Scaling law of COVID-19 cases and city size and its evolution over time

Urban scaling law quantifies the disproportional growth of urban indicators with urban population size, which is one of the simple rules behind the complex urban system. Infectious diseases are closely related to social interactions that intensify in large cities, resulting in a faster speed of transmission in large cities. However, how this scaling relationship varies in an evolving pandemic is rarely investigated and remains unclear. Here, taking the COVID- 19 epidemic in the United States as an example, we collected daily added cases and deaths from January 2020 to June 2022 in more than three thousand counties to explore the scaling law of COVID- 19 cases and city size and its evolution over time. Results show that COVID- 19 cases super- linearly scaled with population size, which means cases increased faster than population size from a small city to a large city, resulting in a higher morbidity rate of COVID- 19 in large cities. Temporally, the scaling exponent that reflects the scaling relationship stabilized at around 1.25 after a fast increase from less than one. The scaling exponent gradually decreased until it was close to one. In comparison, deaths caused by the epidemic did not show a super-linear scaling relationship with population size, which revealed that the fatality rate of COVID-19 in large cities was not higher than that in small or medium-sized cities. The scaling exponent of COVID- 19 deaths shared a similar trend with that of COVID- 19 cases but with a lag in time. We further estimated scaling exponents in each wave of the epidemic, respectively, which experienced the common evolution process of first rising, then stabilizing, and then decreasing. We also analyzed the evolution of scaling exponents over time from regional and provincial perspectives. The northeast, where New York State is located, had the highest scaling exponent, and the scaling exponent of COVID- 19 deaths was higher than that of COVID-19 cases, which indicates that large cities in this region were more prominently affected by the epidemic. This study reveals the size effect of infectious diseases based on the urban scaling law, and the evolution process of scaling exponents over time also promotes the understanding of the urban scaling law. The mechanism behind temporal variations of scaling exponents is worthy of further exploration. © 2023 Science Press. All rights reserved.

Farmers' willingness to stabilize the land contract relationship facing the upcoming expiry of land contracts

On the verge of the expiry of land contracts, it is theoretically and practically important to explore the willingness and motivations of farmers to stabilize the land contract relationship, with regards to protecting their land contract rights, addressing potential contradictions during the land contract extension, and maintaining the stability of contracted land. Using China Land Economic Survey Data in 2020, this paper explores the impact of differences in areas per capita of household contracted land on farmers' willingness to stabilize land contract relationship. The findings show that most farmers support the stability of land contract relationship;the smaller areas per capita of contracted land are occupied by households than the average in the village, the weaker of the farmers' willingness to stabilize the land contract relationship. The difference between the areas per capita of contracted land ownership of a household and the average in the village has a greater impact on the willingness to stabilize land contract relationship for middle-and low-income farmers, while the development of land transfer market does not increased the willingness. Affected by the COVID-19 pandemic, the land plays a more important role of employment security, which reduces farmers' willingness to stabilize the land contract relationship. Furthermore, the promotion of socialized agricultural service has also mitigated the willingness of farmers o stabilize the land contract relationship.

Development of a Web Application for Telecommuting Capability Assessment Embedded with Fuzzy Model

By early 2020, COVID-19 has caused a global pandemic which led to an enormous number of challenges worldwide in various sectors. The Philippine government has implemented multiple quarantine guidelines and travel restrictions to ensure the people's health and safety. However, the International Labour Organization projected an initial economic and labor market disruption affecting 11 million workers, or about 25% of the Philippine workforce, due to the pandemic. Therefore, the government, thru the concerned agencies continues to encourage employers to implement alternative work plans such as a work-from-home (WFH) operation in compliance with the established regulations in line with existing laws and policies. In line with the telecommuting concept, various research has already been performed, however, some were regarded inconclusive and require further study. Hence, in this study, a Web application was developed along with an embedded fuzzy model to evaluate the telecommuting capability assessment of employees. The proposed web application with embedded fuzzy model is capable of providing capability assessment using the four main input variables which are also relatively characterized for possible telecommuting cost assessment. © 2022 IEEE.

