Comparing Pregnancy and Childbirth-related Hospital Visits in Arizona Before and During COVID-19 Using Network Analysis

2021 ◽  
Vol 3 (2) ◽  
pp. 19-36
Author(s):  
Jinhang Jiang ◽  
Karthik Srinivasan
Keyword(s):  
Network Analysis ◽  
Human Society ◽  
Population Changes ◽  
Ego Networks ◽  
State Hospitals ◽  
Pregnancy And Childbirth ◽  
Severe Effect ◽  
Large Populations ◽  
Hospital Visits ◽  
The Impact

The COVID-19 pandemic has had a severe effect on all facets of human society, including healthcare. One of the primary concerns in healthcare is understanding and mitigating the impact of the pandemic on pregnancy and childbirth. While several studies have looked at challenges such as contract tracing of positive cases, predicting confirmed cases and deaths in individuals and communities, few studies have examined differences in hospitalization and treatment of pregnant mothers and infant care in large populations. In this study, the prevalence and co-occurrence of pregnancy and childbirth-related diagnoses reported in Arizona State hospitals for three sixth-month periods - before COVID-19 (second half of 2019), COVID-19 onset (first half of 2020), and COVID-19 (second half of 2020) are analyzed using network analysis. The results show that there are considerable differences in ego networks of few diagnoses during these time periods warranting further investigation into the causality of such population changes.

Network Redundancy and Information Diffusion: The Impacts of Information Redundancy, Similarity, and Tie Strength

2016 ◽  
Vol 46 (2) ◽  
pp. 250-272 ◽  
Author(s):  
Hai Liang ◽  
King-wa Fu
Keyword(s):  
Social Networks ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Information Diffusion ◽  
Tie Strength ◽  
Information Redundancy ◽  
Ego Networks ◽  
Core Concepts ◽  
The Impact

It remains controversial whether community structures in social networks are beneficial or not for information diffusion. This study examined the relationships among four core concepts in social network analysis—network redundancy, information redundancy, ego-alter similarity, and tie strength—and their impacts on information diffusion. By using more than 6,500 representative ego networks containing nearly 1 million following relationships from Twitter, the current study found that (1) network redundancy is positively associated with the probability of being retweeted even when competing variables are controlled for; (2) network redundancy is positively associated with information redundancy, which in turn decreases the probability of being retweeted; and (3) the inclusion of both ego-alter similarity and tie strength can attenuate the impact of network redundancy on the probability of being retweeted.

Socio-Technological Aspects of Automation in Public Works Activities

1987 ◽  
Vol 19 (3-4) ◽  
pp. 633-643
Author(s):  
William F. Garber
Keyword(s):  
Industrial Revolution ◽  
Work Force ◽  
Public Works ◽  
Human Society ◽  
Training Problem ◽  
Total Employment ◽  
The Usa ◽  
History Of ◽  
Complete Automation ◽  
The Impact

The history of human society is replete with examples of advances in technology overrunning the ability of societal organizations to efficiently handle the resulting massive societal dislocations. The social impacts of the “Industrial Revolution of the 18th and 19th Centuries” illustrate how profound such effects can be. The automation-computer-robotics revolution now underway also has the potential for serious societal changes. In this regard public works activities are subject to increasing amounts of automation with impacts upon current and net total employment and training needs. To evaluate the present status of automation in the USA, questionnaires were sent to public works authorities in 110 cities or agencies. The current degree of automation, the impact upon employment and the skills now needed by public works employers were queried. It was found that in most cases automation was just starting; but that as complete automation as was possible was inevitable given the increasing complexity of the tasks, the demands of the public and the long term prospects for public works funding. In many cases the candidates now in the work force were not properly trained for automation needs. Retraining and changes in the educational system appeared necessary if the employees now needed were to be continuously available. Public works management as well as several labor organizations appeared to be aware of this need and were organizing to handle the training problem and the changes in employment qualifications now necessary. It appeared to be a consensus that the larger societal effects of automation should be handled by society as a whole.

