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1.
Revista Geográfica ; JOUR(165): 91-135,
Article in Spanish | ProQuest Central | ID: covidwho-2091669

ABSTRACT

Urban expansion has generated an unprecedented transformation in land use, causing an impact on the global biosphere with environmental, social and economic consequences, which is mainly driven by a poorly regulated expansive tentacular physical growth pattern, which is associated with processes such as the conurbation, which causes deconcentrated movements of people and economic activities from large cities to rural areas, generating rururbanization processes, which in the case of the Bosa tam a village has caused pressures and transformations in the planning of the territory as a result of the changes in land use and the increase in urbanization reflected in the Ciudad Verde housing megaproject. In accordance with the foregoing, the research initially established the global trends of urban expansion from a bibliographic search and analysis system, with the purpose of defining the factors that influence the dynamics of the shaping of the path, which together with the application of the Stlocus method from the territorial intelligence approach and the perception of the key actors allowed to analyze the characteristics and problems of the village, which were evaluated using a Vester matrix where the most critical problems are the change in land use, the urban expansion of the dimension environmental, the change of traditional and daily activities of the social dimension, weakening of agricultural activities of the economic dimension and lack of approval and implementation of a new land use plan of the institutional political dimension, which were taken up in the approach of nine strategies for planning sustainable rururban territory that, articulated from a rura lity policy guideline, can contribute to the resolution of the problems present in the village. Por último, es preciso indicar que la investigación se desarrolló en el marco de la pandemia generada por el virus Covid-19, lo cual, limitó la aplicación del método;en relación al trabajo en una mesa comunitaria para la co-construcción de los mapas de territorialidades, vocaciones y lugares, debido a las cuarentenas, sin embargo, desde la aplicación de las entrevistas a los actores claves y el trabajo en campo fue posible definir los patrones de ocupación y apropiación territorial, para su posterior sistematización. Descripción del área de estudio Soacha es un municipio perteneciente al departamento de Cundinamarca, el cual hace parte de la región llamada Sabana de Bogotá y parte de la cuenca alta del río Bogotá, a su vez, Soacha colinda con los municipios de San Antonio de Tequendama y Granada por el oeste, con Sibaté y Pasca por el sur, con Mosquera y Boyacá al norte, y con Bogotá al este, el municipio cuenta con 14 veredas. Bosatama hace parte del segundo corregimiento del municipio de Soacha y se localiza a los 4o 37' de latitud norte y 74° 13' de longitud al oeste

2.
SSRN;
Preprint in English | SSRN | ID: ppcovidwho-346147

ABSTRACT

We estimate the impact of Covid-induced working from home (WFH) on offline consumer spending in urban agglomerations. Our analysis draws on postcode-level data on card transactions and WFH patterns in major German cities between January 2019 and May 2022. We address endogeneity in WFH uptake by estimating intention-to-treat effects based on “untapped WFH potential”, i.e. the share of employees with a teleworkable job who did not WFH pre-pandemic. This measure approximates the local scope to expand WFH and explains both observed WFH growth during the pandemic as well as prospective employer plans and employee desires. Difference-in-differences estimates show that local spending increases by 2–3 percent per standard deviation higher untapped WFH potential. The effects are only significant in non-lockdown periods and after Covid restrictions are permanently lifted. Null effects during lockdowns are consistent with temporary shifts toward online spending when business closures preclude regional relocation of offline consumption.

3.
The Indonesian Journal of Geography ; 54(2):173-178,180-184, 2022.
Article in English | ProQuest Central | ID: covidwho-2081307

ABSTRACT

Bekasi City has a high population density, as seen from its growth rate in 2020. Therefore, geospatial analysis is required to support and provide effective and efficient health services, evaluate the need for referral hospital capacity, and minimize the spread of COVID-19 cases in this city. The geospatial methods used in this study are Geometric Network Analyst and Geographic Weighted Regression (GWR), with Service Area (SA) used for analysis. The results based on the distance between the referral hospitals and settlements in Bekasi City showed that more than 2.201 million people, or 90%, have been well covered. Meanwhile, regarding travel time, 1.792 million people or 73% in eight sub-districts are in well-served areas. Conversely, referral hospitals do not cover four sub-districts, namely Bantar Gebang, Jati Sampurna, Medan Satria, and Jati Asih. The spatial modeling analysis results using GWR with spatial-temporal data recapitulation of data reports for eight months showed predictions for the spread of confirmed cases in six sub-districts, namely West Bekasi, North Bekasi, East Bekasi, Medan Satria, Mustika Jaya, and Rawalumbu. This implies that local governments need to suggest more referral hospitals serving people who live far from the existing referral hospitals.

