Analisis Hubungan Kepadatan Penduduk dengan Pola Penyebaran COVID-19 Provinsi DKI Jakarta menggunakan Regresi Robust

Edriani, Tiara Shofi; Rahmadani, Anisa; Noor, D. Michiko M.

doi:10.35472/indojam.v1i2.353

Cited by 10 publications

(9 citation statements)

References 10 publications

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“…This can be caused by other factors that need to be studied more deeply. [5] Based on the population density map marked by the density dot and the number of positive COVID19 per City Administration, we can know that so far in Indonesia there has been no strong correlation between densely populated areas and the number of positive COVID19. This indicates that the population density factor is one of the catalysts but is not yet the main factor.…”

Section: Discussionmentioning

confidence: 99%

Mapping the Vulnerability of Covid-19 in Sumatera Barat Based on Population Density

Ulva¹,

Yuliza²

2022

Advances in Health Sciences Research

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All areas in Sumatera Barat have been exposed to Covid-19 with a distribution of high, medium, and low risk. Population density are considered to be the driving factors for the spread of Covid-19. The purpose of this study was to see an overview of the Covid-19 spreading by population density factor. This research was a descriptive study assisted by the application of Geographic Information System (GIS). The data used was secondary data obtained from Sumatera Barat Health Department and Statistic of Sumatera Barat Province. Data analyzed by univariate analysis. The result showed that the highest cases of Covid-19 in Padang (14.557 cases). The highest population density is in Bukittinggi (4795.09 people/km 2 ). For the government, reviewing the social restrictions policy largescale/enforcement of restrictions on community activities for considering tightening health protocols, maximum capacity, and rules of operating hours in places that have the potential to occur crowd of people.

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Section: Discussionmentioning

confidence: 99%

Mapping the Vulnerability of Covid-19 in Sumatera Barat Based on Population Density

Ulva¹,

Yuliza²

2022

Advances in Health Sciences Research

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“…PHQ-9 was made based on the guidelines of depression diagnosis criteria in the Diagnostic and Statistical Manual of Mental Disorders th 4 edition (DSM-IV). The instruments of PHQ-9 consist of nine components with frequency scales starting from never (0), several days (1), more than a week (2), and nearly every day (3). The score interpretation for the questionnaire was as such, a score of 0-4 (not depressed), a score of 5-9 (mild depression), a score of 10-14 (moderate depression), a score of 15-19 (moderately severe depression), and a score of 20-27 (severe depression) (7) (12).…”

Section: Methodsmentioning

confidence: 99%

Relationship of Depression and Sleep Quality among North Jakarta Medical Students during the COVID-19 Pandemic

Tanusetiawan

Surilena²,

Widjaja³

et al. 2022

JKB

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Medical students with high academic load have had elevated baseline rates of depression and poor sleep quality. During the COVID-19 pandemic, medical students are more susceptible to depression and poor sleep quality. This study aimed to analyze depression and sleep quality among medical students at the School of Medicine and Health Sciences, Atma Jaya Catholic University of Indonesia (FKIK UAJ) during the COVID-19 pandemic. A cross-sectional study was conducted among pre-clinical and clinical students of FKIK UAJ academic year 2020/2021. Respondents were selected through proportional systematic random sampling to fulfill the Patient Health Questionnaire-9 (PHQ-9) and Pittsburgh Sleep Quality Index (PSQI) for depression and sleep quality. The data were analyzed using Mann Whitney U-Test. There were 63.3% of 635 respondents with depression, in which 39.4% respondents had mild depression, 14.2% respondents with moderate depression, and 9.8% respondents with severe depression. There were 59,2% of respondents with poor sleep quality. Depression was highest in females (67.2%) and pre-clinical stage of 2020 intake year (74.6%), and among clinical level students of 2018 (56%) and 2019 (53.9%) intake year. Poor sleep quality was also highest in females (62.8%) and pre-clinical 2020 intake year (69.8%), and among clinical level students of 2018 (53%) and 2019 (51.9%) intake year. The Mann-Whitney U-test showed a significant difference between depression level and sleep quality in pre-clinical and clinical students of FKIK UAJ during the COVID-19 pandemic (p value=0.000). Depression and sleep quality among medical students of FKIK UAJ during the COVID-19 pandemic were significantly associated.

