scholarly journals Telemedicine and Computer-Based Technologies during Coronavirus Disease 2019 Infection; A Chance to Educate and Diagnose

2020 ◽  
Vol 23 (8) ◽  
pp. 561-563
Author(s):  
Reza Jafarzadeh-Esfehani ◽  
Mohsen Mirzaei Fard ◽  
Farzaneh Habibi Hatam-Ghale ◽  
Alireza Rezaei Kalat ◽  
Amir Fathi ◽  
...  

Coronavirus disease 2019 (COVID-19) is now of global concern due to its rapid dissemination across the globe. The rapid spread of this viral infection, along with many of its unknown aspects, has posed new challenges to the health care systems. The main challenging effects of COVID-19 are rapid dissemination through close contact and varying clinical severity among different individuals. Furthermore, the medical staff in endemic areas are becoming exhausted and deal with a considerable level of job burnout, which can negatively affect their medical decision making. Also, due to the variable pulmonary manifestations of COVID-19, some physicians may misdiagnose patients. To overcome these issues, we proposed a web-based software to aid physicians in detecting possible COVID-19 cases through online consultation with different specialists and educate the not-well experienced physicians. Our results demonstrated that this software could improve the diagnostic rate for not-well experienced physicians.

2021 ◽  
Vol 1 (4) ◽  
pp. e279
Author(s):  
Ali Niyaf ◽  
Kiran Niraula ◽  
Mohamed Sajuan Mushrif ◽  
Tej D. Azad ◽  
Megha Ghimire ◽  
...  

Introduction: The recent COVID-19 pandemic has revealed important obstacles in our health care systems, including online specialist consultations. Amidst mass lockdowns and social distancing, we observed the importance of developing a consistent method of performing effective neurological examinations that yield accurate results in a time efficient manner. Objectives: To describe our experience in the Maldives of performing effective online neurological examination. Methodology: We designed and implemented a platform for patients to register for online consultation, collected a comprehensive neurological history, including pictures/scroll-videos of past radiological reports, and guided the patient and their aide through neurological examination methods- both verbally through online video consultation and informative pictorials that depict exactly how-to perform said examinations. Conclusions: Neurological examinations are time consuming, detailed and require skill and expertise to be performed appropriately. Yet, can be customized and adapted to be performed remotely. Proper guidance by examiner and assistance by family or friend with use of pictorials can conclude a thorough online examination.


2021 ◽  
Author(s):  
Amadou Lamine Amadou DIOP ◽  
François Djah MALAN ◽  
Distel Ménéké KOUGBO

Abstract Background Ethnic groups have developed their own cultures expressed in the form of traditional health care systems. This study aimed to determine how three sympatric communities with different histories, perceive and manage malaria, a disease with a high prevalence rate in the region. Methods An ethnobotanical survey was carried out in 10 villages of Agni, Akyé and Gwa communities. Semi-structured interviews were conducted with 290 informants within all three communities. A correspondence analysis associated to hierarchical clusters was used to determine the form of malaria shared within informants. Then, the free listing technique was performed to indicate the plant species which was most important for the respondents. Besides, the Venn diagram coupled to Jaccard similarity index was used to report the homogeneity on antimalarial plants species used within the three studied communities. Moreover, the Kruskal-Wallis test was used to compare the most common antimalarial plant within communities. Finally, the fidelity level index was used to identify the most preferred plant species used to cure various forms of malaria. Results The three ethnic groups have overall a similar perception of malaria with various symptoms. However, they did not use the same plants to cure one form of this disease. The study recorded 77 medicinal plants used to cure malaria, in which, a few such as Annickia polycarpa, Gymnanthemum amygdalinum, Alstonia boonei, Nauclea latifolia, Harungana madagascariensis, Ocimum gratissimum and Senna occidentalis were the most important. The analysis of intracultural knowledge on antimalarial plants revealed that informants have shared a high knowledge. Meanwhile, there is an intercultural convergence about common plants used within communities. Therefore, 20 antimalarial plant species were shared within communities and actively used, through time. Finally, in terms of antimalarial plants knowledge, Akyé and Gwa communities were closer than Agni communities. Conclusions In spite of their different histories, the close contact of communities promote the sharing of the knowledge. People use the same important plants to cure malaria and know five forms of malaria. Knowledge on antimalarial plants does not reach a stable climax, but could be evolved by trial and error, as effective cures malaria.


2021 ◽  
Vol 19 (4) ◽  
pp. 399-406
Author(s):  
Hooshang Dadgar ◽  
◽  
Saman Maroufizadeh ◽  
Jalal Bakhtiyari ◽  
Atabak Vosoughi ◽  
...  

