Spatiotemporal Modeling of the Association between Neighborhood Factors and COVID-19 Incidence Rates in Scotland

This study aims to investigate the association between neighborhood-level factors and COVID-19 incidence in Scotland from a spatiotemporal perspective. The outcome variable is the COVID-19 incidence in Scotland. Based on the identification of the wave peaks for COVID-19 cases between 2020 and 2021, confirmed COVID-19 cases in Scotland can be divided into four phases. To model the COVID-19 incidence, sixteen neighborhood factors are chosen as the predictors. Geographical random forest models are used to examine spatiotemporal variation in major determinants of COVID-19 incidence. The spatial analysis indicates that proportion of religious people is the most strongly associated with COVID-19 incidence in southern Scotland, whereas particulate matter is the most strongly associated with COVID-19 incidence in northern Scotland. Also, crowded households, prepandemic emergency admission rates, and health and social workers are the most strongly associated with COVID-19 incidence in eastern and central Scotland, respectively. A possible explanation is that the association between predictors and COVID-19 incidence might be influenced by local context (e.g., people's lifestyles), which is spatially variant across Scotland. The temporal analysis indicates that dominant factors associated with COVID-19 incidence also vary across different phases, suggesting that pandemic-related policy should take spatiotemporal variations into account. © 2023 by American Association of Geographers.

Care and domestic work through crises. Juggling with space and time in athens

The paper discusses changing conditions of care and domestic work in Greece in the context of the ongoing health crisis, which follows a long period of successive and simultaneous crises (financial, social, pandemic, refugee, war) and extreme neoliberal policies implemented to control them. The focus is on the burden that women (have to) assume in conjunctures which reinstate care (and domestic work) as "women's work”, with particular emphasis in the periods of "lockdown” adopted by the government in order to control the spread of the Covid-19 pandemic. The general overview is supported by research in Athens and material from interviews with women who juggle with space and time as they struggle to care for the self and for others while adhering to personal goals and aspirations, as well as to the "social benefits” of previous decades of relative prosperity. © 2023, Universitat Autonoma de Barcelona. All rights reserved.

Potential acceptance of COVID-19 vaccination among population residing in the urban and rural field practice areas of a tertiary care teaching hospital of West Bengal: a comparative study

Background: "Covishield" and "Covaxin" were the two vaccines which were approved for emergency use in India. As there is uncertainty regarding these vaccines, this study aimed to estimate the proportion of acceptance of vaccination against COVID-19 in West Bengal;to identify the possible barriers of vaccine acceptance prevalent among the study population and;to find out the association of acceptance of COVID-19 vaccination with the socio-demographic and other predictor variables. Methods: Oobservational study with cross sectional design was conductedon 294 participants in Muchisa, Budge Budge II and Ward No. 81 of Borough 10, Kolkata Municipal Corporation (KMC) selected by Stratified Random Sampling in 2021 using a predesigned, pretested and structured schedule. The statistical analysis was done using Microsoft Office Excel 2007 and Statistical Package for the Social Sciences Version 16.0. The data were explored using Pearson's chi-square test and logistic regression. A p-value of <0.05 was considered significant. Results: The potential acceptance of Covid-19 vaccination was 59.5% with higher adoption in urban population. The most potential barrier in acceptance of vaccine was "fear of side effects". Higher level of education and history of Covid-19 in the locality were associated with higher acceptance of the vaccination in both the urban and rural areas. Conclusion: A study emphasized on the need for mass campaigns and other behavior change communication activities for addressing the myths surrounding the disease and the newer vaccines and hence improving the currently low vaccine acceptance.

