Displaying publications 161 - 180 of 211 in total

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  1. Kow CS, Sunter W, Bain A, Zaidi STR, Hasan SS
    Am J Cardiovasc Drugs, 2020 Aug;20(4):301-309.
    PMID: 32458370 DOI: 10.1007/s40256-020-00415-z
    Many healthcare resources have been and continue to be allocated to the management of patients with COVID-19. Therefore, the ongoing care of patients receiving oral anticoagulation with warfarin is likely to be compromised amid this unprecedented crisis. This article discusses a stepwise algorithm for the management of outpatient warfarin therapy. Alternative management strategies are presented and discussed, including alternative pharmacological therapy options and self-monitoring. Our algorithm aims to help clinicians safely optimize the treatment of patients requiring anticoagulation therapy in the context of the global response to the current pandemic.
    Matched MeSH terms: Pneumonia, Viral*
  2. Wan Asyraf WZ, Ah Khan YK, Chung LW, Kee HF, Irene L, Ang CL, et al.
    Med J Malaysia, 2020 05;75(3):311-313.
    PMID: 32467554
    On the 18th of March 2020, the Malaysia government declared a movement control order (MCO) due to the unprecedented COVID-19 pandemic. Although the majority of patients presented with respiratory-related symptoms, COVID-19 patients may present atypically with neurological manifestations and may even have an increased risk of stroke. The Malaysia Stroke Council is concerned regarding the level of care given to stroke patients during this pandemic. During the recent National Stroke Workflow Steering Committee meeting, a guide was made based on the currently available evidences to assist Malaysian physicians providing acute stroke care in the hospital setting in order to provide the best stroke care while maintaining their own safety. The guide comprises of prehospital stroke awareness, hyperacute stroke care, stroke care unit and intensive care unit admission, post-stroke rehabilitation and secondary prevention practice. We urge continuous initiative to provide the best stroke care possible and ensure adequate safety for both patients and the stroke care team.
    Matched MeSH terms: Pneumonia, Viral/complications*
  3. Nadarajah VD, Er HM, Lilley P
    Med Educ, 2020 08;54(8):760-761.
    PMID: 32337741 DOI: 10.1111/medu.14197
    Matched MeSH terms: Pneumonia, Viral/epidemiology*
  4. Wong J, Abdul Aziz ABZ, Chaw L, Mahamud A, Griffith MM, Lo YR, et al.
    J Travel Med, 2020 08 20;27(5).
    PMID: 32365178 DOI: 10.1093/jtm/taaa066
    Matched MeSH terms: Pneumonia, Viral/transmission*
  5. Mawaddah A, Gendeh HS, Lum SG, Marina MB
    Malays J Pathol, 2020 Apr;42(1):23-35.
    PMID: 32342928
    INTRODUCTION: To review the present literature on upper respiratory tract sampling in COVID-19 and provide recommendations to improve healthcare practices and directions in future studies.

    METHODS: Twelve relevant manuscripts were sourced from a total of 7288 search results obtained using PubMed, Medline and Google Scholar. The search keywords used were COVID-19, nasopharyngeal, oropharyngeal, swabs, SARS and CoV2. Original manuscripts were obtained and analysed by all authors. The review included manuscripts which have not undergone rigorous peer-review process in view of the magnitude of the topic discussed.

    RESULTS: The viral load of SARS-CoV-2 RNA in the upper respiratory tract was significantly higher during the first week and peaked at 4-6 days after onset of symptoms, during which it can be potentially sampled. Nasopharyngeal swab has demonstrated higher viral load than oropharyngeal swab, where the difference in paired samples is best seen at 0-9 days after the onset of illness. Sensitivity of nasopharyngeal swab was higher than oropharyngeal swabs in COVID-19 patients. Patient self-collected throat washing has been shown to contain higher viral load than nasopharyngeal or oropharyngeal swab, with significantly higher sensitivity when compared with paired nasopharyngeal swab.

