COVID-19 Detection using adopted convolutional neural networks and high-performance computing.

The COVID 19 pandemic is highly contagious disease is wreaking havoc on people's health and well-being around the world. Radiological imaging with chest radiography is one among the key screening procedure. This disease contaminates the respiratory system and impacts the alveoli, which are small air sacs in the lungs. Several artificial intelligence (AI)-based method to detect COVID-19 have been introduced. The recognition of disease patients using features and variation in chest radiography images was demonstrated using this model. In proposed paper presents a model, a deep convolutional neural network (CNN) with ResNet50 configuration, that really is freely-available and accessible to the common people for detecting this infection from chest radiography scans. The introduced model is capable of recognizing coronavirus diseases from CT scan images that identifies the real time condition of covid-19 patients. Furthermore, the database is capable of tracking detected patients and maintaining their database for increasing accuracy of the training model. The proposed model gives approximately 97% accuracy in determining the above-mentioned results related to covid-19 disease by employing the combination of adopted-CNN and ResNet50 algorithms.

Seroepidemiological and genomic investigation of SARS-CoV-2 spread in North East region of India.

PURPOSE: Seroepidemiology and genomic surveillance are valuable tools to investigate infection transmission during a pandemic. North East (NE) India is a strategically important region being the gateway connecting the country with Southeast Asia. Here, we examined the spread of SARS-CoV-2 in NE India during the first and second waves of COVID-19 using serological and whole genome sequencing approaches. METHODS: qRT-PCR analysis was performed on a selected population (n â€‹= â€‹16,295) from June 2020 to July 2021, and metadata was collected. Immunoassays were studied (n â€‹= â€‹2026) at three-time points (August 2020, February 2021, and June 2021) and in a cohort (n â€‹= â€‹35) for a year. SARS-CoV-2 whole genomes (n â€‹= â€‹914) were sequenced and analyzed with those obtained from the databases. RESULTS: Test positivity rates (TPR) in the first and second waves were 6.34% and 6.64% in Assam, respectively, and a similar pattern was observed in other NE states. Seropositivity in the three time points was 10.63%, 40.3%, and 46.33%, respectively, and neutralizing antibody prevalence was 90.91%, 52.14%, and 69.30%, respectively. Persistence of pan-IgG-N SARS-CoV-2 antibody for over a year was observed among three subjects in the cohort group. Normal variants dominated the first wave, while B.1.617.2 and AY-sublineages dominated the second wave in the region. The prevalence of the variants co-related well with high TPR and seropositivity rate in the region and identified mostly among vaccinated individuals. CONCLUSION: The COVID-19 first wave in the region witnessed low transmission with the evolution of diverse variants. Seropositivity increased during the study period with over half of the individuals carrying neutralizing antibodies against SARS-CoV-2. High infection and seroprevalence in NE India during the second wave were associated with the dominant emergence of variants of concern.

Geospatial Technology-Based Analysis of Air Quality in India during the COVID-19 Pandemic

The study evaluates the impacts of India's COVID-19 lockdown and unlocking periods on the country's ambient air quality. India experienced three strictly enforced lockdowns followed by unlocking periods where economic and social restrictions were gradually lifted. We have examined the in situ and satellite data of NO2 emissions for several Indian cities to assess the impacts of the lockdowns in India. Additionally, we analyzed NO2 data acquired from the Sentinel-5P TROPOMI sensor over a few districts of the Punjab state, as well as the National Capital Region. The comparisons between the in situ and satellite NO2 emissions were performed for the years 2019, 2020 and up to July 2021. Further analysis was conducted on the satellite data to map the NO2 emissions over India during March to July for the years of 2019, 2020 and 2021. Based on the in situ and satellite observations, we observed that the NO2 emissions significantly decreased by 45–55% in the first wave and 30% in the second wave, especially over the Northern Indian cities during the lockdown periods. The improved air quality over India is indicative of reduced pollution in the atmosphere due to the lockdown process, which slowed down the industrial and commercial activities, including the migration of humans from one place to another. Overall, the present study contributes to the understanding of the trends of the ambient air quality over large geographical areas using the Sentinel-5P satellite data and provides valuable information for regulatory bodies to design a better decision support system to improve air quality. [ FROM AUTHOR] Copyright of Remote Sensing is the property of MDPI and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

Recurrent arteriovenous graft thrombosis in COVID-19 positive patient.

