Explain what cluster analysis is; Explain how cluster analysis can be used in health studies;List different clustering methods that can be used for clustering analysis; Perform spatial clustering analysis and assess map and examine spatial patterns in the data. Peer-review term projectList factors important in determining accessibility to health care; Review different approaches used to model accessibility to healthcare; Describe approaches useful for examining access to healthcare based on distance, time and cost;Explain the map algebra concepts; Evaluate disparities of accessibility to health care; Propose solutions to improving access to health careList factors important in understanding the ecology of vector-borne diseases; Examine the epidemiologic triad for different vector-borne diseases;Examine different methods of complexity used to map and model vector-borne diseases; Explain theoretical approaches and how overlay methods and raster-based modeling approaches can be used; Describe the epidemiologic triad for malaria;Apply complex map algebra operations to model risk of vector-borne disease - malaria; Describe how these outputs are useful for public health response.Same as LO7Identify data sources useful for exploring health and disease outcomes; Explain why spatial data is special and limitations associated with spatial data ;Distinguish and critique between authoritative vs. non-authoritiative data sources; Explain privacy and ethical concerns associated with mapping and using health and disease data; Explore technologies and assess how these can be used for collecting health and disease dataDescribe the research process used to investigate patterns associated with health and disease ; Calculate summary statistics (central tendency, variability);Calculate the three centers of spatial data distributions; Describe the concepts of basic biostatistics and how these can be applied to summarize and analyze health and disease data; Assess how (geo)visualizations can be useful for examining disease.Explain Epidemic theory; Identify what surveillance data are important; List the steps important in an outbreak investigation; Describe the spatial tools that are useful at each of these steps; Identify data limitations during a crisis (pandemic)-response situation; Analyze and describe the spread of an outbreak/pandemic and distribution of human cases; Critique analytical outputs and data visualizations and evaluate their usefulness in assessing and communicating risk; Create an interactive outbreak map that would be useful for communicating risk; Evaluate the usefulness of web maps in communicating risk during an on-going outbreakDescribe how geospatial information, technologies and spatial analysis methods can be used in health and disease studies; apply spatial analysis methods to describe health risksPresent individual term-project and peer-evaluate term projectComplete analysis and write-up of individual term-project.
is course learning outcome of
OSIRIS number
course number
EC credits
durationHours
durationWeeks
endDate
2023-07-06T22:00:00Z
has delivery mode
hasDidacticalApproachComment
Readings: lecture notes and re ...... uring the course to the topic.
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has learning outcome
hasPrerequisiteComment
Students should have some data ...... lth sciences or public health.
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is part of programme
number of staff
quartileITC
quartileUT
startDate
2023-04-23T22:00:00Z
abstract
Geohealth integrates epidemiol ...... e incidences may be occurring.
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title
Geo-Health 2
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type
label
Geo-Health 2
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GeoHealth Course
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prefLabel
Geo-Health 2
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