Public Health Sciences
Doctoral programme (PhD)
A.Y. 2022/2023
Study area
Medicine and Healthcare
PhD Coordinator
The doctoral programme in Public Health Sciences aims to form researchers who are able to design, undertake and critically interpret research and advanced training projects and to assess health status and prevent the spread of transmittable and chronic-degenerative diseases within the population; promote health in individuals and populations; disseminate scientific culture and applicable research methodologies.
The internationalisation process foresees the exchange of students and professors with doctoral students, research centres and foreign institutions and the organisation of courses held by foreign experts.
The specific objectives of the doctoral programme include the development of research methodologies in the area of health, both laboratory and clinical; in the area of prevention policies focusing on the public and on particular groups at risk; in the context of services to the population for protecting and promoting individual health; in a transversal and transdisciplinary context that recognizes that the health of a populations is closely linked to that of animals and the environment ('one health' approach) and acquisition of a solid methodological grounding in the quantitative disciplines required to correctly apply and develop methods for the critical interpretation of basic, clinical, medical and epidemiological research findings.
The internationalisation process foresees the exchange of students and professors with doctoral students, research centres and foreign institutions and the organisation of courses held by foreign experts.
The specific objectives of the doctoral programme include the development of research methodologies in the area of health, both laboratory and clinical; in the area of prevention policies focusing on the public and on particular groups at risk; in the context of services to the population for protecting and promoting individual health; in a transversal and transdisciplinary context that recognizes that the health of a populations is closely linked to that of animals and the environment ('one health' approach) and acquisition of a solid methodological grounding in the quantitative disciplines required to correctly apply and develop methods for the critical interpretation of basic, clinical, medical and epidemiological research findings.
Tutte le classi di laurea magistrale - All classes of master's degree
Dipartimento di Scienze Cliniche e di Comunità - Laboratorio di Statistica - Via Celoria 22 - Milano
- Degree course coordinator: Carlo La Vecchia
[email protected] - Degree course website
http://www.discco.unimi.it/ecm/home/didattica/dottorati/scienze-per-la-sanita-pubblica - Main offices
Dipartimento di Scienze Cliniche e di Comunità - Laboratorio di Statistica - Via Celoria 22 - Milano
| Title | Professor(s) |
|---|---|
| Exploiting multiple real-world data sources to investigate emerging safety issues of drugs (including pharmacological aspects underlying previously unknown but clinically relevant side effects) and support the drug repurposing, in fragile clinical settings.
Requirements: Pharmacology and Pharmacovigilance basic skills Good experience in R programming. Good statistical knowledge Strong knowledge of bibliographic databases |
|
| Suicides, homicides and interpersonal violence in institutions and the community with an emphasis on professional liability issues
Requirements: Corroborated expertise and good knowledge in forensic, judicial and criminological topics |
|
| Admission appropriateness evaluation in acute and rehabilitation structures | |
| HTA in Public Health | |
| Towards a more rational use of infertility treatments: studies on models validation, cost-effectiveness and cost-benefits
Requirements: Awareness on infertility clinical issues and good knowledge of statistics |
|
| Usage of big databases (administrative databases o more clinical databases together) to evaluate the ability (in terms of feasibility and accuracy) of the attribute matching methodology to predict the events risk in different clinical contents, comparing prognostic scores already published in literature
Requirements: Knowledge of medical statistic (base level) and good skills on using softwares for the statistical analysis and management of big databases (SAS, MS Access) |
|
| Principles and methods of causal inference in observational data, with application to large scale epidemiological studies, such as the Swedish National March Cohort
Requirements: Good knowledge of principles of epidemiology and statistical methods, in particular generalized linear models, such as logistic, poison and survival and longitudinal regression analysis. The use of R and Stata is required. |
R. Bellocco
|
| Bacterial and viral foodborne diseases: phenotyping and genotyping methods for the epidemiological study of pathogens and investigation of outbreaks
Requirements: Basic knowledge of epidemiology and experience in the molecular biology laboratory |
|
| Molecular epidemiology of viral infections of major public health impact
Requirements: Basic experiences in the molecular biology laboratory |
|
| Assessment of the benefits and harms of health interventions by conducting systematic reviews in different clinical areas (internal medicine, cardiology, oncology, neurology, orthopedics and rehabilitation, public health).
