Settlement Mapping for Population Density Modelling in Disease Risk Spatial Analysis

Mirza Alim Mutasodirin, Rafi Dwi Rizqullah, Andie Setiyoko, Aniati Murni Arymurthy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In disease risk spatial analysis, many researchers especially in Indonesia are still modelling population density as the ratio of total population to administrative area extent. This model oversimplifies the problem, because it covers large uninhabited areas, while the model should focus on inhabited areas. This study uses settlement mapping against satellite imagery to focus the model and calculate settlement area extent. As far as our search goes, we did not find any specific studies comparing the use of settlement mapping with administrative area to model population density in computing its correlation to a disease case rate. This study investigates the comparison of both models using data on Tuberculosis (TB) case rate in Central and East Java Indonesia. Our study shows that using administrative area density the Spearman's $\rho$ was considered as 'Fair' $(0.566, p < 0.01)$ and using settlement density was 'Mod-erately Strong' $(0.673, p < 0.01)$. The difference is significant according to Hotelling's t test. By this result we are encouraging researchers to use settlement mapping to improve population density modelling in disease risk spatial analysis. Resources used by and resulting from this work are publicly available at https://github.com/mirzaalimm/PopulationDensityVsDisease.

Original languageEnglish
Title of host publicationProceedings - IWBIS 2021
Subtitle of host publication6th International Workshop on Big Data and Information Security
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages73-80
Number of pages8
ISBN (Electronic)9781665424516
DOIs
Publication statusPublished - 2021
Event6th International Workshop on Big Data and Information Security, IWBIS 2021 - Virtual, Online, Indonesia
Duration: 23 Oct 202126 Oct 2021

Publication series

NameProceedings - IWBIS 2021: 6th International Workshop on Big Data and Information Security

Conference

Conference6th International Workshop on Big Data and Information Security, IWBIS 2021
Country/TerritoryIndonesia
CityVirtual, Online
Period23/10/2126/10/21

Keywords

  • disease risk
  • indonesia
  • population density
  • settlement density
  • settlement map

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