RESUMEN
The region of the Middle East and North Africa (MENA) is diverse and retains a superior growth potential. It benefits from a privileged geographical location with big markets, a young and growing educated population, and competitive advantages in several industries. Regardless of their differences, countries face shared concerns, most notably in health. In response to the COVID-19 pandemic, MENA countries enact reforms to create a more robust and inclusive digital health systems to increase growth, development, and integrity. Throughout the coordinated containment and mitigation efforts, most of the countries have integrated digital technologies into the health systems. These procedures include digital government initiatives, the introduction of digital health training courses, live video surgeries and virtual patient monitoring, rural and remote telemedicine programs, and the development of a national electronic health records (EHR) system. Each country took necessary actions to address equity, literacy, and development of resilient health systems. The nine featured countries in this report illustrate the diversity among the MENA region and account for major opportunities and achievements as well as promises and challenges that digital health presents for its populations. © 2022 IMIA and Georg Thieme Verlag KG.
RESUMEN
The present article deals with a COVID-19 propagation system. A new compartmental model is established. Migration is allowed into the population. We establish the basic reproduction number and proof that it is an increasing function of migration rates. The final size relation has been determined in the case of closed population. Moroccan data are used in order to compute the parameters of the proposed model. Principal epidemiological results have been compared in the presence and absence of migration using a simulation algorithm based on the dynamical systems approach on the one hand, and the multi-agent approach on the other hand. Both approaches have been implemented using NetLogo. The study, under the two approaches, has proven that migration causes a diminution of the timing of the general infection and the symptomatic peaks. It causes also an augmentation in the maximum values of the general infection and the symptomatic prevalences. The model provides a quantitative illustration of migration influence on disease spread in populations and proposes a practical hybrid framework that will be useful in analyzing and controlling many case studies of COVID-19 spread. © 2021 Little Lion Scientific.
RESUMEN
The ring-opening reaction of epoxides 1b and 1c utilizing LiAlH4, have been studied within the Molecular Electron Density Theory (MEDT) at the B3LYP/6-31(d) computational level. The regioisomeric reaction paths including the two oxiranes cycles of epoxides 1b and 1c have been explored. DFT calculations show that the attack of the hydride ion H− is favorable on the carbon C3 for the epoxide 1b, while this action is realized on carbon C2 for the epoxide 1c in the highest conformity with the experimental outcomes. Furthermore, we have operated a docking calculation to examine the antibacterial activities of the products 1a-1f, further more we have performed a docking calculation to scrutinize the products 1-9 against SARS-CoV-2. Indeed, the docking results showed that α-himachalene (2) possess a higher affinity to the main protease.