• Title/Summary/Keyword: covid-19

Search Result 4,383, Processing Time 0.028 seconds

COVID-19 Risk Analytics and Safe Activity Assistant Systemwith Machine Learning Algorithms (머신 러닝 알고리즘을 이용한 COVID-19 Risk 분석 및 Safe Activity 지원 시스템)

  • Jeon, DoYeong;Song, Myeong Ho;Kim, Soo Dong
    • Journal of Internet Computing and Services
    • /
    • v.22 no.1
    • /
    • pp.65-77
    • /
    • 2021
  • COVID-19 has recently impacted the world with the large numbers of infected and deaths. The development of effective COVID-19 vaccine has not been successful. Hence, people have a high concern on the infection of this disease. The infection information from the governmantal public organizations are mainly based on simple summary statistics. Consequently, it is hard to assess the infection risks of individual person and the current location of the person. In this paper, we present a machine learning-based software system that analyzes COVID-19 infection risks and guidelines for safe activities.This paper proposes a suite of risk factors regarding COVID-19 infection and deaths and methods to quantitatively measure the individual and group risks using the proposed metrics. The proposed system utilizes a clustering algorithms and various software approaches that reflect the information and features of inviduals and their geograpical locations.

Determinants of COVID-19 related infection rates and case mortality rates: 95 country cases (코로나-19 관련 감염률과 치명률의 결정요인: 95개국 사례연구)

  • Jin, Ki Nam;Han, Ji Eun;Park, Hyunsook;Han, Chuljoo
    • Korea Journal of Hospital Management
    • /
    • v.25 no.4
    • /
    • pp.1-12
    • /
    • 2020
  • During the COVID-19 pandemic, most of the western countries with advanced medical technology failed to contain coronavirus. This fact triggered our research question of what factors influence the clinical outcomes like infection rates and case mortality rates. This study aims to identify the determinants of COVID-19 related infection rates and case mortality rates. We considered three sets of independent variables: 1) socio-demographic characteristics; 2) cultural characteristics; 3) healthcare system characteristics. For the analysis, we created an international dataset from diverse sources like World Bank, Worldometers, Hofstede Insight, GHS index etc. The COVID-19 related statistics were retrieved from Aug. 1. Total cases are from 95 countries. We used hierarchical regression method to examine the linear relationship among variables. We found that obesity, uncertainty avoidance, hospital beds per 1,000 made a significant influence on the standardized COVID-19 infection rates. The countries with higher BMI score or higher uncertainty avoidance showed higher infection rates. The standardized COVID-19 infection rates were inversely related to hospital beds per 1,000. In the analysis on the standardized COVID-19 case mortality rates, we found that two cultural characteristics(e.g., individualism, uncertainty avoidance) showed statistically significant influence on the case mortality rates. The healthcare system characteristics did not show any statistically significant relationship with the case mortality rates. The cultural characteristics turn out to be significant factors influencing the clinical outcomes during COVID-19 pandemic. The results imply that the persuasive communication is important to trigger the public commitment to follow preventive measures. The strategy to keep the hospital surge capacity needs to be developed.

Estimation of the Potential Impacts of COVID-19 on Poverty in ASEAN Countries (코로나19 팬데믹의 아세안 빈곤에 대한 잠재적 영향 추정 및 시사점)

  • Bang, Hokyung;Yang, Eunjeong
    • Economic Analysis
    • /
    • v.27 no.1
    • /
    • pp.37-66
    • /
    • 2021
  • This paper examines the potential impacts of COVID-19 on poverty in ASEAN countries. The first estimate, adopted from Summer et al. (2020) and Nonvide (2020), configures three scenarios of contractions in per capita household income or consumption; the impact of each scenario on poverty is calculated using poverty lines at different thresholds. In the second estimate, poverty impacts in 2020 and 2021 were projected using regression models controlling for unobserved country effects, unbalanced data, and endogeneity. COVID-19 has been shown to have negative impacts on poverty reduction in the ASEAN Member States. To reduce poverty, concerted efforts are needed to implement policies for reducing income inequality and promoting economic growth. Such efforts will not only speed up the countries' return to pre-pandemic poverty levels but also contribute to further accelerating poverty reduction.

Laryngeal Complications of the COVID-19 (코로나-19 감염에 의한 후두 합병증)

  • Geun-Jeon, Kim;Young-Hoon, Joo
    • Journal of the Korean Society of Laryngology, Phoniatrics and Logopedics
    • /
    • v.33 no.3
    • /
    • pp.156-159
    • /
    • 2022
  • The coronavirus disease 2019 (COVID-19) pandemic caused by the novel severe acute respiratory syndrome coronavirus-2 has upended the world of otolaryngology. After COVID-19 infection, patients experience various complication of symptoms due to injury of the larynx and lung/ respiratory system. Regardless of the patient's severity, patients can experience several complications including dysphonia, vocal cord paralysis/paresis and sensory neuropathy. An emerging role for otolaryngologists in the coming weeks and months is the management of laryngeal complications of COVID-19. This review is intended to describe laryngeal complications in patients recovering from COVID-19 infection.

