scholarly journals An Analysis of COVID-19 Clusters in India-Two Case Studies on Nizamuddin and Dharavi.

2020 ◽  
Author(s):  
Pooja Sengupta ◽  
Bhaswati Ganguli ◽  
Sugata SenRoy ◽  
Aditya Chatterjee
Keyword(s):  
Cluster Analysis ◽  
Population Density ◽  
Case Studies ◽  
Large Scale ◽  
Disease Spread ◽  
Second Phase ◽  
Success Stories ◽  
The Individual ◽  
Individual Contact ◽  
Special Hospitals

Abstract Background- With the COVID-19 pandemic wreaking havoc across nations, several research projects are being carried out to study the propagation of the virus. In this study we have made an endeavour to analyse the spread of COVID-19 in the districts of India. Methods- Some districts in India have been much more a ected than the others. A cluster analysis of the worst a ected districts in India provide insight about the similarities between them. The e ects of public health interventions in flattening the curve in their respective states is studied using the individual contact SEIQHRF model. Results - The clustering of hotspot districts in India provide homogeneous clusters of districts that stand out in terms of number of positive COVID-19 cases and covariates like population density and number of COVID-19 special hospitals. The cluster analysis reveal that distribution of number of COVID-19 hospitals in the districts vary from the distribution of con rmed COVID-19 cases. The distribution of hospitals is much less skewed than the population density and COVID-19 cases. From the SEIQHRF model for Nizamuddin we observe in the second phase the number of infected individuals had seen a multitudinous increase in the states where Nizamuddin attendees returned. Thereby, increasing the risk of the disease spread in the respective states. However, the simulations reveal that the administrative interventions, if implemented strictly, flatten the curve of disease spread. In Dharavi however, as claimed by the Brihanmumbai Municipal Corporation officials, through tracing, tracking, testing and treating, massive breakout of COVID-19 was also brought under control. Conclusions - The study rounds up with two important case studies on Nizamuddin basti and Dharavi slum to illustrate the growth curve of COVID-19 in two very densely populated regions in India. In the case of Nizamuddin, the attendees of the religious events who went back to their respective states, increased the risk of infection manifold. However, Dharavi was one of the few COVID-19 success stories. Through strict testing, treating, tracking and tracing large-scale COVID-19 infection was brought under control.

scholarly journals An analysis of COVID-19 clusters in India

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Pooja Sengupta ◽  
Bhaswati Ganguli ◽  
Sugata SenRoy ◽  
Aditya Chatterjee
Keyword(s):  
Public Health ◽  
Cluster Analysis ◽  
Population Density ◽  
Case Studies ◽  
Compartment Model ◽  
Health Interventions ◽  
Disease Spread ◽  
Second Phase ◽  
Public Health Interventions ◽  
Homogeneous Groups

Abstract Background In this study we cluster the districts of India in terms of the spread of COVID-19 and related variables such as population density and the number of specialty hospitals. Simulation using a compartment model is used to provide insight into differences in response to public health interventions. Two case studies of interest from Nizamuddin and Dharavi provide contrasting pictures of the success in curbing spread. Methods A cluster analysis of the worst affected districts in India provides insight about the similarities between them. The effects of public health interventions in flattening the curve in their respective states is studied using the individual contact SEIQHRF model, a stochastic individual compartment model which simulates disease prevalence in the susceptible, infected, recovered and fatal compartments. Results The clustering of hotspot districts provide homogeneous groups that can be discriminated in terms of number of cases and related covariates. The cluster analysis reveal that the distribution of number of COVID-19 hospitals in the districts does not correlate with the distribution of confirmed COVID-19 cases. From the SEIQHRF model for Nizamuddin we observe in the second phase the number of infected individuals had seen a multitudinous increase in the states where Nizamuddin attendees returned, increasing the risk of the disease spread. However, the simulations reveal that implementing administrative interventions, flatten the curve. In Dharavi, through tracing, tracking, testing and treating, massive breakout of COVID-19 was brought under control. Conclusions The cluster analysis performed on the districts reveal homogeneous groups of districts that can be ranked based on the burden placed on the healthcare system in terms of number of confirmed cases, population density and number of hospitals dedicated to COVID-19 treatment. The study rounds up with two important case studies on Nizamuddin basti and Dharavi to illustrate the growth curve of COVID-19 in two very densely populated regions in India. In the case of Nizamuddin, the study showed that there was a manifold increase in the risk of infection. In contrast it is seen that there was a rapid decline in the number of cases in Dharavi within a span of about one month.