    RECOMMENDATIONS: Routine nasopharyngeal swab of suspected COVID-19 infection should take anatomy of the nasal cavity into consideration to increase patient comfort and diagnostic yield. Routine oropharyngeal swab should be replaced by throat washing which has demonstrated better diagnostic accuracy, and it is safe towards others.

    Matched MeSH terms: Pneumonia, Viral/diagnosis*
  6. Tan GC, Cheong SK
    Malays J Pathol, 2020 Apr;42(1):1.
    PMID: 32342925
    No abstract available.
    Matched MeSH terms: Pneumonia, Viral/diagnosis*
  7. Cheah PK, Krisnan T, Abdul Kadir MH, Steven EM
    Emerg Med J, 2020 Aug;37(8):467.
    PMID: 32546476 DOI: 10.1136/emermed-2020-209851
    Matched MeSH terms: Pneumonia, Viral/prevention & control
  8. Salem A, Elamir H, Alfoudri H, Shamsah M, Abdelraheem S, Abdo I, et al.
    BMJ Open Qual, 2020 Nov;9(4).
    PMID: 33199287 DOI: 10.1136/bmjoq-2020-001130
    BACKGROUND: The COVID-19 pandemic represents an unprecedented challenge to healthcare systems and nations across the world. Particularly challenging are the lack of agreed-upon management guidelines and variations in practice. Our hospital is a large, secondary-care government hospital in Kuwait, which has increased its capacity by approximately 28% to manage the care of patients with COVID-19. The surge in capacity has necessitated the redeployment of staff who are not well-trained to manage such conditions. There was a great need to develop a tool to help redeployed staff in decision-making for patients with COVID-19, a tool which could also be used for training.

    METHODS: Based on the best available clinical knowledge and best practices, an eight member multidisciplinary group of clinical and quality experts undertook the development of a clinical algorithm-based toolkit to guide training and practice for the management of patients with COVID-19. The team followed Horabin and Lewis' seven-step approach in developing the algorithms and a five-step method in writing them. Moreover, we applied Rosenfeld et al's five points to each algorithm.

    RESULTS: A set of seven clinical algorithms and one illustrative layout diagram were developed. The algorithms were augmented with documentation forms, data-collection online forms and spreadsheets and an indicators' reference sheet to guide implementation and performance measurement. The final version underwent several revisions and amendments prior to approval.

    CONCLUSIONS: A large volume of published literature on the topic of COVID-19 pandemic was translated into a user-friendly, algorithm-based toolkit for the management of patients with COVID-19. This toolkit can be used for training and decision-making to improve the quality of care provided to patients with COVID-19.