A Study on the Policy Directions for the Development of Skill Convergence in the Post-COVID19 Era (포스트코로나시대 융합인재양성을 위한 정책방향연구)

  • Kim, Eun-Bee;Cho, Dae-Yeon;Roh, Kyung-Ran;Oh, Seok-Young;Park, Kee-Burm;Ryoo, Joshua;Kim, Jhong-Yun
    • Journal of the Korea Convergence Society
    • /
    • v.12 no.3
    • /
    • pp.247-259
    • /
    • 2021
  • This study aimed to look for educational ways to prepare for the future society for education and people of talent who will lead the post-COVID-19 era. To this end, the factors necessary for the type of future talent in the post-COVID-19 era were identified by analyzing Big data. Based on the deducted factors composing the type of talent in the post-COVID-19 era, policy direction according to the emergence of the post-COVID-19 era were deducted through the interviews with the group of experts and delphi survey, and on the basis of this, this study sought for"a plan for the educational change in line with cultivation of people of talent in the post-COVID-19 era. The results of this study are as follows. First, through the big data analytics and analysis of the interviews, convergence, ICT utilization ability, creativity, self-regulated competency and leadership were found to be the factors necessary for the type of talent in the post-COVID-19 era. Second, it considered the innovation of digital education system and the support for vulnerable classes as the issue for cultivation of people of talent in the post-COVID-19 era. Third, the most important policy with regard to the educational direction for cultivation of people of talent in the post-COVID-19 era was cultivation of convergence talents. Convergence is a very important variable in the post-COVID-19 era since it creates new values by connecting things that are separated from each other. Hopefully, this study will build a basis for competency development, education and training in preparation for the post-COVID-19 era.

Impact of the COVID-19 pandemic on oral healthcare among children and teachers in kindergarten and daycare centers (유치원과 어린이집 교사의 COVID-19 구강건강관리의 영향)

  • Myoung-Hee Kim;Eun-Joo Hong;Yu-Jin Kwon;Young-Sun Hwang
    • Journal of Korean society of Dental Hygiene
    • /
    • v.22 no.6
    • /
    • pp.485-494
    • /
    • 2022
  • Objectives: The COVID-19 outbreak has resulted in changes in the instructional methods used in kindergartens and daycare centers to prevent viral infections. This study aimed to investigate the changes in oral health care for children before and during COVID-19 and the perceptions of kindergarten and daycare center teachers about oral health care. Methods: The study subjects were 189 teachers of kindergartens and daycare centers in charge of children aged 3 to 5. The data for the analysis were collected through an online survey. Frequency analysis and the chi-squared test were used for statistical analysis. Results: Compared to before COVID-19, the frequency of tooth brushing after lunch, the number of oral health education and regular oral examinations, and the rate of childcare teachers' experiences with oral health education had decreased during COVID-19. In addition, educators in kindergarten and daycare centers responded that an oral health officer at a public health center was the most desirable oral health educator. Conclusions: During the COVID-19 pandemic, the oral health care of children in kindergartens and daycare centers has declined. Efforts are needed to restore it by educating people about oral hygiene care and oral health education, both at home and in kindergartens and daycare centers.

Factors associated with parental intention to vaccinate their preschool children against COVID-19: a cross-sectional survey in urban area of Jakarta, Indonesia

  • Theresia Santi;Badriul Hegar;Zakiudin Munasir;Ari Prayitno;Retno Asti Werdhani;Ivo Novita Sah Bandar;Juandy Jo;Ruswati Uswa;Ratna Widia;Yvan Vandenplas
    • Clinical and Experimental Vaccine Research
    • /
    • v.12 no.3
    • /
    • pp.240-248
    • /
    • 2023
  • Purpose: We reported a survey-based study assessing the parental intention to vaccinate children of 5 to 7 years old against coronavirus disease 2019 (COVID-19). The aim of this study is to assess factors influencing the parental intention to vaccinate their children against COVID-19. Materials and Methods: This study adopted a cross-sectional design, held at the public health center of Senen district, Jakarta, Indonesia from November 1-30, 2022. The off-line questionnaires were distributed via the school administrator to all eligible parents. Factors associated with intention to vaccinate were analyzed with the regression logistic models. Results: Of the 435 parents in this study, 215 had already vaccinated their children against COVID-19 (49.4%), and the overall intention of the participants to vaccinate was 69.7%. Factors associated with intention to vaccinate the children against COVID-19 were parental employment status, parental COVID-19 vaccine status and concern of contracting COVID-19. Parents who are employed, had completed vaccines with COVID-19 booster vaccine, and had concern of their children contracting COVID-19 were more likely to vaccinate their children (odds ratio [OR], 2.10; 95% confidence interval [CI], 1.22-3.69; p=0.011; OR, 2.15; 95% CI, 1.21-3.83; p=0.013; OR, 2.40; 95% CI, 1.34-4.30; p=0.004, respectively). Concern on the vaccine's side effects was negatively associated with the willingness to vaccinate. Conclusion: This study showed that childhood COVID-19 vaccine only covered half of the population, with parental intentions for childhood COVID-19 vaccination being high, reaching almost two-thirds of the study participants. Factors influencing parental intentions were employment status, parental COVID-19 vaccine status, concerns about COVID-19 and concerns about vaccine side effects.

