A review of spatial analysis application in childhood malnutrition studies
Approximately 230 million children under 5 years old of age suffer from malnutrition and over half of the children below 5 years old deaths are due to malnutrition nowadays. To gain a better understanding of this problem, the application of spatial analysis has risen exponentially in recent years. I...
| Main Authors: | , , , , , |
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| Format: | Article |
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Penerbit Universiti Sains Malaysia
2022
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| Online Access: | http://psasir.upm.edu.my/id/eprint/100360/ |
| _version_ | 1848863304469970944 |
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| author | Shamsuddin, Aida Soraya Mohd Abu Bakar, Wan Azdie Syed Ismail, Sharifah Norkhadijah Jaafar, Nurul Hazirah Mohd Yassin, Wardah Norhizat, Maisarah |
| author_facet | Shamsuddin, Aida Soraya Mohd Abu Bakar, Wan Azdie Syed Ismail, Sharifah Norkhadijah Jaafar, Nurul Hazirah Mohd Yassin, Wardah Norhizat, Maisarah |
| author_sort | Shamsuddin, Aida Soraya |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Approximately 230 million children under 5 years old of age suffer from malnutrition and over half of the children below 5 years old deaths are due to malnutrition nowadays. To gain a better understanding of this problem, the application of spatial analysis has risen exponentially in recent years. In this review, the present state of information on the use of spatial analysis in childhood malnutrition studies was evaluated using four databases of digital scientific journals: ScienceDirect, Scopus, PubMed and CINAHL. We chose 2,278 articles from the search results and a total of 27 articles met our criteria for review. The following information was extracted from each article: objective of study, study area, types of malnutrition, subject, data sources, computer software packages, spatial analysis and factors associated with childhood malnutrition. A total of 10 spatial analysis methods were reported in the reviewed articles and the Bayesian geoadditive regression model was the most common method applied in childhood malnutrition studies. This review highlights the importance of the application of spatial analysis in determining the geographic distribution of malnutrition cases, hotspot areas and risk factors correlated with childhood malnutrition. It also provides implications for strategic initiatives to eradicate all forms of malnutrition. |
| first_indexed | 2025-11-15T13:30:47Z |
| format | Article |
| id | upm-100360 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-15T13:30:47Z |
| publishDate | 2022 |
| publisher | Penerbit Universiti Sains Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1003602023-12-28T03:27:00Z http://psasir.upm.edu.my/id/eprint/100360/ A review of spatial analysis application in childhood malnutrition studies Shamsuddin, Aida Soraya Mohd Abu Bakar, Wan Azdie Syed Ismail, Sharifah Norkhadijah Jaafar, Nurul Hazirah Mohd Yassin, Wardah Norhizat, Maisarah Approximately 230 million children under 5 years old of age suffer from malnutrition and over half of the children below 5 years old deaths are due to malnutrition nowadays. To gain a better understanding of this problem, the application of spatial analysis has risen exponentially in recent years. In this review, the present state of information on the use of spatial analysis in childhood malnutrition studies was evaluated using four databases of digital scientific journals: ScienceDirect, Scopus, PubMed and CINAHL. We chose 2,278 articles from the search results and a total of 27 articles met our criteria for review. The following information was extracted from each article: objective of study, study area, types of malnutrition, subject, data sources, computer software packages, spatial analysis and factors associated with childhood malnutrition. A total of 10 spatial analysis methods were reported in the reviewed articles and the Bayesian geoadditive regression model was the most common method applied in childhood malnutrition studies. This review highlights the importance of the application of spatial analysis in determining the geographic distribution of malnutrition cases, hotspot areas and risk factors correlated with childhood malnutrition. It also provides implications for strategic initiatives to eradicate all forms of malnutrition. Penerbit Universiti Sains Malaysia 2022 Article PeerReviewed Shamsuddin, Aida Soraya and Mohd Abu Bakar, Wan Azdie and Syed Ismail, Sharifah Norkhadijah and Jaafar, Nurul Hazirah and Mohd Yassin, Wardah and Norhizat, Maisarah (2022) A review of spatial analysis application in childhood malnutrition studies. Malaysian Journal of Medical Sciences, 29 (5). 24 - 38. ISSN 1394-195X; ESSN: 2180-4303 http://www.mjms.usm.my/MJMSvol29no5.html 10.21315/mjms2022.29.5.4 |
| spellingShingle | Shamsuddin, Aida Soraya Mohd Abu Bakar, Wan Azdie Syed Ismail, Sharifah Norkhadijah Jaafar, Nurul Hazirah Mohd Yassin, Wardah Norhizat, Maisarah A review of spatial analysis application in childhood malnutrition studies |
| title | A review of spatial analysis application in childhood malnutrition studies |
| title_full | A review of spatial analysis application in childhood malnutrition studies |
| title_fullStr | A review of spatial analysis application in childhood malnutrition studies |
| title_full_unstemmed | A review of spatial analysis application in childhood malnutrition studies |
| title_short | A review of spatial analysis application in childhood malnutrition studies |
| title_sort | review of spatial analysis application in childhood malnutrition studies |
| url | http://psasir.upm.edu.my/id/eprint/100360/ http://psasir.upm.edu.my/id/eprint/100360/ http://psasir.upm.edu.my/id/eprint/100360/ |