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Showing papers on "Government published in 2020"



Journal ArticleDOI
01 Apr 2020
TL;DR: In this article, the authors provide detailed reporting and analyses of the present rapid responses to COVID-19, between January and March 2020, in Indonesia and highlight responses taken by the governments, non-government organisations and the community.
Abstract: The world is under pressure from the novel COVID-19 pandemic. Indonesia is the fourth most populous country in the world and predicted to be affected significantly over a longer time period. Our paper aims to provide detailed reporting and analyses of the present rapid responses to COVID-19, between January and March 2020, in Indonesia. We particularly highlight responses taken by the governments, non-government organisations and the community. We outline gaps and limitations in the responses, based on our rapid analysis of media contents, from government speeches and reports, social and mass media platforms. We present five recommendations toward more rapid, effective, and comprehensive responses.

626 citations


Journal ArticleDOI
21 May 2020-PLOS ONE
TL;DR: The results highlight the importance of consistent messaging from health authorities and the government as well as the need for tailored health education programs to improve levels of knowledge, attitudes and practices towards COVID-19 among the Malaysian public.
Abstract: In an effort to mitigate the outbreak of COVID-19, many countries have imposed drastic lockdown, movement control or shelter in place orders on their residents. The effectiveness of these mitigation measures is highly dependent on cooperation and compliance of all members of society. The knowledge, attitudes and practices people hold toward the disease play an integral role in determining a society's readiness to accept behavioural change measures from health authorities. The aim of this study was to determine the knowledge levels, attitudes and practices toward COVID-19 among the Malaysian public. A cross-sectional online survey of 4,850 Malaysian residents was conducted between 27th March and 3rd April 2020. The survey instrument consisted of demographic characteristics, 13 items on knowledge, 3 items on attitudes and 3 items on practices, modified from a previously published questionnaire on COVID-19. Descriptive statistics, chi-square tests, t-tests and one-way analysis of variance (ANOVA) were conducted. The overall correct rate of the knowledge questionnaire was 80.5%. Most participants held positive attitudes toward the successful control of COVID-19 (83.1%), the ability of Malaysia to conquer the disease (95.9%) and the way the Malaysian government was handling the crisis (89.9%). Most participants were also taking precautions such as avoiding crowds (83.4%) and practising proper hand hygiene (87.8%) in the week before the movement control order started. However, the wearing of face masks was less common (51.2%). This survey is among the first to assess knowledge, attitudes and practice in response to the COVID-19 pandemic in Malaysia. The results highlight the importance of consistent messaging from health authorities and the government as well as the need for tailored health education programs to improve levels of knowledge, attitudes and practices.

622 citations


Journal ArticleDOI
TL;DR: The COVID-19 outbreak in Hubei resulted in increased stress for medical staff in adjacent Hunan province and continued acknowledgment of the medical staff by hospital management and the government, provision of infection control guidelines, specialized equipment and facilities for the management of CO VID-19 infection should be recognized as factors that may encourage medical staff to work during future epidemics.
Abstract: BACKGROUND Throughout China, during the recent epidemic in Hubei province, frontline medical staff have been responsible for tracing contacts of patients infected with coronavirus disease 2019 (COVID‑19). This study aimed to investigate the psychological impact and coping strategies of frontline medical staff in Hunan province, adjacent to Hubei province, during the COVID‑19 outbreak between January and March 2020. MATERIAL AND METHODS A cross-sectional observational study included doctors, nurses, and other hospital staff throughout Hunan province between January and March 2020. The study questionnaire included five sections and 67 questions (scores, 0-3). The chi-squared χ² test was used to compare the responses between professional groups, age-groups, and gender. RESULTS Study questionnaires were completed by 534 frontline medical staff. The responses showed that they believed they had a social and professional obligation to continue working long hours. Medical staff were anxious regarding their safety and the safety of their families and reported psychological effects from reports of mortality from COVID‑19 infection. The availability of strict infection control guidelines, specialized equipment, recognition of their efforts by hospital management and the government, and reduction in reported cases of COVID‑19 provided psychological benefit. CONCLUSIONS The COVID‑19 outbreak in Hubei resulted in increased stress for medical staff in adjacent Hunan province. Continued acknowledgment of the medical staff by hospital management and the government, provision of infection control guidelines, specialized equipment and facilities for the management of COVID‑19 infection should be recognized as factors that may encourage medical staff to work during future epidemics.