Engels on women, the family, class and gender

2021 ◽  
pp. 194277862110000
Author(s):  
Sheila Margaret McGregor
Keyword(s):  
Historical Materialism ◽  
Human Society ◽  
Human Beings ◽  
True Nature ◽  
Starting Point ◽  
Women's Oppression ◽  
1960S And 1970S ◽  
Socialist Movement ◽  
The Impact ◽  
The Way

This article looks at Engels’s writings to show that his ideas about the role of labour in the evolution of human beings in a dialectical relationship between human beings and nature is a crucial starting point for understanding human society and is correct in its essentials. It is important for understanding that we developed as a species on the basis of social cooperation. The way human beings produce and reproduce themselves, the method of historical materialism, provides the basis for understanding how class and women’s oppression arose and how that can explain LGBTQ oppression. Although Engels’s analysis was once widely accepted by the socialist movement, it has mainly been ignored or opposed by academic researchers and others, including geographers, and more recently by Marxist feminists. However, anthropological research from the 1960s and 1970s as well as more recent anthropological and archaeological research provide overwhelming evidence for the validity of Engels’s argument that there were egalitarian, pre-class societies without women’s oppression. However, much remains to be explained about the transition to class societies. Engels’s analysis of the impact of industrial capitalism on gender roles shows how society shapes our behaviour. Engels’s method needs to be constantly reasserted against those who would argue that we are a competitive, aggressive species who require rules to suppress our true nature, and that social development is driven by ideas, not by changes in the way we produce and reproduce ourselves.

scholarly journals Quantitative Dynamics Effects of Belt and Road Economies Trade Using Structural Gravity and Neural Networks

SAGE Open ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 215824402110326
Author(s):  
Koffi Dumor ◽  
Li Yao ◽  
Jean-Paul Ainam ◽  
Edem Koffi Amouzou ◽  
Williams Ayivi
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Network Analysis ◽  
Bilateral Trade ◽  
Belt And Road Initiative ◽  
Neural Network Analysis ◽  
Analysis Techniques ◽  
Belt And Road ◽  
The Impact ◽  
Trade Partners

Recent research suggests that China’s Belt and Road Initiative (BRI) would improve the bilateral trade between China and its partners. This article uses detailed bilateral export data from 1990 to 2017 to investigate the impact of China’s BRI on its trade partners using neural network analysis techniques and structural gravity model estimations. Our main findings suggest that the BRI countries would raise exports by a modest 5.053%. This indicates that export and network upgrades should be considered from economic and policy perspectives. The results also show that neural networks is more robust compared with structural gravity framework.

scholarly journals Laboratory test and numerical simulation of composite geomembrane leakage in plain reservoir

2021 ◽  
Vol 13 (1) ◽  
pp. 651-662
Author(s):  
Jinping Luo ◽  
Guoxiang Huang ◽  
Yanni Shao ◽  
Jian Liu ◽  
Quanyi Xie
Keyword(s):  
Laboratory Test ◽  
Water Shortage ◽  
Seepage Discharge ◽  
Threshold Distance ◽  
Water Head ◽  
Large Populations ◽  
Key Issues ◽  
Single Factor Analysis ◽  
The Impact ◽  
Leakage Location

Abstract Plain reservoir plays an important role in alleviating water shortage in plain areas which are generally crowded with large populations. As an effective and cheap anti-seepage measure, geomembrane is widely applied in plain reservoirs. Therefore, it is necessary to investigate the seepage discharge caused by composite geomembrane leakage. The laboratory test and numerical calculation are carried out in this paper to analyze the influence of three factors (i.e., water head, leakage size, and leakage location) on seepage discharge. It is found from the results of the orthogonal and single-factor analysis that the impact order of the three factors on the seepage discharge of plain reservoir is: distance from dam toe > water head > leakage size. Moreover, the seepage discharge increases as the water head, leakage size, and leakage quantity increase, in a linear relation. The opposite trend can be sawed in the seepage discharge when the distance from dam toe rises. Furthermore, a threshold distance is innovatively presented based on the results of numerical analysis. The ranking of three factors has enlightening significance for future scholars to track and study key issues of the leakage of composite geomembrane. The threshold distance presented in this paper is beneficial for engineers to manage and maintain the reservoir. Generally, the findings of this study can be beneficial to deepen the understanding of the influence of composite geomembrane leakage on the plain reservoirs.

