A Multiobjective Optimization Model for Prevention and Control of Coronavirus Disease 2019 in China

It is a global issue to set up a practical, sensitive, and useful model to eradicate or mitigate the coronavirus disease 2019 (COVID-19). Taking Central China’s Hubei Province for example, three models were established. Firstly, a susceptible-probable-infectious-recovered (SPIR) model was proposed to predict the monthly number of confirmed and susceptible cases in each city. Next, an epidemic prefecture clustering model was set up to find proper vaccine delivery sites, according to the distance of each city. Finally, a dynamic material delivery optimization model was established for multiple epidemic prefectures, aiming to speed up vaccine production and storage in each delivery site.

Socialism Against the Siege

Despite Cuba's advantages—due to its free, universal public health system and its capacity for rapid scientific development, which put us at the forefront in research and vaccine production globally—we were unable to escape the pandemic's blows.

COVID-19 and Politics of Representation: A CSA of Pakistani Print Media Semiotic Discourses

Print media discourses are highly polarized. Different linguistic and meta-linguistic moves are employed to represent the same issue under different socio-political themes. This study decodes the semiotic discourses of two (02) Pakistani English and Urdu newspapers (Dawn & Jang) about the representation of COVID-19 related issues. This has been done to broaden the canvas of the research by including English and Urdu newspapers’ readership. The time span for data collection ranges from March 15, 2020, to May 15, 2020. The integrated research approach used in the study has been devised by drawing upon Kress (2010) and Krueger (2001) to analyze the data at linguistic and semiotic levels. The findings of semiotic analysis have been validated through focus group discussions on the selected cartoons from English and Urdu newspapers. The findings of the research reveal that the representation of COVID- 19 related issues varies in English and Urdu newspapers. The most frequently occurred themes in English newspapers about the representation of covid19 related issues include economic downfall, danger to the worlds’ economy, the clash between America and China, delays in vaccine production, and food and health insecurity at national and international levels. On contrary, the Urdu newspapers highlighted the issues related to corruption, the oil crisis, a satire on the general masses for not observing SOPs, a satire on health ministry, and poverty increase because of lockdown policies. The research contends that semiotic discourses are the best sites for ideological investment and are designed keeping in view the target audience.

Interferon Inhibition Enhances the Pilot-Scale Production of Rabies Virus in Human Diploid MRC-5 Cells

Inactivated vaccines based on cell culture are very useful in the prevention and control of many diseases. The most popular strategy for the production of inactivated vaccines is based on monkey-derived Vero cells, which results in high productivity of the virus but has a certain carcinogenic risk due to non-human DNA contamination. Since human diploid cells, such as MRC-5 cells, can produce a safer vaccine, efforts to develop a strategy for inactivated vaccine production using these cells have been investigated using MRC-5 cells. However, most viruses do not replicate efficiently in MRC-5 cells. In this study, we found that rabies virus (RABV) infection activated a robust interferon (IFN)-β response in MRC-5 cells but almost none in Vero cells, suggesting that the IFN response could be a key limiting factor for virus production. Treatment of the MRC-5 cells with IFN inhibitors increased RABV titers by 10-fold. Additionally, the RABV titer yield was improved five-fold when using IFN receptor 1 (IFNAR1) antibodies. As such, we established a stable IFNAR1-deficient MRC-5 cell line (MRC-5IFNAR1−), which increased RABV production by 6.5-fold compared to normal MRC-5 cells. Furthermore, in a pilot-scale production in 1500 square centimeter spinner flasks, utilization of the MRC-5IFNAR1− cell line or the addition of IFN inhibitors to MRC cells increased RABV production by 10-fold or four-fold, respectively. Thus, we successfully established a human diploid cell-based pilot scale virus production platform via inhibition of IFN response for rabies vaccines, which could also be used for other inactivated virus vaccine production.

Designing multi-epitope based peptide vaccine targeting spike protein SARS-CoV-2 B1.1.529 (Omicron) variant using computational approaches.

