The new coronavirus, called SARS-CoV-2, is a single-stranded RNA virus The main mechanism of entry of the virus in the cells of the hosts is through the angiotensin-converting enzyme 2 (ACE-2) that acts as a receptor in the epithelial cells of the upper respiratory tract The aim of this research was to describe the epidemiological profile of those affected by COVID-19 in the city of Macapa, Brazil, in addition to calculating the lethality rates by age group, sex and previous morbidity A quantitative analysis was carried out based on confirmed cases of COVID-19 in the municipality of Macapa, with secondary data extracted from the database and aggregated information from the Municipal Health Department The analysis of the epidemiological profile of those affected, the evolution and severity of COVID-19 is important to determine and adapt mitigation strategies and to allow the planning of actions and health care to combat SARS-CoV-2 in Macapa

https://rsdjournal.org/index.php/rsd/article/download/5499/4641

Caracterização clínica e epidemiologia de 1560 casos de COVID-19 em Macapá/AP, extremo norte do Brasil

Since the first detected cases of COVID-19 in Brazil, researchers have made a great effort to try to understand the disease. Understanding the impact of the disease on people can be instrumental in identifying which groups can be considered at risk. Therefore, this study researches a probabilistic model based on a statistical model of non-linear regression analyzing the following variables: age, if you are a health professional, if you are resident in the Metropolitan Region of Belem (RMB), State of Para and gender with the objective of identifying those people who have a greater impact on the number of people infected and killed by COVID-19, that is, people who are more likely to die. To carry out the research, we used the data of all infected people by COVID-19 in the State of Para until July 2020. It can be verified according to the proposal of the probabilistic model that elderly people, with a odds ratio of 1.69 (95% CI 1.52-1.88), residents of Metropolitan Region of Belem, with an odds ratio of 2.14 (95% CI 2.02 - 2.27) and men, with an odds ratio of 1.83 (95% CI 1.73 - 1.95) are groups of people with a higher risk of dying from diseases, while health professionals, with a 0.36 chance ratio (CI9 5% 0.29 - 0.45), are less likely to die.

/pdf/multivariate-regression-analysis-in-the-probability-of-46ijn5jjaf.pdf

Multivariate regression analysis in the probability of deaths in COVID-19 cases: a case study in the State of Pará, Amazon region, Brazil

Covid-19 (Enfermedad por Coronavirus 2019) es una infeccion causada por el virus SARS-CoV-2, con los primeros casos reportados en...

/pdf/analisis-de-los-principales-factores-de-riesgo-preexistentes-5ebnla24vb.pdf

Análisis de los principales factores de riesgo preexistentes en pacientes diagnosticados con COVID-19 en Amapá, Amazônia, Brasil

COVID-19 (Coronavirus Disease 2019) is an infection caused by the SARS-CoV-2 virus, with first cases reported in December 2019 in Wuhan...

/pdf/analysis-of-the-main-preexisting-risk-factors-in-patients-2brcdk1dq2.pdf

Analysis of The Main Preexisting Risk Factors In Patients Diagnosed With COVID-19 In Amapá, Amazônia, Brazil

Covid-19 (Coronavirus Disease 2019) est une infection causee par le virus SARS-CoV-2, avec les premiers cas signales en Decembre 2019 dans...

Analyse des principaux facteurs de risque préexistants chez les patients diagnostiqués covid-19 à Amapá, Amazônia, Brésil

Este artigo apresenta uma analise da propagacao do SARS-CoV-2 no Amapa atraves da utilizacao de tres abordagens. Na primeira, partiu-se do..

/pdf/predicao-da-propagacao-do-sars-cov-2-no-estado-do-amapa-357raukcx8.pdf

Predição da propagação do SARS-CoV-2 no Estado do Amapá, Amazônia, Brasil, por modelagem matemática

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Predição da propagação do SARS-CoV-2 no Estado do Amapá, Amazônia, Brasil, por modelagem matemática