Feasibility of telemedicine in the management strategy of patients with lymphoma amid the COVID-19 pandemic in Spain, a prospective study (Preprint)

2021 ◽  
Author(s):  
Raul Cordoba ◽  
Alberto Lopez-Garcia ◽  
Daniel Morillo ◽  
Maria-Angeles Perez-Saenz ◽  
Elham Askari ◽  
...  
Keyword(s):  
Prospective Observational Study ◽  
Digital Health ◽  
Hematologic Malignancies ◽  
Patient Portal ◽  
Health Strategy ◽  
Potential Risk Factors ◽  
Hospital Visits ◽  
A Prospective Study ◽  
The Impact

BACKGROUND Recurrent hospital visits were potential risk factors for COVID-19 contagion. OBJECTIVE The aims of this prospective observational study was to analyze the consequences of COVID-19 pandemic in the health care of patients with lymphoma and the impact of telemedicine strategies such as the patient portal in their management. METHODS All data were obtained from the electronic medical record (EMR). Variables such as age, sex, matter of the visit, use of patient’s portal, changes in management, impact in clinical trials and suffering from COVID-19 contagion were recorded. RESULTS 290 patients were attended in the lymphoma clinic accomplishing 437 appointments. The median age was 66 years (range 18-94), and 157 (54.13%) were male. Of them, 109 out of 290 (37.58%) were aged older then 70 years. Regarding number of visits, 214 patients (73.79%) had only 1 visit to the hospital. Only 23 patients (7.93%) didn’t have access to patient’s portal. During the follow-up, only 7 patients (2.41%) suffered from COVID-19, with a median age of 66 years (51-80). CONCLUSIONS Telemedicine such as patient’s portal are feasible strategies in the management of patients with lymphoma during the COVID-19 pandemic, with a reduction of in-person visits to hospital and a very low contagion rate. This experience allowed us to continue with a new digital health strategy in the follow up of patients with hematologic malignancies. CLINICALTRIAL Not registered.

Olfactory modulation of barrel cortex activity during active whisking and passive whisker stimulation

2021 ◽  
Author(s):  
Anthony Renard ◽  
Evan Harrell ◽  
Brice Bathallier
Keyword(s):  
Facial Nerve ◽  
Calcium Imaging ◽  
Tactile Stimulation ◽  
Barrel Cortex ◽  
Neuronal Responses ◽  
Population Activity ◽  
Tactile Information ◽  
Large Populations ◽  
Whisker Stimulation ◽  
The Impact

Abstract Rodents depend on olfaction and touch to meet many of their fundamental needs. The joint significance of these sensory systems is underscored by an intricate coupling between sniffing and whisking. However, the impact of simultaneous olfactory and tactile inputs on sensory representations in the cortex remains elusive. To study these interactions, we recorded large populations of barrel cortex neurons using 2-photon calcium imaging in head-fixed mice during olfactory and tactile stimulation. We find that odors alter barrel cortex activity in at least two ways, first by enhancing whisking, and second by central cross-talk that persists after whisking is abolished by facial nerve sectioning. Odors can either enhance or suppress barrel cortex neuronal responses, and while odor identity can be decoded from population activity, it does not interfere with the tactile representation. Thus, barrel cortex represents olfactory information which, in the absence of learned associations, is coded independently of tactile information.

scholarly journals #GERIATRICS: AN ANALYSIS OF THE IMPACT OF THE GERIATRICS TWITTER NETWORK

2019 ◽  
Vol 3 (Supplement_1) ◽  
pp. S337-S337
Author(s):  
Varun Ayyaswami ◽  
Arpan Prabhu ◽  
Steven Gambert
Keyword(s):  
Network Analysis ◽  
Geriatric Medicine ◽  
The United States ◽  
Annual Growth ◽  
Social Media Analytics ◽  
User Characteristics ◽  
Future Studies ◽  
Digital Community ◽  
Support Organizations ◽  
The Impact