4.
The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLVIII-4/W5-2022:91-96, 2022.
Article in English | ProQuest Central | ID: covidwho-2080752

ABSTRACT

Public bike systems provide the flexibility of bike-usage that users can rent and return a bike freely at any station. The convenience of the bike-travel system, however, may turn into a disadvantage of demand-supply imbalance in the bike inventory. The recent spread of the COVID-19 pandemic has changed the mobility demands due to the lockdowns which restrict the business operating hours and transit services. Therefore, investigating the impacts of the pandemic on the urban social life patterns with the bike usage is an important issue for the bike demand prediction and the improvement of the public bike system service.This research aims to investigate the correlation between the public bike demand and social environment factors during the pandemic applying a multivariate linear regression model to public bike usage data in Seoul, Korea. The results show some promising findings to further promote shared mobility services through policy and marketing strategies. It is noteworthy that the transport disruptions during the pandemic have made a spillover effect from taxi and public transit to bike as an alternative transport mode. The lockdown has restricted the range of activity and resulted in the decrease of the taxi demand, so the number of taxis. On the other hand, the correlations of the geography, meteorology, and date with the bike demand have shown consistency. Therefore, supply of extra bike facilities to improve the system service should be determined based on more accurate demand prediction considering lifecycle-related factors.

5.
The International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLVIII-4/W5-2022:45-52, 2022.
Article in English | ProQuest Central | ID: covidwho-2080751

ABSTRACT

According to estimates from the World Health Organization (WHO), air pollution contributes to about seven million deaths worldwide annually. Currently, more than 90% of people breathe air that exceeds the WHO’s recommended threshold of pollutants. This high degree of air pollution results in serious public health problems, such as pneumonia, acute asthma, chronic respiratory conditions, and shortness of breath. The execution of solutions to lower pollution exposure is therefore required, a study into the causes of air pollution. The “National Clean Air Programme (NCAP)”, a five-year action plan, has been launched by the Ministry of Environment, Forest and Climate Change (MOEFCC, 2019), Government of India. The program’s primary objective is to combat significant air pollution problems over the Indian subcontinent. As a result of economic growth, air pollution concentrations have consistently climbed to dangerous levels. To investigate influence of anthropogenic parameters on urban air, statistical analysis has been carried out for 8 Indian cities for pre- and post-COVID period using Sentinel-5P earth observatory data. These factors include population density, land use and total registered vehicles. The results of the investigation demonstrated that during the lockdown, air pollution levels in cities decreased. It is also discovered that pollutant levels have escalated once more since the lockdown limitations were lifted. It is clear from the findings that parameters affect pollution exposure. This demonstrates categorically that the pandemic has a beneficial effect on pollution exposure. A policy framework can be advised for policymakers based on the study done.

6.
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; X-4/W3-2022:301-308, 2022.
Article in English | ProQuest Central | ID: covidwho-2080750

ABSTRACT

With COVID-19’s prevalence and government efforts to curb its spread, urban travel behaviour has significantly altered, resulting in a significant shift in traffic congestion. Rather than predicting traffic congestion based on historical data, we aim to model the correlation between travel behaviour and external mobility-related urban features and use Dublin in Ireland as a case study. This study incorporates four categories of urban data, including 1) Mobility-based features, including the government’s interventions and mobility pattern changes in different locations, 2) Environmental features such as weather and urban street-waste, 3) COVID-19- related features such as the positivity and vaccination rates, and 4) Time-related features such as public holidays. First, we examine the impact of COVID-19 on traffic congestion and street-waste to understand the city’s dynamic. Then, multiple machine learning (ML) models, such as random forests, support vector regression, light gradient boosting machine, and multiple linear regression are trained, and their performance optimized to predict traffic congestion changes. We compare the outcomes of the models with several evaluation metrics and interpret the best performing model. The results indicate that mobility changes in grocery and pharmacy, retail and recreation, workplaces sectors, and the amount of urban street-waste significantly contribute to the model outcomes. Findings could predict traffic dynamics in times of crisis and allow authorities to comprehend the effects of their intervention measures on mobility, which would ultimately benefit developing smart cities and intelligent transportation systems.

