Department of Epidemiology, Biostatistics and Occupational Health
E45743
The Department of Epidemiology, Biostatistics and Occupational Health is an academic unit at McGill University specializing in research and graduate education on population health, statistical methods, and workplace health risks.
All labels observed (1)
| Label | Occurrences |
|---|---|
| Department of Epidemiology, Biostatistics and Occupational Health canonical | 2 |
How this entity was disambiguated
This entity first appeared as the object of triple T360597 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
Target entity: Department of Epidemiology, Biostatistics and Occupational Health Context triple: [Faculty of Medicine and Health Sciences (McGill University), hasUnit, Department of Epidemiology, Biostatistics and Occupational Health]
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A.
Department of Biostatistics
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health is a leading academic center for developing and applying statistical methods to advance biomedical, public health, and quantitative science research.
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B.
Department of Health Policy and Management
The Department of Health Policy and Management is an academic unit at the Harvard T.H. Chan School of Public Health focused on research and education in health policy, health systems, and healthcare management.
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C.
Department of Global Health and Population
The Department of Global Health and Population is an academic department at the Harvard T.H. Chan School of Public Health focused on research, education, and policy to improve health and reduce inequalities worldwide.
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D.
School of Public Health
The School of Public Health at the University of California, Berkeley is a leading institution dedicated to research, education, and practice in public health disciplines such as epidemiology, environmental health, health policy, and global health.
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E.
Division of Cancer Control and Population Sciences
The Division of Cancer Control and Population Sciences is a branch of the National Cancer Institute that leads research and programs focused on understanding cancer burden, risk factors, prevention, and outcomes at the population level.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Target entity: Department of Epidemiology, Biostatistics and Occupational Health Target entity description: The Department of Epidemiology, Biostatistics and Occupational Health is an academic unit at McGill University specializing in research and graduate education on population health, statistical methods, and workplace health risks.
-
A.
Department of Biostatistics
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health is a leading academic center for developing and applying statistical methods to advance biomedical, public health, and quantitative science research.
-
B.
Department of Health Policy and Management
The Department of Health Policy and Management is an academic unit at the Harvard T.H. Chan School of Public Health focused on research and education in health policy, health systems, and healthcare management.
-
C.
Department of Global Health and Population
The Department of Global Health and Population is an academic department at the Harvard T.H. Chan School of Public Health focused on research, education, and policy to improve health and reduce inequalities worldwide.
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D.
School of Public Health
The School of Public Health at the University of California, Berkeley is a leading institution dedicated to research, education, and practice in public health disciplines such as epidemiology, environmental health, health policy, and global health.
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E.
Division of Cancer Control and Population Sciences
The Division of Cancer Control and Population Sciences is a branch of the National Cancer Institute that leads research and programs focused on understanding cancer burden, risk factors, prevention, and outcomes at the population level.
- F. None of above. chosen
Statements (47)
| Predicate | Object |
|---|---|
| instanceOf |
academic department
ⓘ
university department ⓘ |
| abbreviation | EBOH ⓘ |
| academicAffiliation |
Faculty of Medicine and Health Sciences of McGill University
ⓘ
surface form:
Faculty of Medicine and Health Sciences, McGill University
|
| collaboratesWith |
McGill University Health Centre
ⓘ
international health organizations ⓘ public health agencies in Quebec ⓘ |
| country | Canada ⓘ |
| employs |
biostatisticians
ⓘ
epidemiologists ⓘ occupational health researchers ⓘ |
| engagesIn |
methodological research in statistics
ⓘ
population health research ⓘ research on workplace health risks ⓘ |
| fieldOfWork |
biostatistics
ⓘ
epidemiology ⓘ occupational health ⓘ population health ⓘ public health ⓘ workplace health risks ⓘ |
| focusesOn |
evidence-based health decision-making
ⓘ
training public health professionals ⓘ training quantitative health scientists ⓘ |
| hasAcademicProgram |
Master’s programs in biostatistics
ⓘ
Master’s programs in epidemiology ⓘ PhD programs in biostatistics ⓘ PhD programs in epidemiology ⓘ PhD programs in occupational health ⓘ |
| languageOfInstruction | English ⓘ |
| locatedIn |
Montreal
ⓘ
Quebec, Canada ⓘ
surface form:
Quebec
|
| offers |
graduate education
ⓘ
research training ⓘ |
| parentOrganization |
Faculty of Medicine and Health Sciences of McGill University
ⓘ
surface form:
McGill University Faculty of Medicine and Health Sciences
|
| partOf | McGill University ⓘ |
| sector | higher education ⓘ |
| specializesIn |
chronic disease epidemiology
ⓘ
clinical epidemiology ⓘ global health ⓘ health services research ⓘ infectious disease epidemiology ⓘ methods in epidemiologic research ⓘ occupational and environmental epidemiology ⓘ occupational disease prevention ⓘ statistical methods for health research ⓘ workplace exposure assessment ⓘ |
| website | https://www.mcgill.ca/epi-biostat-occh/ ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Subject: Department of Epidemiology, Biostatistics and Occupational Health Description of subject: The Department of Epidemiology, Biostatistics and Occupational Health is an academic unit at McGill University specializing in research and graduate education on population health, statistical methods, and workplace health risks.
Referenced by (2)
Full triples — surface form annotated when it differs from this entity's canonical label.