ABSTRACT
The importance of electronic systems has increased due to COVID-19 because of the mobility constraints which stimulates businesses to look for remote work supporting systems. So, businesses either rapidly adopted off-the shelf software or demanded the development of new software solutions. This causes usability concerns including new difficulties to businesses because of the low usability of the off-the shelf systems that were not designed to address the challenges during the pandemic. Also, the development of new software usually requires much time and may not produce usable software if all requirements are not sufficiently addressed. Furthermore, the factors affecting usability after the COVID-19 have not been identified in related studies. Therefore, this research empirically investigates the usability of software by developing a mobile accounting system and conducting qualitative analyses to evaluate the system and identify the usability factors in the post COVID-19 era. This research contributes the Rapid Application Participatory Development (RAPD) method which is used to develop the system because this method enables rapid development, sufficient requirements elicitation by allowing users to participate in the design process, and usability testing during the development. The results show that the RAPD method can be used to develop usable software and mobile applications. Also, in addition to the traditional usability factors, COVID-19 has created new usability factors including remote work, user experience, security, privacy, artificial intelligence and internet speed. © 2023 Little Lion Scientific.
ABSTRACT
Hydroxychloroquine is one of the oldest and widely used anti-malarial drug which can be beard easily with cost and well leeway, also these drugs have been greet to have efficacy in autoimmune-related diseases like rheumatoid arthritis and systemic lupus erythematosus. Hydroxychloroquine is known to be a disease-modifying antirheumatic drug, for this, it has been approved firstly in the year 1955 by the United state of food and drug administration. Hydroxychloroquine and chloroquine are recently shown several activities like glucose-lowering effects along with prophylactic use, Dyslipidemia, anticancer, anti-platelet, antithrombotic, antiviral, endothelial dysfunction. Because of the recent outbreak of world has diverted towards these molecules and initiated global clinical trials on Chloroquine and Hydroxychloroquine. So this article focused on the multifaceted effect of Hydroxychloroquine and chloroquine mainly concerning corona. Considering the anti-hyperglycemic potential, anti-inflammatory activity and, pleiotropic effects such as lipid-lowering action, anti-platelet action, antithrombotic action, endothelial dysfunctioning, orbital sarcoidosis, and nephroprotective action, HCQ may emerge as a cost-effective therapeutic option for uncontrolled diabetes patients in alone therapy or combinations. Chloroquine and Hydroxychloroquine have been proved its efficacy towards the recent spread of pandemic disease novel coronavirus. © 2020 MEDIC SCIENTIFIC.
ABSTRACT
Novel corona 2019 further named, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the outbreak has started from Wuhan city of china in December 2019 and within short spam, its spread in almost 200 countries, and hence world health organization declared it a pandemic emergency. At present no licensed therapy presents or vaccine or effective agents available in the management of COVID-19. The severity of this virus can be categorized into three phases initial mild symptomatic phase, respiratory infection phase, and Cytokinine storm phase. The initial mild symptomatic phase can be identified by a cough, fever, severe diarrhea, tastelessness, etc. In some clinical trials, these symptoms are treated with traditional therapy such as azithromycin, lopinavir, etc. But if not treated, it leads to pneumonia, responsible for the shortening of breathing but apart from this currently available data has shown a correlation between proinflammatory factors like interleukin and COVID 19 infections. Tocilizumab, USFDA approved in the treatment of Chimeric antigen receptors T cell therapy and now shown effectiveness in COVID-19 especially against cytokine release syndrome and lowered the mortality rate, however outcome of ongoing clinical trials will prove its confirmatory treatment against COVID-19. For such severe pandemic disease, other promising agents like Remdesivir or Tocilizumab that's giving a really high recovery rate with reduced mortality rates in severe condition of COVID-19. Because of the severity and mortality rate from COVID-19, the globe needs promising, efficient treatment, sharing early discharge of patients, and reduced mortality which can be expected from Tocilizumab or Remdesivir in near future. © 2020 MEDIC SCIENTIFIC.
ABSTRACT
The global Covid-19 pandemic has been a considerable concern worldwide. In Surabaya city, the government has taken particular measures to establish appropriate policies to overcome the Covid-19 pandemic. However, there has been no precise measure to verify the effectiveness of the policy in the future. This research aims to evaluate the Surabaya Government policy scenario using a dynamic system-based simulation with Vensim Ventana software the initial model was designed with adopting the Covid-19 model made by Tom Fiddaman, Ventana System in 2020 adjusted to real conditions in Surabaya the simulation results obtained from the initial validated model estimate that the Covid-19 pandemic would end on May 5, 2021, with total infected 15,876 people the model was then developed by simulating several policy scenarios: herd immunity, convalescent plasma therapy, and swab test to predict policy's impact the best-case scenario is gained by combining the convalescent plasma therapy policy and increasing the number of swab tests at Labkesda to 4,000 samples per day the simulation results' prediction shows the pandemic will end 52 days earlier, with the percentage of the infected population 23.77% smaller than the initial model. It can be concluded that the government's strategy of collaborating the two policies is effective to overcome the pandemic in Surabaya. Nevertheless, the implementation of policies to overcome this pandemic success with contributions from all elements of society. © 2021 IEEE.
ABSTRACT
The prediction of diseases caused by viral infections is a complex medical task where many real data that consists of different variables must be employed. As known, COVID-19 is the most dangerous disease worldwide;nowhere, an effective drug has been found yet. To limit its spread, it is essential to find a rational method that shows the spread of this virus by relying on many infected people's data. A model consisting of three artificial neural networks' (ANN) functions was developed to predict COVID-19 separation in Iraq based on real infection data supplied by the public health department at the Iraqi Ministry of Health. The performance efficiency of this model was evaluated, where its performance efficiency reached 81.6% when employed four statistical error criteria as mean absolute percentage error (MAPE), root mean square error (RMSE), coefficient of determination (R-2), and Nash-Sutcliffe coefficient (NC). The severity of the virus's spread across Iraq was assessed in a short term (in the next 6 months), where the results show that the spread severity will intensify in this short term by 17.1%, and the average death cases will increase by 8.3%. These results clarified by creating spatial distribution maps for virus spread are simulated by employing a Geographic Information System (GIS) environment to be used as a useful database for developing plans for combating viruses in Iraq.