Relevant bibliographies by topics / Oxford Stringency Index

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Academic literature on the topic 'Oxford Stringency Index'

Author: Grafiati
Published: 25 June 2021
Last updated: 29 July 2025

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Journal articles on the topic "Oxford Stringency Index"

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Doti, James L. "Examining the impact of socioeconomic variables on COVID-19 death rates at the state level." Journal of Bioeconomics 23, no. 1 (2021): 15–53. http://dx.doi.org/10.1007/s10818-021-09309-9.

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AbstractThis study uses a step-wise regression model to identify the socioeconomic variables most significant in explaining COVID-19 death rates on a state-level basis. The regression tests cover the 1/1/2020 to 12/1/2020 period as well as the first and second halves of 2020. This study also uses the Oxford stringency index to measure more precisely the efficacy of governmental mandates at the state level. The results in this study rigorously showed that while the density variables were the most significant explanatory variables during the first half of the year, their significance fell during
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Chantzaras, Athanasios, and John Yfantopoulos. "The impact of COVID-19 pandemic and its associations with government responses in Europe." Region & Periphery 13, no. 13 (2022): 23–40. http://dx.doi.org/10.12681/rp.30758.

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Although stringent containment strategies are generally effective in slowing COVID-19 transmission, they also entail severe socioeconomic implications. This study uses aggregated data from Eurostat and the Oxford COVID-19 Government Response Tracker (OxCGRT) to quantify changes in GDP and their association with the stringency index. We examine the evolution of Covid-19 cases and deaths per 100.000 thousand inhabitants in Europe and discuss the impact on the economy. On average, EU member states witnessed an 11.4% reduction in their GDP, due to the COVID-19 crisis. The impact on the southern me
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Wang, Yan. "Does Governance Quality Matter for the Selection of Policy Stringency to Fight COVID-19?" International Journal of Environmental Research and Public Health 19, no. 11 (2022): 6679. http://dx.doi.org/10.3390/ijerph19116679.

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Independent of different national conditions, an indisputable fact is that the worldwide governments should play a role in fighting the ongoing COVID-19. To make clear the determinants of government response to tackle COVID-19, I investigate the impact of governance quality. To do so, I newly create an overall governance index based on six dimensions of Worldwide Governance Indicators (WGI) from the World Bank to proxy governance quality. I regress the overall governance index with controls on the stringency index from the Oxford COVID-19 Government Response Tracker database. Using pooled and
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Cross, Megan, Shu-Kay Ng, and Paul Scuffham. "Trading Health for Wealth: The Effect of COVID-19 Response Stringency." International Journal of Environmental Research and Public Health 17, no. 23 (2020): 8725. http://dx.doi.org/10.3390/ijerph17238725.

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International governments’ COVID-19 responses must balance human and economic health. Beyond slowing viral transmission, strict lockdowns have severe economic consequences. This work investigated response stringency, quantified by the Oxford COVID-19 Government Response Tracker’s Stringency Index, and examined how restrictive interventions affected infection rates and gross domestic product (GDP) in China and OECD countries. Accounting for response timing, China imposed the most stringent restrictions, while Sweden and Japan were the least stringent. Expected GDP declines range from −8% (Japan
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Chen, Shu, Lei Guo, Taghred Alghaith, et al. "Effective COVID-19 Control: A Comparative Analysis of the Stringency and Timeliness of Government Responses in Asia." International Journal of Environmental Research and Public Health 18, no. 16 (2021): 8686. http://dx.doi.org/10.3390/ijerph18168686.

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Aim: Many governments in East and Southeast Asia responded promptly and effectively at the onset of the COVID-19 pandemic. Synthesizing and analyzing these responses is vital for disease control evidence-based policymaking. Methods: An extensive review of COVID-19 control measures was conducted in selected Asian countries and subregions, including Mainland China, Hong Kong, Taiwan, South Korea, Singapore, Japan, and Vietnam from 1 January to 30 May 2020. Control measures were categorized into administrative, public health, and health system measures. To evaluate the stringency and timeliness o
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Burdekin, Richard C. K., and Samuel Harrison. "Relative Stock Market Performance during the Coronavirus Pandemic: Virus vs. Policy Effects in 80 Countries." Journal of Risk and Financial Management 14, no. 4 (2021): 177. http://dx.doi.org/10.3390/jrfm14040177.

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This paper examines relative stock market performance following the onset of the coronavirus pandemic for a sample of 80 stock markets. Weekly data on coronavirus cases and deaths are employed alongside Oxford indices on each nation’s stringency and government support intensity. The results are broken down both by month and by geographical region. The full sample results show that increased coronavirus cases exert the expected overall effect of worsening relative stock market performance, but with little consistent impact of rising deaths. There is some evidence of significantly negative stock
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Michail A. Osadchuk, Maxim Trushin, and Alexey M. Osadchuk. "COVID-19 & Quarantine Measures: A Comparison between India & Russia." Space and Culture, India 8, no. 1 (2020): 27–39. http://dx.doi.org/10.20896/saci.v8i1.902.

