Your browser doesn't support javascript.
Show: 20 | 50 | 100
Results 1 - 5 de 5
Filter
1.
Revista Cubana de Investigaciones Biomedicas ; 40(2), 2021.
Article in Spanish | Scopus | ID: covidwho-1391225

ABSTRACT

Introduction: Since March 2020, Cuba has been affected by SARS-CoV-2, a highly infectious coronavirus that causes COVID-19. In COVID-19 a set of associated symptoms is presented and its evolution can be influenced by the presence of certain personal pathological antecedents in the host. Objective: To identify through principal components the grouping of clinical variables in cases with COVID-19 in Santiago de Cuba province, Cuba. Methods: We conducted an observational, descriptive and transversal study. The study population consisted of the 49 confirmed cases with COVID-19 in the province of Santiago de Cuba. Ten clinical variables were selected: nine related to symptoms and personal pathological history, and one to the state “deceased”. Principal component analysis was applied as a statistical technique. Results: Variables were represented at the level of the first two principal components. The first component was associated to symptoms and the second component to personal pathological antecedents not associated to the respiratory system. This representation revealed that variables leading to an unfavorable evolution of cases were located in the first and fourth quadrants of the plane, being remarkable for those located in the fourth quadrant. The second and third quadrants were indicators of the favorable evolution, being marked in the second quadrant. Conclusions: The principal component analysis groups the clinical variables and corroborates that personal pathological antecedents have an essential role in the unfavorable evolution of patients with COVID-19. © 2021, Editorial Ciencias Medicas. All rights reserved.

2.
Revista Cubana de Medicina ; 60(1), 2021.
Article in Spanish | CAB Abstracts | ID: covidwho-1196304

ABSTRACT

Introduction: From the onset of COVID-19 epidemic, a multidisciplinary team is formed in Santiago de Cuba with the participation of several institutions and activated by the Provincial Defense Council. Integrated epidemiological analysis, government management and social response would be decisive in controlling the disease. Objectives: To identify possible groups of COVID-19 cases in the Santiago de Cuba province and to describe the transmission according to epidemiological variables.

3.
Revista Cubana de Salud Publica ; 46, 2020.
Article in Spanish | Scopus | ID: covidwho-1196245

ABSTRACT

Objective: To describe the behaviour of COVID-19 confirmed cases from Santiago de Cuba province between March and April, 2020. Methods: It was carried out a cross-sectional, observational descriptive study taking as studied population 49 COVID-19 positive cases in Santiago de Cuba province between March and April, 2020. There were selected clinic and epidemiologic variables. As statistical technique it was applied the implicative statistical analysis with its three forms: similarity, cohesive, and implicative. Results: It was obtained a set of all the relations among the studied variables in a graphic way, being highlighted the differences among both sexes since the females were related to the asymptomatic category and the males to symptomatic, seriously ill and deceased categories;while older adults were related with the higher amount of personal pathological background and the deceased ones, and young adults were related to the backgrounds and respiratory system’s symptoms. Conclusions: This study allows to visualize, as a distinctive feature of COVID-19 cases´ behaviour in Santiago de Cuba province, that the highest risk sub-group is the one of male 2 older adults with underlying diseases, mainly arterial hypertension, which is similar to what is happening in other regions of the world. © 2020, Editorial Ciencias Medicas. All rights reserved.

4.
Revista Mexicana De Fisica ; 67(1):123-136, 2021.
Article in English | Web of Science | ID: covidwho-1059946

ABSTRACT

In the province of Santiago de Cuba, Cuba, the COVID-19 epidemic has a limited progression that shows an early small-number peak of infections. Most published mathematical models fit data with high numbers of confirmed cases. In contrast, small numbers of cases make it difficult to predict the course of the epidemic. We present two known models adapted to capture the noisy dynamics of COVID-19 in the Santiago de Cuba province. Parameters of both models were estimated using the approximate-Bayesian-computation framework with dedicated error laws. One parameter of each model was updated on key dates of travel restrictions. Both models approximately predicted the infection peak and the end of the COVID-19 epidemic in Santiago de Cuba. The first model predicted 57 reported cases and 16 unreported cases. Additionally, it estimated six initially exposed persons. The second model forecasted 51 confirmed cases at the end of the epidemic. In conclusion, an opportune epidemiological investigation, along with the low number of initially exposed individuals, might partly explain the favorable evolution of the COVID-19 epidemic in Santiago de Cuba. With the available data, the simplest model predicted the epidemic evolution with greater precision, and the more complex model helped to explain the epidemic phenomenology.

5.
Revista Cubana de Salud Publica ; 46(Suppl. 1), 2020.
Article in Spanish | GIM | ID: covidwho-1013700

ABSTRACT

Objective: To describe the behaviour of COVID-19 confirmed cases from Santiago de Cuba province between March and April, 2020.

SELECTION OF CITATIONS
SEARCH DETAIL