Requirements: Background in biostatistics and public health. |
|
| Application of the principles, concepts and methods of evidence-based medicine to the world of medical information.
Requirements: Background in biostatistics and public health, and editing. |
|
| Use of routine data base to monitor the quality of the obstetric care and the analysis of the geographic and temporal trends of obstetric diseases
Requirements: Experience in clinical research, public health and medical statistics |
|
| Statistical methods for primary studies and metanalysis on diagnostic accuracy
Requirements: Methods for contingency tables analysis and knowledge on linear model |
|
| Usage of big databases (administrative databases o more clinical databases together) to evaluate the ability (in terms of feasibility and accuracy) of the attribute matching methodology to predict the events risk in different clinical contents, comparing prognostic scores already published in literature
Requirements: Knowledge of medical statistic (base level) and good skills on using softwares for the statistical analysis and management of big databases (SAS, MS Access) |
|
| Clinical competence assessment frameworks in Health Care Organization and impact analysis | |
| Topics and methods for clinicians engagement in Health Care Organizations | |
| Organizational development and design in healthcare organizations: methods and tools for organizational check up and needs analysis, organizational models and structures design. | |
| Metabolomic approach in exposed to Persistent Organic Pollutants
Requirements: Knowledge of environmental exposure measures, and metabolic outcomes |
|
| Psychometric methodology in exposed to occupational stress
Requirements: Expertise in epidemiological studies with evaluation of psychological wellbeing in workers (health care or other sectors) |
|
| Ageing and work: effects of workers' ageing and strenuous working condition on biological age and work ability
Requirements: Skills in the field of the evaluation of health effect associated to occupational exposures |
|
| Shared and covariate-specific a posteriori dietary patterns for the assessment of reproducibility of dietary patterns across studies, countries, time, or major covariates
Requirements: Good programming skills in SAS or R. Multivariate statistical knowledge |
|
| Effects of a diet adhering to the Mediterranean diet on the composition of breast milk
Requirements: Good programming skills in SAS or R. Good knowledge of basic statistics |
|
| Bivariate spline models for the estimation of the association between continuous variables and cancer risk
Requirements: Knowledge of R and STAN |
|
| Collaborative reanalysis of epidemiological data, including epidemiological inference
Requirements: Methods for meta- and pooled analyses, including mixed-effects models. Knowledge of SAS and R |
|
| A posteriori dietary pattern in nutritional epidemiology: problems of statistical analysis and epidemiological interpretation
Requirements: Good programming skills in SAS or R. Multivariate statistical knowledge |
|
| Issues of epidemiological models, with particular reference to large food or nutrient databases
Requirements: Good programming skills in SAS or R. Good knowledge of basic statistics |
|
| Transmission dynamics of West Nile virus in North Italy: identification of environmental factor and quantification of their role for predicting infection spreading and identification of control measures
Requirements: Knowledge of mathematical modelling for the analysis of the systems and statistical modelling for parameters estimate. Experience in programming with R language |
|
| Disease surveillance systems for animal populations: definition of system sensitivities and implementation of syndromic systems for emerging pathogens
Requirements: Good knowledge of statistical methods, base on geographical information systems and application of probability analysis. Experience in programming with R language |
|
| Analysis of transmission of pharmaco-resistant strains and emerging pathogens: identification of source and sentinel populations
Requirements: Knowledge of mathematical modelling for the analysis of the systems and statistical modelling for parameters estimate. Experience in programming with R language |
|
| Physiopathogenetic mechanisms of occupational diseases | |
| Air pollution exposure and molecular markers
Requirements: Expertise in epigenetics, microbiome, or molecular biology |
|
| Project, implementation and assessment of the effectiveness of several nursing interventions in different clinical situations, in hospital and outpatients. Project and implementation of interventions aimed at reducing nursing-related clinical risk
Requirements: Nursing competence (clinical, educational, organizational or research-oriented) |
|
| Study of the role diet of prebiotics and probiotics on the risk of selected cancers, with focus on statistical models to disentangle the effect of various micronutrients.
