Consumption patterns, integrated food security phase classification, and the multifaceted nature of food insecurity in Sudan.
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| Title: | Consumption patterns, integrated food security phase classification, and the multifaceted nature of food insecurity in Sudan. |
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| Authors: | Fadol, Ahmed A. A.1 (AUTHOR), Tong, Guanggji1 (AUTHOR) wanghongshu88@outlook.com, Raza, Ali1 (AUTHOR), Mohamed, Wlaa M. A.2 (AUTHOR) |
| Source: | GeoJournal. Jun2024, Vol. 89 Issue 3, p1-22. 22p. |
| Abstract: | The ongoing conflict and economic deterioration have led to acute food insecurity for a significant proportion of the Sudanese population, as the Integrated Food Security Phase Classification (IPC) shows. This paper provides a comprehensive analysis of food insecurity in Sudan, focusing on consumption patterns and their impacts, using the IPC assessment framework. It is estimated that a significant number of people are currently in an emergency, while another large proportion is categorized under less severe but still extreme levels of hunger. In this study, we examine the multifaceted nature of food insecurity in Sudan, considering its historical, political, economic, and social dimensions. Consumption patterns and trends were analyzed, reflecting cultural influences, changes in diet, and demographic shifts. The central research question is to understand the key factors contributing to food insecurity in Sudan. This study fills a gap in the literature by using logistic regression and random forest analysis to assess food security, providing a unique perspective on this issue. Random forest outperforms logistic regression in terms of area under the curve (AUC), accuracy, precision, and recall. The model showed strong predictive abilities and confirmed that the independent variables analyzed significantly affect food security status. The chi-square test (94.85, p < 0.015, df = 20) confirmed the statistical significance of several factors, including gender, age, education, remittances, unemployment, inflation, assets, lack of money, and illness, as important determinants. In addition, IPC projections for Sudan suggest that 15 million people will face acute food insecurity at crisis level (IPC Phase 3) or worse between October 2023 and February 2024. These findings emphasize the urgent need for both short-term humanitarian assistance and long-term strategies to address the worsening food security crisis in Sudan. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
| FullText | Text: Availability: 0 |
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| Header | DbId: enr DbLabel: Energy & Power Source An: 176963397 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Consumption patterns, integrated food security phase classification, and the multifaceted nature of food insecurity in Sudan. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Fadol%2C+Ahmed+A%2E+A%2E%22">Fadol, Ahmed A. A.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Tong%2C+Guanggji%22">Tong, Guanggji</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> wanghongshu88@outlook.com</i><br /><searchLink fieldCode="AR" term="%22Raza%2C+Ali%22">Raza, Ali</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mohamed%2C+Wlaa+M%2E+A%2E%22">Mohamed, Wlaa M. A.</searchLink><relatesTo>2</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22GeoJournal%22">GeoJournal</searchLink>. Jun2024, Vol. 89 Issue 3, p1-22. 22p. – Name: Abstract Label: Abstract Group: Ab Data: The ongoing conflict and economic deterioration have led to acute food insecurity for a significant proportion of the Sudanese population, as the Integrated Food Security Phase Classification (IPC) shows. This paper provides a comprehensive analysis of food insecurity in Sudan, focusing on consumption patterns and their impacts, using the IPC assessment framework. It is estimated that a significant number of people are currently in an emergency, while another large proportion is categorized under less severe but still extreme levels of hunger. In this study, we examine the multifaceted nature of food insecurity in Sudan, considering its historical, political, economic, and social dimensions. Consumption patterns and trends were analyzed, reflecting cultural influences, changes in diet, and demographic shifts. The central research question is to understand the key factors contributing to food insecurity in Sudan. This study fills a gap in the literature by using logistic regression and random forest analysis to assess food security, providing a unique perspective on this issue. Random forest outperforms logistic regression in terms of area under the curve (AUC), accuracy, precision, and recall. The model showed strong predictive abilities and confirmed that the independent variables analyzed significantly affect food security status. The chi-square test (94.85, p < 0.015, df = 20) confirmed the statistical significance of several factors, including gender, age, education, remittances, unemployment, inflation, assets, lack of money, and illness, as important determinants. In addition, IPC projections for Sudan suggest that 15 million people will face acute food insecurity at crisis level (IPC Phase 3) or worse between October 2023 and February 2024. These findings emphasize the urgent need for both short-term humanitarian assistance and long-term strategies to address the worsening food security crisis in Sudan. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=176963397 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10708-024-11097-4 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 22 StartPage: 1 Titles: – TitleFull: Consumption patterns, integrated food security phase classification, and the multifaceted nature of food insecurity in Sudan. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Fadol, Ahmed A. A. – PersonEntity: Name: NameFull: Tong, Guanggji – PersonEntity: Name: NameFull: Raza, Ali – PersonEntity: Name: NameFull: Mohamed, Wlaa M. A. IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: Jun2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 03432521 Numbering: – Type: volume Value: 89 – Type: issue Value: 3 Titles: – TitleFull: GeoJournal Type: main |
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