• Title/Summary/Keyword: Infectious disease management

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Infection Control of Hospital Nurses: Cases of Middle East Respiratory Syndrome (간호사의 중동호흡기증후군 감염 실태와 감염관리 인식)

  • June, Kyung Ja;Choi, Eunsuk
    • Korean Journal of Occupational Health Nursing
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    • v.25 no.1
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    • pp.1-8
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    • 2016
  • Purpose: The 2015 Korean Middle East Respiratory Syndrome Coronavirus (MERS-CoV) outbreaks resulted in 186 cases, with 8% (15 persons) of these being nurses. This study aimed to examine MERS-CoV infection status of clinical nurses and to evaluate perception for infection control. Methods: We investigated the MERS-CoV infection status of nurses using MERS-CoV press release data. We examined and analysed perception for Infection control of 121 nurses of the three MERS intensive therapeutic hospitals in July 2015. Results: One to six nurses per hospital in total 8 health care facilities were infected with MERS-CoV. They mainly had short clinical careers and were unaware of infection possibility. The personal and organizational infection control levels that nurses perceive were low and the relationship between two levels was statistically significant. Conclusion: For promoting health protection and infectious disease management competency of nurses, it is necessary to prepare institutional system for controlling infectious disease.

Automation Monitoring With Sensors For Detecting Covid Using Backpropagation Algorithm

  • Kshirsagar, Pravin R.;Manoharan, Hariprasath;Tirth, Vineet;Naved, Mohd;Siddiqui, Ahmad Tasnim;Sharma, Arvind K.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.15 no.7
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    • pp.2414-2433
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    • 2021
  • This article focuses on providing remedial solutions for COVID disease through the data collection process. Recently, In India, sudden human losses are happening due to the spread of infectious viruses. All people are not able to differentiate the number of affected people and their locations. Therefore, the proposed method integrates robotic technology for monitoring the health condition of different people. If any individual is affected by infectious disease, then data will be collected and within a short span of time, it will be reported to the control center. Once, the information is collected, then all individuals can access the same using an application platform. The application platform will be developed based on certain parametric values, where the location of each individual will be retained. For precise application development, the parametric values related to the identification process such as sub-interval points and intensity of detection should be established. Therefore, to check the effectiveness of the proposed robotic technology, an online monitoring system is employed where the output is realized using MATLAB. From simulated values, it is observed that the proposed method outperforms the existing method in terms of data quality with an observed percentage of 82.

A Machine Learning Univariate Time series Model for Forecasting COVID-19 Confirmed Cases: A Pilot Study in Botswana

  • Mphale, Ofaletse;Okike, Ezekiel U;Rafifing, Neo
    • International Journal of Computer Science & Network Security
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    • v.22 no.1
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    • pp.225-233
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    • 2022
  • The recent outbreak of corona virus (COVID-19) infectious disease had made its forecasting critical cornerstones in most scientific studies. This study adopts a machine learning based time series model - Auto Regressive Integrated Moving Average (ARIMA) model to forecast COVID-19 confirmed cases in Botswana over 60 days period. Findings of the study show that COVID-19 confirmed cases in Botswana are steadily rising in a steep upward trend with random fluctuations. This trend can also be described effectively using an additive model when scrutinized in Seasonal Trend Decomposition method by Loess. In selecting the best fit ARIMA model, a Grid Search Algorithm was developed with python language and was used to optimize an Akaike Information Criterion (AIC) metric. The best fit ARIMA model was determined at ARIMA (5, 1, 1), which depicted the least AIC score of 3885.091. Results of the study proved that ARIMA model can be useful in generating reliable and volatile forecasts that can used to guide on understanding of the future spread of infectious diseases or pandemics. Most significantly, findings of the study are expected to raise social awareness to disease monitoring institutions and government regulatory bodies where it can be used to support strategic health decisions and initiate policy improvement for better management of the COVID-19 pandemic.