589 citations


ReportDOI
TL;DR: For example, this paper found that government restrictions on commercial activity and voluntary social distancing, operating with powerful effects in a service-oriented economy, are the main reasons the U.S. stock market reacted so much more forcefully to COVID-19 than to previous pandemics in 1918-19, 1957-58 and 1968.
Abstract: No previous infectious disease outbreak, including the Spanish Flu, has impacted the stock market as forcefully as the COVID-19 pandemic. In fact, previous pandemics left only mild traces on the U.S. stock market. We use text-based methods to develop these points with respect to large daily stock market moves back to 1900 and with respect to overall stock market volatility back to 1985. We also evaluate potential explanations for the unprecedented stock market reaction to the COVID-19 pandemic. The evidence we amass suggests that government restrictions on commercial activity and voluntary social distancing, operating with powerful effects in a service-oriented economy, are the main reasons the U.S. stock market reacted so much more forcefully to COVID-19 than to previous pandemics in 1918-19, 1957-58 and 1968.

584 citations


Journal ArticleDOI
01 Mar 2020
TL;DR: In this paper, the authors suggest that the government needs to further promote the educational information superhighway, consider equipping teachers and students with standardized home-based teaching/learning equipment, conduct online teacher training, include the development of massive online education in the national strategic plan, and support academic research into online education especially education to help students with online learning difficulties.
Abstract: Against the backdrop of the COVID-19 outbreak, an emergency policy initiative called “Suspending Classes Without Stopping Learning” was launched by the Chinese government to continue teaching activities as schools across the country were closed to contain the virus. However, there is ambiguity and disagreement about what to teach, how to teach, the workload of teachers and students, the teaching environment, and the implications for education equity. Possible difficulties that the policy faces include: the weakness of the online teaching infrastructure, the inexperience of teachers (including unequal learning outcomes caused by teachers’ varied experience), the information gap, the complex environment at home, and so forth. To tackle the problems, we suggest that the government needs to further promote the construction of the educational information superhighway, consider equipping teachers and students with standardized home-based teaching/learning equipment, conduct online teacher training, include the development of massive online education in the national strategic plan, and support academic research into online education, especially education to help students with online learning difficulties.

536 citations


Journal ArticleDOI
11 Jul 2020
TL;DR: In this article, the authors explored the perceptions of primary school teachers of online learning in a program developed in Indonesia called School from Home during the COVID-19 Pandemic and found four main themes, namely, instructional strategies, challenges, support, and motivation of teachers.
Abstract: This study explores the perceptions of primary school teachers of online learning in a program developed in Indonesia called School from Home during the COVID-19 Pandemic. Data were collected through surveys and semi-structured interviews with 67 class teachers in primary schools. Data analysis used thematic analysis of qualitative data. The analysis results found four main themes, namely, instructional strategies, challenges, support, and motivation of teachers. This research contributes to the literature of online collaborative learning between teachers, parents, and schools that impact student success. Broadly, the success of online learning in Indonesia during the COVID-19 Pandemic was determined by the readiness of technology in line with the national humanist curriculum, support and collaboration from all stakeholders, including government, schools, teachers, parents and the community.

534 citations


Journal ArticleDOI
TL;DR: Although the government has taken major steps to educate the public and limit the spread of the disease, more effort is needed to educate and support the lower economic strata.
Abstract: Coronavirus disease 2019 (COVID-19) has been recognized as a pandemic by the World Health Organization. Global efforts have been exerted to prevent the spreading of the disease through political decisions together with personal behaviors, which depend on awareness of the public. The goal of this study is to assess the knowledge, perceptions and attitude of the Egyptian public towards the COVID-19 disease. We conducted a cross-sectional survey about these points, which was distributed among adult Egyptians. Five hundred and fifty nine persons completed the survey. The mean knowledge score was 16.39 out of 23, gained mainly though social media (66.9%), and the internet (58.3%). Knowledge was significantly lower among older, less educated, lower income participants, and rural residents. Most participants (86.9%) were concerned about the risk of infection. While 37.6% thought that their salary will be continued if they become isolated, 68.5% believed that it should be continued during this period. About 73.0% were looking forward to get the vaccine when available. In general, participants had a good knowledge about the disease and a positive attitude towards protective measures. This knowledge is gained mainly through novel media channels, which have pros and cons. Although the government has taken major steps to educate the public and limit the spread of the disease, more effort is needed to educate and support the lower economic strata. If a vaccine or a treatment is approved, we recommend a government control over its use to preserve the rights of the vulnerable and needy groups.

