Health
A simulation of geographic distribution for the emergence of consequential SARS-CoV-2 variant lineages
Parums, D. V. Editorial: the 2022 World Health Organization (WHO) priority recommendations and response to the omicron variant (B.1.1.529) of SARS-CoV-2. Med. Sci. Monit. Int. Med. J. Exp. Clin. Res. 28, e936199–e993619. https://doi.org/10.12659/MSM.936199 (2022).
World Health Organization. WHO Coronavirus (COVID-19) Dashboard, https://covid19.who.int/ (2022)
Johns Hopkins University of Medicine, C. R. C. COVID-19 Dashboard, https://coronavirus.jhu.edu/map.html (2022)
Fontanet, A. et al. SARS-CoV-2 variants and ending the COVID-19 pandemic. Lancet (Lond. Engl.) 397, 952–954. https://doi.org/10.1016/S0140-6736(21)00370-6 (2021).
Petersen, E. et al. Emergence of new SARS-CoV-2 variant of concern omicron (B.1.1.529) – highlights Africa’s research capabilities, but exposes major knowledge gaps, inequities of vaccine distribution, inadequacies in global COVID-19 response and control efforts. Int. J. Infect. Dis. IJID Off. Publ. Int. Soc. Infect. Dis. 114, 268–272. https://doi.org/10.1016/j.ijid.2021.11.040 (2022).
Karim, S. S. A. & Karim, Q. A. Omicron SARS-CoV-2 variant: a new chapter in the COVID-19 pandemic. Lancet 398, 2126–2128. https://doi.org/10.1016/s0140-6736(21)02758-6 (2021).
Wu, F. et al. A new coronavirus associated with human respiratory disease in China. Nature 579, 265–269. https://doi.org/10.1038/s41586-020-2008-3 (2020).
Zhou, P. et al. A pneumonia outbreak associated with a new coronavirus of probable bat origin. Nature 579, 270–273. https://doi.org/10.1038/s41586-020-2012-7 (2020).
Sanjuán, R., Nebot, M. R., Chirico, N., Mansky, L. M. & Belshaw, R. Viral mutation rates. J. Virol. 84, 9733–9748. https://doi.org/10.1128/jvi.00694-10 (2010).
Ogando, N. S. et al. The enzymatic activity of the nsp14 exoribonuclease is critical for replication of MERS-CoV and SARS-CoV-2. J. Virol. 94, e01246-e11220. https://doi.org/10.1128/JVI.01246-20 (2020).
Sanjuán, R. & Domingo-Calap, P. Mechanisms of viral mutation. Cell. Mol. Life Sci. 73, 4433–4448. https://doi.org/10.1007/s00018-016-2299-6 (2016).
Duffy, S. Why are RNA virus mutation rates so damn high?. PLoS Biol. 16, e3000003. https://doi.org/10.1371/journal.pbio.3000003 (2018).
Khailany, R. A., Safdar, M. & Ozaslan, M. Genomic characterization of a novel SARS-CoV-2. Gene Rep. 19, 100682. https://doi.org/10.1016/j.genrep.2020.100682 (2020).
Korber, B. et al. Tracking changes in SARS-CoV-2 spike: Evidence that D614G increases infectivity of the COVID-19 virus. Cell 182, 812-827.e819. https://doi.org/10.1016/j.cell.2020.06.043 (2020).
Chen, J., Wang, R., Wang, M. & Wei, G. W. Mutations strengthened SARS-CoV-2 infectivity. J. Mol. Biol. 432, 5212–5226. https://doi.org/10.1016/j.jmb.2020.07.009 (2020).
Cosar, B. et al. SARS-CoV-2 mutations and their viral variants. Cytokine Growth Factor Rev. 63, 10–22. https://doi.org/10.1016/j.cytogfr.2021.06.001 (2022).
Lauring, A. S. & Hodcroft, E. B. Genetic variants of SARS-CoV-2-what do they mean?. JAMA 325, 529–531. https://doi.org/10.1001/jama.2020.27124 (2021).
Plante, J. A. et al. The variant gambit: COVID-19’s next move. Cell Host Microbe 29, 508–515. https://doi.org/10.1016/j.chom.2021.02.020 (2021).
Parums, V. Editorial: Revised world health organization (WHO) terminology for variants of concern and variants of interest of SARS-CoV-2. Med. Sci. Monit. 27, e933622. https://doi.org/10.12659/msm.933622 (2021).
World Health Organization. Tracking SARS-CoV-2 variants, <https://www.who.int/en/activities/tracking-SARS-CoV-2-variants/> (2022).
