Реферат
Worldwide concern about the novel coronavirus (2019-nCoV) as a global threat to public health is the reason for the exponential growth of phylogenetic analyses. The purpose of this review was to describe the mode of operation and advantages of the tool Nextstrain, as well as the sequencing of the SARS-CoV-2 virus worldwide. The interface of the Nextstrain page was used to show its functions and data visualization modes. These were downloaded from the website GISAID to show the number of SARS-CoV-2 sequencing processes performed so far. Nextstrain is an open code project created by bioinformatics biologists to make good use of the scientific and public health potential of data about genomes of pathogens. Nextstrain consists in a set of tools operating with unprocessed sequences (in FASTA format). Nextstrain performs a sequence alignment of the input data into a multiple sequence alignment based on fast Fourier transform. Its use is based on two software applications: Augur and Auspice. Nextstrain is an efficient tool by which lay people may obtain epidemiological data in a simple manner. It may be used in the public health sector, since it shows real time data about epidemics and their geographic distribution. It may also be used to follow-up outbreaks, as is the case with COVID-19. © 2021, Centro Nacional de Informacion de Ciencias Medicas. All rights reserved.
Реферат
Introduction: The epidemic that had its beginning in the city of Wuhan in December 2019, has become a public health problem that is advancing at dizzying steps. Objective: To determine the clinical and epidemiological profile in Covid-19 patients attended at the HASA-I - Utcubamba, 2020. Methods: The type of research was observational, descriptive and retrospective cross-sectional. The population consisted of 312 patients from which a sample of 173 patients was extracted that met the conditions of being representative and adequate. All data processing and statistical calculations were performed using Microsoft Excel 2019 software. Results: Regarding the results, it was determined that the epidemiological profile: male gender a total of 102 and female gender 71, representing 59,0% and 41,0% respectively;average age of 45 years;most affected place of origin, the city of Bagua Grande, with a frequency of 162, which represents 93,6%. Regarding the clinical profile: diabetes mellitus presented a total of 7 cases, representing 4,1%;cardiovascular diseases with a frequency of 6, representing 3,5%;general malaise with a total of 75 cases, representing 43,4%;fever with a frequency of 66 cases, representing 38,2%;cough with a frequency of 56 cases, representing 32,4%;headaches with a frequency of 50 cases, representing 28,9%;and dyspnea with a frequency of 34, representing 19,7%. Conclusion: The male gender was predominant with comorbidities such as diabetes mellitus, general malaise and elevated CRP.