EXPLORATION OF DISTRICT-WISE COVID-19 SPREAD IN SARAWAK USING GEOGRAPHICALLY WEIGHTED REGRESSION (GWR)
In the year 2020, the COVID-19 outbreak was well-controlled in the Malaysian state of Sarawak. However, there was a surge in positive cases that began in January 2021 and affected all districts, including rural areas with limited health care. Because COVID-19 is extremely dangerous to human he...
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Universiti Malaysia Sarawak, (UNIMAS)
2023
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Online Access: | http://ir.unimas.my/id/eprint/44148/1/Fiona%20Teu%20Pui%20Jun%20%20ft.pdf http://ir.unimas.my/id/eprint/44148/ |
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my.unimas.ir.441482024-01-17T02:00:39Z http://ir.unimas.my/id/eprint/44148/ EXPLORATION OF DISTRICT-WISE COVID-19 SPREAD IN SARAWAK USING GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) Fiona, Teu Pui Jun QA75 Electronic computers. Computer science In the year 2020, the COVID-19 outbreak was well-controlled in the Malaysian state of Sarawak. However, there was a surge in positive cases that began in January 2021 and affected all districts, including rural areas with limited health care. Because COVID-19 is extremely dangerous to human health, it is critical to investigate the spreading pattern at the district level. The COVID�19 socio-demographic factor is captured and extracted using Principal Component Analysis (PCA). The dependent variable in this study is COVID-19 cumulative cases and incidence rate while the independent variable is the socio-demographic factors. Because dispersion occurs at different gradient levels across geographies, the Geographically Weighted Regression (GWR) model is used in this study to investigate the relationship between socio-demographic and district-level COVID�19 cases. The finding in this study reveals that there is significant spatial and temporal variation in the spread of COVID-19 across the districts of Sarawak by using GWR. Two independent variables (pop_density and pop_0_14) influence most positively to COVID-19 cases. Universiti Malaysia Sarawak, (UNIMAS) 2023 Final Year Project Report NonPeerReviewed text en http://ir.unimas.my/id/eprint/44148/1/Fiona%20Teu%20Pui%20Jun%20%20ft.pdf Fiona, Teu Pui Jun (2023) EXPLORATION OF DISTRICT-WISE COVID-19 SPREAD IN SARAWAK USING GEOGRAPHICALLY WEIGHTED REGRESSION (GWR). [Final Year Project Report] (Unpublished) |
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QA75 Electronic computers. Computer science Fiona, Teu Pui Jun EXPLORATION OF DISTRICT-WISE COVID-19 SPREAD IN SARAWAK USING GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) |
description |
In the year 2020, the COVID-19 outbreak was well-controlled in the Malaysian state of
Sarawak. However, there was a surge in positive cases that began in January 2021 and affected all
districts, including rural areas with limited health care. Because COVID-19 is extremely dangerous
to human health, it is critical to investigate the spreading pattern at the district level. The COVID�19 socio-demographic factor is captured and extracted using Principal Component Analysis (PCA).
The dependent variable in this study is COVID-19 cumulative cases and incidence rate while the
independent variable is the socio-demographic factors. Because dispersion occurs at different
gradient levels across geographies, the Geographically Weighted Regression (GWR) model is used
in this study to investigate the relationship between socio-demographic and district-level COVID�19 cases. The finding in this study reveals that there is significant spatial and temporal variation in
the spread of COVID-19 across the districts of Sarawak by using GWR. Two independent variables
(pop_density and pop_0_14) influence most positively to COVID-19 cases. |
format |
Final Year Project Report |
author |
Fiona, Teu Pui Jun |
author_facet |
Fiona, Teu Pui Jun |
author_sort |
Fiona, Teu Pui Jun |
title |
EXPLORATION OF DISTRICT-WISE COVID-19 SPREAD IN SARAWAK USING
GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) |
title_short |
EXPLORATION OF DISTRICT-WISE COVID-19 SPREAD IN SARAWAK USING
GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) |
title_full |
EXPLORATION OF DISTRICT-WISE COVID-19 SPREAD IN SARAWAK USING
GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) |
title_fullStr |
EXPLORATION OF DISTRICT-WISE COVID-19 SPREAD IN SARAWAK USING
GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) |
title_full_unstemmed |
EXPLORATION OF DISTRICT-WISE COVID-19 SPREAD IN SARAWAK USING
GEOGRAPHICALLY WEIGHTED REGRESSION (GWR) |
title_sort |
exploration of district-wise covid-19 spread in sarawak using
geographically weighted regression (gwr) |
publisher |
Universiti Malaysia Sarawak, (UNIMAS) |
publishDate |
2023 |
url |
http://ir.unimas.my/id/eprint/44148/1/Fiona%20Teu%20Pui%20Jun%20%20ft.pdf http://ir.unimas.my/id/eprint/44148/ |
_version_ |
1789430366844485632 |
score |
13.18916 |