Distribution Mapping Of House Type, House Age And Sick Building Syndrome Among Work-From-Home Workers By Using A GIS-based Approach
Sick Building Syndrome (SBS) is a condition that commonly affects building occupants, and it is characterized by various symptoms related to the indoor climate, including indoor air quality, inadequate lighting, maintenance efficiency, and ventilation. This study aims to create distribution maps of...
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| Format: | Article |
| Language: | English |
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Malaysian Association of Environmental Health (MAEH)
2023
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| Online Access: | http://umpir.ump.edu.my/id/eprint/38881/ http://umpir.ump.edu.my/id/eprint/38881/1/Distribution%20Mapping%20Of%20House%20Type%2C%20House%20Age%20And%20Sick%20Building%20Syndrome%20Among%20Work-From-Home%20Workers%20By%20Using%20A%20GIS-based%20Approach.pdf |
| _version_ | 1848825623678550016 |
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| author | Nur Afrina Miza, Aziz Nasatioun Mohammad Adam, Adman Norsaffarina, Aziz Syarifuddin, Misbari |
| author_facet | Nur Afrina Miza, Aziz Nasatioun Mohammad Adam, Adman Norsaffarina, Aziz Syarifuddin, Misbari |
| author_sort | Nur Afrina Miza, Aziz Nasatioun |
| building | UMP Institutional Repository |
| collection | Online Access |
| description | Sick Building Syndrome (SBS) is a condition that commonly affects building occupants, and it is characterized by various symptoms related to the indoor climate, including indoor air quality, inadequate lighting, maintenance efficiency, and ventilation. This study aims to create distribution maps of housing infrastructure in Kuantan based on house type and house age and determine the prevalence of SBS among work-from-home (WFH) workers in the Kuantan study areas. A
geospatial-based approach was employed to visualize the distribution of the general SBS symptoms among 112 WFH workers using a questionnaire that combined the Swedish MM040 and ICOP2010 questionnaires. The results obtained from the geospatial distribution maps revealed that a significant number of WFH workers in Kuantan experienced SBS symptoms, and most of them resided in terrace houses that were more than ten years old. |
| first_indexed | 2025-11-15T03:31:52Z |
| format | Article |
| id | ump-38881 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T03:31:52Z |
| publishDate | 2023 |
| publisher | Malaysian Association of Environmental Health (MAEH) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | ump-388812023-10-16T03:04:38Z http://umpir.ump.edu.my/id/eprint/38881/ Distribution Mapping Of House Type, House Age And Sick Building Syndrome Among Work-From-Home Workers By Using A GIS-based Approach Nur Afrina Miza, Aziz Nasatioun Mohammad Adam, Adman Norsaffarina, Aziz Syarifuddin, Misbari HD61 Risk Management TA Engineering (General). Civil engineering (General) Sick Building Syndrome (SBS) is a condition that commonly affects building occupants, and it is characterized by various symptoms related to the indoor climate, including indoor air quality, inadequate lighting, maintenance efficiency, and ventilation. This study aims to create distribution maps of housing infrastructure in Kuantan based on house type and house age and determine the prevalence of SBS among work-from-home (WFH) workers in the Kuantan study areas. A geospatial-based approach was employed to visualize the distribution of the general SBS symptoms among 112 WFH workers using a questionnaire that combined the Swedish MM040 and ICOP2010 questionnaires. The results obtained from the geospatial distribution maps revealed that a significant number of WFH workers in Kuantan experienced SBS symptoms, and most of them resided in terrace houses that were more than ten years old. Malaysian Association of Environmental Health (MAEH) 2023 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/38881/1/Distribution%20Mapping%20Of%20House%20Type%2C%20House%20Age%20And%20Sick%20Building%20Syndrome%20Among%20Work-From-Home%20Workers%20By%20Using%20A%20GIS-based%20Approach.pdf Nur Afrina Miza, Aziz Nasatioun and Mohammad Adam, Adman and Norsaffarina, Aziz and Syarifuddin, Misbari (2023) Distribution Mapping Of House Type, House Age And Sick Building Syndrome Among Work-From-Home Workers By Using A GIS-based Approach. MAEH Journal of Environmental Health, 5 (1). pp. 16-18. ISSN 2637-1359. (Published) https://jurnal.maeh4u.org.my/index.php/home/article/view/54 |
| spellingShingle | HD61 Risk Management TA Engineering (General). Civil engineering (General) Nur Afrina Miza, Aziz Nasatioun Mohammad Adam, Adman Norsaffarina, Aziz Syarifuddin, Misbari Distribution Mapping Of House Type, House Age And Sick Building Syndrome Among Work-From-Home Workers By Using A GIS-based Approach |
| title | Distribution Mapping Of House Type, House Age And Sick Building Syndrome Among Work-From-Home Workers By Using A GIS-based Approach |
| title_full | Distribution Mapping Of House Type, House Age And Sick Building Syndrome Among Work-From-Home Workers By Using A GIS-based Approach |
| title_fullStr | Distribution Mapping Of House Type, House Age And Sick Building Syndrome Among Work-From-Home Workers By Using A GIS-based Approach |
| title_full_unstemmed | Distribution Mapping Of House Type, House Age And Sick Building Syndrome Among Work-From-Home Workers By Using A GIS-based Approach |
| title_short | Distribution Mapping Of House Type, House Age And Sick Building Syndrome Among Work-From-Home Workers By Using A GIS-based Approach |
| title_sort | distribution mapping of house type, house age and sick building syndrome among work-from-home workers by using a gis-based approach |
| topic | HD61 Risk Management TA Engineering (General). Civil engineering (General) |
| url | http://umpir.ump.edu.my/id/eprint/38881/ http://umpir.ump.edu.my/id/eprint/38881/ http://umpir.ump.edu.my/id/eprint/38881/1/Distribution%20Mapping%20Of%20House%20Type%2C%20House%20Age%20And%20Sick%20Building%20Syndrome%20Among%20Work-From-Home%20Workers%20By%20Using%20A%20GIS-based%20Approach.pdf |