7.
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; X-4/W3-2022:245-252, 2022.
Article in English | ProQuest Central | ID: covidwho-2080749

ABSTRACT

The COVID-19 virus and its outbreak were among the most considered research areas in different science branches throughout last year. Meanwhile, some extensive studies have been conducted on the factors influential in increasing the infection rate. The present study examines the relationship between two sets of factors. Firstly, the rate of infection with the virus and the ways it spreads are considered. Secondly, one of the most important climatic factors (direct solar radiation and radiation duration) is studied. This study aims to examine the relationship between these factors and the infection rate with COVID-19 in the six selected U.S. states, including Arizona, California, Colorado, Nevada, New Mexico, and Utah, which receive the maximum radiation and whose population density is at a high level. In order to conduct this study, the analysis of big data and referring to the United States Geological Survey (USGS) have been implemented. This quantitative study is based on analyzing satellite data in the GIS and R software applications. Generally, the research comprises three phases. Firstly, it produces data. Secondly, it examines the satellite images. Finally, it explores and analyses data via sampling techniques and regression tests. The results of this study have revealed that direct solar radiation and density are significantly related to the spread of COVID-19. In the case of radiation duration, investigations show that this variable does not influence the spread of the COVID-19 virus.

8.
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; X-4/W3-2022:135-142, 2022.
Article in English | ProQuest Central | ID: covidwho-2080748

ABSTRACT

Since early 2020, the number of COVID-19 cases has continued its rise and fall worldwide, greatly impacting sectors such as health outcomes, economics, housing, and transportation. To mitigate the spread of the pandemic, governments implemented various measures to reduce the mobility of the population, restricting international travel, hierarchical lockdowns, stay-at-home mandates, and work-from-home orders. In this aspect, early studies in the transportation field showed large changes in travel behaviour. However, we know less about the long-term impact of COVID-19 on people's travel behaviour. This paper explores the change in commute behaviour during the pandemic, focusing on the resilience index of transit users and its determining factors. The hist gradient boosting model was the most precise when compared with linear and other machine learning models (considering R2, MSE, MAE). The results suggested the following: (1) commuters' trips decreased unevenly in Seoul. Through machine learning algorithms, social-economic factors, and accessibility, 50% of the heterogeneity can be explained. (2) Consumer and Service Industry and Foreigner Tourism were impacted negatively continually. Neighbourhoods with higher car ownership and a higher percentage of female residents show long term weak public transit resilience. (2) Short distance commuters (less than 20 minutes) and commuters visiting city centres, returned to public transport in the second year after avoiding it during the first year of the pandemic. Considering the uneven negative results of COVID-19, this research can be a reference for policy design and effective decision making.

9.
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; X-4/W3-2022:3-10, 2022.
Article in English | ProQuest Central | ID: covidwho-2080747

ABSTRACT

In public health, the representation and analysis of the incidence of the disease play an important role in assessing the regional disparity and health infrastructure. The geographic information system is one of the best methods to do so. This paper aims to visualise the spread of COVID-19 and perform cluster analysis. The prospective Poisson space-time scan statistic was utilised to detect clusters of COVID-19 at the district level in the Uttar Pradesh state of India. The spatial mapping was performed to assess the situation of COVID-19 and related factors. The log-likelihood ratio and relative risk were calculated monthly from May to December 2020. As per the results, the size and location of clusters kept changing with being more concentrated in Lucknow, Kanpur, Gautam Buddha Nagar districts and NCR regions. The significance of these clusters was less than 0.001. The detection of these clusters helped understand the overall dynamics of the disease spread. The number of confirmed cases declined in most districts, with only a few being at higher risk and needing more attention and resources. It was concluded based on the analysis that the areas of higher economic activities and population density with higher access to hospitals and testing had a larger number of cases and were the regions of hotspots. The findings can help to create health awareness, monitor situations in real-time and evaluate the steps taken to assess their efficacy.

