Investigating Indoor Air Quality (IAQ) and sick building Syndrome Symptoms (SBSS) using generalized linear model / Amalina Abu Mansor ... [et al.]
Prediction of Indoor Air Quality and Sick Buildings Syndrome Symptoms (SBSS) was developed to predict the relative humidity (RH) inside the building. The developed generalized linear model (GLM) model consider relative humidity as dependent variables and independent variables consists of Indoor Air...
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| Format: | Article |
| Language: | en |
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Faculty of Health Sciences, Universiti Teknologi MARA
2023
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| Online Access: | https://ir.uitm.edu.my/id/eprint/87570/1/87570.pdf https://ir.uitm.edu.my/id/eprint/87570/ http://healthscopefsk.com/ |
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| _version_ | 1833079304458600448 |
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| author | Abu Mansor, Amalina Abdullah, Samsuri Ahmad, Aimi Nursyahirah Ismail, Nurul Ain Ismail, Marzuki |
| author_facet | Abu Mansor, Amalina Abdullah, Samsuri Ahmad, Aimi Nursyahirah Ismail, Nurul Ain Ismail, Marzuki |
| author_sort | Abu Mansor, Amalina |
| building | Tun Abdul Razak Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Mara |
| content_source | UiTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Prediction of Indoor Air Quality and Sick Buildings Syndrome Symptoms (SBSS) was developed to predict the relative humidity (RH) inside the building. The developed generalized linear model (GLM) model consider relative humidity as dependent variables and independent variables consists of Indoor Air Quality Parameters (IAQ) such as ventilation performance indicator, physical and chemical parameters besides present SBSS. Primary data was collected, and distribution of questionnaires was conducted at the same time. Three models were developed which named Model A, Model B and Model C. A logarithmic link function was considered with a Poison probability distribution. Particular attention was dedicated to cases with Relative Humidity<mean (Model A), Relative Humidity mean range (Model B) and Relative Humidity >mean (Model C). Results indicate that best performance was Model A which outperformed Model B and Model C. It showed that there were a few contributions of SBS and IAQ towards RH inside the building such as dizziness, drowsiness, heavy headed, headache, temperature and PM10 . This study showed that Model A (R2 = 96.8%) outstand Model B (86.9%) and Model C (93.5%) due to the data collected mostly distribute lower than mean value of RH. |
| format | Article |
| id | my.uitm.ir-87570 |
| institution | Universiti Teknologi Mara |
| language | en |
| publishDate | 2023 |
| publisher | Faculty of Health Sciences, Universiti Teknologi MARA |
| record_format | eprints |
| spelling | my.uitm.ir-875702023-12-13T14:56:22Z https://ir.uitm.edu.my/id/eprint/87570/ Investigating Indoor Air Quality (IAQ) and sick building Syndrome Symptoms (SBSS) using generalized linear model / Amalina Abu Mansor ... [et al.] healthscope Abu Mansor, Amalina Abdullah, Samsuri Ahmad, Aimi Nursyahirah Ismail, Nurul Ain Ismail, Marzuki Special types of environment. Including soil pollution, air pollution, noise pollution Prediction of Indoor Air Quality and Sick Buildings Syndrome Symptoms (SBSS) was developed to predict the relative humidity (RH) inside the building. The developed generalized linear model (GLM) model consider relative humidity as dependent variables and independent variables consists of Indoor Air Quality Parameters (IAQ) such as ventilation performance indicator, physical and chemical parameters besides present SBSS. Primary data was collected, and distribution of questionnaires was conducted at the same time. Three models were developed which named Model A, Model B and Model C. A logarithmic link function was considered with a Poison probability distribution. Particular attention was dedicated to cases with Relative Humidity<mean (Model A), Relative Humidity mean range (Model B) and Relative Humidity >mean (Model C). Results indicate that best performance was Model A which outperformed Model B and Model C. It showed that there were a few contributions of SBS and IAQ towards RH inside the building such as dizziness, drowsiness, heavy headed, headache, temperature and PM10 . This study showed that Model A (R2 = 96.8%) outstand Model B (86.9%) and Model C (93.5%) due to the data collected mostly distribute lower than mean value of RH. Faculty of Health Sciences, Universiti Teknologi MARA 2023-11 Article PeerReviewed text en https://ir.uitm.edu.my/id/eprint/87570/1/87570.pdf Investigating Indoor Air Quality (IAQ) and sick building Syndrome Symptoms (SBSS) using generalized linear model / Amalina Abu Mansor ... [et al.]. (2023) Healthscope <https://ir.uitm.edu.my/view/publication/Healthscope/>, 6 (1). pp. 23-30. ISSN 2735-0649 http://healthscopefsk.com/ |
| spellingShingle | Special types of environment. Including soil pollution, air pollution, noise pollution Abu Mansor, Amalina Abdullah, Samsuri Ahmad, Aimi Nursyahirah Ismail, Nurul Ain Ismail, Marzuki Investigating Indoor Air Quality (IAQ) and sick building Syndrome Symptoms (SBSS) using generalized linear model / Amalina Abu Mansor ... [et al.] |
| title | Investigating Indoor Air Quality (IAQ) and sick building Syndrome Symptoms (SBSS) using generalized linear model / Amalina Abu Mansor ... [et al.] |
| title_full | Investigating Indoor Air Quality (IAQ) and sick building Syndrome Symptoms (SBSS) using generalized linear model / Amalina Abu Mansor ... [et al.] |
| title_fullStr | Investigating Indoor Air Quality (IAQ) and sick building Syndrome Symptoms (SBSS) using generalized linear model / Amalina Abu Mansor ... [et al.] |
| title_full_unstemmed | Investigating Indoor Air Quality (IAQ) and sick building Syndrome Symptoms (SBSS) using generalized linear model / Amalina Abu Mansor ... [et al.] |
| title_short | Investigating Indoor Air Quality (IAQ) and sick building Syndrome Symptoms (SBSS) using generalized linear model / Amalina Abu Mansor ... [et al.] |
| title_sort | investigating indoor air quality (iaq) and sick building syndrome symptoms (sbss) using generalized linear model / amalina abu mansor ... [et al.] |
| topic | Special types of environment. Including soil pollution, air pollution, noise pollution |
| url | https://ir.uitm.edu.my/id/eprint/87570/1/87570.pdf https://ir.uitm.edu.my/id/eprint/87570/ http://healthscopefsk.com/ |
| url_provider | http://ir.uitm.edu.my/ |