Transforming India's Agrarian Society in a Post-COVID World: Prospects and Challenges

The need for change in India's agrarian sector came into sharp focus with the COVID-19 pandemic. This paper traces the imperatives that have shaped the trajectory of the development of the rural economy in post-independence India including the social, cultural and political matrix within which the processes and activities of the rural economy are carried out. It also explores the possibilities of social, cultural and political change based on a perspective that seeks to reconcile the imperatives of unity and social justice with a practical reading of the ground reality in India's villages. The paper suggests reform in social, cultural and political structures and practices at the village level along with economic prescriptions such as increasing the marketability of agricultural produce and creating jobs in the manufacturing sector to absorb workers displaced from the agricultural sector. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

Mobile Intellectual Property Marketplace Model for Commercialization of Intellectual Property Rights

This study discusses the development of the intellectual property (IP) marketplace model based on mobile location-aware computing. Referring to statistics released by the Directorate General of Intellectual Property, there has been a growth in the number of intellectual property rights (IPR) applications in recent years, even during the Covid-19 pandemic. On the other hand, after IPR protection, the commercialization of IPR is one of the pillars of the IP system. Nevertheless, research institutions such as LIPI/BRIN indicate that the potential for commercializing IPR is still low. Furthermore, the opportunity is that cellular networks have covered almost all parts of Indonesia, and there has been significant growth in smartphone users. The method utilized in this research is prototyping. This research results from an IP marketplace model based on mobile location-aware computing in Indonesia. Using the smartphone user's location, contextual IPR information from the user's location related to IPR will enter their smartphone. The experimental results indicate that the application can display a list of IPR information according to the smartphone user's location. Furthermore, the search feature can forage IPR listing information based on user queries. © 2022 IEEE.

The impact of Covid-19 on the capital structure in emerging economies: evidence from India

PurposeCapital structure is an important corporate financing decision, particularly for companies in emerging economies. This paper attempts to understand whether the pandemic had any significant impact on the capital structure of companies in emerging economies. India being a prominent emerging economy is an ideal candidate for the analysis.Design/methodology/approachThe study utilizes three leverage ratios in an extended market index, BSE500, for the period 2015–2021. The ratios considered are short-term leverage ratio (STLR), long-term leverage ratio (LTLR) and total leverage ratio (TLR). A dummy variable differentiates the pre-epidemic (2015–2019) and pandemic (2020–2021) period. Control variables are used to represent firm characteristics such as growth, tangibility, profit, size and liquidity. Dynamic panel data regression is employed to address endogeneity.FindingsThe findings point out that Covid-19 has had a significant, negative effect on LTLR, while the impact on STLR and TLR was insignificant. The findings indicate that companies based in a culturally risk-averse environment, such as India, would reduce the long-term debt to avoid bankruptcy in times of uncertainty.Research limitations/implicationsThe study covers the impact of the pandemic on Indian companies. Hence, generalization of the findings to global context might not be valid.Practical implicationsTo maintain economic growth in the post-crisis period, Indian policymakers should ensure accessibility to low-cost capital. The findings provide impetus to deepen the insignificant corporate bond market in India for future economic revival.Originality/valueDeveloping countries are struggling to revive the economies postpandemic. This is particularly true for Asian economies which are heavily reliant on banks for survival. This research finds evidence to utilize bond market as a source of raising capital for economic revival.

Labour Reforms and Economic Justice: Inequality, the COVID-19 Pandemic and Regionalism

Analysing the patterns of inequality in India, this paper argues that those at the bottom of the income pyramid lack the enabling conditions of access to good healthcare and education to break out of the cycle of poverty. Addressing extreme inequalities would require not just the redistribution of wealth but also a transformation in the structure of the economy so that the processes of income generation become more equitable. A beginning in this direction would require a fundamental change in the relationship between labour and capital. Analysing recent legislations to reform labour laws within India, the author observes that while they provided some benefits to the unprivileged working classes, the overall effect has been to weaken labour unions and relax labour laws making it easier for them to be exploited. Enduring change will require new development models based on strong normative frameworks for ensuring equity and sustainability. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2023.