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“…Berdasarkan penelitian yang dilakukan oleh (Wulandari et al, 2017) jumlah penduduk dapat mempengaruhi angka morbiditas, begitupun dengan penelitian yang dilakukan oleh (Rosanti & Budiantara, 2020) menyebutkan bahwa angka kesakitan dapat dipengaruhi oleh jumlah penduduk. Begitupun dengan hasil penelitian yang dilakukan oleh (Shofi Edriani et al, 2021)…”

Section: Penyebaran Kasus Covid-19 Berdasarkan Kecamatan Bulan April ...unclassified

Gambaran Frekuensi Dan Distribusi Coronavirus Disease-19 Di Wilayah Kerja Dinas Kesehatan Kota Tomohon Periode April 2020 – Juli 2021

2022

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Coronavirus disease-19 (COVID-19) adalah penyakit jenis baru yang teridentifikasi pada tahun 2019. Gambaran epidemiologi COVID-19 dibutuhkan dalam pembuatan kebijakan serta acuan dalam penelitian lanjutan. Kota Tomohon merupakan salah satu kota yang terdampak infeksi virus SARS-CoV-19. Kota Tomohon berada diurutan ke-3 kabupaten/kota dengan jumlah kasus terbanyak yang ada di Sulawesi Utara. Penelitian ini bertujuan untuk mengetahui frekuensi kasus terkonfirmasi, kasus kematian dan positivity rate serta distribusi kasus terkonfirmasi COVID-19 berdasarkan variable epidemiologi orang, tempat dan waktu di wilayah kerja Dinas Kesehatan Kota Tomohon periode April 2020 – Juli 2021 dengan jenis penelitian kuantitatif deskriptif dan desain studi potong lintang. Penelitian ini dilakukan di Dinas Kesehatan Kota Tomohon pada November 2021 – Januari 2022. Hasil penelitian ini yaitu jumlah kasus terbanyak terjadi dibulan Juli 2021 dengan 509 kasus, positivity rate tertinggi yaitu 36,2% dibulan Januari 2021, jumlah kasus kematian paling banyak yaitu 13 kasus, perempuan adalah kelompok populasi dengan angka konfirmasi tertinggi, usia 25-34 tahun paling banyak terinfeksi COVID-19, Kelurahan Taratara 3 serta Walian memiliki jumlah kasus paling tinggi di Kota Tomohon dan Kecamatan dengan angka konfirmasi tertinggi yaitu Tomohon Selatan. Adapun saran bagi peneliti selanjutnya untuk dapat mencari tahu hubungan kejadian COVID-19 dengan variabel epidemiologi dan bagi Dinas Kesehatan Kota Tomohon agar dapat terus melakukan surveilans terhadap kejadian COVID-19 dan intervensi khusus bagi mereka yang paling banyak terinfeksi.

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Analisis Hubungan Kepadatan Penduduk dengan Pola Penyebaran COVID-19 Provinsi DKI Jakarta menggunakan Regresi Robust

Cited by 10 publications

References 10 publications

Mapping the Vulnerability of Covid-19 in Sumatera Barat Based on Population Density

Mapping the Vulnerability of Covid-19 in Sumatera Barat Based on Population Density

Relationship of Depression and Sleep Quality among North Jakarta Medical Students during the COVID-19 Pandemic

Gambaran Frekuensi Dan Distribusi Coronavirus Disease-19 Di Wilayah Kerja Dinas Kesehatan Kota Tomohon Periode April 2020 – Juli 2021

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