Objectives: COVID-19 pandemic and its consequences highlighted the importance of using telerehabilitation systems and affected the professional’s attitude toward it. This study aimed to investigate the feasibility, satisfaction, and attitude of rehabilitation professionals toward telerehabilitation during the COVID-19 pandemic in Iran. Methods: A web-based cross-sectional study was conducted to assess the feasibility, satisfaction, and attitude of rehabilitation professionals toward virtual training and telerehabilitation during the COVID-19 pandemic. A total of 118 occupational therapists, speech therapists, audiologists, psychologists, and educators completed the study questionnaires. Results: The findings indicate that the correlations among satisfaction, feasibility, advantages, and compatibility were significant (r ranging from 0.418 to 0.717). There were significant but weak positive correlations between years of working experience and scores of feasibility and advantages. In addition, the mean scores of feasibility, advantages, compatibility, and complexity in participants who provided telerehabilitation before the COVID-19 pandemic were higher than other respondents. Discussion: Because of the positive role of telerehabilitation in a situation such as the COVID-19 pandemic, health care systems should create mechanisms for its optimal use, protocol preparation, health professionals training, and infrastructure acquisition.


Author(s):  
Amaryllis Mavragani

BACKGROUND Infodemiology (ie, information epidemiology) uses web-based data to inform public health and policy. Infodemiology metrics have been widely and successfully used to assess and forecast epidemics and outbreaks. OBJECTIVE In light of the recent coronavirus disease (COVID-19) pandemic that started in Wuhan, China in 2019, online search traffic data from Google are used to track the spread of the new coronavirus disease in Europe. METHODS Time series from Google Trends from January to March 2020 on the Topic (Virus) of “Coronavirus” were retrieved and correlated with official data on COVID-19 cases and deaths worldwide and in the European countries that have been affected the most: Italy (at national and regional level), Spain, France, Germany, and the United Kingdom. RESULTS Statistically significant correlations are observed between online interest and COVID-19 cases and deaths. Furthermore, a critical point, after which the Pearson correlation coefficient starts declining (even if it is still statistically significant) was identified, indicating that this method is most efficient in regions or countries that have not yet peaked in COVID-19 cases. CONCLUSIONS In the past, infodemiology metrics in general and data from Google Trends in particular have been shown to be useful in tracking and forecasting outbreaks, epidemics, and pandemics as, for example, in the cases of the Middle East respiratory syndrome, Ebola, measles, and Zika. With the COVID-19 pandemic still in the beginning stages, it is essential to explore and combine new methods of disease surveillance to assist with the preparedness of health care systems at the regional level.


10.2196/22098 ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. e22098
Author(s):  
Ichiro Nakamoto ◽  
Ming Jiang ◽  
Jilin Zhang ◽  
Weiqing Zhuang ◽  
Yan Guo ◽  
...  

We evaluate a Bluetooth-based mobile contact-confirming app, COVID-19 Contact-Confirming Application (COCOA), which is being used in Japan to contain the spread of COVID-19, the disease caused by the novel virus termed SARS-COV-2. The app prioritizes the protection of users’ privacy from a variety of parties (eg, other users, potential attackers, and public authorities), enhances the capacity to balance the current load of excessive pressure on health care systems (eg, local triage of exposure risk and reduction of in-person hospital visits), increases the speed of responses to the pandemic (eg, automated recording of close contact based on proximity), and reduces operation errors and population mobility. The peer-to-peer framework of COCOA is intended to provide the public with dynamic and credible updates on the COVID-19 pandemic without sacrificing the privacy of their information. However, cautions must be exercised to address critical concerns, such as the rate of participation and delays in data sharing. The results of a simulation imply that the participation rate in Japan needs to be close 90% to effectively control the spread of COVID-19.


10.2196/18941 ◽  
2020 ◽  
Vol 6 (2) ◽  
pp. e18941 ◽  
Author(s):  
Amaryllis Mavragani

Background Infodemiology (ie, information epidemiology) uses web-based data to inform public health and policy. Infodemiology metrics have been widely and successfully used to assess and forecast epidemics and outbreaks. Objective In light of the recent coronavirus disease (COVID-19) pandemic that started in Wuhan, China in 2019, online search traffic data from Google are used to track the spread of the new coronavirus disease in Europe. Methods Time series from Google Trends from January to March 2020 on the Topic (Virus) of “Coronavirus” were retrieved and correlated with official data on COVID-19 cases and deaths worldwide and in the European countries that have been affected the most: Italy (at national and regional level), Spain, France, Germany, and the United Kingdom. Results Statistically significant correlations are observed between online interest and COVID-19 cases and deaths. Furthermore, a critical point, after which the Pearson correlation coefficient starts declining (even if it is still statistically significant) was identified, indicating that this method is most efficient in regions or countries that have not yet peaked in COVID-19 cases. Conclusions In the past, infodemiology metrics in general and data from Google Trends in particular have been shown to be useful in tracking and forecasting outbreaks, epidemics, and pandemics as, for example, in the cases of the Middle East respiratory syndrome, Ebola, measles, and Zika. With the COVID-19 pandemic still in the beginning stages, it is essential to explore and combine new methods of disease surveillance to assist with the preparedness of health care systems at the regional level.


