Pola Penyebaran COVID-19 di DKI Jakarta  Pada Bulan Maret-Juli 2020 Secara Spasial

Ginting, Ina Rahayu; Makful, Martya Rahmaniati; Muhtar, Manendra

doi:10.24853/jkk.17.2.161-169

Cited by 5 publications

(2 citation statements)

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“…The location of COVID-19 cases in children can be identified so that prevention measures can be taken (17). In 2020, 13 of the 57 high-risk regions in the nation, according to the zoning system of COVID-19 cases, were provincial capital cities (18).…”

Section: Discussionmentioning

confidence: 99%

Mapping Spread of Covid-19 Cases in Toddlers and Children at Central Java Using K-Means Cluster

Widianawati,

Ratna Wulan,

Tri Wahyuni

et al. 2023

JBE

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Background: Toddlers and children under 12 are still easily sick, particularly during the COVID-19 epidemic. The high number of COVID-19 cases in toddlers and children in Central Java Province must be monitored to prevent transmission to toddlers and children still susceptible to the disease. Purpose: The purpose of this study was to map the spread of COVID-19 cases in toddlers aged 0-5 years and children aged 6-11 years in the province of Central Java using the K-means cluster Methods: This was a descriptive observational study with a cross-sectional design. Data on COVID-19 cases in children 6-11 years and toddlers 0-5 years from 35 cities in Central Java in 2020-2021 were analyzed using the K-means cluster. The K-means cluster was used to cluster low, medium, and high cases and then map the spread of COVID-19. Results: Semarang, Semarang Regency, Boyolali, Klaten, Surakarta, and Banyumas became high cluster areas in cases of COVID-19 toddlers and children in 2021. Based on the mapping data, COVID-19 spread in young children and toddlers in 2020 and 2021 followed a nearly identical pattern. The high zone of COVID-19 in toddlers and children mostly had a higher total population, healthcare facilities, and population density than the medium and low zones. Conclusion: Semarang City, Semarang Regency, Boyolali, Klaten, Surakarta, and Banyumas should be looking for COVID-19 cases in toddlers and young children.

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Section: Discussionmentioning

confidence: 99%

Mapping Spread of Covid-19 Cases in Toddlers and Children at Central Java Using K-Means Cluster

Widianawati,

Ratna Wulan,

Tri Wahyuni

et al. 2023

JBE

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“…Wilayah yang memiliki kejadian yang lebih rendah rentan terhadap risiko penularan penyakit yang potensial dari wilayah dengan kejadian yang lebih tinggi. 45 Hal ini juga ditemukan pada Kecamatan Bajeng dan Manuju di Kabupaten Gowa yang merupakan wilayah HL sehingga wilayah tetangganya harus berhati-hati terhadap penularan lepra. 42 Hal ini terjadi pada RT 14 sebagai wilayah LH perlu mewaspadai penularan yang dapat terjadi dari RT 9 dan RT 12 sebagai wilayah HL.…”

Section: Pembahasanunclassified

Autokorelasi Spasial ISPA pada Balita di Wilayah Kerja Puskesmas Mentaya Seberang Kabupaten Kotawaringin Timur

Rifaldi,

Cahyani,

Rahmah

et al. 2024

afiasi

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Infeksi Saluran Pernapasan Akut (ISPA) merupakan salah satu penyakit menular yang memicu kematian pada balita di Indonesia. Prevalensi ISPA di wilayah kerja Puskesmas Mentaya Seberang berada di ambang batas prevalensi Kabupaten Kotawaringin Timur. Pencegahan ISPA dapat dikaji melalui epidemiologi spasial menggunakan analisis autokorelasi spasial. Tujuan penelitian ini adalah menganalisis autokorelasi spasial ISPA pada balita di wilayah kerja Puskesmas Mentaya Seberang Kabupaten Kotawaringin Timur. Metode penelitian ini merupakan rancangan studi ekologi menggunakan metode spasial seperti Moran’s I, Differential Moran’s I, Local Indicator of Spasial Autocorrelation (LISA) dan Getis Ord Gi* melalui aplikasi GeoDa. Unit analisis spasial yang digunakan pada tingkat rukun tetangga (RT). Hasil penelitian menunjukkan tidak terdapat autokorelasi spasial global ISPA pada balita, Adanya autokorelasi spasial lokal dengan 2 wilayah High-Low pada periode januari – juni sedangkan pada periode juli – desember terdapat 1 wilayah High-Low dan 1 wilayah Low-High. Tidak ditemukan hotspot dan coldspot ISPA pada balita di wilayah kerja Puskesmas Mentaya Seberang.

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Is There a Spatial Relation between COVID-19 Incidents and Unemployment? A Case of East Java Province, Indonesia

Amin,

Wibowo,

Danardono

et al. 2024

IOP Conf. Ser.: Earth Environ. Sci.

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The COVID-19 outbreak, although primarily considered a public health crisis, has significantly impacted the labor market. On account of the restrictions imposed, many companies have been forced to cease operations or reduce their activities. In addition to transitioning to remote work, employees often encounter temporary or permanent job loss. The primary objective of this investigation is to examine the spatial configuration exhibited by COVID-19 incidents and the spatial pattern of unemployment, as well as the spatial correlation of COVID-19 with unemployment in East Java Province. In this research, the analytical approach employed involves the utilization of Moran Index analysis. The study results show that the spatial pattern of COVID-19 incidents and the spatial pattern of unemployment in East Java Province are clustered, where districts with an increased number of COVID-19 incidents surround districts with a high number of COVID-19 incidents. Similar to this is the situation with unemployment, where high-unemployment areas surround low-unemployment areas. The results of the spatial relationship between COVID-19 incidents and unemployment show a positive value, which means there is a spatial correlation among the incidence of COVID-19 and unemployment in the districts of East Java Province. The government implements policies relating to lockdowns and similar measures to mitigate the spread and transmission of COVID-19. An effective strategy would involve targeting regions nearby where districts exhibiting a high prevalence of COVID-19 incidents coincide with districts characterized by a heightened concentration of unemployed individuals. Consequently, as the number of COVID-19 incidents diminishes, a corollary reduction in unemployment rates is anticipated, attributable to the resumption of economic activities facilitated by the reopening of businesses.

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Pola Penyebaran COVID-19 di DKI Jakarta Pada Bulan Maret-Juli 2020 Secara Spasial

Cited by 5 publications

References 0 publications

Mapping Spread of Covid-19 Cases in Toddlers and Children at Central Java Using K-Means Cluster

Mapping Spread of Covid-19 Cases in Toddlers and Children at Central Java Using K-Means Cluster

Autokorelasi Spasial ISPA pada Balita di Wilayah Kerja Puskesmas Mentaya Seberang Kabupaten Kotawaringin Timur

Is There a Spatial Relation between COVID-19 Incidents and Unemployment? A Case of East Java Province, Indonesia

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