Descriptive epidemiological study of coronavirus disease distribution in specific geographic location: unique public health practice in outbreak analysis

Since the emergence of the Coronavirus disease outbreak, the world has witnessed great changes that have impacted humanity. A study of the pattern of the pandemic would be of great importance to understand the trending behavior for the spreading of the disease within any country. Visualization of the outbreak progression - through accumulated records in the datasets - using statistical tools showed that the initial fast increase rate of the affected cases in the original province in China was followed by a stability period till the end of the reporting date. Hong Kong - which was next to Hubei province in the cases - showed a different surge of slow growth curve with distinct major wave levels. The remaining territories showed a much smaller magnitude of morbidities. However, investigating the similarity levels for the daily kinetics of cases showed a clustering tendency between different political regions suggesting a significant correlation. The technique would be useful for public health authorities work.

Variations in the Spatial Distribution of Smart Parcel Lockers in the Central Metropolitan Region of Tianjin, China: A Comparative Analysis before and after COVID-19

The COVID-19 pandemic has led to a significant increase in e-commerce, which has prompted residents to shift their purchasing habits from offline to online. As a result, Smart Parcel Lockers (SPLs) have emerged as an accessible end-to-end delivery service that fits into the pandemic strategy of maintaining social distance and no-contact protocols. Although numerous studies have examined SPLs from various perspectives, few have analyzed their spatial distribution from an urban planning perspective, which could enhance the development of other disciplines in this field. To address this gap, we investigate the distribution of SPLs in Tianjin's central urban area before and after the pandemic (i.e., 2019 and 2022) using kernel density estimation, average nearest neighbor analysis, standard deviation elliptic, and geographical detector. Our results show that, in three years, the number of SPLs has increased from 51 to 479, and a majority were installed in residential communities (i.e., 92.2% in 2019, and 97.7% in 2022). We find that SPLs were distributed randomly before the pandemic, but after the pandemic, SPLs agglomerated and followed Tianjin's development pattern. We identify eight influential factors on the spatial distribution of SPLs and discuss their individual and compound effects. Our discussion highlights potential spatial distribution analysis, such as dynamic layout planning, to improve the allocation of SPLs in city planning and city logistics.

Italian adolescents after the pandemic in the Istituto Superiore di Sanita - the National Institute of Health in Italy - snapshot: first results from the HBSC 2022 surveillance

The international multicentre study HBSC (Health Behaviour in Schoolaged Children) conducted since 1983 in collaboration with the World Health Organization, has been adopted in our country as the national adolescent health surveillance system since 2017. The main aim is to describe and understand health-related behaviour in 11-, 13- and 15-year-olds in approximately 50 countries between Europe and North America. The study investigated different aspects, such as nutrition, risk behaviors, school and family life and social media use. In addition, the latest survey involved 17-year-old adolescents and included a section on the impact of the COVID-19 pandemic.

The Ethics of Location Tracking During the COVID-19 Pandemic and Beyond: Building Awareness and Consensus

