The Impact of Government Policies on the COVID-19 Pandemic in Scandinavia: A Machine Learning Approach.
(2024) STAN40 20241Department of Statistics
- Abstract
- This thesis, "The Impact of Government Policies on the COVID-19 Pandemic in Scandinavia: A Machine Learning Approach," examines the effects of governmental policies on COVID-19 outcomes in Denmark, Finland, Norway, and Sweden. These countries, while similar in many aspects, adopted varied public health measures in response to the pandemic.
Using data pre-processing techniques and machine learning algorithms, including Ordinary Least Squares (OLS) regression, Random Forest, and Support Vector Regression (SVR), this study analyzes the effectiveness of different interventions. The results highlight the critical role of testing, strict health policies and vaccination in managing the pandemic.
The findings of this thesis reveals some... (More) - This thesis, "The Impact of Government Policies on the COVID-19 Pandemic in Scandinavia: A Machine Learning Approach," examines the effects of governmental policies on COVID-19 outcomes in Denmark, Finland, Norway, and Sweden. These countries, while similar in many aspects, adopted varied public health measures in response to the pandemic.
Using data pre-processing techniques and machine learning algorithms, including Ordinary Least Squares (OLS) regression, Random Forest, and Support Vector Regression (SVR), this study analyzes the effectiveness of different interventions. The results highlight the critical role of testing, strict health policies and vaccination in managing the pandemic.
The findings of this thesis reveals some important roles of testing and governments policies in managing the pandemic. Differences in vaccination and booster programs highlight the varying public health strategies, as booster doses showing more impact in Denmark and Finland than in Norway and Sweden. Sweden had a unique approach, characterized by a positive correlation between case numbers and the stringency of public health measures.
Regarding death rates, strict public health measures are associated with lower mortality. Vaccination rates does impact the case numbers, by contributing to less death rates. The distinct patterns observed across the four countries, does reflect the diverse approaches of government policies in combating the effect of the pandemic.
Overall, this research highlights the different responses of public health strategies in Scandinavia, and provides some valuable insights for public health policy and response. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9159482
- author
- Kdlian, Anie LU
- supervisor
- organization
- course
- STAN40 20241
- year
- 2024
- type
- H1 - Master's Degree (One Year)
- subject
- keywords
- Covid-19, pandemic, Scandinavia, Sweden, Denmark, Finland, Norway, Machine Learning, ML, statistics, Data Science, KNN-impute, support vector regression, Ordinary Linear Regression, Random Forest, Log-normal transformation, Box-Cox transformation, Yeo-Johnson transformation, Covid cases, Covid deaths.
- language
- English
- id
- 9159482
- date added to LUP
- 2024-06-17 14:28:07
- date last changed
- 2024-06-17 14:28:07
@misc{9159482,
abstract = {{This thesis, "The Impact of Government Policies on the COVID-19 Pandemic in Scandinavia: A Machine Learning Approach," examines the effects of governmental policies on COVID-19 outcomes in Denmark, Finland, Norway, and Sweden. These countries, while similar in many aspects, adopted varied public health measures in response to the pandemic.
Using data pre-processing techniques and machine learning algorithms, including Ordinary Least Squares (OLS) regression, Random Forest, and Support Vector Regression (SVR), this study analyzes the effectiveness of different interventions. The results highlight the critical role of testing, strict health policies and vaccination in managing the pandemic.
The findings of this thesis reveals some important roles of testing and governments policies in managing the pandemic. Differences in vaccination and booster programs highlight the varying public health strategies, as booster doses showing more impact in Denmark and Finland than in Norway and Sweden. Sweden had a unique approach, characterized by a positive correlation between case numbers and the stringency of public health measures.
Regarding death rates, strict public health measures are associated with lower mortality. Vaccination rates does impact the case numbers, by contributing to less death rates. The distinct patterns observed across the four countries, does reflect the diverse approaches of government policies in combating the effect of the pandemic.
Overall, this research highlights the different responses of public health strategies in Scandinavia, and provides some valuable insights for public health policy and response.}},
author = {{Kdlian, Anie}},
language = {{eng}},
note = {{Student Paper}},
title = {{The Impact of Government Policies on the COVID-19 Pandemic in Scandinavia: A Machine Learning Approach.}},
year = {{2024}},
}