. . . . "ITC Bok"@en . . "EOS_0001" . . "GeoHealth Course"@en . "202100310" . "EOS_0002" . "7"^^ . "196"^^ . "10"^^ . "2023-07-06T22:00:00Z"^^ . "online" . "Readings: lecture notes and readings,\n\nWeekly quizzes, discussions and projects.\n\nInteractive peer-review\n\nIndividual term project where the student selects a topic and use what they learn during the course to the topic."@en . . . . . . . . . . . "Students should have some data science, statistics background. GIS and remote sensing background is a benefit. This course is currently an elective with the aim to be the first course in the geohealth specialization. ,All students in Geoinformatics specialization are accepted. Students following other specializations should have a background in one or more of the following: data science, epidemiology, statistics, health sciences or public health."@en . . . . . . . . . . . "4"^^ . "4" . "2B " . . . . . . . "2023-04-23T22:00:00Z"^^ . "Geohealth integrates epidemiology with spatial data science. During the course students will be introduced to different spatial analysis methods, spatial data science methods and spatial concepts useful for the analysis of health and disease. These include the collection and use of geographic information, mapping of disease incidence and understanding where, when, why and how disease incidences may be occurring."@en . "Geo-Health 2"@en . "Geo-Health 2"@en . "Geo-Health 2"@en . . "202100001" . "EOS_0001" . "5"^^ . "140"^^ . "10"^^ . "2023-02-02T23:00:00Z"^^ . "online" . "Readings: lecture notes and readings,\n\nWeekly quizzes, discussions and projects.\n\nInteractive peer-review\n\nIndividual term project where the student selects a topic and use what they learn during the course to the topic."@en . . . . . . . . . . . "Students should have some data science, statistics background. GIS and remote sensing background is a benefit. This course is currently an elective with the aim to be the first course in the geohealth specialization. ,All students in Geoinformatics specialization are accepted. Students following other specializations should have a background in one or more of the following: data science, epidemiology, statistics, health sciences or public health."@en . . . . . . . . . . "4"^^ . "2" . "1B " . . . . . . . "2022-11-13T23:00:00Z"^^ . "Geohealth integrates epidemiology with spatial data science. During the course students will be introduced to different spatial analysis methods, spatial data science methods and spatial concepts useful for the analysis of health and disease. These include the collection and use of geographic information, mapping of disease incidence and understanding where, when, why and how disease incidences may be occurring."@en . "Geo-Health 1"@en . . "Geo-Health 1"@en . "Geo-Health 1"@en . "https://ltb.itc.utwente.nl/page/792/concept/152834" . . "Cholera"@en .