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1. Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data

Author

Langer, Thomas, Favarato, Martina, Giudici, Riccardo, Bassi, Gabriele, Garberi, Roberta, Villa, Fabiana, Gay, Hedwige, Zeduri, Anna, Bragagnolo, Sara, Molteni, Alberto, Beretta, Andrea, Corradin, Matteo, Moreno, Mauro, Vismara, Chiara, Perno, Carlo Federico, Buscema, Massimo, Grossi, Enzo, and Fumagalli, Roberto

Published
2020
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2. A territory-wide opportunistic, hospital-based HCV screening in the general population from northern Italy: the 1969–1989 birth-cohort

Author

D’Ambrosio, Roberta, primary, Piccinelli, Sara, additional, Beccalli, Benedetta, additional, Spinetti, Angiola, additional, Puoti, Massimo, additional, Fagiuoli, Stefano, additional, Magni, Carlo Federico, additional, Castaldi, Silvana, additional, Bombardieri, Giulia, additional, Farina, Claudio, additional, Buoro, Sabrina, additional, Amorosi, Alessandro, additional, Cereda, Danilo, additional, Corradin, Matteo, additional, and Lampertico, Pietro, additional

Published
2023
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3. A territory‐wide opportunistic, hospital‐based HCV screening in the general population from northern Italy: The 1969–1989 birth‐cohort.

Author

D'Ambrosio, Roberta, Piccinelli, Sara, Beccalli, Benedetta, Spinetti, Angiola, Puoti, Massimo, Fagiuoli, Stefano, Magni, Carlo Federico, Vavassori, Andrea, Sacchi, Paolo, Castaldi, Silvana, Bombardieri, Giulia, Farina, Claudio, Buoro, Sabrina, Amorosi, Alessandro, Corradin, Matteo, Cereda, Danilo, Lampertico, Pietro, Aghemo, Alessio Michele, Agnoletti, Laura, and Aiello, Paola

Subjects
HEPATITIS C virus, HEALTH facilities, BLOOD collection, COHORT analysis
Abstract

Background and Aim: The World Health Organization (WHO) goal of Hepatitis C Virus (HCV) elimination by 2030 rose awareness about the need of screening plans, worldwide. In Italy, graduated screening starting from people born in 1969–1989 might be the most‐effective strategy. We performed an opportunistic HCV screening study in the general population attending health facilities in Lombardy region, Northern Italy. Methods: This is a prospective, multicenter, territory‐wide, opportunistic study supported by the Regional Government of Lombardy, Italy. Between June 2022 and December 2022, all subjects born in 1969–1989, hospitalized or accessing blood collection centres were offered anti‐HCV and HCV–RNA tests. Patients with known anti‐HCV positivity and/or previous anti‐HCV treatment were excluded. Demographic features were uploaded into a regional web‐based platform. Results: In total, 120 193 individuals were screened in 75 centres. Mean age was 44 (±6) years, 65.2% were females, 83.7% were tested at blood collection centres. Anti‐HCV tested positive in 604 (0.50%) subjects: mean age 47 (±5), 51.1% females. HCV seroprevalence was higher in males (p < 0.00001), elderly (p < 0.00001) and in‐ vs. outpatients (p = 0.0009). HCV–RNA was detectable in 125 out of 441 (28.3%) anti‐HCV positive subjects. Actively infected patients were 46 (±6) years old, mainly males (56.8%). The overall prevalence of active HCV infection was 0.10%, higher in elderly (p = 0.0003) and in in‐patients (p = 0.0007). Among 93 HCV–RNA positive patients, the median age was 48 years, 58% males, 62% Italian born, median HCV–RNA levels were 6,1 log IU/mL, liver stiffness measurement (LSM) values 5.5 (3.1–29.9) kPa and ALT levels 48 U/L. Conclusions: The prevalence of active HCV infection in the 1969–1989 population attending health facilities in Lombardy was low. Most viremic patients were Italian‐born, with mild liver disease but high‐HCV–RNA levels. Due to the higher prevalence in the elderly, the extension of such opportunistic screening programs to lower birth cohorts would be warranted. [ABSTRACT FROM AUTHOR]

Published
2023
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4. Risultati qualitativi e quantitativi del programma di Valutazione Esterna di Qualità VEQ SARS-CoV-2 RNA condotto in Regione Lombardia nel 2021.