10.
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; X-4/W2-2022:21-28, 2022.
Article in English | ProQuest Central | ID: covidwho-2080746

ABSTRACT

Harvesting usable and meaningful disaster-related, spatio-temporal data at a highly granular level poses major challenges in its cleaning and aggregation. This paper presents a strategy related to those challenges with respect to individual behavior near COVID-19 laden healthcare facilities. This is done to enable the visualizing of egress behavior data as interactive, three-dimensional (3D) scenes to investigate human behavior patterns regarding touch-based, disease transmission. Therefore, the aim is to demonstrate how this concept of 3D epidemiology may provide new mechanisms to understand the relative risk and exposure prevalence for data analysis. This paper demonstrates 3D enablement of disaster-related field data through use of first-hand observations of 1,936 individuals egressing New York City healthcare facilities during the onset of COVID-19 in the Spring of 2020. The observations capture egress behavior in terms of where people go (e.g. coffee shop, Subway) and how they physically interact with the surroundings (i.e. what they touch and how long they remain). This paper introduces a mechanism for automated extraction and 3D visualization of such data in Potree, an open-source Web Graphics Library (WebGL) point cloud viewer. Distinctive vertex shaders are used to distinguish specific destination selection and behavioral patterns (e.g. personal protective equipment usage). Two-dimensional heatmaps are paired with 3D scenes to demonstrate the potential of using 3D visualization of spatio-temporal patterns for visualizing disease transmission potential.

11.
Moravian Geographical Reports ; 30(3):163-178, 2022.
Article in English | ProQuest Central | ID: covidwho-2080043

ABSTRACT

At present the digital divide has started to be considered not so much in the context of Internet access itself or the skills of Internet users, but in terms of Internet performance. The COVID-19 pandemic has revealed that faster Internet made it easier to adapt to the new reality. But not all areas can benefit from good Internet connection. Therefore, the aim of this study is to identify spatial regularities in Internet performance on a local scale. This study is based on a set of data generated by Internet users, collected using the publicly available Ookla Speedtest measurement tool. The information about Internet speed and latency obtained in this way shows the actual Internet speed experienced. The analyses have indicated significant characteristics of the spatial differentiation of Internet performance. First, in the case of the Internet, the core-periphery dimension is not universal and obvious, as regional systems are strongly marked. Second, perceiving the digital divide mainly through the prism of Internet access is an insufficient approach.

12.
30th International Cartographic Conference (Icc 2021), Vol 4 ; 2021.
Article in English | Web of Science | ID: covidwho-2072051

ABSTRACT

The paper presents an ongoing project devoted to the study, the analysis and the representation of epidemiological data related to CoViD-19 spread in the territory of the Province of Trento (Italy), both for scientific and communication purposes. In this broader context, the construction of a digital cartography tool as a WebGIS to allow local communities understanding of epidemiological spread is presented. Data have been supplied by the local Provincial Health Authority;statistic have been processed in order to develop municipality scale vector polygonal coropleth and point maps in order to show affected, health and death rate distribution. A timeline allows the representation of changes and dynamics from Spring 2020 to the current date. The database provides "on-the-fly" data to the production scripts of maps and time charts. These scripts querying the database produce a geographic file in the geojson standard interchange format. This file is read by the javascript scripts based on the leaflet libraries for the production of the final maps. In a similar process, scripts based on the chart.js library produce the graph of the data temporal variation, automatically reading dates and interval time of analysis. A custom procedure was developed to allow the periodic update of the dataset. New information is added to the database by uploading an external spreadsheet. The study presents the methodology to develop and assess the WebGIS for managing, visualize and analyse Coronavirus diffusion. Future implementation of the WebGIS will expand the used data and allow the comparison with social and environmental factors.

13.
Fresenius Environmental Bulletin ; 31(8A):8328-8334, 2022.
Article in English | Web of Science | ID: covidwho-2068261

ABSTRACT

In this study, the mission of agriculture, which is the primary sector, in meeting the most basic need of humanity, was investigated. Declining agricultural lands in parallel with the increasing world population and the functional status of organic agriculture on these agricultural lands have been examined. On the other hand the organic farming activities in Turkey is evaluated in terms of product design. The export and import data of these products have been tabulated by compiling up-to-date information on organic agriculture and marketing from various statistical portals and articles. Descriptive scanning method was used in our study. In the study, the declining agricultural lands due to the increase in urbanization and industrial activities on the world scale since the 1950s and the insufficiency of these lands against the increasing population are mentioned. On the other hand, the environmental damage caused by conventional agriculture, which is intensively carried out today, has been examined. Organic agricultural activities that are friendly to both the environment and human health and the marketing opportunities of these products has been evaluated in order to eliminate this damage. As is known, demographic pressures on agricultural land continue to increase. In order to prevent this pressure and to protect the agricultural lands for future generations, it is needed to plan these regions in the light of scientific data with correct agricultural techniques and policies. The Covid-19 outbreak seen today has made it inevitable to protect agricultural areas. In this sense, organic agriculture should be positioned with effective marketing strategies by combining both production and marketing activities