Risky business: how Peru's wildlife markets are putting animals and people at risk

This publication presents Peru's illegal wildlife trade activity before and after Covid-19 pandemic which creates a perfect conditions for zoonotic emerging infectious diseases such as SARS-CoV-2 to emerge and spread among animals and people, thus recommendations to prevent this scenario are highlighted.

Local Regulations Compliance Measures for Job Retention of Employees during Covid Crisis through Adaptability Factors on Monetary Fringe Benefits

The aftermath of COVID-19 has been increasing the rate of job losses and unemployment crises all around the globe. It has mostly affected the financial growth of a country and reduced the ability of the inhabitants to cope with the increasing rate of cost of living all around the globe. The disruptive scenario of business during the COVID pandemic has caused critical financial and operational loss for a large number of business companies in the worldwide market. The fear of exposure to the covid virus and the threat of infection of the covid has reduced performance and a large number of employees quit their jobs during the pandemic. The mental vulnerability and physical risk mostly caused a serious reduction rate in employee retention rates all around the globe. The government and the administration in various areas provide key support and monetary fringes to enhance the job retention rate of the employees within different places which helps business companies to face lesser disruption in business during a pandemic. This study aims to evaluate local regulations and compliance measures for job retention of employees during covid crisis through adaptability factors on monetary fringe benefits. Secondary qualitative data has gathered within the process while the pieces of information onward 2019 in authentic and peer-reviewed sites were taken as the inclusion category within the study.

Assessing research on the COVID-19 pandemic and tourism published in English-language journals: 7research progress and academic contributions

This article aims to address the adequacies of the preceding review studies, which have largely failed to systematically analyze the academic contributions (notably, theoretical and methodological contributions) made by the extant studies pertinent to COVID-19 and tourism. Specifically, we have collected up to 245 articles indexed in top 10 academic journals in the field of tourism studies, including Annals of Tourism Research, Tourism Management, Journal of Travel Research, Journal of Sustainable Tourism and so forth. The keywords used for search involve "COVID-19" "COVID" "pandemic" "epidemic" "coronavirus" and "corona virus". The publication dates of the articles all fall somewhere between the start of the pandemic in January, 2020 and the 31st of August, 2021. Based upon the analysis framework proposed by authors, according to John Tribe's essay, and that formulated by Colquitt and Zapata-Phelan, this article evaluates the extent to which the sampled studies have made a contribution to the extant theories and methodology related to tourism.As the research outcomes manifest, first, the extant studies could be categorized according to their research themes. Specifically, most research shed light on tourist behaviours and the impacts of the COVID-19 pandemic on tourism development, particularly on the national and destinational levels. In contrast, very few has reflected upon the changes in tourism as a discipline, in general, and the relevant research approaches, in specific. Second, roughly half of the sample articles are quantitative studies, most of which are in favour of either questionnaires or statistics. In contrast, qualitative studies only take a lesser share. Third, with respect to academic contribution, it is clear that significant theoretical contribution is rarely made in the sampled studies. Most are found oriented to solving real-world problems. This imbalance would, perhaps, pose a threat to the growing tourism research in the long run. The reasons are manifold, but we focus upon triple key human and nonhuman factors, namely, academics, academic journals, and the rule and regulations by institutions (e.g., universities), which might have conspired to manipulate the process of (co-)producing tourism knowledge. Thus, to solve practical questions in the real time has become popular among academics, who might be increasingly reluctant to spend sufficient time and energy on theory building itself. Nevertheless, theory building, after all, is vitally significant, not least because it arguably paves a base stone for the future of tourism research. As such, we suggest that the current tourism knowledge production system needs to be reformed, encouraging more academics in future to focus on the theoretical significance of their own studies. This article has some limitations, as we only target the articles indexed in the top 10 journals in tourism. It means that our research findings might be less representative than expected. Moreover, it might be better to evaluate respectively the significance of the studies in different tourism subjects, whose fabrics might vary from one to another. In so doing, more nuanced insights might be mobilized in this aspect, providing most useful guidance to other scholars with utmost interest in the production of tourism knowledge.