Author

Pellegrinelli, Laura, Pasotti, Fabio, Liga, Giuseppa, Galli, Cristina, Rizzetto, Manuela, Molin, Simona Da, Azzarrà, Giovanna, Lungu, Oana Livia, Greco, Silvia, Binda, Sandro, Cereda, Danilo, Corradin, Matteo, Pariani, Elena, and Buoro, Sabrina

Abstract

Introduction: to evaluate the qualitative test performance and inter-assay variations of SARS-CoV-2 nucleic acid detection tests by analysing the results of the External Quality Assessment (EQA) programme carried out in Lombardy in 2021. Methods: the 2021 EQA for SARS-CoV-2 molecular test programme consisted on testing of 12 exercise (12 samples of cells culture supernatants): 5 were SARS-CoV-2-negative and 7 SARS-CoV-2-positive samples [3 had viral load (VL) >5x10³ copies/mL, 4 VL=1-5x10³ copies/mL]. Participating laboratories provided qualitative (positive/negative) and quantitative (Cycle threshold, Ct value) results for each molecular test in use. Qualitative test performance was evaluated by positive/negative percent agreement (PPA/NPA); inter-assay variation of quantitative results was evaluated by coefficient of variation (CV). Results: 79 to 90 laboratories participated by using 199 to 231 systems, returning 2 623 qualitative/quantitative results. PPA ranged between 99.5% and 100%, NPA between 69.9% and 100%. NPA range was 99.1-100% by ruling out the "invalid" results (n=89). CV ranged between 11.6% and 13.5% (samples with VL=1-5x10³ copies/mL) and between 10.8% and 14.2% (samples with high VL). The two most used systems gave the following results. System A (275 results) and B (245 results): CV by viral target ranged between 2.4-3.8% and 6.4-9% (samples with VL=1-5x10³copies/mL) and between 2.8-4.2% and 7.3-11.9% (samples with high VL) respectively. Discussion: within 2021 EQA for SARS-CoV-2 molecular test, PPA and NPA were above 99.1%. However, the inter-assay variability among systems was notable and related both to viral load and to viral target detected by the test. This variability, thought limited, needs to be carefully evaluated and continuously monitored within quality assurance programs. [ABSTRACT FROM AUTHOR]

Published
2023
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5. First Results of an External Quality Assessment (EQA) Scheme for Molecular, Serological and Antigenic Diagnostic Test for SARS-CoV-2 Detection in Lombardy Region (Northern Italy), 2020–2022

Author

Pasotti, Fabio, primary, Pellegrinelli, Laura, additional, Liga, Giuseppa, additional, Rizzetto, Manuela, additional, Azzarà, Giovanna, additional, Da Molin, Simona, additional, Lungu, Oana Livia, additional, Greco, Silvia, additional, Galli, Cristina, additional, Bubba, Laura, additional, Pariani, Elena, additional, Corradin, Matteo, additional, Cereda, Danilo, additional, and Buoro, Sabrina, additional

Published
2022
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6. Results of the RENAISSANCE Study: REsponse to BNT162b2 COVID-19 vacciNe—short- And long-term Immune reSponSe evAluatioN in health Care workErs

Author

Pani, Arianna, primary, Cento, Valeria, additional, Vismara, Chiara, additional, Campisi, Daniela, additional, Di Ruscio, Federica, additional, Romandini, Alessandra, additional, Senatore, Michele, additional, Schenardi, Paolo Andrea, additional, Gagliardi, Oscar Matteo, additional, Giroldi, Simona, additional, Zoppini, Laura, additional, Moreno, Mauro, additional, Corradin, Matteo, additional, Epis, Oscar Massimiliano, additional, Ughi, Nicola, additional, Cuppari, Irene, additional, Crocchiolo, Roberto, additional, Merli, Marco, additional, Bosio, Marco, additional, Rossini, Silvano, additional, Puoti, Massimo, additional, and Scaglione, Francesco, additional

Published
2021
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7. Antibody response to BNT162b vaccine is almost universal in health care workers. Results from the RENAISSANCE study: REsponse to BNT162b2 COVID-19 vacciNe - short And long term Immune reSponSe evAluatioN in healthCare workErs