508 citations


Journal ArticleDOI
15 Jul 2020-BMJ
TL;DR: Physical distancing interventions were associated with reductions in the incidence of covid-19 globally and might support policy decisions as countries prepare to impose or lift physical distancing measures in current or future epidemic waves.
Abstract: Objective To evaluate the association between physical distancing interventions and incidence of coronavirus disease 2019 (covid-19) globally. Design Natural experiment using interrupted time series analysis, with results synthesised using meta-analysis. Setting 149 countries or regions, with data on daily reported cases of covid-19 from the European Centre for Disease Prevention and Control and data on the physical distancing policies from the Oxford covid-19 Government Response Tracker. Participants Individual countries or regions that implemented one of the five physical distancing interventions (closures of schools, workplaces, and public transport, restrictions on mass gatherings and public events, and restrictions on movement (lockdowns)) between 1 January and 30 May 2020. Main outcome measure Incidence rate ratios (IRRs) of covid-19 before and after implementation of physical distancing interventions, estimated using data to 30 May 2020 or 30 days post-intervention, whichever occurred first. IRRs were synthesised across countries using random effects meta-analysis. Results On average, implementation of any physical distancing intervention was associated with an overall reduction in covid-19 incidence of 13% (IRR 0.87, 95% confidence interval 0.85 to 0.89; n=149 countries). Closure of public transport was not associated with any additional reduction in covid-19 incidence when the other four physical distancing interventions were in place (pooled IRR with and without public transport closure was 0.85, 0.82 to 0.88; n=72, and 0.87, 0.84 to 0.91; n=32, respectively). Data from 11 countries also suggested similar overall effectiveness (pooled IRR 0.85, 0.81 to 0.89) when school closures, workplace closures, and restrictions on mass gatherings were in place. In terms of sequence of interventions, earlier implementation of lockdown was associated with a larger reduction in covid-19 incidence (pooled IRR 0.86, 0.84 to 0.89; n=105) compared with a delayed implementation of lockdown after other physical distancing interventions were in place (pooled IRR 0.90, 0.87 to 0.94; n=41). Conclusions Physical distancing interventions were associated with reductions in the incidence of covid-19 globally. No evidence was found of an additional effect of public transport closure when the other four physical distancing measures were in place. Earlier implementation of lockdown was associated with a larger reduction in the incidence of covid-19. These findings might support policy decisions as countries prepare to impose or lift physical distancing measures in current or future epidemic waves.

449 citations


Journal ArticleDOI
TL;DR: In this article, the authors examined the expected economic impact of government actions by analyzing the effect of such actions on stock market returns using daily data from January 22 to April 17, 2020 from 77 countries.

404 citations


Journal ArticleDOI
26 Jun 2020
TL;DR: It was found that women were somewhat more likely to engage in these health behaviors than men, but that age was generally unrelated to voluntary compliance behaviors and may suggest avenues and dead ends for behavioral interventions during COVID-19 and beyond.
Abstract: With a large international sample (n = 8317), the present study examined which beliefs and attitudes about COVID-19 predict 1) following government recommendations, 2) taking health precautions (including mask wearing, social distancing, handwashing, and staying at home), and 3) encouraging others to take health precautions The results demonstrate the importance of believing that taking health precautions will be effective for avoiding COVID-19 and generally prioritizing one’s health These beliefs continued to be important predictors of health behaviors after controlling for demographic and personality variables In contrast, we found that perceiving oneself as vulnerable to COVID-19, the perceived severity of catching COVID-19, and trust in government were of relatively little importance We also found that women were somewhat more likely to engage in these health behaviors than men, but that age was generally unrelated to voluntary compliance behaviors These findings may suggest avenues and dead ends for behavioral interventions during COVID-19 and beyond Highlights •Examines which beliefs and attitudes about COVID-19 predict 1) following government recommendations, 2) taking health precautions (including mask wearing, social distancing, handwashing, and staying at home), and 3) encouraging others to take health precautions•Uses a large international sample (n = 8317) to demonstrate the importance of believing that taking health precautions will be effective for avoiding COVID-19 and generally prioritizing one’s health•Finds that perceiving oneself as vulnerable to COVID-19, the perceived severity of catching COVID-19, and trust in government were of relatively little importance•Finds that women were somewhat more likely to engage in these health behaviors than men, but that age was generally unrelated to voluntary compliance behaviors

Journal ArticleDOI
TL;DR: Results show that media richness negatively predicts citizen engagement through government social media, but dialogic loop facilitates engagement, and all relationships were contingent upon the emotional valence of each Weibo post.