14.
Sustainability ; 14(19):12933, 2022.
Article in English | ProQuest Central | ID: covidwho-2066484

ABSTRACT

Virtual field trips (VFTs) are a way to overcome travel restrictions and continue to explore distant spaces, foreign issues, and learning opportunities. The intent of this article is to show how VFTs are used in learning geography in the context of education for sustainable development (ESD). The goal is to develop a didactic approach to the use of virtual fieldwork in ESD with geography teachers in pre-service and in-service teacher training at two universities. This article has the following aims. The first is to explain what a VFT is from a theoretical and technical perspective, which raises questions about forms and tools. The second is to explain how a remote intercultural seminar was conceived and implemented to create virtual fieldwork. The third is to present the methodology on which this experimentation is based and to explore the opportunities and limitations of VFTs. The last is to present and discuss the results.

15.
Sustainability ; 14(19):12641, 2022.
Article in English | ProQuest Central | ID: covidwho-2066444

ABSTRACT

Vulnerable topographies and morphologies are reservoirs of resilience in reacting to social, economic, and environmental crises in the Italian Hinterlands. Moreover, the pandemic situation of recent years has influenced people’s values and priorities, allowing us to reconsider the value of lands outside urban centres. In Italy, overcoming a contrasting vision between cities and inland areas brings out a relationship of interdependence between territories, a fragile balance to be investigated and reconnected. The contribution of this paper aims to investigate the current state of vulnerability of these hinterlands, crossed by continuous phenomena and by discrete or sudden phenomena, to represent the tangible and intangible space to fully understand the performativity of these territories. The methodology used lies in an intermediate space between the values process of landscape ecology, which sees as its starting point the investigation of tangible land effects, and the quantitative-qualitative approach of mapping. A scale of values is assigned through the use of GIS-assisted multi-criteria evaluation. The proposed methodology is set and applied in the case of Val di Sole, Trentino, to spatialise the relationship between risk and resources in Italy’s hinterlands.

16.
Otolaryngology - Head and Neck Surgery ; 167(1 Supplement):P201, 2022.
Article in English | EMBASE | ID: covidwho-2064416

ABSTRACT

Introduction: Access to specialty care is challenging in rural health environments, and this has been compounded by the COVID-19 pandemic. Routes to establishing care for head and neck cancer patients are especially important. We sought to quantify our referral patterns and processes to identify opportunities for optimization. Method(s): Retrospective review was performed of patients with initial head and neck tumor board presentation between January 1, 2020, through December 31, 2021. Assessed time points were date of referral, biopsy, pathological diagnosis, imaging order, imaging obtained, and initial presentation at head and neck tumor board. Result(s): A total of 429 patients were included. Squamous cell carcinoma (n=350, 81.6%) made up the majority, and most common primary sites were oropharynx (27.4%), oral cavity (20.3%), larynx (16.9%), and cutaneous (16.5%). At time of referral, 37.6% of patients had biopsy proven diagnosis. Average time to tumor board was 22 days, and significantly greater in those undiagnosed at referral (29 vs 14 days). Distance to provider did not correlate with time to tumor board. The period since the onset of the COVID crisis did not appear to affect access to care once in our system. However, there was evidence that patients presented with advanced locoregional disease during COVID-19. Conclusion(s): This study creates an approach to map access to care, evaluating critical time points and opportunities to expedite multiple steps that initiate therapy for head and neck cancer. There are both external (rural geography and the COVID-19 pandemic) and internal aspects that may pose barriers to access. Identification of these barriers allows for improved timely access to care in this susceptible population.