Author

Pani, Arianna, Cento, Valeria, Vismara, Chiara, Campisi, Daniela, Di Ruscio, Federica, Romandini, Alessandra, Senatore, Michele, Schenardi, Paolo Andrea, Gagliardi, Oscar Matteo, Giroldi, Simona, Zoppini, Laura, Moreno, Mauro, Corradin, Matteo, Epis, Oscar Massimiliano, Ughi, Nicola, Cuppari, Irene, Crocchiolo, Roberto, Merli, Marco, Bosio, Marco, Rossini, Silvano, Puoti, Massimo, and Scaglione, Francesco

Subjects
CI, confidence interval, RT-PCR, reverse transcription polymerase chain reaction, VOC, variant of concern, BMI, body mass index, BAU, binding arbitrary units, MPA, mycophenolic acid, MPPDH, inosine-5’-monophosphate dehydrogenase, Original Article, MMF, mycophenolate mofetil, IQR, interquartile range
Abstract

Objective To evaluate the SARS-CoV-2 anti-spike IgG antibodies production after the vaccination with BNT162b2 and the protection from symptomatic breakthrough infections in healthcare workers. Patients and methods This prospective observational study (RENAISSANCE) had as primary endpoint the evaluation of serologic response to BNT162b2 14-days after second dose. SARS-CoV-2 anti-spike IgG antibodies were evaluated with LIAISON® SARS-CoV-2 TrimericS IgG assay, able to detect presence of both binding and neutralizing antibodies for trimeric Spike glycoprotein. Subjects were recruited from February 1, 2021 to February 22, 2021. Occurrence of vaccine-breakthrough infections was assessed by RT-PCR on symptomatic/contact cases, up to June 6, 2021. Results Out of 2569 staff only were 4 non-responders (0.16%, 95%CI:0.04%-0.41%). All 4 non-responders were severely immunosuppressed and on treatment with mycophenolate mofetil/mycophenolic acid. At 14-days since 2° dose, the 67.5% of staff had anti-S IgG titers ≥2000 BAU/mL, 19.2% between 1500- 2000 BAU/ml, 9.8% between 1000-1500 BAU/ml, and 3.4% ≤1000 BAU/ml. Females had a higher probability of having higher titers than males (64.5% [1044/1618] vs. 58.3% [410/703]; p=0.005). This was confirmed after adjusting for age group (OR [95%CI]: 1.275 [1.062-1.531]; p=0.009). Four months after the end of vaccination program, only 13 subjects (0.26%) had experienced a breakthrough SARS-CoV-2 infection, including 1 non-responder. This subject was the only requiring hospitalization for severe COVID-19. Conclusion Vaccination campaign among healthcare workers at the ASST GOM Niguarda has resulted in a significative serologic response, and reduction of incident COVID-19 cases. Yet, the lack of protection should not be overlooked in immunocompromised subjects.

Published
2021

8. Algorithm for Individual Prediction of COVID-19–Related Hospitalization Based on Symptoms: Development and Implementation Study

Author

Murtas, Rossella, primary, Morici, Nuccia, additional, Cogliati, Chiara, additional, Puoti, Massimo, additional, Omazzi, Barbara, additional, Bergamaschi, Walter, additional, Voza, Antonio, additional, Rovere Querini, Patrizia, additional, Stefanini, Giulio, additional, Manfredi, Maria Grazia, additional, Zocchi, Maria Teresa, additional, Mangiagalli, Andrea, additional, Brambilla, Carla Vittoria, additional, Bosio, Marco, additional, Corradin, Matteo, additional, Cortellaro, Francesca, additional, Trivelli, Marco, additional, Savonitto, Stefano, additional, and Russo, Antonio Giampiero, additional

Published
2021
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9. Cost-effectiveness of the adherence with recommendations for clinical monitoring of patients with diabetes