Teaching Approaches and Profile Analysis: An Exploratory Study With Trainee History Teachers

SAGE Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 215824402110591
Author(s):  
Cosme Jesús Gómez-Carrasco ◽  
Jairo Rodríguez-Medina ◽  
Álvaro Chaparro-Sainz ◽  
José Monteagudo-Fernández
Keyword(s):  
Cluster Analysis ◽  
Factor Analysis ◽  
Discriminant Validity ◽  
Profile Analysis ◽  
Hierarchical Cluster ◽  
Internal Consistency Reliability ◽  
Second Phase ◽  
Teaching Approaches ◽  
History Teachers ◽  
The Individual

The objective of this study is to analyze the teaching approaches of trainee history teachers in Spain. A non-experimental quantitative design was employed with data being gathered via a questionnaire with a Likert-type scale (1–5). Six hundred forty-six students of master’s degrees in geography and history teacher training from 22 different universities took part in the study, of whom 358 were men (55.41%) and 280 women (43.34%). The analytical process was performed in four phases. In the first of them, the reliability of the measures was estimated (internal consistency, reliability of the individual indicators, and reliability of the construct). In the second phase, an exploratory factor analysis (EFA) was carried out on the matrix of polychoric correlations between the items. In the third phase, evidence of convergent and discriminant validity was analyzed by way of a confirmatory factor analysis. In the fourth phase, a hierarchical cluster analysis was carried out in order to verify the presence of possible groups and, finally, to ascertain the differences between groups by way of an inferential analysis (ANOVA and Student’s t). No significant differences were detected in the scoring groups within the Conceptual Change/Student-Focused approach (CCSF subscale) according to the sex of the participants. However, there were significant differences in the Information Transmission Teacher-Focused approach (ITT subscale). A cluster analysis reveals significant differences with regard to the sex of future secondary education history teachers in Spain.

scholarly journals Early Modern Multiloquent Authors (EMMA): Designing a large-scale corpus of individuals’ languages

ICAME Journal ◽  
2019 ◽  
Vol 43 (1) ◽  
pp. 83-122 ◽  
Author(s):  
Peter Petré ◽  
Lynn Anthonissen ◽  
Sara Budts ◽  
Enrique Manjavacas ◽  
Emma-Louise Silva ◽  
...  
Keyword(s):  
Early Modern ◽  
Case Studies ◽  
Large Scale ◽  
Access To Higher Education ◽  
First Case ◽  
Metadata Enrichment ◽  
Methodological Principles ◽  
The Individual ◽  
The Right

Abstract The present article provides a detailed description of the corpus of Early Modern Multiloquent Authors (EMMA), as well as two small case studies that illustrate its benefits. As a large-scale specialized corpus, EMMA tries to strike the right balance between big data and sociolinguistic coverage. It comprises the writings of 50 carefully selected authors across five generations, mostly taken from the 17th-century London society. EMMA enables the study of language as both a social and cognitive phenomenon and allows us to explore the interaction between the individual and aggregate levels. The first part of the article is a detailed description of EMMA’s first release as well as the sociolinguistic and methodological principles that underlie its design and compilation. We cover the conceptual decisions and practical implementations at various stages of the compilation process: from text-markup, encoding and data preprocessing to metadata enrichment and verification. In the second part, we present two small case studies to illustrate how rich contextualization can guide the interpretation of quantitative corpus-linguistic findings. The first case study compares the past tense formation of strong verbs in writers without access to higher education to that of writers with an extensive training in Latin. The second case study relates s/th-variation in the language of a single writer, Margaret Cavendish, to major shifts in her personal life.

Models, Practices and Methods of Reading: Evolution in Time and Space

2009 ◽  
pp. 59-64
Author(s):  
Yulia P. Melentyeva
Keyword(s):  
Large Scale ◽  
Social Groups ◽  
National Program ◽  
Time And Space ◽  
Lack Of Information ◽  
The Individual

In recent years as public in general and specialist have been showing big interest to the matters of reading. According to discussion and launch of the “Support and Development of Reading National Program”, many Russian libraries are organizing the large-scale events like marathons, lecture cycles, bibliographic trainings etc. which should draw attention of different social groups to reading. The individual forms of attraction to reading are used much rare. To author’s mind the main reason of such an issue has to be the lack of information about forms and methods of attraction to reading.