    Matched MeSH terms: Pneumonia, Viral/therapy*
  9. Nienhaus A, Hod R
    Int J Environ Res Public Health, 2020 Jul 07;17(13).
    PMID: 32645826 DOI: 10.3390/ijerph17134881
    We report on the suspected case reports filed for SARS-CoV-2 infections and COVID-19 illnesses among health and social welfare workers in Germany. In addition, we report about COVID-19 in health workers in Malaysia. Claims for occupational diseases caused by SARS-CoV-2 are recorded separately in a database of the Statutory Accident Insurance and Prevention in the Health and Welfare Services (BGW). This database is analyzed according to its content as of May 22, 2020. In addition, the notifiable cases of SARS-CoV-2 infections from personnel in medical institutions (e.g., clinics and doctor's office) and social welfare institutions (e.g., nursing homes, shelters and refugee camps) following the German Infection Protection Act are analyzed. The report from Malaysia is based on personal experience and publications of the government. In Germany at present, 4398 suspected case reports for the diagnosis of SARS-CoV-2 infections among health and social workers have been filed. This figure is four times the number of all reported infections normally received per year. The majority of claims, regardless of being a confirmed infection, concerned nurses (n = 6927, 63.9%). The mortality rate for workers infected with SARS-CoV-2 is 0.2% to 0.5%. Doctors are affected by severe illness more frequently than other occupational groups (8.1% vs. 4.1%). In Malaysia, work-related infection of health workers (HW) occurred mainly when COVID-19 was not suspected in patients and no adequate personal protective equipment (PPE) was worn. Although knowledge on the spread of SARS-CoV-2 infections among workers remains limited, the impact appears to be substantial. This is supported by the mortality rate among infected workers. Occupational health check-ups carried out at the present time should be systematically analyzed in order to gain more information on the epidemiology of COVID-19 among HW. Since the supply and use of PPE improved, the infection risk of HW in Malaysia seems to have decreased.
    Matched MeSH terms: Pneumonia, Viral/mortality*
  10. Kanniah KD, Kamarul Zaman NAF, Kaskaoutis DG, Latif MT
    Sci Total Environ, 2020 Sep 20;736:139658.
    PMID: 32492613 DOI: 10.1016/j.scitotenv.2020.139658
    Since its first appearance in Wuhan, China at the end of 2019, the new coronavirus (COVID-19) has evolved a global pandemic within three months, with more than 4.3 million confirmed cases worldwide until mid-May 2020. As many countries around the world, Malaysia and other southeast Asian (SEA) countries have also enforced lockdown at different degrees to contain the spread of the disease, which has brought some positive effects on natural environment. Therefore, evaluating the reduction in anthropogenic emissions due to COVID-19 and the related governmental measures to restrict its expansion is crucial to assess its impacts on air pollution and economic growth. In this study, we used aerosol optical depth (AOD) observations from Himawari-8 satellite, along with tropospheric NO2 column density from Aura-OMI over SEA, and ground-based pollution measurements at several stations across Malaysia, in order to quantify the changes in aerosol and air pollutants associated with the general shutdown of anthropogenic and industrial activities due to COVID-19. The lockdown has led to a notable decrease in AOD over SEA and in the pollution outflow over the oceanic regions, while a significant decrease (27% - 30%) in tropospheric NO2 was observed over areas not affected by seasonal biomass burning. Especially in Malaysia, PM10, PM2.5, NO2, SO2, and CO concentrations have been decreased by 26-31%, 23-32%, 63-64%, 9-20%, and 25-31%, respectively, in the urban areas during the lockdown phase, compared to the same periods in 2018 and 2019. Notable reductions are also seen at industrial, suburban and rural sites across the country. Quantifying the reductions in major and health harmful air pollutants is crucial for health-related research and for air-quality and climate-change studies.
    Matched MeSH terms: Pneumonia, Viral*
  11. Serena Low WC, Chuah JH, Tee CATH, Anis S, Shoaib MA, Faisal A, et al.
    Comput Math Methods Med, 2021;2021:5528144.
    PMID: 34194535 DOI: 10.1155/2021/5528144
    Pneumonia is an infamous life-threatening lung bacterial or viral infection. The latest viral infection endangering the lives of many people worldwide is the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes COVID-19. This paper is aimed at detecting and differentiating viral pneumonia and COVID-19 disease using digital X-ray images. The current practices include tedious conventional processes that solely rely on the radiologist or medical consultant's technical expertise that are limited, time-consuming, inefficient, and outdated. The implementation is easily prone to human errors of being misdiagnosed. The development of deep learning and technology improvement allows medical scientists and researchers to venture into various neural networks and algorithms to develop applications, tools, and instruments that can further support medical radiologists. This paper presents an overview of deep learning techniques made in the chest radiography on COVID-19 and pneumonia cases.
    Matched MeSH terms: Pneumonia, Viral/diagnosis
  12. Ogliari G, Lunt E, Ong T, Marshall L, Sahota O
    Arch Osteoporos, 2020 10 07;15(1):156.
    PMID: 33026586 DOI: 10.1007/s11657-020-00825-1
    We investigated whether osteoporotic fractures declined during lockdown, among adults aged 50 years and older. We showed that fewer outpatients attended the Fracture Clinic, for non-hip fractures, during lockdown; in contrast, no change in admissions for hip fractures was observed. This could be due to fewer outdoors falls, during lockdown.