Abstract Twitter connects an international community of healthcare stakeholders, potentially augmenting access to information related to geriatric medicine. The purpose of this study is to analyze the geriatric medicine Twitter network, and we hypothesize this community has substantially grown in the last six years. We analyzed all publicly available tweets including the hashtag #geriatrics from January 1, 2013-January 1, 2019 using Symplur Signals, a health care social media analytics platform. We evaluated #geriatrics metrics over time related to activity, content analysis, user characteristics, engagement, and network analysis. A total of 159,008 tweets (containing 42.8% re-tweets) with the hashtag #geriatrics were written by 29,443 users, resulting in 393.6 million impressions. The number of tweets increased from 9,705 in 2013 to 39,151 in 2018 (32.2% compound annual growth); users increased from 3,366 in 2013 to 29,443 in 2018 (55.3% compound annual growth). Users were primarily found in the United States, United Kingdom, and Canada. The most commonly trending topic from 2013-2015 and from 2016-2018 was ‘older adults’. The top hashtags included in tweets with #geriatrics were #job, #aging, and #hpm (hospice and palliative medicine). Network analysis showed central hubs to be medical journals, provider organizations, individual physicians, and individual advocates. The top 150 influencers consisted primarily of physicians (49.1%), advocate/support organizations (13.8%), and media organizations (6.3%). The use of Twitter to promote geriatric medicine using #geriatrics has matured into an international digital community of interest. Future studies should examine hashtags related to age prevalent illnesses and hashtags likely to be used by patients.

scholarly journals Nexus between Indigenous Ecological Knowledge and Ecosystem Services: A Socio-Ecological Analysis for Sustainable Ecosystem Management

2021 ◽  
Author(s):  
Manob Das ◽  
Arijit Das ◽  
Selim Seikh ◽  
Rajiv Pandey
Keyword(s):  
Environmental Management ◽  
Ecosystem Services ◽  
Statistical Tests ◽  
Belief Systems ◽  
Well Being ◽  
Ecological Knowledge ◽  
Human Society ◽  
Indigenous Ecological Knowledge ◽  
Demographic Attributes ◽  
The Impact

Abstract The well-being of the human society cannot be ensured and sustainable unless the flow of Ecosystem Services (ESs) would be matching with their consistent demand. The consistent flow of ESs required sustainable management of ecological resources of the ecosystem. The management of ecosystem can be ensured with variety of approaches. Integration of indigenous ecological knowledge (IEK) in management prescription with the view that IEK based extraction of ESs ensures removal of resources from the ecosystem within the limit thereby ensuring the sustainability of ecosystem. Present study is an evaluation to understand the nexus between ESs and IEK for sustainable environmental management. The focus of the study was a tribal dominated socio-ecological patch of Barind Region of Malda district, Eastern India. The assessment of ESs and IEK was based on the data collected from the randomly selected tribal households following the pre-tested questionnaire containing questions on ESs as per millennium ecosystem assessment. The data were analyzed following social preference approach, and statistical tests (Krushkal-Wallis and Mann-Whitney). General linear model (GLM) has also been used to examine the impact of socio-demographic attributes on the perceived valuation of ESs. The results revealed that the provisioning ESs (such as water, fuel wood, medical plants) was most preferred followed by cultural and regulating ESs by tribal. Differential importance of ESs was observed among tribal and accounted by gender, education as well as age of the tribe. A gap between the actual accessibility and evaluation of ESs by the tribal communities was also apparent. The socio-demographic attributes have an immense impact on the valuation of ecosystem services and also governed based on the IEK. Various types of indigenous ecological belief systems were closely linked with conservation of ecosystem and sustainable supply of ESs. Present study can contribute to understand socio-ecological nexus with the lens of IEK in tribal dominated ecological landscapes for improved ecosystem and environmental management besides ensuring sustainability of flow of ecosystem services.

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