CONTROL OF SWINE DISEASE - Review-

  • Furuuchi, S.
    • Asian-Australasian Journal of Animal Sciences
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    • v.5 no.3
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    • pp.411-418
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    • 1992
  • Recently, onset of bacterial disease, especially infiltration of chronic respiratory diseases have been increasing at high rate. The main cause of these diseases are originated from inappropriate sanitary management and slow progress in introducing system and herd free system, which are the base of productivity improvement in bigger pig management, Methods for the prevention and removal of these diseases, are divided into four categories. The first category includes prevention and removal of infectious diseases by organizing strict animal quarantine, enforcing vaccination, and legal regulation and disposal at the time of outbreak. The second category includes improvement of production systems. This purpose can be achieved by discontinuing the open herd system, which brings on the invasion of foreign pathogens and replacing the system by the closed type of farm. To Continue eradication process step-wisely by performing the all-in all-out system at every pig pen or herd level is also effective for this purpose. The third category includes introduction of herd free system can be achieved by repopulating conventional pigs with SPF pigs. If these means are unrealizable from economic or technical viewpoint, medicated early weaning system is perfomed. This system consists of disinfection of pigsty at pre-postpartum stage, application of drugs to pregnant sows and newborn piglets in accordance with the medication program, and early weaning and rearing of newborn piglets in isolation. The fourth category is sanital leading by veterinarians, aimed to eliminating incentives for diseases through diagnoses. Their main activities include periodical monitoring and improvement leading on each responsible subject.

The relationship between social class distribution and mortality (사회계급 분포와 사망률과의 연관성)

  • 윤태호
    • Health Policy and Management
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    • v.13 no.4
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    • pp.99-114
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    • 2003
  • This study was performed to determine the effect of social class distribution as measured by lower social class rate on all cause and cause specific mortality in Korea. I obtained data on social class, fiscal autonomy of municipalities, number of medical doctors, region(Si/Gun) from 1955 Korea Census Data and Regional Statistics Data. And all of the data on mortality adjusted for age for 1995 for each district from the National Statistics Office. Lower social class rate ranged from 18.9% for Kangnam gu to 85.7% for Imsil gun and age standardized mortality ranged from 385/100,000 population for Kangnam go to 803/100,000 population for Sinan gun. Lower social class showed had a significant correlation with total mortality adjusted for age(r=0.81, p<0.0001). The association of the rate to total mortality remained highly significant after adjusted for number of medical doctors per 1,000 population, fiscal autonomy of municipalities and region(p<0.0001). Effects of the lower social class were also found for neoplasm (p=0.0008); cardiovascular disease (p<0.0001); infectious disease(p=0.0115); respiratory disease(p=0.0085); gastrointestinal disease(p<0.0001); accident & poisoning (p<0.0001). The findings suggest that policies that deal with the inequality in social class may have an important impact on the health of the population.

A Study on the Disease Prevention Monitoring System Using IoMT Environment (IoMT 환경을 이용한 질병 예방 모니터링 시스템에 관한 연구)

  • Sung-Ho, Sim
    • Journal of Industrial Convergence
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    • v.21 no.2
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    • pp.111-116
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    • 2023
  • Recently, viral infectious diseases and new diseases are not limited to one region, but are spreading worldwide, causing serious economic and social damage. In addition, the development cycle of new diseases is shortening, and the rate of spread is accelerating. In order to prevent the spread of disease, passive forms of response after a disease outbreak, such as personal and regional quarantine and border closure, are prioritized. This type of response has many shortcomings as a fundamental response to preventing the spread of disease. Therefore, this study proposes a disease prevention monitoring system including new disease occurrence information. In this study, disease information and user information are collected through the establishment of the IoMT environment. Information collection using an agent collects and classifies data registered in the disease information server. In the IoMT environment, user data is collected, and whether the user is infected with a disease is evaluated and provided to the user. Through this study, individual disease symptom information can be provided and active countermeasures against the spread of disease can be provided.

A model for preventing the spread of infectious diseases using beacons (비콘을 활용한 감염병 확산 방지 시스템에 관한 모델)

  • Kim, Ho-Yoon;Kim, Hyo-Jong;Shin, Seung-Soo
    • Journal of Convergence for Information Technology
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    • v.11 no.8
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    • pp.14-22
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    • 2021
  • As the Covid-19 outbreak spreads and prolongs around the world, visitor lists are prepared in various ways when entering the facility to prevent infection and identify confirmed people. In this study, we propose an access management system using beacons to solve the problems with the preparation and management of existing visitor lists. The research method searches the laws related to the collection of personal information and compares the current status of personal information collection and trends in the beacons. The proposed system compares and analyzes existing methods and security and efficiency, which confirm accurate and rapid access registration. By using Beacon access management system, it is effective in preventing and responding to the spread of new infectious diseases in the future.