2020 ◽  
pp. 000169932097674
Author(s):  
Emil Øversveen

The development of medical technologies is often assumed to improve medical treatment, but may also reproduce health inequalities if their benefits are unequally distributed. Sociological studies have shown that social and moral evaluations matter for medical decision making, and that inequalities in access and outcome exist even in universal health care systems. This article uses the distribution of medical technologies in the treatment of type 1 diabetes as a case for examining the social production of health care inequalities. Drawing on observational data and in-depth interviews with physicians and nurses working in a Norwegian hospital, I demonstrate that medical staff evaluate patients based on a combination of medical, social and moral criteria. The concept of selective empowering is then elaborated and refined as a term for the practice in which medical professionals steer resources towards patients based on evaluations of need, competence and compliance. While previous studies of inequalities in medical care have often focused on medical staff’s cognitive dispositions, I argue that selective empowering may be interpreted as a reflexive response to increasing health care costs and a structural dependency on expensive and commercially produced medical technologies.


Author(s):  
Yu Song

In many European countries, the aging population and the consequent increase in the incidence of chronic disease is causing challenges to health care systems. One solution to avoid a collapse of the systems is to conduct patient care in home environments by informal caregivers. However, constantly caring and monitoring patients may lead to heavy physical and emotional burdens on those informal caregivers. To cope with this problem, this research presents a homecare platform to partially relieve those burdens. Using community-based co-design method, the requirements of the platform are generated first where the compatibility, portability, modularity, accessibility, usability, security, affordability and scalability are addressed. Based on those requirements, an architecture of the platform is constructed where a pervasive computing homecare environment and a web-based service form the core of the platform. In the proposed pervasive computing homecare environment, activities and locations of the patient are recorded as events via a wireless sensor network. Those events are then sent and stored in a web database. Possible critical situations are identified based on the analysis of those recorded events. If any critical situations are detected, the platform will push an alarm to mobile devices of responsible caregivers for possible interventions. To verify the effectiveness and efficiency of the proposed platform, an experiment were conducted to test different technical functionalities and the usability of the platform. Limitations of the proposed platform and future research directions are discussed as well.


2018 ◽  
Vol 33 (6) ◽  
pp. 590-597 ◽  
Author(s):  
Megan E. Gregory ◽  
Jennifer L. Bryan ◽  
Sylvia J. Hysong ◽  
Isabelle S. Kusters ◽  
Rebecca S. Miltner ◽  
...  

As health care systems move toward value-based care, training future leaders in quality improvement (QI) is essential. Web-based training allows for broad dissemination of QI knowledge to geographically distributed learners. The authors conducted a longitudinal evaluation of a structured, synchronous web-based, advanced QI curriculum that facilitated engagement and real-time feedback. Learners (n = 54) were satisfied (overall satisfaction; M = 3.31/4.00), and there were improvements in cognitive (immediate QI knowledge tests; P = .02), affective (self-efficacy of QI skills; P < .001), and skill-based learning (Quality Improvement Knowledge Application Tool; P < .001). There was significant improvement in affective transfer (interprofessional attitudes on the job; p < .01) but no significant change on cognitive (distal QI knowledge test; P = .91), or skill-based transfer (self-reported interprofessional collaboration job skills; P = .23). The findings suggest that this model can be effective to train geographically distributed future QI leaders.


2021 ◽  
Vol 40 (1) ◽  
Author(s):  
Leila Jahangiry ◽  
Mahdieh Abbasalizad Farhangi

Abstract Backgrounds Web-based therapeutic approaches are new and attractive tools for primary health care systems due to their time and cost-saving nature and their accessibility for different populations. The aim of the current systematic review and meta-analysis is to summarize the results of studies evaluating the effect of web-based interventional programs on weight loss among overweight and obese individuals. Methods A literature review from 2000 to 2016 was conducted. Studies were included in the study if they had adult participants with body mass index (BMI) ≥ 25 kg/m2, a web-user intervention arm, and a non-web user control arm, with the primary aim of weight loss. Weight change in the interventional group versus control group was pooled with the random-effect model. Data were extracted on sample characteristics, drop-outs, weight loss, intervention duration, and the amount of weight loss. The mean weighted difference and 95% confidence intervals (CI) were calculated. Results Eight studies met the inclusion criteria and included in the final model. Overall, using the web-based interventions had a weak non-significant effect on weight loss in overweight and obese individuals (WMD 0.56 kg, CI − 3.474, 4.592; P = 0.786). The most important reason was the unadjusted baseline weight of experimental and control groups in included studies, although the stratified analysis showed that, low study quality score and not using feedback and goal-setting in the study were the main factors diminishing the effectiveness of web-based intervention treatment group. Conclusion The results of the current meta-analysis indicated no effectiveness of web-based interventional programs in the weight loss of overweight and obese individuals. Although the great between-study heterogeneity and a small number of included studies further highlight the need for additional researches in this field.


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