Predictions of PM2.5 using air pollutants and meteorological factors with COVID-19 cases in Malaysia and Indonesia: a comparative study using feature selection and robust regression
The study examines the relationship between air quality, meteorological factors, and COVID-19 cases in Cheras, Kuala Lumpur, and Kelapa Gading, North Jakarta. Analyzing data from 2020 and 2021, the research found notable correlations: COVID-19 cases in Cheras were positively associated with relative...
| Main Authors: | , , , , |
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| Format: | Article |
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Taylor and Francis Ltd.
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/113951/ |
| _version_ | 1848866364437037056 |
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| author | Salsabila, Norin Binta Jalaludin, Juliana Suhaimi, Nur Faseeha Wan Mansor, Wan Nurdiyana Sumantri, Arif |
| author_facet | Salsabila, Norin Binta Jalaludin, Juliana Suhaimi, Nur Faseeha Wan Mansor, Wan Nurdiyana Sumantri, Arif |
| author_sort | Salsabila, Norin Binta |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | The study examines the relationship between air quality, meteorological factors, and COVID-19 cases in Cheras, Kuala Lumpur, and Kelapa Gading, North Jakarta. Analyzing data from 2020 and 2021, the research found notable correlations: COVID-19 cases in Cheras were positively associated with relative humidity (RH) and carbon monoxide (CO) but negatively with ozone (O₃) and RH in different years. In Kelapa Gading, COVID-19 cases were positively correlated with pollutants like sulfur dioxide (SO₂) and CO, while ambient temperature (AT) showed a negative correlation. The enforcement of social restrictions notably reduced air pollution, affecting COVID-19 spread. Predictive models for PM2.5 levels using robust regression techniques showed strong performance in Kuala Lumpur (R² > 0.9) but exhibited overfitting tendencies in Jakarta, suggesting the need for a longer study period for more accurate results. |
| first_indexed | 2025-11-15T14:19:26Z |
| format | Article |
| id | upm-113951 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T14:19:26Z |
| publishDate | 2024 |
| publisher | Taylor and Francis Ltd. |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1139512025-02-05T07:31:08Z http://psasir.upm.edu.my/id/eprint/113951/ Predictions of PM2.5 using air pollutants and meteorological factors with COVID-19 cases in Malaysia and Indonesia: a comparative study using feature selection and robust regression Salsabila, Norin Binta Jalaludin, Juliana Suhaimi, Nur Faseeha Wan Mansor, Wan Nurdiyana Sumantri, Arif The study examines the relationship between air quality, meteorological factors, and COVID-19 cases in Cheras, Kuala Lumpur, and Kelapa Gading, North Jakarta. Analyzing data from 2020 and 2021, the research found notable correlations: COVID-19 cases in Cheras were positively associated with relative humidity (RH) and carbon monoxide (CO) but negatively with ozone (O₃) and RH in different years. In Kelapa Gading, COVID-19 cases were positively correlated with pollutants like sulfur dioxide (SO₂) and CO, while ambient temperature (AT) showed a negative correlation. The enforcement of social restrictions notably reduced air pollution, affecting COVID-19 spread. Predictive models for PM2.5 levels using robust regression techniques showed strong performance in Kuala Lumpur (R² > 0.9) but exhibited overfitting tendencies in Jakarta, suggesting the need for a longer study period for more accurate results. Taylor and Francis Ltd. 2024-08 Article PeerReviewed Salsabila, Norin Binta and Jalaludin, Juliana and Suhaimi, Nur Faseeha and Wan Mansor, Wan Nurdiyana and Sumantri, Arif (2024) Predictions of PM2.5 using air pollutants and meteorological factors with COVID-19 cases in Malaysia and Indonesia: a comparative study using feature selection and robust regression. International Journal of Environmental Health Research. pp. 1-22. ISSN 0960-3123; eISSN: 1369-1619 https://www.tandfonline.com/doi/full/10.1080/09603123.2024.2390479 10.1080/09603123.2024.2390479 |
| spellingShingle | Salsabila, Norin Binta Jalaludin, Juliana Suhaimi, Nur Faseeha Wan Mansor, Wan Nurdiyana Sumantri, Arif Predictions of PM2.5 using air pollutants and meteorological factors with COVID-19 cases in Malaysia and Indonesia: a comparative study using feature selection and robust regression |
| title | Predictions of PM2.5 using air pollutants and meteorological factors with COVID-19 cases in Malaysia and Indonesia: a comparative study using feature selection and robust regression |
| title_full | Predictions of PM2.5 using air pollutants and meteorological factors with COVID-19 cases in Malaysia and Indonesia: a comparative study using feature selection and robust regression |
| title_fullStr | Predictions of PM2.5 using air pollutants and meteorological factors with COVID-19 cases in Malaysia and Indonesia: a comparative study using feature selection and robust regression |
| title_full_unstemmed | Predictions of PM2.5 using air pollutants and meteorological factors with COVID-19 cases in Malaysia and Indonesia: a comparative study using feature selection and robust regression |
| title_short | Predictions of PM2.5 using air pollutants and meteorological factors with COVID-19 cases in Malaysia and Indonesia: a comparative study using feature selection and robust regression |
| title_sort | predictions of pm2.5 using air pollutants and meteorological factors with covid-19 cases in malaysia and indonesia: a comparative study using feature selection and robust regression |
| url | http://psasir.upm.edu.my/id/eprint/113951/ http://psasir.upm.edu.my/id/eprint/113951/ http://psasir.upm.edu.my/id/eprint/113951/ |