Requirements: Knowledge of SAS |
|
| Analysis, interpretation and prediction of mortality and incidence data
Requirements: Knowledge of SAS and R |
|
| Management and analysis of the European Cystic Fibrosis Society Patient Registry
Requirements: Knowledge of SAS and SAS-stat |
|
| Analysis of molecular data from Next Generation Sequencing of DNA and RNA for the evaluation of bioprofiles in oncology
Requirements: Good experience in R programming. Good statistical knowledge |
|
| Agreement between measurement methods of continuous variables
Requirements: Knowledge of the regression analysis, of the structural model analysis and of the multivariate statistical methods at an advanced level |
|
| Net and relative survival models for the incidence of cancer mortality: data from tumor registry, observational and experimental clinical studies
Requirements: Good statistical knowledge |
|
| Use of routine data base to monitor the quality of the obstetric care and the analysis of the geographic and temporal trends of obstetric diseases
Requirements: Experience in clinical research, public health and medical statistics |
|
| Evaluation of predictive regression models with high-dimensional data. Model selection
Requirements: Good knowledge of statistical methods and survival analysis |
|
| Joint analysis of time to event data with longitudinal biomarkers data: applications in cardiology (NT-proBNP in patients with Surgical Ventricular Remodeling) and oncology (immunology in patients with metastatic melanoma)
Requirements: Basic knowledge of survival analysis |
|
| Use of generalized linear (and non-linear) models for treatment evaluation using clinically useful measures and time-to-event outcomes
Requirements: Good knowledge of statistical methods and statistical software |
|
| Effects of oxygen therapy on lung transplants and mortality in people with CF using multi state models
Requirements: Good knowledge of statistical methods and statistical software |
|
| Life expectancy in people with Cystic Fibrosis: comparison among European countries that joined the European Cystic Fibrosis Patients Registry using methods of relative survival
Requirements: Good knowledge of statistics and usage of statistical softwares |
|
| Models for growth charts in adolescents
Requirements: Knowledge of linear regression models and statistical software |
|
| Regression models time discrete survival analysis. Adjustment of the method in the presence of competing risks to estimate the sub-distribution hazard and marginal hazard
Requirements: Good knowledge of statistical methods for survival analysis. Experience in programming with R language |
|
| Use of Machine Learning techniques for variables selection and prognostic models building
Requirements: Knowledge of multivariate analysis techniques and modelling with penalized estimation |
|
| Milan Sforza Registers (mortuorum libri): historical and anthropological epidemiological analysis of mortality
Requirements: Knowledge of statistical methods for epidemiology and geographical information systems |
|
| Phylogenesis and phylodynamics of the emerging infectious pathogens
Requirements: Expertise in the molecular biology techniques with special refer to the next generation sequencing and basic knowledge in bioinformatics and phylogenetic analysis |
|
| Operation management and service management in healthcare sector (patient flow logistics, patient experice) | |
| Co-production of health service | |
| Value based healthcare: approaches and tools | |
| Health and work comfort 4.0
Requirements: Knowledge on the evaluation of professional risks and their effects on workers’ health and comfort |
|
| Infections of public health impact: epidemiology and prevention | |
| Towards a more rational use of infertility treatments: studies on models validation, cost-effectiveness and cost-benefits
Requirements: Awareness on infertility clinical issues and good knowledge of statistics |
|
| Genetic factors affecting the risk of mesotheliomas due to asbestos exposure
Requirements: Competences in the specific field of research - clinical, biomedical or public health; medical statistics. Experience with pneumoconiosis research |
|
| Biomechanical overload in the living and working environments: risk factors, diseases, diagnosis and prevention
Requirements: Competences in the specific field of research - clinical, biomedical or public health, especially related to biomechanical overload; occupational hygiene - experience with risk assessment and ergonomic approach; medical statistics |
|
| Development of a user-friendly tool for preventive risk assessment of pesticide use in agriculture
Requirements: Competences in the specific field of research - clinical, biomedical or public health; medical statistics |
|
| The Covid 19 epidemic among the employees of a public healthcare company of Milano (Italy): trend, symptoms and duration of the infection, study of the serological and molecular indicators.
