Pitch and Flat Roof Factors’ Association with Spatiotemporal Patterns of Dengue Disease Analysed Using Pan-Sharpened Worldview 2 Imagery

Rinawan, Fedri Ruluwedrata; Tateishi, Ryosuke; Raksanagara, Ardini; Agustian, Dwi; Alsaaideh, Bayan; Natalia, Yessika Adelwin; Raksanagara, Ahyani

doi:10.3390/ijgi4042586

Cited by 3 publications

(1 citation statement)

References 43 publications

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“…Previous research provided healthcare data with geographical information system (GIS) [15][16][17], and other research depicted environmental health analysis also using GIS [18]. According to International Organization for standardization, mapping geographical data quality comprises categories such as completeness, logical consistency, positional and thematical accuracy, and temporal quality [19].…”

Section: Introductionmentioning

confidence: 99%

Posyandu Application for Monitoring Children Under-Five: A 3-Year Data Quality Map in Indonesia

Rinawan

Faza

Susanti

et al. 2022

IJGI

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Posyandu is an Indonesian mother-child health, community-based healthcare. The provision of the Posyandu data quality map is crucial for analyzing results but is limited. This research aimed to (a) demonstrate data quality analysis on its completeness, accuracy, and consistency and (b) map the data quality in Indonesia for evaluation and improvement. An observational study was conducted using the Posyandu application. We observed data in Indonesia from 2019 to 2021. Data completeness was identified using children’s visits/year. Data accuracy was analyzed using WHO anthropometry z-score and implausible z-score values analyzing the outliers. Cronbach’s α of variables was used to know data consistency. STATA 15.1 SE and QGIS 3.10 was used to analyze and map the quality. Data completeness and accuracy in three years show a good start for the pilot project area, continued with declines in pandemic time, while some other areas demonstrated a small start, then slightly increased. The overall consistency decreased through the study period. A good report on data completeness can occur initially in a pilot project area, followed by others. Data accuracy and consistency can decrease during the pandemic. The app can be promising when synchronized with the government health information system.

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Section: Introductionmentioning

confidence: 99%

Posyandu Application for Monitoring Children Under-Five: A 3-Year Data Quality Map in Indonesia

Rinawan

Faza

Susanti

et al. 2022

IJGI

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Community Movement in Applying Mosquito Net on House Ventilations: An Initial Support for Green Architecture to Decrease Dengue Disease in Bandung Indonesia

Rinawan

Dewi

Haifa

et al. 2017

IOP Conf. Ser.: Earth Environ. Sci.

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A Mapping Review on Urban Landscape Factors of Dengue Retrieved from Earth Observation Data, GIS Techniques, and Survey Questionnaires

Marti

Catry

et al. 2020

Remote Sensing

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To date, there is no effective treatment to cure dengue fever, a mosquito-borne disease which has a major impact on human populations in tropical and sub-tropical regions. Although the characteristics of dengue infection are well known, factors associated with landscape are highly scale dependent in time and space, and therefore difficult to monitor. We propose here a mapping review based on 78 articles that study the relationships between landscape factors and urban dengue cases considering household, neighborhood and administrative levels. Landscape factors were retrieved from survey questionnaires, Geographic Information Systems (GIS), and remote sensing (RS) techniques. We structured these into groups composed of land cover, land use, and housing type and characteristics, as well as subgroups referring to construction material, urban typology, and infrastructure level. We mapped the co-occurrence networks associated with these factors, and analyzed their relevance according to a three-valued interpretation (positive, negative, non significant). From a methodological perspective, coupling RS and GIS techniques with field surveys including entomological observations should be systematically considered, as none digital land use or land cover variables appears to be an univocal determinant of dengue occurrences. Remote sensing urban mapping is however of interest to provide a geographical frame to distribute human population and movement in relation to their activities in the city, and as spatialized input variables for epidemiological and entomological models.

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Pitch and Flat Roof Factors’ Association with Spatiotemporal Patterns of Dengue Disease Analysed Using Pan-Sharpened Worldview 2 Imagery

Cited by 3 publications

References 43 publications

Posyandu Application for Monitoring Children Under-Five: A 3-Year Data Quality Map in Indonesia

Posyandu Application for Monitoring Children Under-Five: A 3-Year Data Quality Map in Indonesia

Community Movement in Applying Mosquito Net on House Ventilations: An Initial Support for Green Architecture to Decrease Dengue Disease in Bandung Indonesia

A Mapping Review on Urban Landscape Factors of Dengue Retrieved from Earth Observation Data, GIS Techniques, and Survey Questionnaires

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