Hypercoagulability is one of the common complications seen in COVID-19. It can lead to multiple thromboembolic complications. Recurrent arteriovenous graft thrombosis can be one of complications from this pathophysiology.

Implementation of an Elastomeric Mask Program as a Strategy to Eliminate Disposable N95 Mask Use and Resterilization: Results from a Large Academic Medical Center.

BACKGROUND: The COVD-19 global pandemic has placed a large demand on personal protective equipment for healthcare workers. N-95 respirators, required to perform aerosolizing procedures, are in short supply and have increased significantly in cost. The lack of a clear end to the pandemic requires hospitals to create a long-term, cost effective solution to the N95 shortage. We initially used previously described methods to reuse and resterilize N95 masks; however, we found they did not solve the issues related to just-in-time fit-testing and cost. STUDY DESIGN: We initiated a program with the aim to reduce our dependence on N95 masks by initiating a phased program to acquire industrial style elastomeric P100 masks as a substitute for reuse and resterilization of disposable N95s. We created an allocation strategy based on availability of the masks, as well as an operational plan to fit test, educate, and disinfect the masks. RESULTS: Within 1 month, we were able to reduce the number of N95s needed by our network by 95%. We also found that the cost was, conservatively, 10 times less per month than purchasing disposable N95s, and the cost benefit increases the longer they are needed. CONCLUSIONS: Establishment of an elastomeric mask program is feasible and less expensive than programs focused on reusing and disinfecting disposable N95 masks. A well thought out elastomeric distribution and disinfection program does not pose greater operational challenges than an N95 reuse and resterilization program. In addition, elastomeric masks can be stored for future surges and should be considered an essential part of all healthcare facilities' supply of personal protective equipment. Implementation of the program has eliminated our dependence on disposable N95s to maintain normal operations during the global pandemic.

Impact of COVID-19 pandemic on maternal and child health services in Uttar Pradesh, India.

BACKGROUND: In the wake of the Covid-19 Pandemic, parts of the public health system at increased risk of reduced efficiency include healthcare services for women and children. This in turn could reverse all the progress achieved over the years in reducing maternal and child mortality. In this study, an attempt has been made to assess the indirect effect of the pandemic on maternal and child health services in public health facilities. METHODS: Data pertaining to maternal and child health services being provided under specific Government programmes, were collected from public health facilities of District Sant Kabir Nagar in Uttar Pradesh, India. Comparative analysis of the data from the pandemic phase with data from the year 2019 was done to determine the impact on services. RESULTS: Reduced coverage across all maternal and child health interventions was observed in the study. There was an overall decrease of 2.26 % in number of institutional deliveries. Antenatal care services were the worst affected with 22.91% decline. Immunization services were also dramatically decreased by more than 20%. CONCLUSION: The response of the public healthcare delivery system to the Covid-19 Pandemic is negatively affecting both the provision and utilization of maternal and child healthcare services. It is deterrent to the progress achieved in maternal and child health parameters over the years. Better response strategies should be put in place to minimize lag in service deliwvery.

EGCG, a Green Tea Catechin, as a Potential Therapeutic Agent for Symptomatic and Asymptomatic SARS-CoV-2 Infection.

Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has emerged to be the greatest threat to humanity in the modern world and has claimed nearly 2.2 million lives worldwide. The United States alone accounts for more than one fourth of 100 million COVID-19 cases across the globe. Although vaccination against SARS-CoV-2 has begun, its efficacy in preventing a new or repeat COVID-19 infection in immunized individuals is yet to be determined. Calls for repurposing of existing, approved, drugs that target the inflammatory condition in COVID-19 are growing. Our initial gene ontology analysis predicts a similarity between SARS-CoV-2 induced inflammatory and immune dysregulation and the pathophysiology of rheumatoid arthritis. Interestingly, many of the drugs related to rheumatoid arthritis have been found to be lifesaving and contribute to lower COVID-19 morbidity. We also performed in silico investigation of binding of epigallocatechin gallate (EGCG), a well-known catechin, and other catechins on viral proteins and identified papain-like protease protein (PLPro) as a binding partner. Catechins bind to the S1 ubiquitin-binding site of PLPro, which might inhibit its protease function and abrogate SARS-CoV-2 inhibitory function on ubiquitin proteasome system and interferon stimulated gene system. In the realms of addressing inflammation and how to effectively target SARS-CoV-2 mediated respiratory distress syndrome, we review in this article the available knowledge on the strategic placement of EGCG in curbing inflammatory signals and how it may serve as a broad spectrum therapeutic in asymptomatic and symptomatic COVID-19 patients.