Journal ArticleDOI
TL;DR: The initial public release of a large hand-coded dataset of over 13,000 policy announcements made in response to the COVID-19 pandemic is presented, which shows the quick acceleration of the adoption of costly policies across countries beginning in mid-March 2020 through 24 May 2020.
Abstract: Governments worldwide have implemented countless policies in response to the COVID-19 pandemic. We present an initial public release of a large hand-coded dataset of over 13,000 such policy announcements across more than 195 countries. The dataset is updated daily, with a 5-day lag for validity checking. We document policies across numerous dimensions, including the type of policy, national versus subnational enforcement, the specific human group and geographical region targeted by the policy, and the time frame within which each policy is implemented. We further analyse the dataset using a Bayesian measurement model, which shows the quick acceleration of the adoption of costly policies across countries beginning in mid-March 2020 through 24 May 2020. We believe that these data will be instrumental for helping policymakers and researchers assess, among other objectives, how effective different policies are in addressing the spread and health outcomes of COVID-19.

Journal ArticleDOI
TL;DR: A World Health Organization technical consultation on responding to the infodemic related to the coronavirus disease (COVID-19) pandemic was held, entirely online, to crowdsource suggested actions for a framework for infodemics in health emergencies, which proposes five action areas in which WHO Member States and actors within society can apply aninfodemic management approach adapted to national contexts and practices.
Abstract: Background: An infodemic is an overabundance of information—some accurate and some not—that occurs during an epidemic In a similar manner to an epidemic, it spreads between humans via digital and physical information systems It makes it hard for people to find trustworthy sources and reliable guidance when they need it Objective: A World Health Organization (WHO) technical consultation on responding to the infodemic related to the coronavirus disease (COVID-19) pandemic was held, entirely online, to crowdsource suggested actions for a framework for infodemic management Methods: A group of policy makers, public health professionals, researchers, students, and other concerned stakeholders was joined by representatives of the media, social media platforms, various private sector organizations, and civil society to suggest and discuss actions for all parts of society, and multiple related professional and scientific disciplines, methods, and technologies A total of 594 ideas for actions were crowdsourced online during the discussions and consolidated into suggestions for an infodemic management framework Results: The analysis team distilled the suggestions into a set of 50 proposed actions for a framework for managing infodemics in health emergencies The consultation revealed six policy implications to consider First, interventions and messages must be based on science and evidence, and must reach citizens and enable them to make informed decisions on how to protect themselves and their communities in a health emergency Second, knowledge should be translated into actionable behavior-change messages, presented in ways that are understood by and accessible to all individuals in all parts of all societies Third, governments should reach out to key communities to ensure their concerns and information needs are understood, tailoring advice and messages to address the audiences they represent Fourth, to strengthen the analysis and amplification of information impact, strategic partnerships should be formed across all sectors, including but not limited to the social media and technology sectors, academia, and civil society Fifth, health authorities should ensure that these actions are informed by reliable information that helps them understand the circulating narratives and changes in the flow of information, questions, and misinformation in communities Sixth, following experiences to date in responding to the COVID-19 infodemic and the lessons from other disease outbreaks, infodemic management approaches should be further developed to support preparedness and response, and to inform risk mitigation, and be enhanced through data science and sociobehavioral and other research Conclusions: The first version of this framework proposes five action areas in which WHO Member States and actors within society can apply, according to their mandate, an infodemic management approach adapted to national contexts and practices Responses to the COVID-19 pandemic and the related infodemic require swift, regular, systematic, and coordinated action from multiple sectors of society and government It remains crucial that we promote trusted information and fight misinformation, thereby helping save lives