This article highlights the relatively limited but growing discussion surrounding ethical guidelines for the use of location tracking technology. After a review of recent literature related to location data and geoprivacy, this article is divided into two sections: The first highlights views of public officials and location tracking experts over the potential misuse of location data, especially in the context of the COVID-19 pandemic. The data come from available transcripts of the Location Tech Task Force organized in 2020 by the American Geographical Society as part of its EthicalGEO initiative. The second section documents various institutional approaches to elevate the dialogue and inform governance of location-based data and technology, including the development of the Locus Charter, an emerging international framework on the ethical use of location data. In conclusion, we urge the professional and academic geographic communities to engage with the elaboration and dissemination of ethical frameworks to guide the use and management of data from location tracking technology. (English) [ FROM AUTHOR] La reciente erudición geográfica feminista ha urgido a los geógrafos a distanciarse de los enfoques androcéntricos y eurocéntricos, y a abrir la disciplina a perspectivas diversas. En tanto que numerosos estudios se han enfocado a diversificar y descolonizar la geografía por medio de prácticas de reclutamiento, tutoría y producción de conocimiento, solo muy pocos han analizado cómo se traduce la diversidad en las prácticas de enseñanza, en particular en contextos donde la diversidad está relativamente bien establecida entre el personal. Basado en una encuesta por cuestionario entre el personal docente, en un análisis del contenido de los programas de los cursos y un análisis cuantitativo de los datos de los empleados del departamento, este artículo explora hasta qué punto la diversidad dentro del departamento conduce a la diversidad en las prácticas de la enseñanza. Desarrollando un marco de los espacios de la diversidad, analizamos tres espacios que potencialmente permiten practicar la diversidad en la enseñanza: El espacio académico del departamento promueve la libre elección de los tópicos de investigación y enseñanza, y las condiciones flexibles del trabajo;el espacio del departamento permite a los individuos asumir compromisos en la configuración de la enseñanza geográfica;y el espacio del conocimiento promueve la diversidad como un ideal. Sin embargo, encontramos que practicar la diversidad en geografía implica enfrentar los retos de las estructuras universitarias tradicionales y neoliberales y de las jerarquías formales y percibidas. Aún más, existe una necesidad de prácticas concretas sobre diversidad a niveles individuales e institucionales para llevar activamente las diversas perspectivas al salón de clase. (Spanish) [ FROM AUTHOR] 女权地理学的最新研究, 敦促地理学者远离以男性和欧洲为核心的方法, 接受不同的观点。许多研究都侧重通过招聘、指导和知识生产, 去实现地理学的多样化和去殖民化。只有少数研究分析了多样性如何转化为教学实践（尤其是在教职员工多样性相对稳定的情况下）。基于教师问卷调查、课程大纲内容分析以及对地理系员工数据的定量分析, 本文探讨了地理系的多样性在多大程度上导致教学实践的多样性。我们建立了一个多样性的空间框架, 分析了可能实现教学多样性的三个空间："学术空间"促进对研究课题、课程题目和灵活工作条件的自由选择, "地理系空间"使个人能够参与地理教学的建设, "知识空间"促进理想的多样性。然而, 传统的和新自由主义的大学体系以及严格的等级制度, 是实现地理多样性的挑战。此外, 还需要在个人和体制层面采取切实的多样性实践, 积极地将不同观点带入课堂。 (Chinese) [ FROM AUTHOR] Copyright of Professional Geographer is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Explaining Firm Performance During the COVID-19 With fsQCA: The Role of Supply Network Complexity, Inventory Turns, and Geographic Dispersion.

The COVID-19 pandemic has significantly affected firm performance. As a result, many studies have examined the significance of supply network complexity. Our paper uses the fuzzy set qualitative comparative analysis (fsQCA) method to investigate the causal relationships among the supply network complexity, geographic dispersion, inventory turns, and firm performance. Using a sample of 263 Chinese listed firms, we find that no single factor is necessary to achieve high firm performance during COVID-19 and reveal four paths to produce high performance: operational level driven, supply base complexity driven, and customer base complexity driven with supplier distance, and supply network complexity absence. Furthermore, our findings suggest that supply-based complexity-driven and customer-based complexity-driven can improve firm performance, but not all supply network complexity dimensions can improve firm performance. Hence, firms need to choose the suitable path based on their specific situations.

Understanding the shared working spaces: a Geography of Co-working supply in Delhi.

The present paper investigates the location pattern of co-working spaces in Delhi which is absent in the existing body of knowledge. Delhi is a political, administrative, educational, scientific and innovation capital that accommodates many co-working spaces in India. We developed Ordinary least squares (OLS) and geographically weighted regression (GWR) models to understand the associations of co-working spaces of digital labourers with other urban socio-economic, services and lifestyle variables in Delhi using secondary data for 117 coworking locations in 280 municipal wards of NCT-Delhi. Model diagnostic suggested that the GWR model provides additional information regarding geographical distribution of coworking spaces, and density of bars, median house rent, fitness centres, metro train stations, restaurants, cinemas, cafés, and creative enterprises are statistically significant parameters to estimate them. The importance of coworking spaces has increased in the post-disaster period, so this study informs public policies to benefit people and companies who choose coworking routes, and recommends urban planners, developers, and real-estate professionals to consider the proximity of creative industries in planning and developing coworking spaces in the future. Also, in the post COVID-19 period, to increase local jobs and long-term place sustainability, a localised policy intervention for coworking spaces in Delhi is highly recommended.