17.
American Journal of Transplantation ; 22(Supplement 3):614-615, 2022.
Article in English | EMBASE | ID: covidwho-2063480

ABSTRACT

Purpose: The SRTR January 2022 program evaluations (Jan 2022 program-specific reports [PSRs]) applied a COVID-19 carve-out where follow-up for transplants performed before March 13, 2020, ends on March 12, 2020;transplants performed from March 13, 2020, through June 12, 2020, are excluded;and transplants performed after June 12, 2020, are followed as usual. This study quantified the impact of the carve-out and investigated the effect of censoring COVID-19 deaths (in addition to the carve-out) on first-year posttransplant outcomes metrics in the Jan 2022 PSRs, with particular attention to investigating variation among OPTN regions. Method(s): The program-specific hazard ratios (HRs) for graft failure and patient death were estimated under 2 alternative scenarios and compared with the published HRs. In the first scenario, the COVID-19 carve-out was removed. In the second scenario, the COVID-19 carve-out was retained, but deaths due to COVID-19 infection that were not already carved out were censored. Result(s): Compared to the HRs from the Jan 22 PSRs as published with the COVID- 19 carve-out, adding censoring for the COVID-19 deaths that are not already removed by the carve-out results in very little change on average in the HRs (beta=1.0, r2=0.96). Removing the COVID-19 carve-out has a relatively larger impact on the estimated HRs (beta=0.89, r2=0.82) By geography, there were 2 slight yet statistically significant differences. When removing the carve-out, the average HR in the Northwest (OPTN Region 6) was 0.049 lower (95% CI: -0.087 to -0.011) than under the program evaluations with the carve-out. When censoring COVID-19 deaths in addition to the carve-out, the average HR in the Midwest (OPTN Regions 7, 8, and 10) was 0.009 lower (95% CI: -0.015 to -0.003) than under the program evaluations as published with only the COVID-19 carve-out. Conclusion(s): The HRs estimated by censoring COVID-19 deaths are highly correlated with those estimated with the carve-out alone. Removal of the carve-out resulted in greater variation in estimated HRs than the censoring scenario. Little variation by OPTN Region was observed, with the carve-out resulting in slightly higher HRs on average in OPTN Region 6. Censoring COVID-19 deaths imparted little regional variation, with HRs in the Midwest reduced on average by 0.009. The impact of the carve-out on program-specific evaluations will continue to be evaluated.

18.
iScience ; 25(11): 105297, 2022 Nov 18.
Article in English | MEDLINE | ID: covidwho-2061297

ABSTRACT

Since early 2020, researchers have made efforts to study various issues related to cities and the pandemic. Despite the wealth of research on this topic, there are only a few review articles that explore multiple issues related to it. This is partly because of the rapid pace of publications that makes systematic literature review challenging. To address this issue, in the present study, we rely on bibliometric analysis techniques to gain an overview of the knowledge structure and map key themes and trends of research on cities and the pandemic. Results of the analysis of 2,799 articles show that research mainly focuses on six broad themes: air quality, meteorological factors, built environment factors, transportation, socio-economic disparities, and smart cities, with the first three being dominant. Based on the findings, we discuss major lessons that can be learned from the pandemic and highlight key areas that need further research.

19.
Teaching Geography ; 47(3):98-100, 2022.
Article in English | ProQuest Central | ID: covidwho-2058191

ABSTRACT

There are many misconceptions and partial understandings of geographical concepts and processes;for example, while knowing and restating to their teachers that Africa is not a country, students in year 12 still assume a homogenous continent with widespread subsistence agriculture and have a mental image of famine and poverty. A particular concern is the acceptance of these stereotypes with imperfect understanding of the sharp contrasts of rapid development across Africa through financial technology, start-ups, venture capital, mobile phone ownership, tertiary education, vast engineering projects and foreign direct investment in vibrant cities. Mental health concerns The lack of fieldwork, or field experiences, exposed mental health concerns and provided unexpected challenges. Mental health concerns were widespread across many schools, both in the forum and, anecdotally, elsewhere.

20.
Teaching Geography ; 47(3):93, 2022.
Article in English | ProQuest Central | ID: covidwho-2057616

ABSTRACT

The striking image on the cover of this edition of Teaching Geography reminds us that even though much of our recent time and energy has been focussed on the global pandemic of COVID-19, the climate crisis still looms large. If during the pandemic we relied on computer technology to teach geography, Arnold Reesink's article reminds us of the simple effectiveness that can derive from physical models in the classroom. [...]I would very much encourage everyone to write for Teaching Geography.

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