Public Health Sciences

Dottorati
Doctoral programme (PhD)
A.Y. 2021/2022
Study area
Medicine and Healthcare
Doctoral programme (PhD)
3
Years
Dipartimento di Scienze Cliniche e di Comunità - Campus di Cascina Rosa - Via A. Vanzetti 5 - Milano
Italian
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.
Tutte le classi di laurea magistrale - All classes of master's degree
Dipartimento di Scienze Cliniche e di Comunità - Campus di Cascina Rosa - Via A. Vanzetti 5 - Milano
Title Professor(s)
Physiopathogenetic mechanisms of occupatonal diseases
Air pollution exposure and molecular markers
Requirements: Expertise in epigenetics, microbioma, or molecular biology
Metabolomic approach in exposed to Persistent Organic Pollutants
Requirements: Knowledge of environmental exposure measures, and metabilic outcomes
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 researh-oriented)
Bacterial foodborne diseases: phenotyping and genotyping method to epidemiological purposes and outbreak investigation
Evaluation of the clinical impact of the alterations of metabolism of the glucids and of the insulin secretion in a longitudinal study started in 2003 in patients affected by Cystic Fibrosis followed-up at the Regional Referral Centre.
Requirements: Knowledge of the main statistical techniques for the longitudinal data analysis
Seroprevalence, immunization and long-term consequences of SARS-CoV-2 infection in cystic fibrosis
Requirements: Experience in clinical research
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
Collaborative reanalysis of epidemiological data, including epidemiological inference
Requirements: Methods for meta- and pooled analyses, including mixed-effects models. Knowledge of SAS and R
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
Molecular epidemiology of viral infections of considerable impact on Public Health
Requirements: Basic experiences in moleculary biology lab
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: Exerience 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
L. Mariani
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
Statistical methods for primary studies and metanalysis on diagnostic accuracy
Requirements: Methods for contingency tables analysis and knowledge on linear model
Assessment of the benefits and harms of health interventions by conducting systematic reviews in different clinical areas (internal medicine, cardiology, oncology, neurology, orthopaedics 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.
Operation management and service management in healthcare sector (patient flow logistics, patient experice)
Co-production of health service
Value based healthcare: approaches and tools
Ageing and work: effects of workers' ageing and strenous working condition on biological age and work ability
Requirements: Skills in the field of the evaluation of health effect associated to occupational exposures
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
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
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
Health and work comfort 4.0
Requirements: Knowledge on the evaluation of professional risks and their effects on workers’ health and comfort
Net and relative survival models for the incidence of cancer mortality: data from tumor registry, observational and experimental clinical studies
Requirements: Good statistical knowledge
Infections of public health impact: epidemiology and prevention
Admission appropriateness evaluation in acute and rehabilitation structures
HTA in Public Health
Usage of big databases (administrative databases o more clinical databases togheter) to evaluate the ability (in terms of feasibility and accuracy) of the attribute matching methodology to predict the events risk in different clinical contensts, comparing prognostic scores already pubblished 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)
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
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, poisson and survival and longitudinal regression analysis. The use of R and Stata is required.
R. Bellocco
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
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
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 criminologic topics
Clinical competence assessment frameworks in Health Care Organization and impact analysis
Topics and methods for clinicians engagement in Health Care Organizations
Surveillance and control of healthcare associated infections (HCAI). Their prevention through good practices.
Clinical risk management. From risk assessment to the implementation of good practices.
Shared and covariate-specific a posteriori dietary patterns for the assessemnt of reproducibility of dietary patterns across studies, countries, time, or major covariates
Requirements: Good programming skills in SAS or R. Multivariate statistical knowledge
Bivariate spline models for the estimation of the association between continuous variables and cancer risk
Requirements: Knowledge of R and STAN
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
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
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
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 techiniques 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

Courses list

November 2021
Courses or activities Professor(s) ECTS Total hours Language
Optional
Clinical criminology, legal medicine and the law: knowledge and prevention for healthcare professionals 2 15 Italian
December 2021
Courses or activities Professor(s) ECTS Total hours Language
Optional
Causal Inference in Epidemiology 5 26 English
January 2022
Courses or activities Professor(s) ECTS Total hours Language
Optional
Lectures and laboratory on methodology and statistical techniques associated with conducting clinical trials. 2 12 Italian
One Health approach to emerging zoonoses control 2 12 Italian
February 2022
Courses or activities Professor(s) ECTS Total hours Language
Optional
Methods for survival analysis 6 36 Italian
Operations management in healthcare 3 18 Italian
Statistic for decisions in Public Health 3 18 Italian
March 2022
Courses or activities Professor(s) ECTS Total hours Language
Optional
Crisis management in Healthcare Organizations and Life Science Companies 2 12 Italian
Evaluation of the effectiveness of infertility treatments: a statistical challenge 2 10 Italian
Spontaneous reporting systems database analyses for supporting the rational use of drugs 2 12 Italian
April 2022
Courses or activities Professor(s) ECTS Total hours Language
Optional
The architecture and interpretation of prognostic studies 2 10 Italian
May 2022
Courses or activities Professor(s) ECTS Total hours Language
Optional
Computational Statistics with R and Python 3 20 English
Design of observational studies 2 10 Italian
Systematic reviews with meta-analysis: statistical methods and interpretation of results 2 12 Italian
July 2022
Courses or activities Professor(s) ECTS Total hours Language
Optional
Exploratory statistical methods for medical data 2 12 English
Surveillance and dynamics of the relevant infections in Public Health 3 16 Italian

Enrollment

Places available: 6

Call for applications

Please refer to the call for admission test dates and contents, and how to register.

Session: 1

Application for admission: from 28/06/2021 to 01/09/2021

Application for matriculation: from 27/09/2021 to 02/10/2021

Read the Call


Attachments and documents

Attachments to the call

Qualifications assessment

Evaluation Results

Session: 2

Application for admission: from 15/10/2021 to 08/11/2021

Application for matriculation: from 18/11/2021 to 22/11/2021

Read the Call


Attachments and documents

Attachments to the call

Extension

Attachment 1

Qualifications assessment

Evaluation Results

Research lines assigned