Academic literature on the topic 'Oxford Stringency Index'
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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 (March 20, 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 the second half. Use of the Oxford stringency index revealed that more stringent mandates led to significant reductions in COVID-19 death rates, especially during the second half of the year. The study’s findings also reveal that a higher poverty rate in a state is significantly associated with higher COVID-19 death rates during all three periods tested.
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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 (November 24, 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) to −15.4% (UK). While greater restrictions generally slowed viral transmission, they failed to reach statistical significance and reduced GDP (p = 0.006). Timing was fundamental: governments who responded to the pandemic faster saw greater reductions in viral transmission (p = 0.013), but worse decreases in GDP (p = 0.044). Thus, response stringency has a greater effect on GDP than infection rates, which are instead affected by the timing of COVID-19 interventions. Attempts to mitigate economic impacts by delaying restrictions or decreasing stringency may buoy GDP in the short term but increase infection rates, the longer-term economic consequences of which are not yet fully understood. As highly restrictive interventions were successful in some but not all countries, decision-makers must consider whether their strategies are appropriate for the country on health and economic grounds.
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Chen, Shu, Lei Guo, Taghred Alghaith, Di Dong, Mohammed Alluhidan, Mariam M. Hamza, Christopher H. Herbst, 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 (August 17, 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 of responses, we developed two indices: the Initial Response Index (IRI) and the Modified Stringency Index (MSI), which builds on the Oxford COVID-19 Government Response Tracker (OxCGRT). Results: Comprehensive administrative, public health, and health system control measures were implemented at the onset of the outbreak. Despite variations in package components, the stringency of control measures across the study sites increased with the acceleration of the outbreak, with public health control measures implemented the most stringently. Variations in daily average MSI scores are observed, with Mainland China scoring the highest (74.2), followed by Singapore (67.4), Vietnam (66.8), Hong Kong (66.2), South Korea (62.3), Taiwan (52.1), and Japan (50.3). Variations in IRI scores depicting timeliness were higher: Hong Kong, Taiwan, Vietnam, and Singapore acted faster (IRI > 50.0), while Japan (42.4) and Mainland China (4.2) followed. Conclusions: Timely setting of stringency of the control measures, especially public health measures, at dynamically high levels is key to optimally controlling outbreaks.
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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 (April 12, 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 market effects arising from lockdowns as reflected in the Oxford stringency index. There are also positive reactions to government support in March and December in the overall sample—combined with some additional pervasive effects seen in mid-2020 in Latin America.
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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 (June 28, 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 less stringent ones are in the Russian Federation (63.89 points). The study compares restrictive measures in India and Russia, analyses their impact on the spread of COVID-19; and estimates mortality rates. Besides, the study also probes population coverage aimed at diagnosing through the use of testing methods and possible economic consequences of quarantine measures.
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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 (March 1, 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 adopted stricter social distancing measures have also a lower level of circulation (H1), and mobility is occurring randomly in space (H2). Considering a transient period, a low capacity of governments to respond to the pandemic with more stringent measures of social distancing was observed at the beginning of the crisis. In turn, considering a steady-state period, the results showed an inverse relationship between the Covid stringency index and the community mobility index for at least three countries (H1 rejected). Regarding the spatial analysis, global and local Moran indices revealed regional mobility patterns for Argentina, Brazil, and Chile (H1 rejected). In Brazil, the absence of coordinated policies between the federal government and states regarding social distancing may have played an important role for several and extensive clusters formation. On the other hand, the results for Argentina and Chile could be signals for the difficulties of governments in keeping their population under control, and for long periods, even under stricter decrees.
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Wallingford, Jessica, and William Masters. "Stringency of Movement Restrictions Linked With Higher Retail Food Prices but Not Overall Prices for All Consumer Goods During COVID-19 Pandemic." Current Developments in Nutrition 5, Supplement_2 (June 2021): 254. http://dx.doi.org/10.1093/cdn/nzab029_055.