    PURPOSE: Many countries implemented a lockdown to control the spread of the COVID-19 pandemic. We explored whether outpatient attendances to the Fracture Clinic for non-hip fragility fracture and inpatient admissions for hip fracture declined during lockdown, among adults aged 50 years and older, in a large secondary care hospital.

    METHODS: In our observational study, we analysed the records of 6681 outpatients attending the Fracture Clinic, for non-hip fragility fractures, and those of 1752 inpatients, admitted for hip fracture, during the time frames of interest. These were weeks 1st to 12th in 2020 ("prior to lockdown"), weeks 13th to 19th in 2020 ("lockdown") and corresponding periods over 2015 to 2019. We tested for differences in mean numbers (standard deviation (SD)) of outpatients and inpatients, respectively, per week, during the time frames of interest, across the years.

    RESULTS: Prior to lockdown, in 2020, 63.1 (SD 12.6) outpatients per week attended the Fracture Clinic, similar to previous years (p value 0.338). During lockdown, 26.0 (SD 7.3) outpatients per week attended the Fracture Clinic, fewer than previous years (p value < 0.001); similar findings were observed in both sexes and age groups (all p values < 0.001). During lockdown, 16.1 (SD 5.6) inpatients per week were admitted for hip fracture, similar to previous years (p value 0.776).

    CONCLUSION: During lockdown, fewer outpatients attended the Fracture Clinic, for non-hip fragility fractures, while no change in inpatient admissions for hip fracture was observed. This could reflect fewer non-hip fractures and may inform allocation of resources during pandemic.

    Matched MeSH terms: Pneumonia, Viral/epidemiology*
  13. Lin Y, Hu Z, Alias H, Wong LP
    J Med Internet Res, 2020 Jul 20;22(7):e19982.
    PMID: 32584779 DOI: 10.2196/19982
    BACKGROUND: An extensive amount of information related to the novel coronavirus (COVID-19) pandemic was disseminated by mass and social media in China. To date, there is limited evidence on how this infodemic may influence psychobehavioral responses to the crisis.

    OBJECTIVE: The aim of this study is to assess the psychobehavioral responses to the COVID-19 outbreak and examine their associations with mass and social media exposure.

    METHODS: A cross-sectional study among medical and health sciences students from the Fujian Medical University in Fuzhou, China, was conducted between April 6-22, 2020.

    RESULTS: A total of 2086 completed responses were received. Multivariable analyses demonstrated that four constructs of the Health Belief Model (HBM)-higher perception of susceptibility (odds ratio [OR] 1.44; 95% CI 1.07-1.94), severity (OR 1.32; 95% CI 1.10-1.59), self-efficacy (OR 1.61; 95% CI 1.21-2.15), and perceived control or intention to carry out prevention measures (OR 1.32; 95% CI 1.09-1.59)-were significantly associated with a higher mass media exposure score, whereas only three constructs-higher perception of severity (OR 1.43; 95% CI 1.19-1.72), self-efficacy (OR 1.85; 95% CI 1.38-2.48), and perceived control or intention to carry out prevention measures (OR 1.32; 95% CI 1.08-1.58)-were significantly associated with a higher social media exposure score. Lower emotional consequences and barriers to carry out prevention measures were also significantly associated with greater mass and social media exposure. Our findings on anxiety levels revealed that 38.1% (n=795; 95% CI 36.0-40.2) of respondents reported moderate-to-severe anxiety. A lower anxiety level was significantly associated with higher mass and social media exposure in the univariable analyses; however, the associations were not significant in the multivariable analyses.

    CONCLUSIONS: In essence, both mass and social media are useful means of disseminating health messages and contribute to the betterment of psychobehavioral responses to COVID-19. Our findings stress the importance of the credibility of information shared through mass and social media outlets and viable strategies to counter misinformation during a pandemic.