COVID-19 driven changes in the air quality; a study of major cities in the Indian state of Uttar Pradesh.

Amid the COVID-19 pandemic, there has been an unprecedented cessation of outdoor anthropogenic activities leading to a significant improvement of the environment across the world. However, the positive impacts on the environment are not expected to last long as countries have started to gradually come out of lockdown and engage in aggressive measures to regain the pre-COVID-19 levels of economic activity. The present study provides for an assessment of air quality changes during the period of lockdown and unlocking across 9 major cities in the Indian state of Uttar Pradesh, including three cities (Ghaziabad, Noida, and Greater Noida) in the national capital region, which have frequently been included among the most polluted cities in the world. The pollutant load in a vertical column of air during March-July 2020 has been analyzed and compared with the corresponding period's pollution load in 2019. In addition, a detailed analysis of the ground-level changes in pollution load for Ghaziabad, Noida, and Greater Noida is also presented, along with the changes in local meteorology. A significant reduction in the total column density of NO2, CO and ground-level pollution load of PM10, PM2.5, NO2, and SO2 have been observed. In contrast, an increase in total column density of SO2 across all the cities (except Kanpur) and ground-level concentration of CO (in Noida and Greater Noida) and O3 (in Noida) was evident. The improvement in air quality (with respect to particulate matter) can primarily be attributed to the restrictions on construction and demolition activities, reduced re-suspension of roadside dust, and the restrictions on the movement of vehicles. A significant decline in the average summer temperature was recorded, and it can plausibly be attributed to lower radiative forcing due to reduced pollutant load in the atmosphere.

Sister Robots - food and medicine carriers

Sister Robots - ‘Food and Medicine Carrier Robot’ are manually controlled robots which can be used in Corona Testing Hospital where health representatives or medical professionals need to carry food and medicine from the kitchen of the hospital to the patient isolation room. Robotics Association of Nepal [RAN] along with Team Robonauts, Team Kantibir and Team Oztec have developed the different versions of Sister Robots. The first version of the Robot - Sister V.1 is now working at the provincial hospital of Province no. 3, Hetauda Hospital. The Robot was built in support of Nepal Engineers’ Association [NEA] and handed over to Honorable Chief Minister, Province No.3 Dormani Poudel. Sister V.1 can help frontline health professionals communicate with COVID-19 suspected/infected patients in the isolation room, deliver essential foods and medicines as well. Sister V.1 took 20 days for its completion. The development team further developed second version of Sister Robot [Sister V.2]. First piece of Sister V.2 has been completed and 5 more are on the verge of development. Armed Police Force [APF] Hospital has made a trial of Sister V.2. Sister V.2 has been upgraded with a double 12V 8000MAH battery system for higher power performance, dual FPV camera system for Top 90 degree rotation back view and Front 180 degree bottom view. Food and Medicine can be easily delivered and COVID-19 can sanitize their hands with automatic sanitizer as well. Phase 1 product development has been completed and Phase 2 small scale production is currently running. The phases are defined based on the upgrade of the Robots as the team believes in iteration of the robot and customization as well. Mass scale production of Sister Robots on phase 3 Version 3 [Sister V.3] will consist of different lines of Robots with different specifications. More cost effective technologies will be introduced and automation will be a priority of Robot development. Research Center for Applied Science and Technology (RECAST) and Sagarmatha Engineering College collaborated with RAN for 6 more robots to develop financially. Phase 3 focuses in bringing Sister V.3 at each and every hospital in Nepal through collaborative partnerships and safety campaigns.

Institutional COVID-19 Protocols: Focused on Preparation, Safety, and Care Consolidation.

As the confirmed cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continue to grow with over 1 million documented infections in the United States alone, researchers and health care workers race to find effective treatment options for this potentially fatal disease. Mortality remains high in patients whose disease course requires mechanical ventilation and admission to intensive care units. While focusing on therapies to decrease mortality is essential, we must also consider the logistical hurdles faced with regard to safely and effectively delivering treatment while limiting the risk of harm to hospital staff and other noninfected patients. In this article, we discuss aspects of surge planning, considerations in limiting health care worker exposure, the logistics of medication delivery in a uniform and consolidated manner, protocols for delivering emergent care in a rapidly deteriorating coronavirus disease-2019 (COVID-19) patient, and safe practices for transporting infected patients.