Otto, S. P. et al. The origins and potential future of SARS-CoV-2 variants of concern in the evolving COVID-19 pandemic. Curr. Biol. CB 31, R918–R929. https://doi.org/10.1016/j.cub.2021.06.049 (2021).
Wagner, C. E. et al. Vaccine nationalism and the dynamics and control of SARS-CoV-2. Science 373, eabj7364. https://doi.org/10.1126/science.abj7364 (2021).
Akaishi, T. Could the biogeographic background affect the emergence of SARS-CoV-2 variants?. J. Gen. Intern. Med. https://doi.org/10.1007/s11606-022-07632-z (2022).
Click, T. H., Liu, A. & Kaminski, G. A. Quality of random number generators significantly affects results of Monte Carlo simulations for organic and biological systems. J. Comput. Chem. 32, 513–524. https://doi.org/10.1002/jcc.21638 (2011).
Longini, I. M. A mathematical model for predicting the geographic spread of new infectious agents. Math. Biosci. 90, 367–383 (1988).
Fraser, C. Estimating individual and household reproduction numbers in an emerging epidemic. PLoS ONE 2, e758. https://doi.org/10.1371/journal.pone.0000758 (2007).
Carroll, W. D. et al. European and United Kingdom COVID-19 pandemic experience: The same but different. Paediatr. Respir. Rev. 35, 50–56. https://doi.org/10.1016/j.prrv.2020.06.012 (2020).
Pearce, N., Lawlor, D. A. & Brickley, E. B. Comparisons between countries are essential for the control of COVID-19. Int. J. Epidemiol. 49, 1059–1062. https://doi.org/10.1093/ije/dyaa108 (2020).
European Center for Disease Prevention and Control. SARS-CoV-2 variants of concern, <https://www.ecdc.europa.eu/en/covid-19/variants-concern> (2022).
Wink, P. L. et al. Genomic surveillance of SARS-CoV-2 lineages indicates early circulation of P.1 (Gamma) variant of concern in southern Brazil. Microbiol. Spectr. 10, e0151121–e0151121. https://doi.org/10.1128/spectrum.01511-21 (2022).
Fujino, T. et al. Novel SARS-CoV-2 variant in travelers from Brazil to Japan. Emerg. Infect. Dis. 27, 1243–1245. https://doi.org/10.3201/eid2704.210138 (2021).
Motayo, B. O. et al. Evolution and genetic diversity of SARS-CoV-2 in Africa using whole genome sequences. Int. J. Infect. Dis. IJID Off. Publ. Int. Soc. Infect. Dis. 103, 282–287. https://doi.org/10.1016/j.ijid.2020.11.190 (2021).
Hryhorowicz, S. et al. European context of the diversity and phylogenetic position of SARS-CoV-2 sequences from Polish COVID-19 patients. J. Appl. Genet. 62, 327–337. https://doi.org/10.1007/s13353-020-00603-2 (2021).
Worobey, M. et al. The emergence of SARS-CoV-2 in Europe and North America. Science 370, 564–570. https://doi.org/10.1126/science.abc8169 (2020).
Walker, A. et al. Genetic structure of SARS-CoV-2 reflects clonal superspreading and multiple independent introduction events, North-Rhine Westphalia, Germany, February and March 2020. Eurosurveillance https://doi.org/10.2807/1560-7917.Es.2020.25.22.2000746 (2020).
Jurak, I., Rukavina, T. & Vugrek, O. Successful sequencing of the first SARS-CoV-2 genomes from Croatian patients. Croat. Med. J. 61, 302–303. https://doi.org/10.3325/cmj.2020.61.302 (2020).
Obeid, D. A. et al. SARS-CoV-2 genetic diversity and variants of concern in Saudi Arabia. J. Infect. Dev. Ctries. 15, 1782–1791. https://doi.org/10.3855/jidc.15350 (2021).
Bindayna, K. M. & Crinion, S. Variant analysis of SARS-CoV-2 genomes in the Middle East. Microb. Pathog. 153, 104741–104741. https://doi.org/10.1016/j.micpath.2021.104741 (2021).
Clark, S. A. et al. SARS-CoV-2 evolution in an immunocompromised host reveals shared neutralization escape mechanisms. Cell 184, 2605-2617.e2618. https://doi.org/10.1016/j.cell.2021.03.027 (2021).
Leung, W. F. et al. COVID-19 in an immunocompromised host: persistent shedding of viable SARS-CoV-2 and emergence of multiple mutations: A case report. Int. J. Infect. Dis. 114, 178–182. https://doi.org/10.1016/j.ijid.2021.10.045 (2022).
