Public Health Sciences

Dottorati
Doctoral programme (PhD)
A.Y. 2020/2021
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 occupational diseases
Air pollution exposure and molecular markers
Requisiti: Expertise in epigenetics, microbioma, or molecular biology
Metabolomic approach in exposed to Persistent Organic Pollutants
Requisiti: Knowledge of environmental exposure measures, and metabolic outcomes
Application of PBPK modeling and in silico tools to the risk assessment of industrial chemicals
Requisiti: Knowledge of PBPK models, and in silico toxicology
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
Requisiti: Nursing competence (clinical, educational, organizational or research-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.
Requisiti: Knowledge of the main statistical techniques for the longitudinal data analysis
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.
Requisiti: Knowledge of SAS
Analysis, interpretation and prediction of mortality and incidence data
Requisiti: Knowledge of SAS and R
Management and analysis of the European Cystic Fibrosis Society Patient Registry
Requisiti: Knowledge of SAS and SAS-stat
Collaborative reanalysis of epidemiological data, including epidemiological inference
Requisiti: 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 evalutaion of bioprofiles in oncology
Requisiti: Good experience in R programming. Good statistical knowledge
Agreement between measurement methods of continuous variables
Requisiti: Knowledge of the regression analysis, of the structural model analysis and of the multivariate statistical methods at an advanced level
Molecular epidemiolgy of viral infections of considerable impact on Public Health
Requisiti: 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
Requisiti: Exerience in clinical research, public health and medical statistics
Evaluation of predictive regression models with high-dimensional data. Model selection
Requisiti: 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)
Requisiti: Basic knowledge of survival analysis
L. Mariani
Phylogenesis and phylodynamics of the emerging infectious pathogens
Requisiti: 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
Requisiti: 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).
Requisiti: Background in biostatistics and public health
Application of the principles, concepts and methods of evidence-based medicine to the world of medical information.
Requisiti: Background in biostatistics and public health, and editing.
Operation management and service management in healthcare sector (patient flow logistics, patient experice, co-production)
Ageing and work: effects of workers' ageing and strenous working condition on biological age and work ability
Requisiti: 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
Requisiti: 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
Requisiti: 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
Requisiti: Good programming skills in SAS or R. Multivariate statistical knowledge
Health and work comfort 4.0
Requisiti: 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
Requisiti: 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
Requisiti: 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
Requisiti: 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
Requisiti: 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
Requisiti: 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
Requisiti: 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
Requisiti: Good knowledge of statistics and usage of statistical softwares
Models for growth charts in adolescents
Requisiti: Knowledge of linear regression models and statistical software
Genetic factors affecting the risk of mesotheliomas due to asbestos exposure
Requisiti: 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
Requisiti: 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
Meta-analytic methods for the evaluation of safety and efficacy of immunotherapy in oncology
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
Requisiti: 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
Requisiti: Knowledge of R and STAN
Development of a user-friendly tool for preventive risk assessment of pesticide use in agriculture
Requisiti: 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.
Requisiti: 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
Requisiti: Competences in the specific field of research - clinical, biomedical or public health; medical statistics

Enrollment

Places available: 4


Call for applications


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


Application for admission: from 08/07/2020 to 14/09/2020


Application for matriculation: from 12/10/2020 to 16/10/2020


Read the Call



Attachments and documents


Attachment 1