In the last ten years, there have been intense debates to boost the discipline, make it relevant to the genomic revolution, and place it at the forefront of the digital era. As a result, training in public health and epidemiology has been renewed, with marked statistical and methodological reinforcement, such as the current emphasis on causal inference, or the inclusion of master�s in data science for health as a new academic degree in some schools of public health https://www.hsph.harvard.edu/health-data-science/
This plea for changes in the way epidemiology is practiced presumes a progressive spirit among many ...
Modern infectious disease epidemiology builds on two independently developed fields: classical epide...
Epidemiology, biostatistics, and data science are broad disciplines that incorporate a variety of su...
It is currently believed that epidemiology should play a much greater part in the research and pract...
BackgroundGiven that many infectious diseases spread rapidly, across borders and species, there is a...
Inequalities persist when it comes to the attention, resource allocation and political prioritizatio...
BACKGROUND Given that many infectious diseases spread rapidly, across borders and species, there is ...
The key role of statistical modeling in epidemiology and public health is unquestionable [...]
Modern infectious disease epidemiology builds on two independently developed fields: classical epide...
Background. Public Health remains central to understand health and its determinants, and Public Heal...
Applied epidemiology training occurs throughout an epidemiologist's career, beginning with academic ...
PurposeTo identify macro-level trends that are changing the needs of epidemiologic research and prac...
BACKGROUND: The relevance of Public Health Genomics (PHG) education among public health specialists ...
Introduction: At the present time, higher education institutions dealing with education for public h...
Only a few efforts have been made to define competencies for epidemiologists working in academic set...
This plea for changes in the way epidemiology is practiced presumes a progressive spirit among many ...
Modern infectious disease epidemiology builds on two independently developed fields: classical epide...
Epidemiology, biostatistics, and data science are broad disciplines that incorporate a variety of su...
It is currently believed that epidemiology should play a much greater part in the research and pract...
BackgroundGiven that many infectious diseases spread rapidly, across borders and species, there is a...
Inequalities persist when it comes to the attention, resource allocation and political prioritizatio...
BACKGROUND Given that many infectious diseases spread rapidly, across borders and species, there is ...
The key role of statistical modeling in epidemiology and public health is unquestionable [...]
Modern infectious disease epidemiology builds on two independently developed fields: classical epide...
Background. Public Health remains central to understand health and its determinants, and Public Heal...
Applied epidemiology training occurs throughout an epidemiologist's career, beginning with academic ...
PurposeTo identify macro-level trends that are changing the needs of epidemiologic research and prac...
BACKGROUND: The relevance of Public Health Genomics (PHG) education among public health specialists ...
Introduction: At the present time, higher education institutions dealing with education for public h...
Only a few efforts have been made to define competencies for epidemiologists working in academic set...
This plea for changes in the way epidemiology is practiced presumes a progressive spirit among many ...
Modern infectious disease epidemiology builds on two independently developed fields: classical epide...
Epidemiology, biostatistics, and data science are broad disciplines that incorporate a variety of su...