A Small-and-medium-sized Hospital's Crisis Management during 2015 MERS Outbreak: A Case of G Hospital (중소병원의 2015 MERS 위기 대응: G병원의 사례)

  • Son, Heejung;Kim, Kwang-Jum
    • Korea Journal of Hospital Management
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    • v.22 no.3
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    • pp.144-156
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    • 2017
  • Purpose: Crisis is inevitable to every organization and therefore, successful crisis management is critical to the organizations' survival and prosperity. With the understanding, this study aims to draw propositions for successful crisis management of hospitals when facing infectious disease outbreak. For the purpose, a case of a small and medium sized hospital's experience of crisis management during 2015 Middle East Respiratory Syndrome outbreak was analyzed. Methodology/Approach: The detailed internal circumstances and experiences of the hospital during the MERS outbreak were identified by in-depth interview as well as the extensive material review, and analyzed under the view of the theories of accident, error, and crisis in relation of organization management Findings: Overall, nine propositions are drawn by the phase of crisis. In pre-crisis phase, for example, 'the hospital preparedness has positive influence on the effective responding to the crisis'. In detection phase, 'the mindfulness of the hospital organizations' as well as the individuals' has positive influence on detecting the crisis signals'. In crisis phase, for example, 'improvising naturally occurs in crisis by the unknown disease, therefore, a component site supervisor coordinating such improvision is important'. Lastly, in post-crisis phase, 'successful crisis responding experience facilitates the positive hospital culture'. Practical implication: From the experience of a small and medium size hospital, it is suggested that proactive system approach oriented by safety is beneficial for effective crisis management.

The Role and Policy of Korean Medicine Doctor for the Prevention and Management of Infectious Diseases: A Mixed-Methods Approach (감염병 예방 및 관리를 위한 한의사의 역할과 정책적 과제: 혼합연구방법론을 적용하여)

  • Juchul Kim;Heasun Chun;HeeJung Lee;Jungtae Leem
    • The Journal of Korean Medicine
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    • v.44 no.2
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    • pp.45-59
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    • 2023
  • Objectives: This study investigated the role of Korean medicine doctors in the national quarantine system and the status of their duties through questionnaire surveys and in-depth interviews with Korean medicine staff who participated in COVID-19 work. Methods: We developed a questionnaire survey to investigate the status and perception of Korean medicine doctors' participation in responding to infectious diseases, and the results were derived by conducting frequency analysis and T-test using SPSS program. The measurement variables of this study were the status of COVID-19 related work participation and perception of Korean medicine doctors' role in infectious diseases, and the maximum significance level was 0.05. Results: There were 300 respondents to the survey, and as for the COVID-19 related work, Korean medicine treatment for COVID-19 patients accounted for the most(52.7%), and various preventive and treatment tasks such as epidemiological investigations and specimen collection were conducted. Conclusion: According to this study, it was confirmed that there are sufficient legal and administrative grounds for Korean medicine doctors to perform specimen collection and epidemiological investigations. Therefore, it is necessary to prepare a policy framework to solidify the status of Korean medicine doctors in national infectious diseases in the future.

Survey and Phylogenetic Analysis of Rodents and Important Rodent-Borne Zoonotic Pathogens in Gedu, Bhutan

  • Phuentshok, Yoenten;Dorji, Kezang;Zangpo, Tandin;Davidson, Silas A.;Takhampunya, Ratree;Tenzinla, Tenzinla;Dorjee, Chencho;Morris, Roger S.;Jolly, Peter D.;Dorjee, Sithar;McKenzie, Joanna S.
    • Parasites, Hosts and Diseases
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    • v.56 no.5
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    • pp.521-525
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    • 2018
  • Rodents are well-known reservoirs and vectors of many emerging and re-emerging infectious diseases, but little is known about their role in zoonotic disease transmission in Bhutan. In this study, a cross-sectional investigation of zoonotic disease pathogens in rodents was performed in Chukha district, Bhutan, where a high incidence of scrub typhus and cases of acute undifferentiated febrile illness had been reported in people during the preceding 4-6 months. Twelve rodents were trapped alive using wire-mesh traps. Following euthanasia, liver and kidney tissues were removed and tested using PCR for Orientia tsutsugamushi and other bacterial and rickettsial pathogens causing bartonellosis, borreliosis, human monocytic ehrlichiosis, human granulocytic anaplasmosis, leptospirosis, and rickettsiosis. A phylogenetic analysis was performed on all rodent species captured and pathogens detected. Four out of the 12 rodents (33.3%) tested positive by PCR for zoonotic pathogens. Anaplasma phagocytophilum, Bartonella grahamii, and B. queenslandensis were identified for the first time in Bhutan. Leptospira interrogans was also detected for the first time from rodents in Bhutan. The findings demonstrate the presence of these zoonotic pathogens in rodents in Bhutan, which may pose a risk of disease transmission to humans.