Analysis of Keyword Search Trends Related to Adolescents and Dietary Habits Before and After COVID-19 Using Text Mining (텍스트 마이닝을 이용한 코로나19 전후 청소년과 식생활 관련 키워드 검색 경향 분석)

  • Oh, Sang-Mi;Jung, Lan-Hee;Jeon, Eun-Raye
    • Journal of Korean Home Economics Education Association
    • /
    • v.36 no.1
    • /
    • pp.39-54
    • /
    • 2024
  • This study analyzed Naver, Daum, Google, YouTube, and Twitter using TEXTOM for two years and four years as of January 18, 2020. The results are as follows. First, the total number and volume of keyword search data related to youth and diet were slightly higher after COVID-19, showing that interest increased due to COVID-19. Second, as a result of frequency analysis, 'education' was the highest before COVID-19, and 'health' was the highest after COVID-19, showing that interest in health is increasing due to the increased importance of health and immunity due to COVID-19. Third, as a result of frequency weight analysis of the top 50 keywords, 'education' showed the highest frequency before COVID-19, and 'acne' after COVID-19. Fourth, the results visualized using word cloud showed that the keywords 'education' before COVID-19 and 'health' after COVID-19 appeared the largest and boldest, showing the highest frequency and importance. As a result of the above results, we were able to use the text mining method to apply it to eating habits, and we used materials visualized as a highly readable word cloud in units such as eating problems in adolescence and balanced meal planning and selection in the home economics curriculum to improve the teaching of the class. The direction of proper eating habits education, including using it as a medium, was presented.

Post-COVID-19 pain syndrome: a descriptive study in Turkish population

  • Topal, Ilknur;Ozcelik, Necdet;Atayoglu, Ali Timucin
    • The Korean Journal of Pain
    • /
    • v.35 no.4
    • /
    • pp.468-474
    • /
    • 2022
  • Background: The new type of corona virus has a wide range of symptoms. Some people who have COVID-19 can experience long-term effects from their infection, known as post-COVID conditions. The authors aimed to investigate prolonged musculoskeletal pain as a symptom of the post-COVID-19 condition. Methods: This is a descriptive study on the patients who were diagnosed with COVID-19 in a university hospital, between March 2020 and March 2021. Patient records and an extensive questionnaire were used to obtain relevant demographic and clinical characteristics, including hospitalization history, comorbidities, smoking history, duration of the pain, the area of pain, and the presence of accompanying neuropathic symptoms. Results: Of the diagnosed patients, 501 agreed to participate in the study. Among the participants, 318 had musculoskeletal pain during COVID-19 infection, and 69 of them reported prolonged pain symptoms as part of their a post-COVID condition which could not be attributed to any other cause. The mean duration of pain was 4.38 ± 1.73 months, and the mean pain level was 7.2 ± 4.3. Neuropathic pain symptoms such as burning sensation (n = 16, 23.2%), numbness (n = 15, 21.7%), tingling (n = 10, 14.5%), stinging (n = 4, 5.8%), freezing (n = 1, 1.4%) were accompanied in patients with prolonged musculoskeletal pain. Conclusions: Patients with COVID-19 may develop prolonged musculoskeletal pain. In some patients, neuropathic pain accompanies it. Awareness of prolonged post-COVID-19 pain is crucial for its early detection and management.

The Effects of Restrictions in Economic Activity on the Spread of COVID-19 in the Philippines: Insights from Apple and Google Mobility Indicators

  • CAMBA, Abraham C. Jr.;CAMBA, Aileen L.
    • The Journal of Asian Finance, Economics and Business
    • /
    • v.7 no.12
    • /
    • pp.115-121
    • /
    • 2020
  • This study aims to investigate the effects of restrictions in economic activity on the spread of COVID-19 in the Philippines. This research employs daily time-series data of confirmed new COVID-19 cases, Apple mobility trends (i.e., use of public transport to destinations, volume of people driving, and amount of walking to destinations) and Google community mobility (i.e., visits to transit stations, visits to workplaces, and staying-at-home) indicators covering the period February 17 to September 11, 2020. The analysis starts by establishing the correlation pattern of new confirmed COVID-19 daily infections to each independent variable. The results show negative linear correlation of the number of new COVID-19 daily infections with less visit to transit station, increase stay-at-home, less use of public transport, and less amount of walking to destinations. Interestingly, the number of new COVID-19 daily infections indicates some form of positive linear correlation with visits to workplaces and volume of people driving. Moreover, employing robust least square regression via the method of MM-estimation, major findings reveal that across mobility measures, staying-at-home has the highest impact on reducing the spread of COVID-19, followed by visiting transit stations less, less use of public transport, less amount of walking, and less workplace visits.