scholarly journals Epidemiological Model for COVID-19 in China

2020 ◽  
pp. 10-17
Author(s):  
Shanshan Wu ◽  
Panpan Sun ◽  
Ruiling Li ◽  
Yanli Wang ◽  
Lifang Jiang ◽  
...  

Background. The epidemic of coronavirus disease 2019 (COVID-19) caused by the SARS-CoV-2 first broke out in Wuhan, Hubei Province in China, and then spread quickly worldwide. Objective. This study aimed to dissect the spread and end of the epidemic in China with a precise mathematical model. Methods. Various data were obtained from the official websites of the Chinese National Health from January 20 to July 8, 2020. The Chinese study participants were divided into three groups, namely, Hubei (including Wuhan), nationwide without Hubei, and Henan. The basic reproduction number (R0), effective reproduction number (Rt), and gender and age ratio of COVID-19 were calculated, and the epidemic’s predicted curves or fitting curves with peak time and end time were plotted with SIR model. These predicted curves were compared with actual scatter plots. Results. The fitting curve of the Hubei group showed a parabola with a peak on February 18, 2020, with 51,673 cases and the gradual decrease of infected patients, which culminates with a downhill after May 2020. During early outbreak, the highest recorded R0 was 6.13, which declined gradually forming a S-type curve, and it approached zero in early May. Similar to Hubei group, the fitting curve of the nationwide without Hubei group also showed a parabola, recording a peak of 9145 cases on February 10, 2020. At first, its R0 was as high as 2.35 but declined to zero in early April. The epidemic in the Henan group also reached its peak on February 10, 2020, and ended in early April as well. Conclusion. The epidemic development of COVID-19 in China followed the shape of parabolic curves. This model provides insights into how to strategize for epidemic control.

Face recognition plays a vital role in security purpose. In recent years, the researchers have focused on the pose illumination, face recognition, etc,. The traditional methods of face recognition focus on Open CV’s fisher faces which results in analyzing the face expressions and attributes. Deep learning method used in this proposed system is Convolutional Neural Network (CNN). Proposed work includes the following modules: [1] Face Detection [2] Gender Recognition [3] Age Prediction. Thus the results obtained from this work prove that real time age and gender detection using CNN provides better accuracy results compared to other existing approaches.


Author(s):  
Daniele Miano

This book focuses on the Latin goddess Fortuna, one of the better known deities in ancient Italy. The earliest forms of her worship can be traced back to archaic Latium, and she was still a widely recognized allegorical figure during the Middle Ages and the Renaissance. The main reason for her longevity is that she was a conceptual deity, and had strong associations with chance and good fortune. When they were interacting with the goddess, communities, individuals, and gender and age groups were inevitably also interacting with the concept. These relations were not neutral: they allowed people to renegotiate the concept, enriching it with new meanings and challenging established ones. The geographical and chronological scope of this book is Italy from the archaic age to the late Republic. In this period Italy was a fragmented, multicultural and multilinguistic environment, characterized by a wide circulation of people, customs, and ideas, in which Rome played an increasingly dominant role. All available sources on Fortuna have been used: literary, epigraphic, and archaeological. The study of the goddess based on conceptual analysis will serve to construct a radically new picture of the historical development of this deity in the context of the cultural interactions taking place in ancient Italy. The book also aims at experimenting with a new approach to polytheism, based on the connection between gods and goddesses and concepts.


Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 835
Author(s):  
Ioannis Tsimperidis ◽  
Cagatay Yucel ◽  
Vasilios Katos

Keystroke dynamics are used to authenticate users, to reveal some of their inherent or acquired characteristics and to assess their mental and physical states. The most common features utilized are the time intervals that the keys remain pressed and the time intervals that are required to use two consecutive keys. This paper examines which of these features are the most important and how utilization of these features can lead to better classification results. To achieve this, an existing dataset consisting of 387 logfiles is used, five classifiers are exploited and users are classified by gender and age. The results, while demonstrating the application of these two characteristics jointly on classifiers with high accuracy, answer the question of which keystroke dynamics features are more appropriate for classification with common classifiers.