Crisis Readiness: Revisiting the Distance Framework During the COVID-19 Pandemic.

While CSCW researchers have studied collaboration across distance for more than two decades, the scale and context of geographically distributed work during the pandemic is unprecedented. Working from home as the default setting during the COVID-19 pandemic provides a unique opportunity for CSCW research to explore and develop new understandings of what it entails to engage in distributed collaborative work during a global crisis. In this paper, we revisit the distance framework, originally developed by Olson and Olson in 2000, through empirical data collected during the critical moments where COVID-19 was declared a pandemic and the world shut down: namely March 2020. We use the data to interrogate the distance framework and to extend it with a new dimension - Crisis Readiness. Crisis Readiness stipulates that for organizations to successfully respond to crises, four factors are required: 1) the ability to respond fast with dramatic measures; 2) the ability to supply adequate infrastructure to their employees; 3) the ability to adapt work practice responding to new work and life conditions; and 4) the ability to handle multiple and diverse interruptions both at the individual and organizational levels. Our contribution to CSCW research is a revised distance framework, which demonstrates that for geographically distributed work to be successful during a global crisis, cooperating actors need to achieve Common Ground, engage in different types of coupled work, be ready for collaboration and collaboration technology - and lastly, work in an organization which demonstrates Crisis Readiness.

Remote Working and New Working Spaces During the COVID-19 Pandemic—Insights from EU and Abroad

The COVID-19 pandemic has accelerated the rise of remote working worldwide and less central areas have become more and more attractive for these workers. Consequently, remote workers started working from home, in new working spaces, and from everywhere. These changes have affected workers' wellbeing, and cities, peripheral are rural areas. The chapter explores why people decided to keep working remotely even after the pandemic restrictions were cancelled. Furthermore, we give an empirical snapshot of the actual situation of remote workers and how this has and will change geographical patterns. The impact of remote working on wellbeing is described, according to the literature, and some thoughts on how remote working affects the future of coworking spaces and hybrid spaces are presented. © 2023, The Author(s).

Teaching Geography in the Midst of the COVID-19 Pandemic in a Chinese University: A Case Study of Beijing Normal University

Information and communication technologies (ICTs) have been making higher education confront great challenges globally, while COVID-19 has been speeding up the necessity to overcome them. Traditionally, geographical teaching in China involves indoor experiments, fieldtrips and other practical activities in addition to lectures in class. We asked what impacts or changes the COVID-19 epidemic would have on geographical education in universities of China. Based on the case of Beijing Normal University, this chapter aims to examine new learning patterns as a response to the outbreak and the real impacts in China. Questionnaire surveys and typical cases are used to examine the teaching arrangements and effects in three periods, viz., the early stage of the outbreak when it was necessary to prepare contingent teaching plans, the middle and late stage of the spring semester to examine the adaptations and feedback of online learning, and later when traditional teaching resumed in the autumn semester of 2020 to evaluate online learning. This research aims to seek some innovative measurements for reforming geographical education in Chinese universities in post COVID-19 pandemic times. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

Food-based bilateral trade balance performances between the United States and Canada under COVID-19.

The food industry has been greatly impacted by COVID-19, causing governments to restrict food exports to prevent shortages. A negative food trade balance reveals a country's dependence on imports and underscores the significance of a sound food policy. Hence, for the first time, this study examines the J-curve hypothesis for the U.S. with Canada at the state rather than country level and creates maps based on the findings. The approach of this study differs from all empirical studies using country-level J-curve analyses, because the U.S. may require a state level analysis since its states differ in terms of economic-population sizes, tax rates, and administrative structures. For this aim, this study employs the linear and nonlinear autoregressive distributed lag (ARDL) approaches. The results indicate that while only 8 out of 47 U.S. states support the food-based asymmetric J-curve hypothesis, 15 U.S. states support the asymmetric inverse J-curve hypothesis. Additionally, 9 U.S. states support the food-based symmetric J-curve hypothesis, and 2 U.S. states support the symmetric inverse J-curve hypothesis. Based on these results, policymakers of U.S. states where the J-curve hypothesis is not supported should review their food-based bilateral trade policies with Canada. Graphical abstract: These maps depict the U.S. states in green and red, indicating support for the J-curve and inverse J-curve hypotheses, respectively. The map on the left was generated using the linear model (symmetric approach), while the map on the right was generated using the nonlinear model (asymmetric approach). Supplementary Information: The online version contains supplementary material available at 10.1007/s00003-023-01436-x.

