Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add filters

Language
Document Type
Year range
1.
Journal of Islamic Monetary Economics and Finance ; 9(1):71-106, 2023.
Article in English | Scopus | ID: covidwho-2291227

ABSTRACT

We investigate the effects of COVID-19 lockdowns on frequency of online search on mental well-being and religiosity-related terms in Indonesia using high-frequency data from Google Trends and Bank Indonesia Consumer Survey from January 1st, 2018, to February 28th, 2021. Monthly search terms and consumer survey data are merged at the provincial level, which results in a total of 131,300 individual observations. Using event analysis and instrumental variable approaches, our study suggests that lockdown policy is significantly associated with higher search intensity of mental well-being and religiosity-related terms compared to the pre-lockdown period. Our findings suggest that mentally disturbed people tend to lean on religion to cope with stressful events during a crisis. Our study has substantial policy implications on ensuring appropriate government interventions that minimize the detrimental effect of COVID-19 on mental well-being. © 2023 University of Ljubljana - Veterinary Faculty. All rights reserved.

2.
Inform Med Unlocked ; 19: 100345, 2020.
Article in English | MEDLINE | ID: covidwho-232576

ABSTRACT

The aim of this study was to develop an appropriate anti-viral drug against the SARS-CoV-2 virus. An immediately qualifying strategy would be to use existing powerful drugs from various virus treatments. The strategy in virtual screening of antiviral databases for possible therapeutic effect would be to identify promising drug molecules, as there is currently no vaccine or treatment approved against COVID-19. Targeting the main protease (pdb id: 6LU7) is gaining importance in anti-CoV drug design. In this conceptual context, an attempt has been made to suggest an in silico computational relationship between US-FDA approved drugs, plant-derived natural drugs, and Coronavirus main protease (6LU7) protein. The evaluation of results was made based on Glide (Schrödinger) dock score. Out of 62 screened compounds, the best docking scores with the targets were found for compounds: lopinavir, amodiaquine, and theaflavin digallate (TFDG). Molecular dynamic (MD) simulation study was also performed for 20 ns to confirm the stability behaviour of the main protease and inhibitor complexes. The MD simulation study validated the stability of three compounds in the protein binding pocket as potent binders.

SELECTION OF CITATIONS
SEARCH DETAIL