Author

Corrao, Giovanni, primary, Rea, Federico, additional, Mancia, Giuseppe, additional, Perseghin, Gianluca, additional, Merlino, Luca, additional, Martini, Nello, additional, Carbone, Simona, additional, Carle, Flavia, additional, Bucci, Andrea, additional, Dajko, Marianxhela, additional, Arcà, Silvia, additional, Bellentani, Donata, additional, Bruno, Velia, additional, Ceccolini, Carla, additional, De Feo, Angela, additional, Lispi, Lucia, additional, Mariniello, Rosanna, additional, Masullo, Maurizio, additional, Medici, Federica, additional, Pisanti, Paola, additional, Visca, Modesta, additional, Zanini, Rinaldo, additional, Di Fiandra, Teresa, additional, Magliocchetti, Natalia, additional, Romano, Giovanna, additional, Cantarutti, Anna, additional, Corrao, Giovanni, additional, Pugni, Pietro, additional, Davoli, Marina, additional, Di Martino, Mirko, additional, Lallo, Adele, additional, Vittori, Patrizia, additional, Vuillermin, Giuliana, additional, Bernardo, Alfonso, additional, Fusciante, Anna, additional, Belotti, Laura, additional, De Palma, Rossana, additional, Di Felice, Enza, additional, Chiandetti, Roberta, additional, Clagnan, Elena, additional, Del Zotto, Stefania, additional, Di Lenarda, Andrea, additional, Mariotto, Aldo, additional, Prezza, Marisa, additional, Zanier, Loris, additional, Fusco, Danilo, additional, Marinacci, Chiara, additional, Lora, Antonio, additional, Spazzafumo, Liana, additional, Pizzi, Simone, additional, Simiele, Maria, additional, Massaro, Giuseppe, additional, Attolini, Ettore, additional, Lepore, Vito, additional, Petrarolo, Vito, additional, De Luca, Giovanni, additional, Fantaci, Giovanna, additional, Pollina Addario, Sebastiano, additional, Scondotto, Salvatore, additional, Bellomo, Francesco, additional, Braga, Mario, additional, Di Fabrizio, Valeria, additional, Forni, Silvia, additional, Francesconi, Paolo, additional, Profili, Francesco, additional, Avossa, Francesco, additional, Corradin, Matteo, additional, Vigna, Silvia, additional, Dondi, Letizia, additional, Pedrini, Antonella, additional, Piccinni, Carlo, additional, Cosentino, Mimma, additional, Marvulli, Maria Grazia, additional, and Maggioni, Aldo, additional

Published
2021
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13. Algorithm for Individual Prediction of COVID-19–Related Hospitalization Based on Symptoms: Development and Implementation Study (Preprint)

Author

Murtas, Rossella, primary, Morici, Nuccia, additional, Cogliati, Chiara, additional, Puoti, Massimo, additional, Omazzi, Barbara, additional, Bergamaschi, Walter, additional, Voza, Antonio, additional, Rovere Querini, Patrizia, additional, Stefanini, Giulio, additional, Manfredi, Maria Grazia, additional, Zocchi, Maria Teresa, additional, Mangiagalli, Andrea, additional, Brambilla, Carla Vittoria, additional, Bosio, Marco, additional, Corradin, Matteo, additional, Cortellaro, Francesca, additional, Trivelli, Marco, additional, Savonitto, Stefano, additional, and Russo, Antonio Giampiero, additional

Published
2021
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14. Additional file 1 of Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data

Author

Langer, Thomas, Favarato, Martina, Giudici, Riccardo, Bassi, Gabriele, Garberi, Roberta, Villa, Fabiana, Gay, Hedwige, Zeduri, Anna, Bragagnolo, Sara, Molteni, Alberto, Beretta, Andrea, Corradin, Matteo, Moreno, Mauro, Vismara, Chiara, Perno, Carlo Federico, Buscema, Massimo, Grossi, Enzo, and Fumagalli, Roberto

Abstract

Additional file 1. Additional materials, methods and results.

Published
2020
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16. Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data

Author

Langer, T, Favarato, M, Giudici, R, Bassi, G, Garberi, R, Villa, F, Gay, H, Zeduri, A, Bragagnolo, S, Molteni, A, Beretta, A, Corradin, M, Moreno, M, Vismara, C, Perno, C, Buscema, M, Grossi, E, Fumagalli, R, Langer, Thomas, Favarato, Martina, Giudici, Riccardo, Bassi, Gabriele, Garberi, Roberta, Villa, Fabiana, Gay, Hedwige, Zeduri, Anna, Bragagnolo, Sara, Molteni, Alberto, Beretta, Andrea, Corradin, Matteo, Moreno, Mauro, Vismara, Chiara, Perno, Carlo Federico, Buscema, Massimo, Grossi, Enzo, Fumagalli, Roberto, Langer, T, Favarato, M, Giudici, R, Bassi, G, Garberi, R, Villa, F, Gay, H, Zeduri, A, Bragagnolo, S, Molteni, A, Beretta, A, Corradin, M, Moreno, M, Vismara, C, Perno, C, Buscema, M, Grossi, E, Fumagalli, R, Langer, Thomas, Favarato, Martina, Giudici, Riccardo, Bassi, Gabriele, Garberi, Roberta, Villa, Fabiana, Gay, Hedwige, Zeduri, Anna, Bragagnolo, Sara, Molteni, Alberto, Beretta, Andrea, Corradin, Matteo, Moreno, Mauro, Vismara, Chiara, Perno, Carlo Federico, Buscema, Massimo, Grossi, Enzo, and Fumagalli, Roberto