Study on the Distribution of Fresh Food Support System—An Example of Shanghai during the Epidemic Closure of 2022

One of the key indicators to measure the sustainability and resilience of a city during a public health crisis is how well it can meet the daily needs of its residents. During the COVID-19 lockdown in Shanghai in 2022, e-commerce shopping and delivery became the most important method for ensuring the city's material supplies. This article uses the distribution data of a fresh e-commerce platform's pre-warehouse and static population distribution data to establish a basic material supply system evaluation model for the city and explore its resilience potential. Focusing on the central urban area of Shanghai, this study uses a population heat map with geographic coordinates to reflect the static distribution of residents and obtains the distribution data of the e-commerce pre-warehouses. Using kernel density analysis, the relationship between the pre-warehouses and the residents' needs is established. Through analysis, it was found that the supply capacity of fresh food in different areas of Shanghai during the lockdown could be categorized as insufficient, adequate, or excessive. Based on these three categories, improvement strategies were proposed. Finally, this article suggests establishing a scientific supply security system to promote urban sustainability and prepare for future challenges.

Determinants and challenges of distance geographical education in Polish schools

The Covid-19 pandemic, which has swept around the world since the beginning of 2020, has had a significant impact on education. Overnight, there has been a transition from traditional to distance learning. Both teachers and students of all types and levels of education had to face a new, unknown reality for which, in the vast majority, they were not properly prepared. The paper attempts to comprehensively identified the determinants of geographic education online at the level of primary and secondary schools, and analyzed selected conditions that have the greatest impact on its implementation. Qualitative and quantitative data was provided by literature research and the results of a survey conducted among 123 geography teachers. The model of the determinants of the geographic education process in the distance form adopted in the study indicates the extraordinary complexity of the online education process. Three groups of determinants were subjected to in-depth analysis: technological, law, and the teacher's capacity, considering them necessary for the implementation of the distance learning process. [ FROM AUTHOR] Copyright of International Research in Geographical & Environmental Education is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Spatial differentiation of urban economic resilience and its influencing factors: evidence from Baidu migration big data

Under the development pattern of the "double cycle”, optimizing urban economic resilience is tremendously meaningful to improving a city's affordability and the adaptability of the economy and to promoting the Chinese economy to develop with high quality. Based on Baidu migration big data perspective, exploratory spatial data analysis (ESDA) and multi-scale geographical weighted regression (MGWR) model were used to analyze the spatial characteristics and driving factors of economic resilience in 287 Chinese cities in 2019. The results show that (1) the number of low-level economically resilient cities is the largest and distributed continuously, while the number of high-level economically resilient cities is the lowest and distributed in clusters and blocks;(2) compared with the Pearl River Delta and Yangtze River Delta, the population accumulation characteristic of the Beijing- Tianjin-Hebei region is relatively slow;(3) Both net inflow of population after spring festival and daily flow scale are significantly correlated with urban economic resilience, and the former will affect urban economic resilience;and (4) the spatial heterogeneity of each factor driving is significant, and they have different impact scales. The impact intensity is as follows: net population inflow > innovation ability > public financial expenditure > financial efficiency > urban size.