Author(s):  
András Költő ◽  
Aoife Gavin ◽  
Elena Vaughan ◽  
Colette Kelly ◽  
Michal Molcho ◽  
...  

Outcome 5 of the Irish Better Outcomes, Brighter Futures national youth policy framework (“Connected, respected, and contributing to their world”) offers a suitable way to study psychosocial determinants of adolescent health. The present study (1) provides nationally representative data on how 15- to 17-year-olds score on these indicators; (2) compares sexual minority (same- and both-gender attracted youth) with their non-minority peers. We analyzed data from 3354 young people (aged 15.78 ± 0.78 years) participating in the Health Behaviour in School-aged Children (HBSC) study in Ireland. Age and social class were associated with the indicators only to a small extent, but girls were more likely than boys to report discrimination based on gender and age. Frequency of positive answers ranged from 67% (feeling comfortable with friends) to 12% (being involved in volunteer work). Sexual minority youth were more likely to feel discriminated based on sexual orientation, age, and gender. Both-gender attracted youth were less likely than the other groups to report positive outcomes. Same-gender attracted youth were twice as likely as non-minority youth to volunteer. The results indicate the importance of a comprehensive approach to psycho-social factors in youth health, and the need for inclusivity of sexual minority (especially bisexual) youth.


BMJ Open ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. e043963
Author(s):  
Jorge López Fernández ◽  
Alejandro López-Valenciano ◽  
Xián Mayo ◽  
Elizabeth Horton ◽  
Ivan Clavel ◽  
...  

Objectives(1) To describe the physical activity (PA) levels of the members of a Spanish leisure centre operator according to age and gender; (2) to describe the differences in the three PA levels between the members of a Spanish leisure centre operator and the general Spanish population considering the PA Eurobarometer data according to their gender and age and (3) to explore the intensity origin of the PA either in Spanish members of leisure centres or the Spanish population considering their gender.DesignDescriptive epidemiology study.ParticipantsData from 16 Spanish leisure centres (n=3627) and from the 2017 Eurobarometer 472 for Spain (n=1002) were used for this research.Primary and secondary outcomes measuresThe PA levels were analysed with the International Physical Activity Questionnaire short version, and respondents were grouped into physical inactivity (PIA), moderate-PA and high-PA. Moreover, gender (men or women) and age (18–29 years; 30–44 years; 45–59 years; 60–69 years; ≥70 years) were considered. Total metabolic equivalent (MET)-min/week, as well as total MET-min/week for walking intensity, moderate intensity and vigorous intensity were recorded.ResultsLeisure centres showed a lower prevalence of PIA and a higher prevalence of high-PA than the general population (p<0.05). Women displayed a higher prevalence of PIA and lower prevalence of high-PA than men (p<0.05). The prevalence of PIA increases with age while the prevalence of high-PA decreases.ConclusionLeisure centres engage most of their members in regular PA, including women and older adults, and these members also perform a higher number of MET in vigorous PA, than the general population.


Author(s):  
Lora I. Dimitrova ◽  
Eline M. Vissia ◽  
Hanneke Geugies ◽  
Hedwig Hofstetter ◽  
Sima Chalavi ◽  
...  

AbstractIt is unknown how self-relevance is dependent on emotional salience. Emotional salience encompasses an individual's degree of attraction or aversion to emotionally-valenced information. The current study investigated the interconnection between self and salience through the evaluation of emotional valence and self-relevance. 56 native Dutch participants completed a questionnaire assessing valence, intensity, and self-relevance of 552 Dutch nouns and verbs. One-way repeated-measures ANCOVA investigated the relationship between valence and self, age and gender. Repeated-measures ANCOVA also tested the relationship between valence and self with intensity ratings and effects of gender and age. Results showed a significant main effect of valence for self-relevant words. Intensity analyses showed a main effect of valence but not of self-relevance. There were no significant effects of gender and age. The most important finding presents that self-relevance is dependent on valence. These findings concerning the relationship between self and salience opens avenues to study an individual's self-definition.


