Online ISSN: 2515-8260

Keywords : RT-PCR


A CROSS SECTIONAL STUDY ON KNOWLEDGE AND PERCEPTIONS OF MEDICAL STUDENTS ABOUT COVID-19 PANDEMIC

Dr. Kavitha BS,Dr. Shashiraj HK, Dr. Shomi Anand

European Journal of Molecular & Clinical Medicine, 2021, Volume 8, Issue 4, Pages 1685-1688

Introduction: The spread of COVID-19 pandemic globally has left us with many unanswered questions about the spread, modality of treatment and preventive measures to be taken to reduce its spread. Lack of sufficient knowledge about the virus and the lack of clarity about preventive measures has led to lot of confusion about healthcare practices. First year medical students although not involved in treatment of COVID-19 patients they can act as information providers and sensitize the community about the pandemic. Hence the present study was taken up among first year medical students.
Aim: To assess the basic knowledge about Novel Corona virus disease and its spread and clear the myths among them regarding COVID-19.
Materials and methods: A cross sectional survey was conducted among first year medical students belonging to 2019-20 batch. Data was tabulated using Microsoft office excel sheet and the response were expressed as total count and percentages distribution. Data was analyzed using EPI INFO (Version 7).
Results: Majority of the study participants have good knowledge about the virus, origin of the first case and mode of spread.92.25% of the study participants knew that elderly and people with comorbidities were more prone for coronavirus disease. 100% of the study participants knew that RT-PCR test has the diagnostic test for COVID-19. The entire study participants knew about non availability of a vaccine to prevent COVID-19 infection and some vaccines were in different stages of clinical trials.
Conclusion: The students of first year MBBS have good background knowledge and awareness about coronavirus disease which will help us to use them as the information providers to sensitize community people about various preventive measures one has to take to prevent the spread of COVID-19 pandemic.

Estimate Viral RNA Of Hepatitis C Of Β-Thalassemia Patients In Nineveh Province

Ali Adel Dawood; Asmaa Mohammed Khaleel; Ahmed Mohammed Hayawi

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 10, Pages 1-8

Hepatitis C infection is the main occasional agent of chronic liver disease and might lead to cirrhosis and hepatocellular carcinoma. β-thalassemia and hemodialysis patients are most susceptible to HCV as a result of the continuous blood transfusion. Aim of the study: This study aimed to estimate the quantitative of HCV-RNA in the serum of β- thalassemia patients in Nineveh province using RT-PCR in the GeneXpert system. Methods: We detected anti-HCV using ELISA. Determine the viral RNA using Xpert® HCV viral load technique. Result: The positive detection result of anti-HCV is 48 out of a total of 752 thalassemia patients. Only 12 out of 48 enrolled HCV Ct value with a rate of 1.59% of the total β- thalassemia patients. Conclusions: The prevalence of HCV in thalassemic patients in Nineveh province is less than those found in the other Iraqi provinces or adjacent countries. The routine using of immunobiological and biochemical tests for hepatic enzymes should be the routine pursuit in thalassemia and dialysis clinical centers.

Automatic Classification of the Severity of COVID-19 Patients Based on CT Scans and X-rays Using Deep Learning

Sara Bhatti; Dr. Asif Aziz; Dr. Naila Nadeem; Irfan Usmani; Prof. Dr. Muhammad Aamir; Dr. Irum Khan

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 10, Pages 1436-1455

The 2019 novel coronavirus (COVID-19), which originated from China, has been declared a pandemic by the World Health Organization (WHO) as it has surpassed over eighty three million cases worldwide, with nearly two million deaths. The unexpected exponential increase in positive cases and the limited number of ventilators, personal safety equipment and COVID-19 test kits, especially in Low to Middle Income Countries (LMIC), had put undue pressure on medical staff, first responders as well as the overall health care systems. The Real-Time Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR) test is the decisive test for the diagnosis of COVID-19, but a significant percentage of positive tests return a false negative result. For patients in LMICs, the availability and affordability of routine Computerized Tomography (CT) scanning and chest X-rays is better compared to an RT-PCR test, especially in rural areas. Chest X-rays and CT scans can aid in the prognosis and management of COVID-19 positive patients, but are not recommended for diagnostic purposes. Using Deep Convolutional Neural Networks (CNN), three network based pre-trained models (AlexNet, GoogleNet and Resnet50) were used for the automatic classification of positive COVID-19 chest X-Rays and CT scans based on their severity into three classes- normal, mild/moderate, severe. This classification can aid health care workers in performing expeditious analysis of large numbers of thoracic CT scans and chest X-rays of COVID-19 positive patients, and aid in their prognosis and management. The images were obtained from public repositories, and were verified and classified by trained and highly experienced radiologist from Agha Khan University Hospital prior to simulations. The images were augmented and trained, and ResNet50 was concluded to achieve the highest accuracy. This research can be used for other lung infections, and can aid the authorities in the preparations of future pandemics.

Genotype Variants Of Dengue Virus On Dengue Hemorrhagic Fever (Dhf) Suspect: Cross Sectional Study In Health Facilities In Semarang City, Indonesia

Martini Martini; Syahilla Efriana; Rini Fajarini; Ari Udiyono; Retno Hestiningsih; Atik Mawarni; Indranila Kustarini

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 8, Pages 730-740

Semarang has been reported as an endemic area of dengue hemorrhagic fever (DHF), yet continuous data of molecular epidemiology related to dengue fever is not available. The aim of this study was to analyze the characteristics of virus strains, host suspected dengue, and the dynamics of dengue fever in Semarang City. The design of this study was observational description with cross-sectional design. Seventy three DHF suspected patients from two hospitals and seven health centers in Semarang City were sampled during 2017- 2018. Reverse Transcription Polymerase Chain Reaction (RT-PCR) method was used to examine serum suspected dengue and sequence serotypes and genotypes of dengue virus. The results showed that the highest frequency to be exposed by DHF was infant and children; while, the number of male and female with suspected dengue was relatively the same. The dominant serotype was DENV-3, DENV-1, and mix of DENV-2 and DENV-3; while, the circulation of DENV-1 genotype I and DENV-3 genotype I were identified as Indonesian local endemic strain causing epidemics in Indonesia.