Uso de las herramientas digitales en la educación virtual en Ecuador

All these changes transformed several human paradigms, among the recent changes of the contemporary age, we found: secular education, and virtual education, the latter became potentialized thanks to a global event. Thanks to this event, digital tools were essential for the intellectual and economic development of the world, among those used was the e-learning platform that allowed teachers and students to interact with each other. [...]there coexisted countless homes in which buying a technological device or hiring internet service was not possible, either because of the economic situation or geographical location, they could not access virtual classes, which led them to make monetary sacrifices such as: loans or mobilizing to places where the signal could reach. Keyword: Digital tools;virtual education;digital platforms;social networks. 1.Introducción Desde el comienzo de la historia de la humanidad, nuestra especie se caracterizó por la capacidad del racionamiento, lo que nos diferencia de los otros animales por el hecho de saber interpretar y preguntamos constantemente el porqué de las cosas.

Geographical Appraisal of COVID-19 in West Bengal, India.

Study shows that COVID-19 cases, deaths and recoveries vary in macro level. Geographical phenomena may act as potential controlling factor. The present paper investigates spatial pattern of COVID-19 cases and deaths in West Bengal (WB), India and assumes Kolkata is the source region of this disease in WB. Thematic maps on COVID related issues are prepared with the help of QGIS 3.10 software. As on 15th January 2021, WB has 564032 number of COVID-19 cases which is 0.618% to the total population of the state. However, the COVID-19 case for India is 0.843% and for world is 1.341% to its total population. Lorenz Curve shows skewed distribution of the COVID-19 cases in WB. 17 (90%) districts hold 84.11% of the total population and carry 56.30% of the total COVID-19 cases. However, the remaining two districts-Kolkata and North 24 Parganas-hold remaining 43.70% COVID-19 cases. Correlation coefficient with COVID-19 cases and Population Density, Urban Population and Concrete Roof of their house are significant at 1% level of significance.

Urban Morphological Analysis Framework for Sustainable Malay Town Transition in Response to COVID 19

Current approaches applied in the historical analysis on the morphological evolution of early Malay towns primarily focused on describing how cities were formed and transformed without much emphasis on how they can be analysed. Considering cities as urban organisms experiencing rapid growth, achieving a sustainable urban transition would be impossible without understanding the process of initial formation and spatial uniqueness that comprise the Malay town. However, analysing the particular kind of processes requires a comprehensive understanding of each hierarchical level of morphological elements, which, therefore, posed a greater challenge in excerpting Malay town's dynamic and organic growth pattern-development. This study attempt to develop the methodological process of urban morphological analysis framework concerning the Malay town context. With the adoption of the historic-geographical approach as the method of analysis, the study applied two different spatial scales as the basis of the analysis process, that is, plan-units analysis and morphological evolution analysis. The findings unveiled the inherent morphogenesis processes of Malay towns central to the spatial structure of Kota, represent a town that functioned as a territorial base with settlements of Kampung as the archetype of the morphological unit. Through depicting the spatial boundary of Dalam Kota and Luar Kota, the fixation line of the growth process in Malay town can be identified, which is imperative to the functioning system of the town. Accordingly, developing the systematic morphological analysis process aids in providing a clear and responsive strategy for managing the changing process of Malay towns to ensure a sustainable transition for resilient communities and territories.

Diverged landscape of restaurant recovery from the COVID-19 pandemic in the United States.

The COVID-19 pandemic has imposed catastrophic impacts on the restaurant industry as a crucial socioeconomic sector that contributes to the global economy. However, the understanding of how the restaurant industry was recovered from COVID-19 remains underexplored. This study constructs a spatially explicit evaluation of the effect of COVID-19 on the restaurant industry in the US, drawing on the attributes of +200,000 restaurants from Yelp and +600 million individual-level restaurant visitations provided by SafeGraph from 1st January 2019 to 31st December 2021. We produce quantitative evidence of lost restaurant visitations and revenue amid the pandemic, the changes in the customers' origins, and the retained visitation law of human mobility-the number of restaurant visitations decreases as the inverse square of their travel distances-though such a distance-decay effect becomes marginal at the later pandemic. Our findings support policy makers to monitor economic relief and design place-based policies for economic recovery.