Bashor, L. et al. SARS-CoV-2 evolution in animals suggests mechanisms for rapid variant selection. Proc. Natl. Acad. Sci. U.S.A. 118, e2105253118. https://doi.org/10.1073/pnas.2105253118 (2021).
Elaswad, A., Fawzy, M., Basiouni, S. & Shehata, A. A. Mutational spectra of SARS-CoV-2 isolated from animals. PeerJ 8, e10609–e10609. https://doi.org/10.7717/peerj.10609 (2020).
Blackburn, J. K., McNyset, K. M., Curtis, A. & Hugh-Jones, M. E. Modeling the geographic distribution of Bacillus anthracis, the causative agent of anthrax disease, for the contiguous United States using predictive ecological [corrected] niche modeling. Am. J. Trop. Med. Hyg. 77, 1103–1110 (2007).
Stern-Ginossar, N., Thompson, S. R., Mathews, M. B. & Mohr, I. Translational control in virus-infected cells. Cold Spring Harb. Perspect. Biol. https://doi.org/10.1101/cshperspect.a033001 (2019).
Gale, M. Jr., Tan, S. L. & Katze, M. G. Translational control of viral gene expression in eukaryotes. Microbiol. Mol. Biol. Rev. 64, 239–280. https://doi.org/10.1128/mmbr.64.2.239-280.2000 (2000).
Sources 2/ https://www.nature.com/articles/s41598-022-14308-5 The mention sources can contact us to remove/changing this article |
What Are The Main Benefits Of Comparing Car Insurance Quotes Online
LOS ANGELES, CA / ACCESSWIRE / June 24, 2020, / Compare-autoinsurance.Org has launched a new blog post that presents the main benefits of comparing multiple car insurance quotes. For more info and free online quotes, please visit https://compare-autoinsurance.Org/the-advantages-of-comparing-prices-with-car-insurance-quotes-online/ The modern society has numerous technological advantages. One important advantage is the speed at which information is sent and received. With the help of the internet, the shopping habits of many persons have drastically changed. The car insurance industry hasn't remained untouched by these changes. On the internet, drivers can compare insurance prices and find out which sellers have the best offers. View photos The advantages of comparing online car insurance quotes are the following: Online quotes can be obtained from anywhere and at any time. Unlike physical insurance agencies, websites don't have a specific schedule and they are available at any time. Drivers that have busy working schedules, can compare quotes from anywhere and at any time, even at midnight. Multiple choices. Almost all insurance providers, no matter if they are well-known brands or just local insurers, have an online presence. Online quotes will allow policyholders the chance to discover multiple insurance companies and check their prices. Drivers are no longer required to get quotes from just a few known insurance companies. Also, local and regional insurers can provide lower insurance rates for the same services. Accurate insurance estimates. Online quotes can only be accurate if the customers provide accurate and real info about their car models and driving history. Lying about past driving incidents can make the price estimates to be lower, but when dealing with an insurance company lying to them is useless. Usually, insurance companies will do research about a potential customer before granting him coverage. Online quotes can be sorted easily. Although drivers are recommended to not choose a policy just based on its price, drivers can easily sort quotes by insurance price. Using brokerage websites will allow drivers to get quotes from multiple insurers, thus making the comparison faster and easier. For additional info, money-saving tips, and free car insurance quotes, visit https://compare-autoinsurance.Org/ Compare-autoinsurance.Org is an online provider of life, home, health, and auto insurance quotes. This website is unique because it does not simply stick to one kind of insurance provider, but brings the clients the best deals from many different online insurance carriers. In this way, clients have access to offers from multiple carriers all in one place: this website. On this site, customers have access to quotes for insurance plans from various agencies, such as local or nationwide agencies, brand names insurance companies, etc. "Online quotes can easily help drivers obtain better car insurance deals. All they have to do is to complete an online form with accurate and real info, then compare prices", said Russell Rabichev, Marketing Director of Internet Marketing Company. CONTACT: Company Name: Internet Marketing CompanyPerson for contact Name: Gurgu CPhone Number: (818) 359-3898Email: [email protected]: https://compare-autoinsurance.Org/ SOURCE: Compare-autoinsurance.Org View source version on accesswire.Com:https://www.Accesswire.Com/595055/What-Are-The-Main-Benefits-Of-Comparing-Car-Insurance-Quotes-Online View photos
to request, modification Contact us at Here or [email protected]