Trail-Blazer Dependency – A Roadmap for the Sustainability Revolution

2020 ◽  
Vol 13 (2) ◽  
pp. 317-337
Author(s):  
Jan Kunnas
Keyword(s):  
Case Studies ◽  
Environmental Problems ◽  
Pulp And Paper ◽  
Historical Research ◽  
The Past ◽  
Success Stories ◽  
Electric Car ◽  
Major Benefit ◽  
Quality Movement

While geologists are still considering whether the Anthropocene should be accepted as a formal geological epoch, it is up to us humanists to search for ways making this human era a good one. In this article, I will examine how we can use historical research to provide such tracks based on past regularities or similarities. Positive success stories from the past can at least provide faith that we can do something about our current environmental problems. This investigation is based on two case studies: the Tesla Model S electric car, and the Swedish pulp and paper industry's transition to chlorine-free bleaching. It argues that the sustainability revolution doesn't just share similarities with the quality movement of the 1970s and 1980s, but is essentially a continuation of it. In concordance with previous megatrends, the major benefit of the sustainability revolution will be reaped by countries and companies running ahead of the curve. A new term, 'trail-blazer dependency' is introduced; by setting an example, the first-movers are opening a trail for late-comers to follow.

Introduction: The Translation History of Virgil

2018 ◽  
Author(s):  
Susanna Braund ◽  
Zara Martirosova Torlone
Keyword(s):  
Case Studies ◽  
Large Collection ◽  
The World ◽  
History Of ◽  
The Individual

The introduction describes the broad landscape of translation of Virgil from both the theoretical and the practical perspectives. It then explains the genesis of the volume and indicates how the individual chapters, each one of which is summarized, fit into the complex tapestry of Virgilian translation activity through the centuries and across the world. The volume editors indicate points of connection between the chapters in order to render the whole greater than the sum of its parts. Braund and Torlone emphasize that a project such as this could look like a (rather large) collection of case studies; they therefore consider it important to extrapolate larger phenomena from the specifics presented here

scholarly journals Modeling regional impacts and resilience to water service disruptions in urban economies

2021 ◽  
pp. 239980832199870
Author(s):  
Sheree A Pagsuyoin ◽  
Joost R Santos
Keyword(s):  
Case Studies ◽  
Large Scale ◽  
Urban Region ◽  
Economic Losses ◽  
Drought Severity ◽  
Severe Drought ◽  
Time Varying ◽  
National Capital Region ◽  
Economic Sectors ◽  
The Impact

Water is a critical natural resource that sustains the productivity of many economic sectors, whether directly or indirectly. Climate change alongside rapid growth and development are a threat to water sustainability and regional productivity. In this paper, we develop an extension to the economic input-output model to assess the impact of water supply disruptions to regional economies. The model utilizes the inoperability variable, which measures the extent to which an infrastructure system or economic sector is unable to deliver its intended output. While the inoperability concept has been utilized in previous applications, this paper offers extensions that capture the time-varying nature of inoperability as the sectors recover from a disruptive event, such as drought. The model extension is capable of inserting inoperability adjustments within the drought timeline to capture time-varying likelihoods and severities, as well as the dependencies of various economic sectors on water. The model was applied to case studies of severe drought in two regions: (1) the state of Massachusetts (MA) and (2) the US National Capital Region (NCR). These regions were selected to contrast drought resilience between a mixed urban–rural region (MA) and a highly urban region (NCR). These regions also have comparable overall gross domestic products despite significant differences in the distribution and share of the economic sectors comprising each region. The results of the case studies indicate that in both regions, the utility and real estate sectors suffer the largest economic loss; nonetheless, results also identify region-specific sectors that incur significant losses. For the NCR, three sectors in the top 10 ranking of highest economic losses are government-related, whereas in the MA, four sectors in the top 10 are manufacturing sectors. Furthermore, the accommodation sector has also been included in the NCR case intuitively because of the high concentration of museums and famous landmarks. In contrast, the Wholesale Trade sector was among the sectors with the highest economic losses in the MA case study because of its large geographic size conducive for warehouses used as nodes for large-scale supply chain networks. Future modeling extensions could potentially include analysis of water demand and supply management strategies that can enhance regional resilience against droughts. Other regional case studies can also be pursued in future efforts to analyze various categories of drought severity beyond the case studies featured in this paper.

