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iqjmc-1746
Clinical evaluation of selected Pharmacological Treatments used for Coronavirus (COVID-19) pandemic
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Background: Coronavirus is an enveloped RNA virus, from the genus Betacoronavirus, that is distributed in birds, humans, and other mammals. WHO has named the novel coronavirus disease as COVID-19.

Objective: We have conducted this review to focus on the studies that assessed the treatment efficacy and safety of Coronavirus (COVID-19) to describe its relation with the clinical outcomes of patients.

Method: PubMed, was searched for studies on the clinical evaluation of selected currently used treatments for COVID-19. we included six studies about therapeutic activity of chloroquine/hydroxychloroquine, two case series about oseltamivir and three studies about lopinavir/ritonavir

Results: some of studies have been demonstrated and approved for a wider use hydroxychloroquine for COVID-19, others concluded that there was insufficient evidence to offer any recommendation on the routine use of these drug in patients admitted to the intensive care unit (ICU). Other treatments have insufficient evidence to recommend the use (lopinavir-Ritonavir or oseltamivir) for COVID-19 outside of research studies.

Conclusion: In order to determine their efficacy and safety for COVID-19, more adequately powered randomized clinical trials are required. Ideally, these studies should be double-blinded and conducted in a range of settings.

 Keywords: Covid-19, hydroxychloroquine, Azithromycin, Oseltamivir, lopinavir-Ritonavir

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Publication Date
Sat Jan 01 2022
Journal Name
Annals Of Parasitology
Serum levels of C-reactive protein and ferritin in COVID-19 patients infected with Toxoplasma gondii
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During infection, T. gondii disseminates by the circulatory system and establishes chronic infection in several organs. Almost third of humans, immunosuppressed individuals such as HIV/AIDS patients, cancer patients, and organ transplant recipients are exposed to toxoplasmosis. Therefore, the study aimed to investigate the possibility that Toxoplasma infection could be a risk factor for COVID-19 patients and its possible correlation with C-reactive protein and ferritin. Overall 220 patients referred to the Al Furat General Hospital, Baghdad, Iraq were enrolled from 2020–2021. All serum samples were tested for T. gondii immunoglobulins (IgG and IgM) antibodies, C-reactive protein and ferritin levels. In patients with COVID-19, the results

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Publication Date
Tue Mar 01 2022
Journal Name
Process Safety And Environmental Protection
Safety and health management response to COVID-19 in the construction industry: A perspective of fieldworkers
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Publication Date
Tue Apr 13 2021
Journal Name
Latin American Journal Of Pharmacy
The Experience with Hospitalized COVID-19 Patients in Al-Basra, Iraq: Predictors of the disease severity
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SUMMARY. The objectives of the present study were to assess the possible predictors of COVID-19 severity and duration of hospitalization and to identify the possible correlation between patient parameters, disease severity and duration of hospitalization. The study included retrospective medical record extraction of previous coron avirus COVID-19 patients in Basra hospitals, Iraq from March 1st and May 31st, 2020. The information of the participants was investigated anonymously. All the patients’ characteristics, treatments, vital signs and laboratory tests (hematological, renal and liver function tests) were collected. The analysis was conducted using the SPSS (version 22, USA). Spearman correlation was used to measure the relations

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Publication Date
Tue Jan 30 2024
Journal Name
Iraqi Journal Of Science
Air Quality Analysis of the Capitol City in Developing Countries During COVID-19 Emergency Care Based on Internet of Things Data
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     This paper attempts to develop statistical modeling for air-conditioning analysis in Jakarta, Indonesia, during an emergency state of community activity restrictions enforcement (Emergency CARE), using a variety of parameters such as PM10, PM2.5, SO2, CO, O3, and NO2 from five IoT-based air monitoring systems. The parameters mentioned above are critical for assessing the air quality conditions and concentration of air pollutants.  Outdoor air pollution concentration variations before and after the Emergency CARE, which was held in Indonesia during the COVID-19 pandemic on July 3-21, 2021, were studied. An air quality monitoring system based on the IoT generates sensor data