Abstract

Background: Reverse Transcription-Polymerase Chain Reaction (RT-PCR) for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) diagnosis currently requires quite a long time span. A quicker and more efficient diagnostic tool in emergency departments could improve management during this global crisis. Our main goal was assessing the accuracy of artificial intelligence in predicting the results of RT-PCR for SARS-COV-2, using basic information at hand in all emergency departments. Methods: This is a retrospective study carried out between February 22, 2020 and March 16, 2020 in one of the main hospitals in Milan, Italy. We screened for eligibility all patients admitted with influenza-like symptoms tested for SARS-COV-2. Patients under 12 years old and patients in whom the leukocyte formula was not performed in the ED were excluded. Input data through artificial intelligence were made up of a combination of clinical, radiological and routine laboratory data upon hospital admission. Different Machine Learning algorithms available on WEKA data mining software and on Semeion Research Centre depository were trained using both the Training and Testing and the K-fold cross-validation protocol. Results: Among 199 patients subject to study (median [interquartile range] age 65 [46–78] years; 127 [63.8%] men), 124 [62.3%] resulted positive to SARS-COV-2. The best Machine Learning System reached an accuracy of 91.4% with 94.1% sensitivity and 88.7% specificity. Conclusion: Our study suggests that properly trained artificial intelligence algorithms may be able to predict correct results in RT-PCR for SARS-COV-2, using basic clinical data. If confirmed, on a larger-scale study, this approach could have important clinical and organizational implications.

Published
2020

17. Safety and efficacy of anti-il6-receptor tocilizumab use in severe and critical patients affected by coronavirus disease 2019: A comparative analysis

Author

Rossotti, Roberto, primary, Travi, Giovanna, additional, Ughi, Nicola, additional, Corradin, Matteo, additional, Baiguera, Chiara, additional, Fumagalli, Roberto, additional, Bottiroli, Maurizio, additional, Mondino, Michele, additional, Merli, Marco, additional, Bellone, Andrea, additional, Basile, Andriano, additional, Ruggeri, Ruggero, additional, Colombo, Fabrizio, additional, Moreno, Mauro, additional, Pastori, Stefano, additional, Perno, Carlo Federico, additional, Tarsia, Paolo, additional, Epis, Oscar Massimiliano, additional, and Puoti, Massimo, additional

Published
2020
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18. Development of Machine Learning models to predict RT-PCR results for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data.

Author

Langer, Thomas, primary, Favarato, Martina, additional, Giudici, Riccardo, additional, Bassi, Gabriele, additional, Garberi, Roberta, additional, Villa, Fabiana, additional, Gay, Hedwige, additional, Zeduri, Anna, additional, Bragagnolo, Sara, additional, Molteni, Alberto, additional, Beretta, Andrea, additional, Corradin, Matteo, additional, Moreno, Mauro, additional, Vismara, Chiara, additional, Perno, Carlo Federico, additional, Buscema, Massimo, additional, Grossi, Enzo, additional, and Fumagalli, Roberto, additional

Published
2020
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19. Use of Machine Learning to Rapidly Predict Positivity to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) Using Basic Clinical Data

Author

Langer, Thomas, primary, Favarato, Martina, additional, Giudici, Riccardo, additional, Bassi, Gabriele, additional, Garberi, Roberta, additional, Villa, Fabiana, additional, Gay, Hedwige, additional, Zeduri, Anna, additional, Bragagnolo, Sara, additional, Molteni, Alberto, additional, Beretta, Andrea, additional, Corradin, Matteo, additional, Moreno, Mauro, additional, Vismara, Chiara, additional, Perno, Carlo Federico, additional, Buscema, Massimo, additional, Grossi, Enzo, additional, and Fumagalli, Roberto, additional

Published
2020
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20. Neurological Manifestations in Patients Hospitalized with COVID-19: A Retrospective Analysis from a Large Cohort in Northern Italy