Probability of Infectious Disease in Humans during Epidemic

Popular SIR models and their modifications used to generate predictions about epidemics and, specifically, the COVID-19 pandemic, are inadequate. The aim of this study was to find the laws describing the probability of infection in a biological object. Using theoretical methods of research based on the probability theory, we constructed the laws describing the probability of infection in a human depending on the infective dose and considering the temporal characteristics of a given infection. The so-called generalized time-factor law, which factors in the time of onset and the duration of an infectious disease, was found to be the most general. Among its special cases are the law describing the probability of infection developing by some point in time t, depending on the infective dose, and the law that does not factor in the time of onset. The study produced a full list of quantitative characteristics of pathogen virulence. The laws described in the study help to solve practical tasks and should lie at the core of mathematical epidemiological modeling.Copyright © 2022 Obstetrics, Gynecology and Reproduction. All rights reserved.

What's it going to take? Lessons learned from COVID-19 and worker mental health in the Australian construction industry

In Australia, rates of suicide and poor mental health among construction workers were high before the COVID-19 pandemic. "Lock downs”, "restrictions”, "social distancing” and legislative changes responding to the pandemic have likely exacerbated the working conditions that foster poor mental health. This study analyses the way in which workplace health and safety (WHS) is regulated in Australia against the backdrop of existing research relating to the development of Australia's WHS laws, and the state of mental health of those working in Australia's construction industry. This study was conducted using a doctrinal research methodology and utilising legal theory. This study assesses the capacity of the Australian WHS regulatory system to protect construction workers' mental health by examining and interpreting key provisions in Australia's WHS laws. It then uses a regulatory theory, responsive regulation, to explain the inconsistency between the capacity of those laws to safeguard mental health and the very poor state of mental health of Australia's construction workers. The conclusion reached is that there is scope to improve current WHS laws to better protect construction workers' mental health. A recommendation is made, that current WHS laws are changed to prescribe minimum standards of worker mental health, and mandate control measures to minimise and/or eliminate psychosocial risks. It is submitted that these changes in the law will contribute to a changed culture in Australia's construction sector, which is supportive of mentally healthy workplaces and workers. © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Randomized regulation: the impact of minimum quality standards on health markets

We report results from the first randomization of a regulatory reform in the health sector. The reform established minimum quality standards for patient safety, an issue that has become increasingly salient following the Ebola and COVID-19 epidemics. In our experiment, all 1348 health facilities in three Kenyan counties were classified into 273 markets, and the markets were then randomly allocated to treatment and control groups. Government inspectors visited health facilities and, depending on the results of their inspection, recommended closure or a timeline for improvements. The intervention increased compliance with patient safety measures in both public and private facilities (more so in the latter) and reallocated patients from private to public facilities without increasing out-of-pocket payments or decreasing facility use. In treated markets, improvements were equally marked throughout the quality distribution, consistent with a simple model of vertical differentiation in oligopolies. Our paper thus establishes the use of experimental techniques to study regulatory reforms and, in doing so, shows that minimum standards can improve quality across the board without adversely affecting utilization.

Approach for Blockchain Technology Implementation in Indian Courts for Speedy Disposal of Cases