2016 ◽  
Vol 60 (4) ◽  
pp. 810-833 ◽  
Author(s):  
Darrell Steffensmeier ◽  
Noah Painter-Davis ◽  
Jeffery Ulmer

Race, ethnicity, gender, and age are core foci within sociology and law/criminology. Also prominent is how these statuses intersect to affect behavioral outcomes, but statistical studies of intersectionality are rare. In the area of criminal sentencing, an abundance of studies examine main and joint effects of race and gender but few investigate in detail how these effects are conditioned by defendant’s age. Using recent Pennsylvania sentencing data and a novel method for analyzing statistical interactions, we examine the main and combined effects of these statuses on sentencing. We find strong evidence for intersectionality: Harsher sentences concentrate among young black males and Hispanic males of all ages, while the youngest females (regardless of race/ethnicity) and some older defendants receive leniency. The focal concerns model of sentencing that frames our study has strong affinity with intersectionality perspectives and can serve as a template for research examining the ways social statuses shape inequality.


Author(s):  
Ana Cornelia BUTCARU ◽  
Florin STĂNICĂ ◽  
Marian Nicolae VELCEA

One of the present challenges of food production is to bring on the market innovative products with special nutraceutical properties that can fulfill the customers’ needs. The aim of this paper is to present some original data regarding the sensorial analysis and the customers perceptions on innovative jam obtained from organic rose petals.On 1,350 sqm plot, at the UASVM of Bucharest an organic rose culture was established in 2015 with three climbing varieties: Falstaff, Brother Cadfael and Crown Princess Margareta. From the end of June 2016, the petals were collected and used for jam preparation. Besides sugar, different ingredients as: ginger, lemon juice, sea buckthorn juice and hot pepper were added. Total soluble solids and total dry matter were measured.The final products, seventeen variants of rose jam, were analyzed and tasted. Sensorial analysis was made by consumers of different ages and gender. Jam appearance, general taste, aroma, and the overall impression were noticed. V4 variant - Brother Cadfael with sea buckthorn was the most appreciated variant. For each of these top variants, target group by gender and age was analyzed. The results showed that the customers’ preferences are influenced by age and gender and the organic rose jam is a highly appreciated product.


Author(s):  
Pierluigi Carcagnì ◽  
Dario Cazzato ◽  
Marco Del Coco ◽  
Pier Luigi Mazzeo ◽  
Marco Leo ◽  
...  

AbstractIn thiswork, a real-time system able to automatically recognize soft-biometric traits is introduced and used to improve the capability of a humanoid robot to interact with humans. In particular the proposed system is able to estimate gender and age of humans in images acquired from the embedded camera of the robot. This knowledge allows the robot to properly react with customized behaviors related to the gender/age of the interacting individuals. The system is able to handle multiple persons in the same acquired image, recognizing the age and gender of each person in the robot’s field of view. These features make the robot particularly suitable to be used in socially assistive applications.


1993 ◽  
Vol 72 (1) ◽  
pp. 211-216 ◽  
Author(s):  
William C. Gross

Respondents (86 men and 141 women) enrolled in classes at a large university in the Midwest participated in this study, designed to examine the role gender and age play in the consumption of alcoholic beverages. The hypotheses that age and gender would produce significant effects were supported. Men reported significantly greater alcohol consumption than did women. In addition, there was a significant interaction between gender and age. Women under legal drinking age had higher rates of consumption than women of legal drinking age or older, while the opposite pattern was found for men. The long-term pattern of alcohol consumption may be different for men than for women. During the college years, women seem to moderate their consumption. Finally, these results indicate that illegal, underage drinking by men and women occurs at a high rate. Research should be designed to evaluate the extent of the problem.


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