Author

Travi, Giovanna, primary, Rossotti, Roberto, additional, Merli, Marco, additional, D'Amico, Federico, additional, Chiappetta, Stefania, additional, Panariello, Adelaide, additional, Corradin, Matteo, additional, Vecchi, Marta, additional, Raimondi, Alessandro, additional, Baiguera, Chiara, additional, Nocita, Benedetta, additional, Epis, Oscar Massimiliano, additional, Tarsia, Paolo, additional, Galbiati, Filippo, additional, Colombo, Fabrizio, additional, fumagalli, Roberto, additional, Scaglione, Francesco, additional, Moreno, Mauro, additional, Percudani, Mauro Emilio, additional, Agostoni, Elio Clemente, additional, and Puoti, Massimo, additional

Published
2020
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21. Neurological manifestations in patients hospitalized with COVID‐19: A retrospective analysis from a large cohort in Northern Italy.

Author

Travi, Giovanna, Rossotti, Roberto, Merli, Marco, D'Amico, Federico, Chiappetta, Stefania, Giussani, Giuditta, Panariello, Adelaide, Corradin, Matteo, Vecchi, Marta, Raimondi, Alessandro, Baiguera, Chiara, Nocita, Benedetta, Epis, Oscar Massimiliano, Tarsia, Paolo, Galbiati, Filippo, Colombo, Fabrizio, Fumagalli, Roberto, Scaglione, Francesco, Moreno, Mauro, and Percudani, Mauro Emilio

Subjects
COVID-19, NEUROLOGIC manifestations of general diseases, SYMPTOMS, STROKE, NEUROLOGICAL disorders, CENTRAL nervous system
Abstract

SARS‐CoV2 infection is a systemic disease that may involve multiple organs, including the central nervous system (CNS). Aims of our study are to describe prevalence and clinical features of neurological manifestations, mortality and hospital discharge in subjects hospitalized with COVID‐19. All individuals admitted for to our hospital COVID‐19 were retrospectively included. Patients were classified according to the symptoms at hospital entry in (1) isolated respiratory, (2) combined respiratory and neurologic, (3) isolated neurologic and (4) stroke manifestations. Descriptive statistics and nonparametric tests to compare the groups were calculated. Kaplan Meier probability curves and multivariable Cox regression models for survival and hospital discharge were applied. The analysis included 901 patients: 42.6% showed a severe or critical disease with an overall mortality of 21.2%. At least one neurological symptom or disease was observed in 30.2% of subjects ranging from dysgeusia/anosmia (9.1%) to postinfective diseases (0.8%). Patients with respiratory symptoms experienced a more severe disease and a higher in‐hospital mortality compared to those who showed only neurologic symptoms. Kaplan Meier estimates displayed a statistically significant different survival among groups (p = 0.003): subjects with stroke had the worst. After adjusting for risk factors such as age, sex and comorbidity, individuals with isolated neurologic manifestations exhibited a better survival (aHR 0.398, 95% CI [0.206, 0.769], p = 0.006). Neurologic manifestations in COVID‐19 are common but heterogeneous and mortality in subjects with isolated neurologic manifestations seems lower than in those with respiratory symptoms. [ABSTRACT FROM AUTHOR]

Published
2021
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22. La gestione del paziente con disturbi correlati all'uso di sostanze in regime di ricovero ospedaliero: il documento di indirizzo della Regione Veneto

Author

Corradin, Matteo, primary, Cibin, Mauro, additional, Favaretto, Gerardo, additional, Forti, Bruno, additional, Prevaldi, Carolina, additional, Rossetto, Lorenzo, additional, Saccon, Diego, additional, Maniscalco, Tommaso, additional, Bortolan, Francesco, additional, Pilerci, Claudio, additional, and Mantoan, Domenico, additional

Published
2018
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27. Analisi, progettazione e sviluppo di un software mobile per il turismo

Author

Corradin, Matteo, thesis supervisor: Ravaioli, Mirko, Corradin, Matteo, and thesis supervisor: Ravaioli, Mirko

Abstract

Analisi, progettazione e sviluppo di un’applicazione che fornisca agli utenti la possibilità di consultare le informazioni riguardanti i punti d’interesse della città fornendo un’esperienza di tour guidato.