    Matched MeSH terms: Pneumonia, Viral*
  14. Ranjbarzadeh R, Jafarzadeh Ghoushchi S, Bendechache M, Amirabadi A, Ab Rahman MN, Baseri Saadi S, et al.
    Biomed Res Int, 2021;2021:5544742.
    PMID: 33954175 DOI: 10.1155/2021/5544742
    The COVID-19 pandemic is a global, national, and local public health concern which has caused a significant outbreak in all countries and regions for both males and females around the world. Automated detection of lung infections and their boundaries from medical images offers a great potential to augment the patient treatment healthcare strategies for tackling COVID-19 and its impacts. Detecting this disease from lung CT scan images is perhaps one of the fastest ways to diagnose patients. However, finding the presence of infected tissues and segment them from CT slices faces numerous challenges, including similar adjacent tissues, vague boundary, and erratic infections. To eliminate these obstacles, we propose a two-route convolutional neural network (CNN) by extracting global and local features for detecting and classifying COVID-19 infection from CT images. Each pixel from the image is classified into the normal and infected tissues. For improving the classification accuracy, we used two different strategies including fuzzy c-means clustering and local directional pattern (LDN) encoding methods to represent the input image differently. This allows us to find more complex pattern from the image. To overcome the overfitting problems due to small samples, an augmentation approach is utilized. The results demonstrated that the proposed framework achieved precision 96%, recall 97%, F score, average surface distance (ASD) of 2.8 ± 0.3 mm, and volume overlap error (VOE) of 5.6 ± 1.2%.
    Matched MeSH terms: Pneumonia, Viral/virology
  15. Bhattacharya S, Basu P, Poddar S
    J Prev Med Hyg, 2020 Jun;61(2):E130-E136.
    PMID: 32802995 DOI: 10.15167/2421-4248/jpmh2020.61.2.1541
    SARS-CoV-2 is a new form of β-coronavirus that has been recently discovered and is responsible for COVID 19 pandemic. The earliest infection can be traced back to Wuhan, China. From there it has spread all over the world. Keeping in view the above perspective, an attempt is made in order to find out the epidemiological pattern of COVID 19 pandemic, if any, in different geo-climatological regions of the world in terms of case incidence and mortality. This study is also an endeavor to review and analyze the gradual changes of the genetic makeup of SARS-CoV from evolutionary and epidemiological perspectives. The raw data of COVID-19 cases and death incidences were collected from the World Health Organization (WHO) website from the time period: 1st April to 6th April, 2020. The data that are utilized here for general and Case fatality rate (CFR) based analysis. Western pacific region, European region and Americas have the greatest number of infected cases (P < 0.001); whereas deaths have been found to be significantly higher in Europe (P < 0.001). Total number of confirmed cases and deaths in south-east Asia are comparatively lower (P < 0.001). Case fatality rate (CFR) has also found significant for European region. SARS-CoV-2 is considered to be a strain of SARS-CoV that has a high rate of pathogenicity and transmissibility. Result indicated that the European region has been affected mostly for both cases and death incidences. The novel mutations in SARS-CoV-2 possibly increase the virus infectivity. Genetic heterogeneity of this virus within the human population might originate as the representatives of naturally selected virus quasispecies. In this context, the presence of the asymptomatic individuals could be a significant concern for SARS-CoV-2 epidemiology. Further studies are required to understand its genetic evolution and epidemiological significance.
    Matched MeSH terms: Pneumonia, Viral/epidemiology*
  16. Sundarasen S, Chinna K, Kamaludin K, Nurunnabi M, Baloch GM, Khoshaim HB, et al.
    Int J Environ Res Public Health, 2020 Aug 27;17(17).
    PMID: 32867024 DOI: 10.3390/ijerph17176206
    The COVID-19 pandemic and the lockdown has taken the world by storm. This study examines its impact on the anxiety level of university students in Malaysia during the peak of the crisis and the pertinent characteristics affecting their anxiety. A cross-sectional online survey, using Zung's self-rating anxiety questionnaire was conducted during the COVID-19 pandemic and lockdown. Out of the 983 respondents, 20.4%, 6.6%, and 2.8% experienced minimal to moderate, marked to severe, and most extreme levels of anxiety. Female gender (OR = 21.456, 95% CI = 1.061, 1.998, p = 0.020), age below 18 years (OR = 4.147, 95% CI = 1.331, 12.918, p = 0.014), age 19 to 25 (OR = 3.398, 95% CI = 1.431, 8.066, p = 0.006), pre-university level of education (OR = 2.882, 95% CI = 1.212, 6.854, p = 0.017), management studies (OR = 2.278, 95% CI = 1.526, 3.399, p < 0.001), and staying alone (OR = 2.208, 95% CI = 1.127, 4.325, p = 0.021) were significantly associated with higher levels of anxiety. The main stressors include financial constraints, remote online teaching and uncertainty about the future with regard to academics and career. Stressors are predominantly financial constraints, remote online learning, and uncertainty related to their academic performance, and future career prospects.
    Matched MeSH terms: Pneumonia, Viral/psychology*
  17. Ammar A, Mueller P, Trabelsi K, Chtourou H, Boukhris O, Masmoudi L, et al.
    PLoS One, 2020;15(11):e0240204.
    PMID: 33152030 DOI: 10.1371/journal.pone.0240204
    BACKGROUND: Public health recommendations and government measures during the COVID-19 pandemic have enforced restrictions on daily-living. While these measures are imperative to abate the spreading of COVID-19, the impact of these restrictions on mental health and emotional wellbeing is undefined. Therefore, an international online survey (ECLB-COVID19) was launched on April 6, 2020 in seven languages to elucidate the impact of COVID-19 restrictions on mental health and emotional wellbeing.

