2022
DOI: 10.1007/978-981-16-8515-6_34
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Spatial Panel Data Modelling of COVID-19 Spreading at District Level in Sarawak, Malaysia

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Cited by 2 publications
(2 citation statements)
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“…Although several spatial modelling and regression studies had been conducted at the district level in Malaysia [ 30 32 ], they only investigated the diseases evolution until February 2021. Therefore, this present study not only extends our previous work [ 33 ] on Sarawak by analyzing four different temporal periods throughout 2021, but also considers several potential socio-demographic indicators suggested in previous work [ 31 ].…”
Section: Introductionmentioning
confidence: 69%
“…Although several spatial modelling and regression studies had been conducted at the district level in Malaysia [ 30 32 ], they only investigated the diseases evolution until February 2021. Therefore, this present study not only extends our previous work [ 33 ] on Sarawak by analyzing four different temporal periods throughout 2021, but also considers several potential socio-demographic indicators suggested in previous work [ 31 ].…”
Section: Introductionmentioning
confidence: 69%
“…Although several spatiotemporal modeling on district-wise aggregated COVID-19 data were carried out in Malaysia [18][19][20] and specifically for Sarawak [21], to our best knowledge, no such geo-visualization and geospatial analysis were performed for COVID-19 exposed location point data within a division in Sarawak. Motivated by several studies on examining the distribution of the contagion by COVID-19 in urban environments of a city in Spain [22] and China [23] using authentic but anonymized microdata of infected people, this paper illustrates the utility of QGIS on geospatial visualization and analysis for the communication of publicly available COVID-19 exposed location data in Kuching, Sarawak.…”
Section: Introductionmentioning
confidence: 99%