28. MecWilly 3D: supporto all’orientamento topografico nei bambini in età scolare attraverso un serious game per la raccolta differenziata

Author

Corradin, Matteo, thesis supervisor: Mirri, Silvia, Corradin, Matteo, and thesis supervisor: Mirri, Silvia

Abstract

I robot e gli applicativi per smartphone e tablet assumono un ruolo sempre più attivo a supporto dello sviluppo e potenziamento delle abilità nei bambini. A partire dagli ultimi anni della scuola dell'infanzia (4-5 anni) una delle abilità più importanti che affrontano i bambini è l'orientamento topografico, con particolare riferimento alla relatività delle posizioni (destra e sinistra) degli oggetti rispetto ad un determinato punto. L'utilizzo delle ICT e della robotica, associate al conflitto socio-cognitivo offrono molteplici soluzioni per supportare al meglio l'acquisizione e il potenziamento di tali abilità di orientamento spaziale a partire già dai 5 anni. In questo contesto entra in gioco MecWilly, il quale funge da mezzo scatenante di questo processo. MecWilly è un robot umanoide alto 1 metro e 20 cm, realizzato con materiali economici e di recupero, grazie alla collaborazione con il Dipartimento di Psicologia dell'Università di Bologna e il Comune di Rimini. Il robot MecWilly viene utilizzato per studiare il conflitto socio-cognitivo nei bambini in età pre-scolare e scolare. L'obiettivo di questa tesi è realizzare una applicazione 3D che ha la finalità di sviluppare e migliorare le abilità nell'orientamento topografico (mappe) e nell'orientamento spaziale (contesto) dei bambini della scuola primaria. L’applicazione 3D, che riproduce fedelmente l’esperimento originale, offre la possibilità di poter mettere a confronto l’efficacia dell’applicazione utilizzata su tablet con quella in ambiente reale, in quanto il bambino è posizionato frontalmente rispetto al robot e, dunque, ha lo stesso punto di vista creato nella situazione reale. Il progetto è la realizzazione di un videogioco 3D che simuli il funzionamento e le dinamiche dell'esperimento con il robot reale.

29. MecWilly 3D: supporto all’orientamento topografico nei bambini in età scolare attraverso un serious game per la raccolta differenziata

Author

Corradin, Matteo, thesis supervisor: Mirri, Silvia, Corradin, Matteo, and thesis supervisor: Mirri, Silvia

Abstract

I robot e gli applicativi per smartphone e tablet assumono un ruolo sempre più attivo a supporto dello sviluppo e potenziamento delle abilità nei bambini. A partire dagli ultimi anni della scuola dell'infanzia (4-5 anni) una delle abilità più importanti che affrontano i bambini è l'orientamento topografico, con particolare riferimento alla relatività delle posizioni (destra e sinistra) degli oggetti rispetto ad un determinato punto. L'utilizzo delle ICT e della robotica, associate al conflitto socio-cognitivo offrono molteplici soluzioni per supportare al meglio l'acquisizione e il potenziamento di tali abilità di orientamento spaziale a partire già dai 5 anni. In questo contesto entra in gioco MecWilly, il quale funge da mezzo scatenante di questo processo. MecWilly è un robot umanoide alto 1 metro e 20 cm, realizzato con materiali economici e di recupero, grazie alla collaborazione con il Dipartimento di Psicologia dell'Università di Bologna e il Comune di Rimini. Il robot MecWilly viene utilizzato per studiare il conflitto socio-cognitivo nei bambini in età pre-scolare e scolare. L'obiettivo di questa tesi è realizzare una applicazione 3D che ha la finalità di sviluppare e migliorare le abilità nell'orientamento topografico (mappe) e nell'orientamento spaziale (contesto) dei bambini della scuola primaria. L’applicazione 3D, che riproduce fedelmente l’esperimento originale, offre la possibilità di poter mettere a confronto l’efficacia dell’applicazione utilizzata su tablet con quella in ambiente reale, in quanto il bambino è posizionato frontalmente rispetto al robot e, dunque, ha lo stesso punto di vista creato nella situazione reale. Il progetto è la realizzazione di un videogioco 3D che simuli il funzionamento e le dinamiche dell'esperimento con il robot reale.

30. Analisi, progettazione e sviluppo di un software mobile per il turismo

Author

Corradin, Matteo, thesis supervisor: Ravaioli, Mirko, Corradin, Matteo, and thesis supervisor: Ravaioli, Mirko

Abstract

Analisi, progettazione e sviluppo di un’applicazione che fornisca agli utenti la possibilità di consultare le informazioni riguardanti i punti d’interesse della città fornendo un’esperienza di tour guidato.

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