, Luca; Bertolotti, Luigi; Rosati, Sergio; Giacobini, Mario
JOURNAL OF THEORETICAL BIOLOGY (2019) 469: 96-106
codice ISSN: 0022-5193
DOI: 10.1016/j.jtbi.2019.02.018
Scopus ID: 2-s2.0-85062398620

Towards the use of genetic programming in the ecological modelling of mosquito population dynamics
Azzali, Irene; Vanneschi, Leonardo; Mosca, Andrea; Bertolotti, Luigi; Giacobini, Mario
GENETIC PROGRAMMING AND EVOLVABLE MACHINES (2019) : 1-14
codice ISSN: 1389-2576
DOI: 10.1007/s10710-019-09374-0
Scopus ID: 2-s2.0-85077568943

Farm productive contexts and the dynamics of bovine viral diarrhea (BVD) transmission
Iotti B.; Valdano E.; Savini L.; Candeloro L.; Giovannini A.; Rosati S.; Colizza V.; Giacobini M.
PREVENTIVE VETERINARY MEDICINE (2019) 165: 23-33
codice ISSN: 0167-5877
DOI: 10.1016/j.prevetmed.2019.02.001
Scopus ID: 2-s2.0-85061529843

• Dr. Vittoria Colizza - INSERM Parigi, Francia
• Prof. Leonardo Vanneschi - Universidade Nova de Lisboa, Portogallo
• Dr. Krzystof Michalak - University of Economics, Wroclaw, Polonia
• Istituto Zooprofilattico Sperimentale dell'Abruzzo e del Molise "G. Caporale"
• Fondazione Edmund Mach