Requirements: Competences in the specific field of research - clinical, biomedical or public health; medical statistics |
|
| Comparison among methods for estimating and measuring occupational exposure to asbestos and evaluation of genetically mediated susceptibility to mesothelioma. Study on an autopsy series of cases
Requirements: Competences in the specific field of research - clinical, biomedical or public health; medical statistics |
|
| Surveillance and control of healthcare associated infections (HCAI). Their prevention through good practices. | |
| Clinical risk management. From risk assessment or the implementation of good practices. | |
| Molecular epidemiology of antimicrobial resistance in a One-Health perspective. Sampling, sequencing and comparison of resistance genes from human and animal pathogenic bacteria in Lombardy.
Requirements: Knowledge in microbiology, molecular biology and epidemiology |
|
| Towards a value-based health: the role of telemedicine (Ex DM 352/2022) |
Courses list
October 2022
| Courses or activities | Professor(s) | ECTS | Total hours | Language |
|---|---|---|---|---|
| Optional | ||||
| Operations Management in Healthcare | 4 | 24 | Italian | |
November 2022
| Courses or activities | Professor(s) | ECTS | Total hours | Language |
|---|---|---|---|---|
| Optional | ||||
| Clinical Criminology, Legal Medicine and the Law: Knowledge and Prevention for Healthcare Professionals | 2 | 10 | Italian | |
| Crisis Management in Healthcare Organizations and Life Science Companies | 3 | 16 | Italian | |
January 2023
| Courses or activities | Professor(s) | ECTS | Total hours | Language |
|---|---|---|---|---|
| Optional | ||||
| Clinical Trials: Lectures and Lab. On Methodology and Statistical Techniques Associated with Conducting Clinical Trials | 3 | 18 | Italian | |
| One Health Approach to Emerging Zoonoses Control | 2 | 14 | Italian | |
February 2023
| Courses or activities | Professor(s) | ECTS | Total hours | Language |
|---|---|---|---|---|
| Optional | ||||
| Methods for Survival Analysis | 6 | 36 | Italian | |
March 2023
| Courses or activities | Professor(s) | ECTS | Total hours | Language |
|---|---|---|---|---|
| Optional | ||||
| Design of Observational Studies | 2 | 10 | Italian | |
| Evaluation of the Effectiveness of Infertility Treatments: a Statistical Challenge | 2 | 10 | Italian | |
| Omics Applications for the Study of Antimicrobial Resistance and Zoonoses from a One-Health Perspective | 2 | 12 | Italian | |
April 2023
| Courses or activities | Professor(s) | ECTS | Total hours | Language |
|---|---|---|---|---|
| Optional | ||||
| How to Design Your Scientific Study | 2 | 10 | Italian | |
| Research and Development of New Drugs : How to Create Innovation | 2 | 10 | Italian | |
May 2023
| Courses or activities | Professor(s) | ECTS | Total hours | Language |
|---|---|---|---|---|
| Optional | ||||
| Epidemiology and Control Strategies of Enteric Viral Infectious Diseases | 2 | 10 | Italian | |
| Exploratory Statistical Methods for Medical Data | 2 | 12 | English | |
| Social Statistics in Public Health | 3 | 16 | Italian | |
| Systematic Reviews with Meta-Analysis: Statistical Methods and Interpretation of Results | 3 | 16 | Italian | |
September 2023
| Courses or activities | Professor(s) | ECTS | Total hours | Language |
|---|---|---|---|---|
| Optional | ||||
| Surveillance and Dynamics of the Relevant Infections in Public Health | 3 | 16 | Italian | |
Following the programme of study
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