Journal ArticleDOI
01 Sep 2020
TL;DR: An ML-based improved model has been applied to predict the potential threat of COVID-19 in countries worldwide and it is shown that using iterative weighting for fitting Generalized Inverse Weibull distribution, a better fit can be obtained to develop a prediction framework.
Abstract: The outbreak of COVID-19 Coronavirus, namely SARS-CoV-2, has created a calamitous situation throughout the world. The cumulative incidence of COVID-19 is rapidly increasing day by day. Machine Learning (ML) and Cloud Computing can be deployed very effectively to track the disease, predict growth of the epidemic and design strategies and policies to manage its spread. This study applies an improved mathematical model to analyse and predict the growth of the epidemic. An ML-based improved model has been applied to predict the potential threat of COVID-19 in countries worldwide. We show that using iterative weighting for fitting Generalized Inverse Weibull distribution, a better fit can be obtained to develop a prediction framework. This has been deployed on a cloud computing platform for more accurate and real-time prediction of the growth behavior of the epidemic. A data driven approach with higher accuracy as here can be very useful for a proactive response from the government and citizens. Finally, we propose a set of research opportunities and setup grounds for further practical applications.

Journal ArticleDOI
Gary Gereffi1
15 Jul 2020
TL;DR: On balance, the U.S. shortage of N95 respirators during the COVID-19 pandemic is more a policy failure than a market failure, and the global value chain framework highlights strategic options that could lead to more resilient supply chains and diversified sourcing patterns.
Abstract: The COVID-19 pandemic has caused a dramatic shortage in the medical supplies needed to treat the virus due to a massive surge in demand as the disease circled the globe during the first half of 2020. Prior to the crisis, there was an interdependence of trade and production for medical supplies, with advanced industrial countries like the United States and Germany specializing in the relatively high-tech medical devices sector, while low-cost production hubs such as China and Malaysia were leading producers of less technologically sophisticated personal protective equipment (PPE) products such as face masks, surgical gloves, and medical gowns. After the COVID-19 outbreak, global shortages of PPE products emerged as many affected countries imposed export controls and sought ways to boost domestic output. A case study of the face mask value chain in the United States shows misalignments between the priorities of U.S. federal government officials and the strategies of leading U.S. multinational producers of face masks, which resulted in exceptionally costly policy delays in terms of health outcomes. On balance, the U.S. shortage of N95 respirators during the COVID-19 pandemic is more a policy failure than a market failure. The global value chain framework highlights strategic options that could lead to more resilient supply chains and diversified sourcing patterns.

Journal ArticleDOI
M. Jae Moon1
TL;DR: This essay argues that an agile‐adaptive approach, a policy of transparency in communicating risk, and citizens’ voluntary cooperation are critical factors and suggests that the South Korean government learned costly lessons from the MERS failure of 2015.
Abstract: Governments are being put to the test as they struggle with the fast and wide spread of COVID-19. This article discusses the compelling challenges posed by the COVID-19 pandemic by examining how this wicked problem has been managed by the South Korean government with agile-adaptive, transparent actions to mitigate the surge of COVID-19. Unlike many Western countries, South Korea has been able to contain the spread of COVID-19 without a harsh forced lockdown of the epicenter of the virus. This essay argues that an agile-adaptive approach, a policy of transparency in communicating risk, and citizens' voluntary cooperation are critical factors. It also suggests that the South Korean government learned costly lessons from the MERS failure of 2015. This essay suggests ways that Western countries can manage future wicked problems such as COVID-19 without paying too much cost and maintaining quality of life in open and free societies.

Journal ArticleDOI
TL;DR: It is shown that even ‘well optimized’ moderation systems could exacerbate, rather than relieve, many existing problems with content policy as enacted by platforms, as it is demonstrated these systems remain opaque, unaccountable and poorly understood.
Abstract: As government pressure on major technology companies builds, both firms and legislators are searching for technical solutions to difficult platform governance puzzles such as hate speech and misinf...

ReportDOI
01 May 2020
TL;DR: In the wake of the 2009 pandemic, nearly all U.S. states imposed social distancing policies to combat the spread of illness as mentioned in this paper, and to the extent that work can be done from home, some workers moved their offices to their homes.
Abstract: In the wake of the coronavirus outbreak, nearly all U.S. states imposed social distancing policies to combat the spread of illness. To the extent that work can be done from home, some workers moved their offices to their abodes. Others, however, are unable to continue working as their usual tasks require a specific location or environment, or involve close proximity to others. Which types of jobs cannot be done from home and which types of jobs require close personal proximity to others? What share of overall U.S. employment falls in these categories? And, given that these jobs will be the most adversely affected, what are the characteristics of workers employed in these jobs? The final question is of particular importance as the government designs and implements policies aimed at helping the workers hardest hit by the pandemic.