    METHODS: The ECLB-COVID19 electronic survey was designed by a steering group of multidisciplinary scientists, following a structured review of the literature. The survey was uploaded and shared on the Google online-survey-platform and was promoted by thirty-five research organizations from Europe, North-Africa, Western-Asia and the Americas. All participants were asked for their mental wellbeing (SWEMWS) and depressive symptoms (SMFQ) with regard to "during" and "before" home confinement.

    RESULTS: Analysis was conducted on the first 1047 replies (54% women) from Asia (36%), Africa (40%), Europe (21%) and other (3%). The COVID-19 home confinement had a negative effect on both mental-wellbeing and on mood and feelings. Specifically, a significant decrease (p < .001 and Δ% = 9.4%) in total score of the SWEMWS questionnaire was noted. More individuals (+12.89%) reported a low mental wellbeing "during" compared to "before" home confinement. Furthermore, results from the mood and feelings questionnaire showed a significant increase by 44.9% (p < .001) in SMFQ total score with more people (+10%) showing depressive symptoms "during" compared to "before" home confinement.

    CONCLUSION: The ECLB-COVID19 survey revealed an increased psychosocial strain triggered by the home confinement. To mitigate this high risk of mental disorders and to foster an Active and Healthy Confinement Lifestyle (AHCL), a crisis-oriented interdisciplinary intervention is urgently needed.