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Abstract Objectives The COVID-19 crisis has disrupted economies and health systems across the globe and has brought substantial challenges for food systems. Government responses key to minimizing disease spread have included a number of movement restriction policies (e.g., school closures, stay at home measures, etc.). Such policies have impacted food consumption and purchasing behaviours and have harmed much of the face-to-face type of labour required for food retailing, which in turn may have impacted the affordability of diets. We use evidence from 133 countries to investigate the association between stringency in movement restriction policies and retail price levels for food and other consumer goods. Methods We use the International Monetary Fund's monthly national consumer price index (CPI), and food and non-alcoholic beverage index (FCPI), as well as a ratio of FCPI to CPI—the food price index (FPI)—for 133 countries from January 2017 to November 2020. Data on stringency in movement restriction policies and COVID-19 cases and mortality per million were obtained from the Oxford COVID-19 Government Response Tracker and the European Centre for Disease Prevention and Control, respectively. Fixed effects regression models were used to estimate the association between stringency of COVID-19 movement restrictions and monthly differences in 2020 retail price levels (from average 2017–2019 levels) of foods and other consumer goods, while controlling for pandemic severity in each country and month. Results Regression models yielded a positive and significant relationship between stringency level and FCPI level (coeff. = 1.24–1.91; 95% CIs: 0.25–2.79) or FPI level (coeff. = 1.24–2.14; 95% CIs: 0.60–2.53). Alternatively, stringency level was either negatively associated with CPI level (coeff. = −0.57; 95% CI: −1.06 – −0.07) or not significantly associated with CPI level. Conclusions Government response stringency in COVID-19 movement restriction policies is linked with higher retail food price levels. Governments could consider implementing these policies alongside other measures (e.g., food assistance) to mitigate negative spillovers into the domain of food security and nutrition. Funding Sources This work was supported by the Bill & Melinda Gates Foundation and UKAid through the Foreign, Commonwealth & Development Office of the UK.
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Mukerjee, Swati, Clifton M. Chow, and Mingfei Li. "Mitigation strategies and compliance in the COVID-19 fight; how much compliance is enough?" PLOS ONE 16, no. 8 (August 9, 2021): e0239352. http://dx.doi.org/10.1371/journal.pone.0239352.
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The U.S. with only 4% of the world’s population, bears a disproportionate share of infections in the COVID-19 pandemic. To understand this puzzle, we investigate how mitigation strategies and compliance can work together (or in opposition) to reduce (or increase) the spread of COVID-19 infection. Building on the Oxford index, we create state-specific stringency indices tailored to U.S. conditions, to measure the degree of strictness of public mitigation measures. A modified time-varying SEIRD model, incorporating this Stringency Index as well as a Compliance Indicator is then estimated with daily data for a sample of 6 U.S. states: New York, New Hampshire, New Mexico, Colorado, Texas, and Arizona. We provide a simple visual policy tool to evaluate the various combinations of mitigation policies and compliance that can reduce the basic reproduction number to less than one, the acknowledged threshold in the epidemiological literature to control the pandemic. Understanding of this relationship by both the public and policy makers is key to controlling the pandemic. This tool has the potential to be used in a real-time, dynamic fashion for flexible policy options. Our methodology can be applied to other countries and has the potential to be extended to other epidemiological models as well. With this first step in attempting to quantify the factors that go into the “black box” of the transmission factor β, we hope that our work will stimulate further research in the dual role of mitigation policies and compliance.
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Heo, Gyujin, Catherine Apio, Kyulhee Han, Taewan Goo, Hye Won Chung, Taehyun Kim, Hakyong Kim, et al. "Statistical Estimation of Effects of Implemented Government Policies on COVID-19 Situation in South Korea." International Journal of Environmental Research and Public Health 18, no. 4 (February 22, 2021): 2144. http://dx.doi.org/10.3390/ijerph18042144.
