Epidemiology and BiostatisticsLaajuus (5 cr)
Study unit code: V1562
Credits
5 op
Learning outcomes
The student is able to
- analyse the pathogenesis of infectious diseases
- analyse and implement infection surveillance data in infection prevention
- implement epidemiological tools in infection prevention and outbreak management
Enrollment
28.11.2022 - 04.12.2022
Timing
01.01.2023 - 31.07.2023
Number of ECTS credits allocated
5 op
Virtual proportion
4 op
Mode of delivery
20 % Contact teaching, 80 % Distance learning
Unit
Korkeakouluyksikkö D /YAMK
Campus
Laurea Tikkurila
Teaching languages
- English
Seats
20 - 40
Degree programmes
- Complementary competence, master’s studies in English (CYJ2), Generic studies
- Complementary competence, Master’s studies (TYJ), Generic Studies
Teachers
- Elsi Haverinen-Mottaghi
Teacher in charge
Teija-Kaisa Aholaakko
Groups
-
CYJ23KJComplementary competence (master’s studies in English), K23, Generic studies
-
TYJ23KJTäydentävä osaaminen (yamk-tutkinto), K23, yhteiset opinnot
Learning outcomes
The student is able to
- analyse the pathogenesis of infectious diseases
- analyse and implement infection surveillance data in infection prevention
- implement epidemiological tools in infection prevention and outbreak management
Teaching methods
The student is able:
• to analyze symptoms, transmissions and spread of infectious
diseases
• to enhance preparedness, surveillance, and response to
infectious disease outbreaks
• to analyze, implement and communicate surveillance data in
infection prevention and control
• to critically assess contextual influences on infectious disease
management
Learning materials and recommended literature
Literature lists will be in Canvas platform.
Important dates
1 e-tivity: Definition for Epidemiology. By 23rd January 2023.
2 e-tivity: Basics of Outbreak. By 9th Feb 2023.
3 e-tivity: Outbreak report. By 28th Feb 2023.
4 e-tivity: Research table and quality of reporting epidemiological studies. By 31st March 2023.
5 e-tivity: Public health emergency preparedness. By 30th April 2023.
6 e-tivity: Syndromic surveillance plan in migrant centers. By 12th May 2023.
Workshop 17th February 2023 at Tikkurila Campus. Compulsory presence at the workshop = 8 hours.
Students workload
Individual work by completing e-tivities 125,5 hours. Outbreak management workshop 8 hours.
Grading scale
H-5
Evaluation methods and criteria
Evaluation criteria is based on the EQF 7-level. Detailed description of the evaluation criteria can also be found on Canvas platform. The evaluation is based on knowledge base, problem solving, development and communication skills.
Evaluation criteria, satisfactory (1-2)
Knowledge base: Satisfactory (1)
To gather, process, produce and evaluate information about epidemiology and biostatistics in health care widely. To use concepts of the area of expertise systematically.
Problem solving: Satisfactory (1)
To solve problems in epidemiology in health care development and/or innovation activities.
Development: Satisfactory (1)
To recognize and analyze focuses of epidemiology in health care development making use of the knowledge base.
Communication: Satisfactory (1)
To communicate about epidemiology and biostatistics in health care clearly both orally and in writing.
Evaluation criteria, good (3-4)
Knowledge base: Good (3)
To gather, process, produce and evaluate information about epidemiology and biostatistics in health care critically and widely making use of both national and international scientific sources. To use concepts of the area of expertise fairly.
Problem solving: Good (3)
To solve problems in epidemiology in health care development and/or innovation activities by applying and combining information from different fields.
Development: Good (3)
To create target-oriented, justified development plans for epidemiology in health care considering the community.
Communication: Good (3)
To communicate about epidemiology and biostatistics in health care in a competent, clear and consistent manner both orally and in writing.
Evaluation criteria, excellent (5)
Knowledge base: Excellent (5)
To create a consistent knowledge base for epidemiology and biostatistics in health care context making use of both national and international scientific sources in a critical analytic fashion.
Problem solving: Excellent (5)
To solve demanding problems in development and/or innovation activities in epidemiology in health care where new knowledge and competence is created
as well as to apply and combine information from different fields.
Development: Excellent (5)
To develop the activities of the epidemiology in health care competence area in a target-oriented and communal fashion.
Communication: Excellent (5)
To communicate about epidemiology and biostatistics in health care convincingly both orally and in writing to audiences within and exterior to the field.
Enrollment
29.11.2021 - 05.12.2021
Timing
01.01.2022 - 31.07.2022
Number of ECTS credits allocated
5 op
Virtual proportion
4 op
Mode of delivery
20 % Contact teaching, 80 % Distance learning
Unit
Korkeakouluyksikkö D /YAMK
Campus
Laurea Virtual Campus
Teaching languages
- English
Seats
41 - 50
Degree programmes
- Complementary competence, master’s studies in English (CYJ2), Generic studies
- Complementary competence, Master’s studies (TYJ), Generic Studies
Teachers
- Elsi Haverinen-Mottaghi
- Teija-Kaisa Aholaakko
Groups
-
CYJ22KJComplementary competence (master’s studies in English), K22, Generic studies
-
TYJ22KJTäydentävä osaaminen (yamk-tutkinto), K22, yhteiset opinnot
Learning outcomes
The student is able to
- analyse the pathogenesis of infectious diseases
- analyse and implement infection surveillance data in infection prevention
- implement epidemiological tools in infection prevention and outbreak management
Teaching methods
Methods: e-tivities, Outbreak management workshop.
Compulsory presence at the outbreak management workshop 12th February 2022 on campus / online according to the COVID-19 situation.
Assignments:
1 e-tivity: Definition for Epidemiology. By 20th Jan 2022.
2 e-tivity: Definition for Biostatistics. By 20th Jan 2022.
3-etivity: Global Health statistic concepts and parameters. By 20th Jan 2022.
4 e-tivity: Basics of Outbreak. By 5th Feb 2022.
5 e-tivity: Outbreak report. By 28th Feb 2022.
6 e-tivity: Research table in use and dissemination of evidence. By 15th March 2022.
7 e-tivity: Quality of epidemiological studies. By 31st March 2022.
8 e-tivity: Syndromic surveillance plan in migrant centers. By 4th May 2022.
Location and time
Online except 12th Feb on campus / online according to the COVID-19 situation.
Learning materials and recommended literature
Will be informed in Canvas.
Students workload
Campus / Online workshop 8 hours according to the actual COVID-19 situation.
Individual work by completing e-tivities127 hours
Content and scheduling
The student is able:
x to analyse the pathogenesis of infectious diseases
x to analyse and implement infection surveillance data in infection prevention
x to implement epidemiological tools in infection prevention and outbreak management
Content:
• introduction on health care statistics and their application in clinical practice and public health
• basics on epidemiology and biostatistics and their application in clinical practice and public health
• epidemiological and intervention study process
• outbreak management
Grading scale
H-5
Evaluation methods and criteria
According to applied Laurea's study unit evaluation criteria (2011) for EQF7-level.
Evaluation criteria, approved/failed
At EQF7-level according to applied Laurea's criteria (2011) for study unit evaluation.