    Matched MeSH terms: Pneumonia, Viral/psychology*
  18. Zhang T, Wu Q, Zhang Z
    Curr Biol, 2020 Apr 06;30(7):1346-1351.e2.
    PMID: 32197085 DOI: 10.1016/j.cub.2020.03.022
    An outbreak of coronavirus disease 2019 (COVID-19) caused by the 2019 novel coronavirus (SARS-CoV-2) began in the city of Wuhan in China and has widely spread worldwide. Currently, it is vital to explore potential intermediate hosts of SARS-CoV-2 to control COVID-19 spread. Therefore, we reinvestigated published data from pangolin lung samples from which SARS-CoV-like CoVs were detected by Liu et al. [1]. We found genomic and evolutionary evidence of the occurrence of a SARS-CoV-2-like CoV (named Pangolin-CoV) in dead Malayan pangolins. Pangolin-CoV is 91.02% and 90.55% identical to SARS-CoV-2 and BatCoV RaTG13, respectively, at the whole-genome level. Aside from RaTG13, Pangolin-CoV is the most closely related CoV to SARS-CoV-2. The S1 protein of Pangolin-CoV is much more closely related to SARS-CoV-2 than to RaTG13. Five key amino acid residues involved in the interaction with human ACE2 are completely consistent between Pangolin-CoV and SARS-CoV-2, but four amino acid mutations are present in RaTG13. Both Pangolin-CoV and RaTG13 lost the putative furin recognition sequence motif at S1/S2 cleavage site that can be observed in the SARS-CoV-2. Conclusively, this study suggests that pangolin species are a natural reservoir of SARS-CoV-2-like CoVs.
    Matched MeSH terms: Pneumonia, Viral/virology*
  19. Ardakani AA, Kanafi AR, Acharya UR, Khadem N, Mohammadi A
    Comput Biol Med, 2020 Jun;121:103795.
    PMID: 32568676 DOI: 10.1016/j.compbiomed.2020.103795
    Fast diagnostic methods can control and prevent the spread of pandemic diseases like coronavirus disease 2019 (COVID-19) and assist physicians to better manage patients in high workload conditions. Although a laboratory test is the current routine diagnostic tool, it is time-consuming, imposing a high cost and requiring a well-equipped laboratory for analysis. Computed tomography (CT) has thus far become a fast method to diagnose patients with COVID-19. However, the performance of radiologists in diagnosis of COVID-19 was moderate. Accordingly, additional investigations are needed to improve the performance in diagnosing COVID-19. In this study is suggested a rapid and valid method for COVID-19 diagnosis using an artificial intelligence technique based. 1020 CT slices from 108 patients with laboratory proven COVID-19 (the COVID-19 group) and 86 patients with other atypical and viral pneumonia diseases (the non-COVID-19 group) were included. Ten well-known convolutional neural networks were used to distinguish infection of COVID-19 from non-COVID-19 groups: AlexNet, VGG-16, VGG-19, SqueezeNet, GoogleNet, MobileNet-V2, ResNet-18, ResNet-50, ResNet-101, and Xception. Among all networks, the best performance was achieved by ResNet-101 and Xception. ResNet-101 could distinguish COVID-19 from non-COVID-19 cases with an AUC of 0.994 (sensitivity, 100%; specificity, 99.02%; accuracy, 99.51%). Xception achieved an AUC of 0.994 (sensitivity, 98.04%; specificity, 100%; accuracy, 99.02%). However, the performance of the radiologist was moderate with an AUC of 0.873 (sensitivity, 89.21%; specificity, 83.33%; accuracy, 86.27%). ResNet-101 can be considered as a high sensitivity model to characterize and diagnose COVID-19 infections, and can be used as an adjuvant tool in radiology departments.
    Matched MeSH terms: Pneumonia, Viral/diagnosis*
  20. Sanmugam A, Vythilingam G, Singaravel S, Nah SA
    Pediatr Surg Int, 2020 Aug;36(8):925-931.
    PMID: 32594243 DOI: 10.1007/s00383-020-04704-1
    PURPOSE: The COVID-19 pandemic has placed an unprecedented test on the delivery and management of healthcare services globally. This study describes the adaptive measures taken and evolving roles of the members of the paediatric surgery division in a developing country during this period.

    METHODS: We adopted multiple adaptive strategies including changes to stratification of surgeries, out-patient services by urgency and hospital alert status, policy writing involving multidisciplinary teams, and redeployment of manpower. Modifications were made to teaching activities and skills training to observe social distancing and mitigate reduced operative learning opportunities. Roles of academic staff were expanded to include non-surgical duties.

    RESULTS: The planned strategies and changes to pre COVID-19 practices were successful in ensuring minimal disruption to the delivery of essential paediatric surgical services and training. Despite the lack of established guidelines and literature outlining strategies to address the impact of this pandemic on surgical services, most of the initial measures employed were consistent with that of other surgical centres.

    CONCLUSION: Changes to delivery of surgical services and surgical training warrant a holistic approach and a constant re-evaluation of practices with emergence of new experiences and guidelines.

    Matched MeSH terms: Pneumonia, Viral/epidemiology*
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