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The module is explicitly informed by the planetary health education framework (Guzman et al 2021). ... Describe how planetary health issues are related to social justice and wider social issues.

with health, the factors which may determine their variation, public health impact and policy. ... Pre-requisites:. Principles of Epidemiology, Principles of Biostatistics, and Principles of Public Health.

MPhil Population Health Sciences. Infectious disease modelling. Infectious Disease Modelling. Module Aims:.

Demonstrate awareness of the practicalities of doing applied health research, particularly within primary care settings. ... Describe the range of research designs used in applied health research, and be able to provide a justification for using a

MPhil Population Health Sciences. Geostatistical modelling. Geostatistical models for public health applications.

Module Aims:. This introductory module aims to familiarise students with qualitative and mixed methods research approaches used in population health science research. ... Outline the major qualitative and mixed methods approaches used in population

MPhil Population Health Sciences. Applied machine learning. Applied Machine Learning in Bioinformatics. ... Module Aims: This module aims to link the fundamental concepts presented in “Introduction to Machine Learning” to practical examples

Describe, implement, and interpret a range of statistical methods in the context of population health studies. ... Familiarity with the R statistical software. Familiarity with the types of research questions of interest in population health science.

The module will cover aspects of nutritional epidemiology including dietary assessment, associations of diet and nutrition with health, public health impact and policy. ... Identify and explain challenges in nutritional epidemiology and how they impact

For this reason, after graduating from Harvard with a degree in Economics, she pursued an MPhil in Public Health at the University of Cambridge (2019 u2013 2020) to strengthen epidemiological research ... has been an integral part of my academic

MPhil Population Health Sciences. Surveys: design, delivery, and analysis. Designing, delivering and analysing surveys. ... Assessment:. Critically appraise a selected survey / questionnaire used in population health sciences, considering strengths,

MPhil Population Health Sciences. Introduction to machine learning. Introduction to Machine Learning.

Students also consider the commercial determinants of health, exploring how multinational corporations’ activities have impacted on health past and present. ... Provide an analytical account of the concept of globalization and its relevance to health

Site Search. Advanced biostatistics for health data science. ... MPhil Population Health Sciences. Advanced biostatistics for health data science. Advanced Biostatistics for HDS.

MPhil Population Health Sciences. Using routinely collected electronic health record data for health research. ... Practical sessions using electronic health data will capture exercises in primary care, health economics and social care and will be used

MPhil Population Health Sciences. Theories of leadership and change for public health practice. ... This module is compulsory for those in the EoE Public Health Training scheme as part of preparation for the FPH Diplomate exam.

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