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Your search keyword '"Kanggrawan, Juan Intan"' showing total 2 results
Start Over Author "Kanggrawan, Juan Intan" Topic covid-19
2 results on '"Kanggrawan, Juan Intan"'

1. The impact of large-scale social restriction and odd-even policies on transportation mobility and COVID-19 positivity rates in Jakarta.

Author

Novriansyah, Muhamad Fahriza, Nugraha, Yudhistira, Wiguna, Hansen, Ernesto, Andy, Sulasikin, Andi, Nasution, Bahrul Ilmi, Kanggrawan, Juan Intan, and Suherman, Alex L.

Subjects
TRANSPORTATION policy, COVID-19, SOCIAL impact, COVID-19 pandemic, PROVINCIAL governments
Abstract

SARS-Cov-2 spreads quickly and continues to do so to this day. One way to limit the spread is by limiting people's mobility through transportation. The Provincial Government of Jakarta has implemented the Large-Scale Social Restriction Transitional Phase-1 since June 5th, 2020, to limit people mobility and the odd-even policies August 3rd, 2020, to limit private vehicles. To assess the effectiveness of these policies against the positivity rate of COVID-19 cases in Jakarta, we used data exploration and significant tests (pre- and post-condition). The result shows that the odd-even policy significantly impacts private transportation mobility, mobility in public transportation, and the COVID-19 positivity rate in Jakarta. The relationship between those three parameters is linearly significant. The odd-even policy stimulates people to switch from private to public transportations and increases the positivity rate of COVID-19. The odd-even policy effectively reduces the mobility of private transportation but insignificantly reduces the positivity rate of COVID-19 in Jakarta. The results can be used as insights for policy decision-makers to manage the COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Published
2023
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2. evidence-based culture: COVID-19 positivity factors during the asymptomatic occurrence in Jakarta, lndonesia.

Author

Nasution, Bahrul Ilmi, Nugraha, Yudhistira, Sulasikin, Andi, Wiguna, Hansen, Kanggrawan, Juan Intan, Suherman, Alex Lukmanto, Salama, Ngabila, and Oktavia, Dwi

Subjects
COVID-19, MEDICAL personnel, COVID-19 pandemic
Abstract

Coronavirus disease 2019 (COVID-19) has been a global disaster, with over 746,312 confirmed cases and still counting in Indonesia, especially Jakarta, which has about 50 per cent asymptomatic confirmed cases. This paper aims to investigate the persistent factors of COVID-19 diagnosis using four scenarios of asymptomatic inclusion. We use Bayesian Logistic Regression to identify the factors of COVID-19 positivity, which can address issues in the traditional approach such as overfitting and uncertainty. This study discovers three main findings: (1) COVID-19 can infect people regardless of age; (2) Among twelve symptoms of coronavirus (COVID-19), five symptoms increase the COVID-19 likelihood, and two symptoms decrease the possibility of COVID-19 infection; and (3) From an epidemiological perspective, the contact history rises the probability of COVID-19, while healthcare workers and people who did travel are less likely to become infected from COVID-19. Therefore given this study, it is essential to be attentive to the people who have the symptoms and contact history. Surprisingly, health care workers and travelers who apply health protocols strictly according to the rules have a low risk of COVID19 infection. [ABSTRACT FROM AUTHOR]

Published
2022
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