Since the SARS-CoV-2 outbreak in 2019, millions of people have been infected with the virus, and due to its high human-to-human transmission rate, there is a need for a vaccine to protect people. Although some vaccines are in use, due to the high mutation rate in the SARS-CoV-2 multiple variants, the current vaccines may not be sufficient to immunize people against new variant threats. One of the emerging variants of concern is B1.1.529 (Omicron), which carries ~30 mutations in the Spike protein of SARS-CoV-2 is predicted to evade antibodies recognition even from vaccinated people. We used a structure-based approach along with an epitope prediction server to develop a Multi-Epitope based Subunit Vaccine (MESV) involving SARS-CoV-2 B1.1.529 variant spike glycoprotein. The predicted epitope with better antigenicity and non-toxicity were used for designing and predicting vaccine construct features and structure models. The MESV construct In-silico cloning in pET28a expression vector predicted the construct to be highly translational. The proposed MESV vaccine construct was also subjected to immune simulation prediction and was found to be highly antigenic and elicit a cell-mediated immune response. The proposed MESV in the present study has the potential to be evaluated further for vaccine production against the newly identified B1.1.529 (Omicron) variant of concern.

The Role of the WTO in the Global Response to the COVID-19 Pandemic

The WTO and international trade have proven more important than ever during the COVID-19 pandemic. Indeed, without the delivery of food, medicines, masks and vaccines through commerce, the pandemic could not be contained. The WTO basic principles - transparency, non-discrimination, the prohibition against border restrictions, disciplines on subsidies to industrial and agriculture products, to name a few, and in particular the WTO monitoring system have helped countries collaborating and coordinating their actions to contain the pandemic and mitigate trade and global supply chain disruptions on essential goods. In addition, during this crisis, the WTO Secretariat and its Director-General assumed enhanced responsibilities to assist Members with their extraordinary needs. The WTO became the global forum for Members’ coordination of border and internal trade-related actions, for the debate on intellectual property and the request for waiving patent protections on vaccines, while playing an active role in stimulating the expansion of vaccine production capacity in developing countries. This article contends that the response of the WTO has augmented and legitimatized its role as a global governance forum.

In Silico study of Wheatgrass constituents against Coronavirus COVID-19 Proteins.

As a result of COVID-19, the coronavirus associated with SARS-CoV-2 has emerged as the most lethal and infectious pandemic in history. Vaccines alone cannot assure us of a healthy future. As a result, drug production must go hand in hand with vaccine production. The purpose of this study is to evaluate the therapeutic potential of certain chemical constituents of Wheatgrass (Triticum aestivum Linn.,) that may be useful for treatment of COVID19. Seven chemical constituents of Wheatgrass, including Ascobic acid (SWA00A), Rutin (SWA00B), Ferulic acid (SWA00C), quercetin (SWA00D), Luteolin (SWA00E), Apigenin (SWA00F), and Kaempferol (SWA00G), were used for virtual screening. Covid19 viral proteins such as 6lu7-SARS-CoV2 main protease, 6zsl-SARS-CoV-2 helicase, 6w9c-papain-like protease of SARS-CoV-2, and 6m71-RNA-dependent RNA polymerase were selected for study. Drugs used in the treatment of COVID-19 namely Remdesivir, Darunavir, Ralimetinib, Berzosertib, Alpha-interferon, Arabinol, Chloroquine phosphate, Indinavir, Lopinavir, Ritonavir, Plegylated alfa interferon, 2-chloro-2-deoxy-D-glucose are taken as standards. Molecular docking was performed using the PyRx Virtual Screening tool. Among all 7 chemical components, Rutin (SWA00B) had the strongest binding affinity. According to the present study, Rutin present in Wheatgrass shows the highest potential to inhibit SARS-CoV-2 proteins. Wheatgrass has promising anti-SARS-CoV-2 properties, but further research is needed to prove their efficacy in vivo.