THE CORRELATION OF SOCIOECONOMIC AND MOBILITY FACTORS ON COVID-19 MORBIDITY IN SEMARANG CITY
Semarang City as the capital of Central Java Province contributes a fairly high number of cases of the COVID-19 virus. This study used a sample of the number of COVID-19 case data in 16 sub-districts in Semarang City. The sampling technique used is purposive sampling with a period of 3 months, namel...
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| Format: | Article |
| Language: | English |
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Universitas Airlangga
2022-11-01
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| Series: | Jurnal Biometrika dan Kependudukan |
| Subjects: | |
| Online Access: | https://e-journal.unair.ac.id/JBK/article/view/33414 |
| _version_ | 1797799960603787264 |
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| author | Budi Aji Purwoko Chotib Chotib Lin Yola |
| author_facet | Budi Aji Purwoko Chotib Chotib Lin Yola |
| author_sort | Budi Aji Purwoko |
| collection | DOAJ |
| description | Semarang City as the capital of Central Java Province contributes a fairly high number of cases of the COVID-19 virus. This study used a sample of the number of COVID-19 case data in 16 sub-districts in Semarang City. The sampling technique used is purposive sampling with a period of 3 months, namely from October until December 2020. The research aims to find out the impact of social economy and community mobility on the growth of COVID-19 in Semarang City. There is a linkage of spatial factors between sub-districts in the growth of COVID-19 numbers. Spatial influence can show the relationship of influence between sub-districts with each other. In addition, appropriate quantitative approaches are used to obtain a complete view of the expected results through mapping with Geoda software through regression testing analyzed through spatial econometric methods. The process of data collection is carried out by a literature review. This study showed that the model correlated with a high R2 value of 0.7780. All variables show significant numbers in the model. Through policies at the Semarang City level through coordination between sub-districts to achieve prevention goals in the growth rate of COVID-19 numbers of each sub-district. The findings from this study will inform that the effort to a policy of handling COVID-19 must also be carried out continuously and the regulation of large-scale social restrictions (PSBB) in Semarang city is needed. |
| first_indexed | 2024-03-13T04:27:34Z |
| format | Article |
| id | doaj.art-1b66013dd30f4f0eb86f52728ace8948 |
| institution | Directory Open Access Journal |
| issn | 2302-707X 2540-8828 |
| language | English |
| last_indexed | 2024-03-13T04:27:34Z |
| publishDate | 2022-11-01 |
| publisher | Universitas Airlangga |
| record_format | Article |
| series | Jurnal Biometrika dan Kependudukan |
| spelling | doaj.art-1b66013dd30f4f0eb86f52728ace89482023-06-20T02:58:05ZengUniversitas AirlanggaJurnal Biometrika dan Kependudukan2302-707X2540-88282022-11-01110221322210.20473/jbk.v11i02.2022.213-22227420THE CORRELATION OF SOCIOECONOMIC AND MOBILITY FACTORS ON COVID-19 MORBIDITY IN SEMARANG CITYBudi Aji Purwoko0Chotib Chotib1Lin Yola2School of Strategic and Global Studies, Universitas Indonesia, 16424 Depok, West Java, IndonesiaSchool of Strategic and Global Studies, Universitas Indonesia, 16424 Depok, West Java, IndonesiaSchool of Strategic and Global Studies, Universitas Indonesia, 16424 Depok, West Java, IndonesiaSemarang City as the capital of Central Java Province contributes a fairly high number of cases of the COVID-19 virus. This study used a sample of the number of COVID-19 case data in 16 sub-districts in Semarang City. The sampling technique used is purposive sampling with a period of 3 months, namely from October until December 2020. The research aims to find out the impact of social economy and community mobility on the growth of COVID-19 in Semarang City. There is a linkage of spatial factors between sub-districts in the growth of COVID-19 numbers. Spatial influence can show the relationship of influence between sub-districts with each other. In addition, appropriate quantitative approaches are used to obtain a complete view of the expected results through mapping with Geoda software through regression testing analyzed through spatial econometric methods. The process of data collection is carried out by a literature review. This study showed that the model correlated with a high R2 value of 0.7780. All variables show significant numbers in the model. Through policies at the Semarang City level through coordination between sub-districts to achieve prevention goals in the growth rate of COVID-19 numbers of each sub-district. The findings from this study will inform that the effort to a policy of handling COVID-19 must also be carried out continuously and the regulation of large-scale social restrictions (PSBB) in Semarang city is needed.https://e-journal.unair.ac.id/JBK/article/view/33414covid-19 growthspatial econometricsspatial regression |
| spellingShingle | Budi Aji Purwoko Chotib Chotib Lin Yola THE CORRELATION OF SOCIOECONOMIC AND MOBILITY FACTORS ON COVID-19 MORBIDITY IN SEMARANG CITY Jurnal Biometrika dan Kependudukan covid-19 growth spatial econometrics spatial regression |
| title | THE CORRELATION OF SOCIOECONOMIC AND MOBILITY FACTORS ON COVID-19 MORBIDITY IN SEMARANG CITY |
| title_full | THE CORRELATION OF SOCIOECONOMIC AND MOBILITY FACTORS ON COVID-19 MORBIDITY IN SEMARANG CITY |
| title_fullStr | THE CORRELATION OF SOCIOECONOMIC AND MOBILITY FACTORS ON COVID-19 MORBIDITY IN SEMARANG CITY |
| title_full_unstemmed | THE CORRELATION OF SOCIOECONOMIC AND MOBILITY FACTORS ON COVID-19 MORBIDITY IN SEMARANG CITY |
| title_short | THE CORRELATION OF SOCIOECONOMIC AND MOBILITY FACTORS ON COVID-19 MORBIDITY IN SEMARANG CITY |
| title_sort | correlation of socioeconomic and mobility factors on covid 19 morbidity in semarang city |
| topic | covid-19 growth spatial econometrics spatial regression |
| url | https://e-journal.unair.ac.id/JBK/article/view/33414 |
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