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Publication Date
Mon Jan 28 2019
Journal Name
Iraqi Journal Of Science
Evaluation of Synergistic Effect of Nicotinic Acid with Imipenem as Antibiofilm for Clinical Pseudomonas Aeruginosa Isolates
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The present study aims to evaluate the synergistic activity of nicotinic acid (NIC) with the Imipenem (IMI) as an anti-biofilm for clinical isolated Pseudomonas aeruginosa. The values of minimum inhibitor concentration (MICs) for IMI and NIC (Separately) against P. aeruginosa were (16) ug/mL and (8) ug/ml respectively. Whereas, the concentration of NIC with IMI (as combined) for biofilm inhibition was  1 ug/ml for NIC and 4 ug/ml for IMI. The combining of NIC with IMI showed synergistic efficacy against formation of bacterial biofilm (at MIC levels). These     results provide a conclusion that NIC combined with IMI is can be considered as a successful prospective treatment against the biofilm pr

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Publication Date
Wed Jan 01 2020
Journal Name
Studies In Big Data
COVID-19 Diagnostics from the Chest X-Ray Image Using Corner-Based Weber Local Descriptor
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Corona Virus Disease-2019 (COVID-19) is a novel virus belongs to the corona virus's family. It spreads very quickly and causes many deaths around the world. The early diagnosis of the disease can help in providing the proper therapy and saving the humans' life. However, it founded that the diagnosis of chest radiography can give an indicator of coronavirus. Thus, a Corner-based Weber Local Descriptor (CWLD) for COVID-19 diagnostics based on chest X-Ray image analysis is presented in this article. The histogram of Weber differential excitation and gradient orientation of the local regions surrounding points of interest are proposed to represent the patterns of the chest X-Ray image. Support Vector Machine (SVM) and Deep Belief Network (DBN)

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Publication Date
Thu Oct 20 2022
Journal Name
Ibn Al-haitham Journal For Pure And Applied Sciences
Turbidity Changes in the Tigris River Using Satellite Data During the COVID-19 Related Lockdown
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In the present study, an attempt has been made to study the change in water quality of the river in terms of turbidity during lockdown associated with COVID-19. Iraq announced the longest-ever lockdown on 25 March 2020 due to COVID-19 pandemic. 

In the absence of ground observations, remote sensing data was adopted, especially during this period. The change in the visible region's spectral reflectance of water in part of the river has been analyzed using the Landsat 8 OLI multispectral remote sensing data at Tigris River, Salah al-Din province (Bayji / near the refinery), Iraq. It was found that the green and red bands are most sensitive and can be used to estimate turbidity. Furthermore, the temporal variation in turbidity was a

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Publication Date
Thu Mar 09 2023
Journal Name
Plos One
A cross-sectional analysis of the predictors of COVID-19 vaccine uptake and vaccine hesitancy in Iraq
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Background

Vaccine hesitancy poses a significant risk to global recovery from COVID-19. To date however, there is little research exploring the psychological factors associated with vaccine acceptability and hesitancy in Iraq.

Aim

To explore attitudes towards COVID-19 vaccination in Iraq. To establish the predictors of vaccine uptake and vaccine hesitancy in an Iraqi population.

Methods

Using a cross-sectional design, 7,778 participants completed an online questionnaire exploring their vaccination status, likelihood of infection, perc

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Publication Date
Fri Jan 01 2021
Journal Name
Artificial Intelligence For Covid-19
An Efficient Mixture of Deep and Machine Learning Models for COVID-19 and Tuberculosis Detection Using X-Ray Images in Resource Limited Settings
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Publication Date
Fri Feb 10 2012
Journal Name
Molecules
Design, Synthesis and Preliminary Pharmacological Evaluation of New Non-Steroidal Anti-Inflammatory Agents Having a 4-(Methylsulfonyl) Aniline Pharmacophore
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A series of 4-(methylsulfonyl)aniline derivatives were synthesized in order to obtain new compounds as a potential anti-inflammatory agents with expected selectivity against COX-2 enzyme. In vivo acute anti-inflammatory activity of the final compounds 11–14 was evaluated in rat using an egg-white induced edema model of inflammation in a dose equivalent to 3 mg/Kg of diclofenac sodium. All tested compounds produced significant reduction of paw edema with respect to the effect of propylene glycol 50% v/v (control group). Moreover, the activity of compounds 11 and 14 was significantly higher than that of diclofenac sodium (at 3 mg/Kg) in the 120–300 minute time interval, while compound 12 expressed a comparable effect to that of di

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