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The Governments of the different countries are taking a wide range of measures in response to the COVID-19 outbreak. For assessing the rigour of quarantine measures, the Blavatnik School of Government at the University of Oxford has launched the world`s first COVID-19 government response tracker—the Oxford Coronavirus Government Response Tracker – OxCGRT). This tool aims to track and compare policy responses of governments around the world, rigorously and consistently. According to the COVID-19 Government Response Stringency Index (GRSI) the strictest measures are in India (97.37 points) and l
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BASKICI, Çiğdem, Yunus GOKMEN, and Yavuz ERCİL. "The Effects of the Government Policies on the Spread of the COVID-19 Pandemic." Süleyman Demirel Üniversitesi Vizyoner Dergisi 14, no. 37 (2023): 24–36. http://dx.doi.org/10.21076/vizyoner.1069827.

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The study aims to determine whether government policies to control population mobility have been successful in the fight against the coronavirus disease 2019 (COVID-19) pandemic. Policies implemented by governments for controlling population mobility are identified with the Stringency Index prepared by Oxford University. Population mobility is observed through data provided by Google Community Mobility Report. The success of countries in the fight against the COVID-19 pandemic is measured by the Reproduction Rate. The intersection of valid data covering 104 countries is gathered from databases
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Oliveira, Gisliany Lillian Alves de, Luciana Lima, Ivanovitch Silva, Marcel da Câmara Ribeiro-Dantas, Kayo Henrique Monteiro, and Patricia Takako Endo. "Evaluating Social Distancing Measures and Their Association with the Covid-19 Pandemic in South America." ISPRS International Journal of Geo-Information 10, no. 3 (2021): 121. http://dx.doi.org/10.3390/ijgi10030121.

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Social distancing is a powerful non-pharmaceutical intervention used as a way to slow the spread of the SARS-CoV-2 virus around the world since the end of 2019 in China. Taking that into account, this work aimed to identify variations on population mobility in South America during the pandemic (15 February to 27 October 2020). We used a data-driven approach to create a community mobility index from the Google Covid-19 Community Mobility and relate it to the Covid stringency index from Oxford Covid-19 Government Response Tracker (OxCGRT). Two hypotheses were established: countries which have ad
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Krishna, Prasad K., S. Aithal P., Poornima K. Geetha, and Vinayachandra. "An AI-based Analysis of the effect of COVID-19 Stringency Index on Infection rates: A case of India." International Journal of Health Sciences and Pharmacy (IJHSP) 5, no. 1 (2021): 87–102. https://doi.org/10.5281/zenodo.4732767.

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<strong>Purpose</strong>: The impact of the COVID-19 pandemic has already been felt worldwide, disrupting the unremarkable life of individuals. Social consequences and viral transmission are challenges that must be resolved to effectively overcome the problems that occur&nbsp;throughout this pandemic. The COVID-19 infection data about India were represented using different statistical models. In this paper, the authors focus on the data collected between 1<sup>st</sup> January 2020 and 12<sup>th</sup> April 2021, try analyzing the different indexes related to India, and predict the number of i
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Dissertations / Theses on the topic "Oxford Stringency Index"

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Basic, Amir. "COVID-19’s effect on Domestic Violence in Sweden during the first 6 months of 2020. : A deeper look into gender differences, weekly crime rates, and the relationship between the victim and offender." Thesis, Malmö universitet, Institutionen för kriminologi (KR), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mau:diva-43862.

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The COVID-19 pandemic has brought about several restrictions throughout society which has limited people's outdoor activities and forced individuals to stay home. These circumstances have possibly had an impact on the prevalence of domestic violence and other types of assault. This paper uses police crime data from the first six months of 2020 to analyse if any changes in domestic violence can be attributed to the implementation of COVID-19 restrictions in Sweden. Using the LUPP method, developed by The Swedish Council for Crime Prevention (BRÅ), this paper investigates weekly changes in crime
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Book chapters on the topic "Oxford Stringency Index"

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Ibrahim, Amira Mofreh, Nour El Hoda Mohamed Bishady, Samar Hassan Elghalban, Nagham Nessim Mostafa, Mohab Mohamed Eid, and Khaled Mohamed Abdelhamid. "Modelling and Analysis the Population Density Effect on the Infectiousness Rate of COVID-19 Novel Virus and the Mortality Rate Percentage Regarding Oxford’s Stringency Index Model of Governmental Response in MATLAB." In Artificial Intelligence for COVID-19. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69744-0_25.

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