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Since the outbreak of novel SARS-COV-2, each country has implemented diverse policies to mitigate and suppress the spread of the virus. However, no systematic evaluation of these policies in their alleviation of the pandemic has been done. We investigate the impact of five indices derived from 12 policies in the Oxford COVID-19 Government Response Tracker dataset and the Korean government’s index, which is the social distancing level implemented by the Korean government in response to the changing pandemic situation. We employed segmented Poisson model for this analysis. In conclusion, health and the Korean government indices are most consistently effective (with negative coefficients), while the restriction and stringency indexes are mainly effective with lagging (1~10 days), as intuitively daily confirmed cases of a given day is affected by the policies implemented days before, which shows that a period of time is required before the impact of some policies can be observed. The health index demonstrates the importance of public information campaign, testing policy and contact tracing, while the government index shows the importance of social distancing guidelines in mitigating the spread of the virus. These results imply the important roles of these polices in mitigation of the spread of COVID-19 disease.
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Ong, Ju Lynn, Teyang Lau, Mari Karsikas, Hannu Kinnunen, and Michael Chee. "231 COVID-19 Lockdown Policies Across 20 Countries Modulate Sleep and Resting Heart Rate Measures." Sleep 44, Supplement_2 (May 1, 2021): A92. http://dx.doi.org/10.1093/sleep/zsab072.230.
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Abstract Introduction Lockdowns imposed to stem the spread of COVID-19 have disrupted the lifestyles of many worldwide, but studies to date are mostly confined to observations within a limited number of countries, based on subjective reports and survey from a narrow time window. In the present study, we investigate associations between the severity of lockdown policies and objective sleep and resting-heart rate measures. Methods Data from 113,000 users of a consumer sleep tracker across 20 countries were gathered between Jan–Jul 2020 and compared with an equivalent period in 2019 as a control for naturally occurring seasonal fluctuations. Lockdown stringency was derived using scores from the Oxford Government Response Tracker. Multilevel growth curve models were used to quantify the effect of lockdown stringency on changes to sleep patterns (midsleep time and midsleep variability) and resting heart rate changes, and to predict changes in resting heart rate from changes to sleep patterns. Results Lockdown severity modulated the size of shifts in sleep midpoint and regularity during this period. Midsleep times were delayed in all countries during strict lockdowns, particularly on weekdays, while midsleep variability reduced. The largest shifts in midsleep time (+0.09 to +0.58 hours), midsleep variability (–0.12 to –0.26 hours) and resting heart rate (–0.35 to –2.08 bpm) occurred in April and May - when most countries imposed their strictest lockdown measures. In addition, multilevel modelling revealed that for each unit increase in stringency index, midsleep time was delayed by 0.96 min, midsleep variability decreased by 0.46 min and resting heart rate decreased by 0.06 bpm. Finally, in models predicting changes in resting heart rate from changes to sleep patterns, midsleep variability was shown to be the strongest predictor of resting heart rate, wherein an hour increase in the standard deviation of midsleep variability predicted a 5.12 increase in bpm, while an hour increase in midsleep time only predicted a 1.25 decrease in bpm. Conclusion Our findings demonstrate the utility of large-scale data from consumer wearables in providing population-level insights into how lockdown severity directly impacts sleep health during this pandemic period. Support (if any) Work conducted at NUS is supported by a grant awarded to Michael Chee (NMRC/STAR19may-0001).
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 compared to the same period in 2019 while additionally studying the prevalence of different types of relationships between the victim and offender. Results indicate that partner violence for men has doubled in relation to all assault crimes, and that partner violence for women has also increased substantially, accounting for 46 % of total assault crimes in the observed period. Abuse by family members, other acquaintances, and unknown persons have seemingly gone down in 2020, compared to the same period in 2019. A concluding regression analysis reveals weak to moderate correlations between changes in domestic violence- and non-domestic violence crimes and COVID-19 restrictions, even when changes in seasonality is accounted for. While the increase in domestic violence crimes does not directly coincide with the emergence of COVID-19, results indicate that the implemented restrictions have played an important role in maintaining heightened levels throughout the observed period. Future research is advised to continue testing for correlations to COVID-19 restrictions, while also considering other variables which could be related to domestic violence, such as increased alcohol consumption at home, family isolation, and economic stress.
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, 437–62. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-69744-0_25.
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