Investigating Spatial Correlation Between COVID-19 Incidence and Poverty in Klaten Regency, Central Java

DOI

10.2991/978-94-6463-284-2_83How to use a DOI?

Keywords

Spatial autocorrelation; Bivariate Moran's; COVID-19; Poverty

Abstract

A health and financial crisis has been brought on by the COVID-19 pandemic. The tight restrictions put in place to stop the COVID-19 virus have affected and limited economic activity, resulting in a drop in per capita income and an increase in the population of the poor. This research aims to analyze the spatial pattern of COVID-19 incidence and poverty in the Klaten Regency and to examine the spatial correlation between COVID-19 incidence and poverty in the Klaten Regency. The study utilizes available secondary data and employs the Moran Index with the Queen Contiguity weighting matrix as the data processing technique. The data are analyzed using the Univariate Moran’s I and Bivariate Moran's I test with the GeoDa software. The results show that the spatial pattern of confirmed COVID-19 cases in the Klaten Regency is clustered, as is the spatial pattern of the quantity of poor people in the same region. Furthermore, the spatial correlation between the quantity of confirmed COVID-19 cases and the quantity of poor people in the Klaten Regency is negative (I = -0.063) and (I = -0.151), indicating that the high or low value of confirmed COVID-19 cases in the Klaten Regency does not resemble the value of poverty in the same region. Therefore, to address the increasing poverty in the Klaten Regency, a comprehensive vaccination program should be implemented in every sub-district to handle COVID-19, and data on the eligible poor population for social assistance due to the pandemic should be updated.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Choirul Amin
AU  - Bela Hidayah
AU  - Dewi Novita Sari
AU  - Kuswadji Dwi Priyono
AU  - Chintania Azahra Tantri Noermartanto
PY  - 2023
DA  - 2023/11/09
TI  - Investigating Spatial Correlation Between COVID-19 Incidence and Poverty in Klaten Regency, Central Java
BT  - Proceedings of the 4th Borobudur International Symposium on Science and Technology 2022 (BIS-STE 2022)
PB  - Atlantis Press
SP  - 775
EP  - 790
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-284-2_83
DO  - 10.2991/978-94-6463-284-2_83
ID  - Amin2023
ER  -