Blockchain as a technology if implemented judiciously will prove to be effective and efficient for both private as well public sector enterprises. The use cases in Blockchain provide ample demonstration of improvement in the processes. The paper intends to provide insight into the application of Blockchain in the Indian Judiciary System. Some of the benefits as envisaged by the Blockchain implementation are time-efficient, cost-effective, greater security, and transparency resulting enhancement of trust in the overall working of the legal system. India's global counterparts such as Estonia, China, the UK, Ghana, Ukraine, Canada, and Sweden have already integrated the Blockchain into their legal system. The judicial system in India is under tremendous pressure. According to the data from National Judicial Data Grid, 4.7 Crore cases are pending as on May 2022 at different levels of the judiciary, out of which 1.82 Lac cases have been pending for at least 30 years. For many years courts have been following the traditional working system, but during the Covid-19 pandemic, the courts have adopted the e-justice paradigm via online case hearings and video conferencing. Since, the system has already experienced the use of digital platforms, the experimentation if continued post-pandemic will yield a faster and better result. The technological advancements should complement the traditional working systems for the greater benefit of the entire system. The overall objective of the paper is to explore the application of Blockchain that will help improve the efficiency and transparency in operations in the Indian Judicial system. © 2023 IEEE.

Trends of cannabis use and related harms before and after legalization for recreational purpose in a developing country in Asia.

BACKGROUND: Thailand was the first country in Asia to legalize the use and purchase of cannabis leaves in February 2021 and the whole plant in June 2022 after the 2019 allowance for medical purposes. The study explored trends in cannabis use in Thailand before and after the recreational cannabis allowance was imposed. METHODS: Cannabis and other variables of substance use, cannabis use disorder, and attitude towards cannabis of the Thai population aged 18 to 65 years in 2019 (n = 5,002), 2020 (n = 5,389) and 2021 (n = 5,669) were obtained from annual surveys conducted in the last two months of each year by the Centre for Addiction Studies. The surveys were repeat cross-sectional surveys of the general population of Thailand. Repeated variables from at least two annual surveys were included for analysis using the Chi-square test and the t-test. RESULTS: The prevalence of cannabis use in the past year had increased from 2.2% in 2019 to 2.5% and 4.2% in 2020 and 2021 respectively, while those of methamphetamine, alcohol, and tobacco use had decreased. Trends in past-year drinking/eating cannabis products had increased, especially among the middle age group (40-49 years) from 2.1% (95% confidence interval (CI): 1.3, 3.1) in 2019 and 1.1% (95% CI: 0.6, 1.9) in 2020 to 3.8% (95% CI: 2.8, 5.0) in 2021. The younger population aged 18-19 had an increase in cannabis smoking from 0.9% (95% CI: 0.1, 3.3) in 2019 to 2.0% (95% CI: 0.5, 5.1) and 2.2% (95% CI: 0.7, 5.1) in 2020 and 2021 respectively. Symptoms of cannabis use disorder among cannabis users increased from 2019 to 2020 and then reversed afterwards in 2021. Thais had greater health knowledge about the benefits and harms of cannabis and had attitudes toward more harm of cannabis in 2021; however, 35.6% or a third of the sample in 2021 truly believed that cannabis was a cure for cancer, and 23.2% or one-fourth were uncertain or did not believe that cannabis was addictive. CONCLUSIONS: Although most of the substances had a lower prevalence of use during the COVID-19 pandemic in Thailand, cannabis had a higher use after legalization. Thai youth had a growing trend to smoke cannabis.

Swine breeding in the villages of Valcea county, Oltenia (Romania) - tradition or necessity?

Food supply has been a constant source of concern for mankind. In the present context, with food security a priority of European and national policies, an analysis of pig farming in a representative NUTS2 administrative level of Romania that emphasizes the proportion of households raising at least one pig and the main factors influencing farmers to adopt or give up swine breeding could allow a much clearer understanding of this phenomenon that lies at the border between cultural tradition and socio-economic necessity. This study uses mixed methods that complement each another to help reveal this complex phenomenon in the analyzed territory. Cluster analysis shows the concentration of swine breeding and maps its spread in terms of both subsistence and larger farms, and qualitative interviews prove the motivation of farmers to continue in this occupation. As a primary result, the study visualizes the spatial distribution of pig farming in the rural environment of Valcea county, Romania, from a diachronic perspective in the post-communist period. It also reveals areas of differing concentrations of both very small-sized farms, which prioritize meeting their own food needs, and larger farms, which prioritize commercial production to supplement their revenue streams. Both categories, but particularly the latter, are of particular interest in a period in which the socio-economic environment after 1990 - marked by economic restructuring, unemployment, population migration, the economic crisis of 2008-2010, the pandemic of 2020-2021, and the most recent energy crisis - periodically highlights the importance of rural areas in ensuring food security and sufficiency at both the local and regional levels.