Journal ArticleDOI
TL;DR: Examination of the most recently available data from both Los Angeles, CA, and Indianapolis, IN, shows that social distancing has had a statistically significant impact on a few specific crime types, however, the overall effect is notably less than might be expected given the scale of the disruption to social and economic life.

Journal ArticleDOI
TL;DR: Daily time-series of three different aggregated mobility metrics: the origin-destination movements between Italian provinces, the radius of gyration, and the average degree of a spatial proximity network are presented to monitor the impact of the lockdown on the epidemic trajectory and inform future public health decision making.
Abstract: Italy has been severely affected by the COVID-19 pandemic, reporting the highest death toll in Europe as of April 2020. Following the identification of the first infections, on February 21, 2020, national authorities have put in place an increasing number of restrictions aimed at containing the outbreak and delaying the epidemic peak. On March 12, the government imposed a national lockdown. To aid the evaluation of the impact of interventions, we present daily time-series of three different aggregated mobility metrics: the origin-destination movements between Italian provinces, the radius of gyration, and the average degree of a spatial proximity network. All metrics were computed by processing a large-scale dataset of anonymously shared positions of about 170,000 de-identified smartphone users before and during the outbreak, at the sub-national scale. This dataset can help to monitor the impact of the lockdown on the epidemic trajectory and inform future public health decision making.

Journal ArticleDOI
TL;DR: The government managed to control the pandemic rather quickly by adopting a suppression strategy, followed by a control strategy, based on a collaborative and pragmatic decision‐making style, successful communication with the public, a lot of resources and a high level of citizens' trust in government.
Abstract: This paper addresses how the Norwegian government has handled the corona pandemic. Compared to many other countries Norway performs well in handling the crises and this must be understood in the context of competent politicians, a high trust society with a reliable and professional bureaucracy, a strong state, a good economic situation, a big welfare state and low density of the population. The government managed to control the pandemic rather quickly by adopting a suppression strategy, followed by a control strategy, based on a collaborative and pragmatic decision-making style, successful communication with the public, a lot of resources and a high level of citizens' trust in government. The alleged success of the Norwegian case is about the relationship between crisis management capacity and legitimacy. Crisis management is most successful when it is able to combine democratic legitimacy with government capacity. This article is protected by copyright. All rights reserved.

Journal ArticleDOI
TL;DR: The response of Saudi Arabia to COVID-19 pandemic is reviewed and how did the experience learned from the Middle East respiratory syndrome coronavirus (MERS-CoV) epidemic since 2012 has helped the country to be better prepared for the current CO VID-19Pandemic.

Journal ArticleDOI
TL;DR: An overview of AI and big data, then identify the applications aimed at fighting against COVID-19, next highlight challenges and issues associated with state-of-the-art solutions, and finally come up with recommendations for the communications to effectively control the CO VID-19 situation.
Abstract: The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec. 2019. The COVID-19 pandemic has spread over 214 countries and areas in the world, and has significantly affected every aspect of our daily lives. At the time of writing this article, the numbers of infected cases and deaths still increase significantly and have no sign of a well-controlled situation, e.g., as of 13 July 2020, from a total number of around 13.1 million positive cases, 571,527 deaths were reported in the world. Motivated by recent advances and applications of artificial intelligence (AI) and big data in various areas, this paper aims at emphasizing their importance in responding to the COVID-19 outbreak and preventing the severe effects of the COVID-19 pandemic. We firstly present an overview of AI and big data, then identify the applications aimed at fighting against COVID-19, next highlight challenges and issues associated with state-of-the-art solutions, and finally come up with recommendations for the communications to effectively control the COVID-19 situation. It is expected that this paper provides researchers and communities with new insights into the ways AI and big data improve the COVID-19 situation, and drives further studies in stopping the COVID-19 outbreak.

Journal ArticleDOI
TL;DR: The study explores all the possible services among various city dimensions which can make a city smart and suggests multi-dimensional service classification along with required basic infrastructural development.

