Relationship the physical quality of residential environment with Acute Respiratory Infections (ARI) in toddlers at West Semarang sub-district in 2019 using high resolution remote sensing image

Dewi, N.A. and Widayani, P. (2021) Relationship the physical quality of residential environment with Acute Respiratory Infections (ARI) in toddlers at West Semarang sub-district in 2019 using high resolution remote sensing image. In: The International Conference on Smart and Innovative Agriculture, 4-5 November 2020, Yogyakarta.

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Abstract

ARI is an acute infectious disease that attacks one or more parts of the airways from the nose to the alveoli. Toddlers who tend to be static, reflecting the physical quality of the environment in which they live. This study aims to: (1) map the physical quality of the residential environment from high-resolution remote sensing images; and (2) knowing relationship between the physical quality of residential environment and ARI cases in toddlers. The method used to map the physical quality of residential environment is the Spatial Multi Criteria Evaluation (SMCE) and Pearson Correlation method used to determine the relation between the physical quality of residential environment and ARI cases. The results of the image interpretation accuracy test are 90.96, which indicates that remote sensing images can be used to extract data on the physical quality of residential environments that have an effect on ARI disease. Pearson correlation test result is 0.454 which indicates a moderate relationship. Analysis of the distribution pattern of ARI in toddlers with Nearest Neighbor Analysis resulted in a ratio value of 0.48; the z-score value is -22.6 and the p-value is 0.0, which means that the pattern of ARI in toddlers in West Semarang is clustered. © Published under licence by IOP Publishing Ltd.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Cited by: 0; Conference name: 2020 International Conference on Smart and Innovative Agriculture, ICoSIA 2020; Conference date: 4 November 2020 through 5 November 2020; Conference code: 168246; All Open Access, Gold Open Access
Uncontrolled Keywords: Agriculture; Correlation methods; Houses; Remote sensing; Distribution patterns; High resolution remote sensing images; Image interpretation; Multi-criteria evaluation; Nearest neighbor analysis; Pearson correlation methods; Remote sensing images; Residential environment; Quality control
Subjects: G Geography. Anthropology. Recreation > GB Physical geography
Divisions: Faculty of Geography > Departemen Sains Informasi Geografi
Depositing User: Sri JUNANDI
Date Deposited: 30 Aug 2024 03:56
Last Modified: 30 Aug 2024 03:56
URI: https://ir.lib.ugm.ac.id/id/eprint/5387

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