Application of Benford's law in agricultural production statistics

The importance of food supply throughout the world has once again shown its significance in the COVID-19 pandemic period. A continuous food supply is possible with correct agricultural programming. An effective agricultural product programming can only be possible by obtaining precise agricultural data. However, it is very difficult to gather accurate agricultural production statistics from all over the world and confirm their accuracy. In this study, the compatibility of the production statistics of six important agricultural products (wheat, rice, potato, onion, banana, apple) which had been collected from local sources, and had published as opensource by the Food and Agriculture Organization of the United Nations, with Benford's law was examined for the first time. Data for the last two decades are used to ignore the impact of annual fluctuations. The compatibility of theoretically expected and observed data was tested by Chi-square (X2) and Mean Absolute Deviation (MAD) tests. Although inconsistencies were found in some data by examining the numbers in the first, second, and first two digits, in general, the MAD test results gave a mostly concordant result.

Guidelines for prevention and control of coronavirus disease 2019（tenth edition）

In order to guide all localities to do a good job in the prevention and control of the new coronavirus infection (COVID-19) after the implementation of "Class B and B Control", this plan is formulated in accordance with the "Law of the People's Republic of China on the Prevention and Control of Infectious Diseases". 1. Guiding principles Guided by Xi Jinping Thought on Socialism with Chinese Characteristics for a New Era, adhere to the principle of "prevention first, combination of prevention and treatment, scientific law, classification and classification", adhere to the combination of normalized prevention and control and emergency response during epidemics, and compact "Quartet Responsibility" improves the sensitivity of monitoring and early warning, strengthens the protection of key populations, realizes the work goal of "protecting health and preventing severe illness", protects people's life safety and health to the greatest extent, and minimizes the impact of the epidemic on economic and social development.

Legal Incentives and Constraints on Innovation: Keeping the Balance

The COVID-19 pandemic forced civil society and business to face a new reality where much greater reliance needed to be placed on networked devices and internet distributed communications, including the provision of services ranging from medical advice to food, entertainment and even the facility to interact with family. The ability to meet in-person with family, friends, colleagues, business associates or customers was severely restricted leaving internationalisation as a utopian dream as borders were closed, students were denied access to a physical classrooms and businesses had to rapidly "pivot” or fail. These alternatives to real life have seemed less appealing to many, with every aspect of life "going online”, whether virtualectures, exams, meetings, mediations, court appearances, job interviews, shopping for a piece of cheese or starting a new trade relationship. Much innovation over the last two years has been around deploying online business models. There has also been a wider use of artificial intelligence to support "efficient” operations partly stimulated by the falling staffing levels due to the pandemic directly through sickness or forced isolations, or indirectly by a growing sense of the futility of working for a business, known as the Great Resignation ("Over the 12 months ending in January 2022, hires totalled 76.4 million and separations totalled 70.0 million…” indicating a huge refocusing on jobs in the USA) This paper looks at the challenge for legal systems to pivot around the growing trends in deployments of online innovation. Some businesses are now widely deploying software-based analysis systems, such as Airbnb, which is using them to "verify the identity and trustworthiness of a user of an online system” and flag potential guests who may be problematic. Although Airbnb is a multibillion-dollar business, it is a good example of how through using publicly available data, user supplied information, and smart software (artificial intelligence) a business can make predictions on the behaviour of its potential customers. Other AI resources have been creating new gaming scenarios, reporting on the news, and even creating new artworks and music. These kinds of use of AI in the marketplace have challenged the legal frameworks that support individual privacy and also ideas around human creativity. © 2022, Academic Conferences and Publishing International Limited. All right reserved.