scholarly journals The Role of Risk Preferences in Responses to Messaging About COVID-19 Vaccine Take-Up

2021 ◽  
pp. 194855062199962
Author(s):  
Jennifer S. Trueblood ◽  
Abigail B. Sussman ◽  
Daniel O’Leary
Keyword(s):  
Large Scale ◽  
Risk Preferences ◽  
Herd Immunity ◽  
Disease Spread ◽  
Short Term ◽  
Policy Makers ◽  
Health Crisis ◽  
Flu Vaccine ◽  
Nationally Representative

Development of an effective COVID-19 vaccine is widely considered as one of the best paths to ending the current health crisis. While the ability to distribute a vaccine in the short-term remains uncertain, the availability of a vaccine alone will not be sufficient to stop disease spread. Instead, policy makers will need to overcome the additional hurdle of rapid widespread adoption. In a large-scale nationally representative survey ( N = 34,200), the current work identifies monetary risk preferences as a correlate of take-up of an anticipated COVID-19 vaccine. A complementary experiment ( N = 1,003) leverages this insight to create effective messaging encouraging vaccine take-up. Individual differences in risk preferences moderate responses to messaging that provides benchmarks for vaccine efficacy (by comparing it to the flu vaccine), while messaging that describes pro-social benefits of vaccination (specifically herd immunity) speeds vaccine take-up irrespective of risk preferences. Findings suggest that policy makers should consider risk preferences when targeting vaccine-related communications.

scholarly journals Geo-Spatial Analysis of Population Density and Annual Income to Identify Large-Scale Socio-Demographic Disparities

2021 ◽  
Vol 10 (7) ◽  
pp. 432
Author(s):  
Nicolai Moos ◽  
Carsten Juergens ◽  
Andreas P. Redecker
Keyword(s):  
Population Density ◽  
Large Scale ◽  
Methodological Approach ◽  
Spatial Relationship ◽  
Postal Code ◽  
Annual Income ◽  
Choropleth Maps ◽  
Clustering Approach ◽  
Relationship Of ◽  
Insight Into

This paper describes a methodological approach that is able to analyse socio-demographic and -economic data in large-scale spatial detail. Based on the two variables, population density and annual income, one investigates the spatial relationship of these variables to identify locations of imbalance or disparities assisted by bivariate choropleth maps. The aim is to gain a deeper insight into spatial components of socioeconomic nexuses, such as the relationships between the two variables, especially for high-resolution spatial units. The used methodology is able to assist political decision-making, target group advertising in the field of geo-marketing and for the site searches of new shop locations, as well as further socioeconomic research and urban planning. The developed methodology was tested in a national case study in Germany and is easily transferrable to other countries with comparable datasets. The analysis was carried out utilising data about population density and average annual income linked to spatially referenced polygons of postal codes. These were disaggregated initially via a readapted three-class dasymetric mapping approach and allocated to large-scale city block polygons. Univariate and bivariate choropleth maps generated from the resulting datasets were then used to identify and compare spatial economic disparities for a study area in North Rhine-Westphalia (NRW), Germany. Subsequently, based on these variables, a multivariate clustering approach was conducted for a demonstration area in Dortmund. In the result, it was obvious that the spatially disaggregated data allow more detailed insight into spatial patterns of socioeconomic attributes than the coarser data related to postal code polygons.

scholarly journals Second Phase Precipitation in As-Welded and Solution Annealed Alloy 22 Welds

2006 ◽  
Vol 128 (4) ◽  
pp. 644-647 ◽  
Author(s):  
Bassem S. El-Dasher ◽  
Sharon G. Torres
Keyword(s):  
Large Scale ◽  
Thick Plate ◽  
Electron Backscatter Diffraction ◽  
Second Phase ◽  
Solution Annealing ◽  
Annealed Alloy ◽  
Precipitation Characteristics ◽  
Alloy 22 ◽  
Tcp Phases ◽  
Backscatter Diffraction

The precipitation characteristics of tetrahedrally close-packed (TCP) phases during the welding and the subsequent solution annealing process of Alloy 22 1 1∕2in. thick plate double-U prototypical welds are investigated. Electron backscatter diffraction was used to provide large scale microstructural observation of the weld cross section, and scanning electron microscopy was used to map the location of the TCP phases. Analysis shows that TCP precipitation occurs congruent to the weld passes, with the solution annealing reducing the sizes of coarser precipitates.

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