Journal ArticleDOI
TL;DR: In this paper, the authors present a four-stage crisis management model (calamity, quick and dirty, restart, and adapt), which provides insights and critical actions that should be taken to cope with the expected short and long-term implications of the crisis.

Journal ArticleDOI
TL;DR: A research agenda to address the COVID-19 pandemic that takes politics as a serious focus can enable the development of more realistic, sustainable interventions in policies and shape the broader understanding of the politics of public health.
Abstract: COVID-19 has created a ramifying public health, economic, and political crisis throughout many countries in the world While globally the pandemic is at different stages and far from under control in some countries, now is the time for public health researchers and political scientists to start understanding how and why governments responded the way they have, explore how effective these responses appear to be, and what lessons we can draw about effective public health policymaking in preparation of the next wave of COVID-19 or the next infectious disease pandemic We argue that there will be no way to understand the different responses to COVID-19 and their effects without understanding policy and politics We propose four key focuses to understand the reasons for COVID-19 responses: social policies to crisis management as well as recovery, regime type (democracy or autocracy), formal political institutions (federalism, presidentialism), and state capacity (control over health care systems and public administration) A research agenda to address the COVID-19 pandemic that takes politics as a serious focus can enable the development of more realistic, sustainable interventions in policies and shape our broader understanding of the politics of public health

Journal ArticleDOI
TL;DR: In this paper, the immediate impacts of COVID-19 on Qatari consumer awareness, attitudes, and behaviors related to food consumption were investigated based on an online survey in Qatar using a structured questionnaire.
Abstract: The government of Qatar took strong containment measures to prevent the spread of COVID-19 with restrictions on daily living such as social distancing and the closing of businesses and schools. While these measures are essential to stop the virus spreading, several voices came to warn of their potential disruptive impact on the agri-food system. Therefore, this paper investigates the immediate impacts of COVID-19 on Qatari consumer awareness, attitudes, and behaviors related to food consumption. The study is based on an online survey in Qatar using a structured questionnaire that was administered in the Arabic language through the Survey Monkey platform from 24 May until 14 June 2020. The results reveal clear changes in the way consumers are eating, shopping, and interacting with food. Indeed, the survey results suggested (i) a shift toward healthier diets; (ii) an increase in the consumption of domestic products due to food safety concerns; (iii) a change in the modality of acquiring food (with a surge in online grocery shopping); (iv) an increase in culinary capabilities; and (v) the absence of panic buying and food stockpiling in Qatar. The results are expected to inform current emergency plans as well as long-term food-related strategies in Qatar.

Journal ArticleDOI
17 Apr 2020-Gut
TL;DR: A risk grid is generated that groups patients into highest, moderate and lowest risk categories that allows patients to be instructed to follow the UK government’s advice for shielding, stringent and standard advice regarding social distancing, respectively.
Abstract: The COVID-19 pandemic is putting unprecedented pressures on healthcare systems globally. Early insights have been made possible by rapid sharing of data from China and Italy. In the UK, we have rapidly mobilised inflammatory bowel disease (IBD) centres in order that preparations can be made to protect our patients and the clinical services they rely on. This is a novel coronavirus; much is unknown as to how it will affect people with IBD. We also lack information about the impact of different immunosuppressive medications. To address this uncertainty, the British Society of Gastroenterology (BSG) COVID-19 IBD Working Group has used the best available data and expert opinion to generate a risk grid that groups patients into highest, moderate and lowest risk categories. This grid allows patients to be instructed to follow the UK government's advice for shielding, stringent and standard advice regarding social distancing, respectively. Further considerations are given to service provision, medical and surgical therapy, endoscopy, imaging and clinical trials.

Journal ArticleDOI
TL;DR: This paper analyzed the background of large-scale online education, clarified the foundation of large scale online education and revealed the impact of the largest online education activities on society and education in China.
Abstract: Online education is a hot topic that is widely concerned in various countries today. In the era of mobile internet, countries around the world have made various effective attempts at online education, but online education is more of a supplement to school education, and large-scale normal online education lacks cases. The “School’s Out, But Class’s On” campaign launched by the Chinese government during the COVID-19 epidemic created a large-scale, normal online education application. We analyzed the background of this large-scale online education, clarify the foundation of large-scale online education, and reveal the impact of the largest online education activities on society and education.