Multilevel Pathways of Rural and Urban Poverty as Determinants of Childhood Undernutrition in the Philippines

Van, Vanessa T. Siy; Sales, Zarah G.; Gordoncillo, Normahitta P.; Advincula-Lopez, Leslie; Sescon, Joselito T.; Miro, Eden Delight

doi:10.1080/10875549.2021.2011818

Cited by 4 publications

(2 citation statements)

References 25 publications

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“…Although LGUs could implement SFPs independently, partnering with DepEd and other NGAs augments financial resources and opportunities for synergy with other health policies, such as micronutrient fortification and health examinations. 64 …”

Section: Discussionmentioning

confidence: 99%

A Community-Led Central Kitchen Model for School Feeding Programs in the Philippines: Learnings for Multisectoral Action for Health

Van

Siguin

Lacsina

et al. 2022

Glob Health Sci Pract

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Combining the logistics of a centralized in-school program with decentralized implementation to improve the diets and nutritional status of school-age children, a community-supported central kitchen model prepared and packed meals for schools.n The model's success was attributed to financial sustainability institutionalized at the national level through laws, operational sustainability maintained by local government units (LGUs), strong community support, mobilization from volunteers, and embedding of the program in the city's and municipalities' social networks.n Community involvement in central kitchen operations translated into volunteer accountability and program ownership that organized local interests and enabled community members to demand related health, education, and social services from their local elected officials, contributing to their sustained interest in participating in the program.

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Section: Discussionmentioning

confidence: 99%

A Community-Led Central Kitchen Model for School Feeding Programs in the Philippines: Learnings for Multisectoral Action for Health

Van

Siguin

Lacsina

et al. 2022

Glob Health Sci Pract

Self Cite

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“…The cities of the 21st century are facing significant challenges, one of the most important of which is the concentration of poverty in them. Urban poverty is a multi-dimensional phenomenon, and urban dwellers, due to many deprivations, among them, lack of access to employment opportunities, housing, and suitable infrastructure, lack of social security, and access to health, education, and personal security, are suffering and distress (Siy Van et al, 2024). Urban poverty is not limited to the mentioned characteristics and refers to unstable conditions leading to vulnerability and inability to face harm.…”

Section: Introductionmentioning

confidence: 99%

Empowering local communities with strategies for monitoring and eliminating poverty in urban areas (Case study, District 9 of Tehran)

Isazade,

Abdelkhair,

Isazade

et al. 2024

Preprint

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Usually, developing countries use the capacity of governments and municipalities to provide appropriate services to the population. This category will increase poverty in cities and urban areas. This article aims to empower local communities with strategies to monitor and eliminate poverty in the neighborhoods of District 9 of Tehran. In this paper, we used the four geographic models in ArcGIS 10.3 for the spatial analysis and assessment of poverty, which includes Getis-OrdGi* (G-i-star) statistics (hot and cold spots), Moran's spatial autocorrelation, Vikor model and SWOT. First, from the economic, sociocultural, and physical indicators, urban poverty was identified at the neighborhood level in District 9 of Tehran. A quantitative model (Vikor) was used to rank the indicators. Getis-OrdGi* (G-i-star) (hot and cold spots) was used to display and spatially analyze urban poverty at the locality level of District 9. In addition, using the QSPM model, internal and external strategies of urban areas were identified. Moran's spatial autocorrelation was used to correlate the indicators. After placing the target locations, the SWOT technique was used to present the strengths and weaknesses of the target locations. The results showed the highest correlation between sociocultural indicators and urban poverty is in the southern neighborhoods of District 9 of Tehran, which corresponds to South Mehrabad, Shamshiry, South Sarasiab, and part of the Imamzadeh Abdullah neighborhood. In addition, due to high population density, immigration, and low land prices, the impact of the socio-cultural index on urban poverty in the north of District 9 has increased with a confidence level of 99%. While the hot spots of the economic dimension of poverty are at the level of districts of District 9 of Tehran, the southern and southeastern districts due to unemployment, high rent, and low household income, economic poverty clusters have been formed in terms of spatial autocorrelation, Moran's Index is 0/026180 showed. However, in the spatial distribution of poverty in terms of the physical dimension at the level of neighborhoods in District 9 of Tehran, nearly 10% of the neighborhoods have the worst poverty level. Only the Shamshiry neighborhood has the lowest per capita commercial, sports, and health facilities among the neighborhoods. Regarding Moran's spatial autocorrelation pattern, Moran's index and Z-score in the Shamshiri neighborhood showed 0.007270 and 4/224861, respectively. In addition, people's and non-governmental organizations are essential and effective strategies for monitoring and eliminating poverty at the level of target neighborhoods.

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Using machine learning algorithms to determine the food insecurity level of households of public school children

Cruz,

Gallegos,

Gattud

et al. 2024

The 7TH BIOMEDICAL ENGINEERING’S RECENT PROGRESS IN BIOMATERIALS, DRUGS DEVELOPMENT, AND MEDICAL DEVICES: The 15th Asian Congre

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Multilevel Pathways of Rural and Urban Poverty as Determinants of Childhood Undernutrition in the Philippines

Cited by 4 publications

References 25 publications

A Community-Led Central Kitchen Model for School Feeding Programs in the Philippines: Learnings for Multisectoral Action for Health

A Community-Led Central Kitchen Model for School Feeding Programs in the Philippines: Learnings for Multisectoral Action for Health

Empowering local communities with strategies for monitoring and eliminating poverty in urban areas (Case study, District 9 of Tehran)

Using machine learning algorithms to determine the food insecurity level of households of public school children

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