COVID-19, una emergencia de salud pública mundial

Cruz, M. Palacios; Santos, Edgar; Cervantes, Manel; Juarez, Matthew

doi:10.1016/j.rce.2020.03.001

Cited by 183 publications

(107 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…https://doi.org/10. 1101/2020.04.13.20060228 doi: medRxiv preprint (Lai et al, 2020Palacios et al, 2020). Consequently, China also needs to continue to strengthen its prevention and control for COVID-19.…”

Section: (Which Was Not Certified By Peer Review)mentioning

confidence: 99%

Basic reproduction number of 2019 Novel Coronavirus Disease in Major Endemic Areas of China: A latent profile analysis

Yuan²,

et al. 2020

Preprint

View full text Add to dashboard Cite

Objective The aim of the study is to analyze the latent class of basic reproduction number (R 0 ) trend of 2019 novel coronavirus disease in major endemic areas of China. MethodsThe provinces that reported more than 500 cases of COVID-19 till February 18, 2020 were selected as the major endemic area. The Verhulst model was used to fit the growth rate of cumulative confirmed cases. The R 0 of COVID-19 was calculated using the parameters of severe acute respiratory syndrome (SARS) and COVID-19, respectively. The latent class of R 0 was analyzed using a latent profile analysis model. Results The median R 0 calculated from SARS and COVID-19 parameters were 1.84 -3.18 and 1.74 -2.91, respectively. The R 0 calculated from the SARS parameters was greater than that of calculated from the COVID-19 parameters (Z = -4.782 --4.623, P < 0.01). Both R 0 can be divided into three latent classes. The initial value of R 0 in class 1 (Shandong Province, Sichuan Province and Chongqing Municipality) was relatively low and decreases slowly. The initial value of R 0 in class 2 (Anhui Province, Hunan Province, Jiangxi Province, Henan Province, Zhejiang Province, Guangdong Province and Jiangsu Province) was relatively high and decreases rapidly. Moreover, the initial value of R 0 of class 3 (Hubei Province) was between that of class 1 and class 2, but the higher level of R 0 lasts longer and decreases slowly. Conclusion The results indicated that overall trend of R 0 has been falling with the strengthening of China's comprehensive prevention and control measures for COVID-19, however, EpidemiologyOverall, we found that the R 0 of COVID-19 shows a downward trend in major endemic areas in China, and there are regional differences (three latent classes). Actively adopting combined prevention and control measures in the early stages of the epidemic can effectively control COVID-19. Author contributionsFangbiao TAO designed the study. Honglv XU took primary responsibility for writing the manuscript, managed the literature searches and analyses, and undertook the statistical analysis.

show abstract

Section: (Which Was Not Certified By Peer Review)mentioning

confidence: 99%

Basic reproduction number of 2019 Novel Coronavirus Disease in Major Endemic Areas of China: A latent profile analysis

Yuan²,

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…This rapid expansion of the virus is partly due to its high transmissivity, which has an estimated basic reproduction number of 2.24 to 3.58, meaning that an individual who is a transmitter of the virus could infect from two to four others [5], even though they do not show any symptomatology [6], and its incubation period varies from two to 14 days, with an average of seven days [7]. The symptomatology of those infected is fever, dry cough, sore throat, difficulties breathing, fatigue, nausea, vomiting, and diarrhea.…”

Section: Introductionmentioning

confidence: 99%

“…It might also cause depression, anxiety, fatigue, posttraumatic stress disorder, and more rarely, in the long-term, neuropsychiatric syndromes [9]. COVID-19 can infect people of all ages, but men over 70 with preexisting conditions, such as asthma, diabetes, or heart disease, are the most susceptible, reporting an >8% mortality rate [5]. Women are less susceptible to infection and because of their distinctive immune system, severity and mortality are much lower in children than in adults [5].…”

Section: Introductionmentioning

confidence: 99%

Psychological Impact of COVID-19 Confinement and Its Relationship with Meditation

Jiménez

Sánchez-Sánchez

García-Montes

2020

IJERPH

View full text Add to dashboard Cite

The objective of this study was to evaluate the psychological impact of confinement due to the COVID-19 pandemic, considering any protective factors, such as the practice of meditation or self-compassion, and their relationship with different lifestyles and circumstances of adults residing in Spain. A cross-sectional study was done using an anonymous online survey in which 412 participants filled out the Depression, Anxiety and Stress Scale-2; the Impact of Events Scale; and the Self-Compassion Scale-Short Form, reporting severe symptomatology of posttraumatic stress and mild anxiety and depression. Quality of cohabitation and age were found to be key variables in the psychological impact of confinement. The impact of confinement was more negative for those who reported very poor cohabitation as opposed to very good (F (3, 405) = 30.75, p ≤ 0.001, d = 2.44, r = 0.054) or for those under 35 years of age compared to those over 46 (F (2, 409) = 5.14, p = 0.006, d = 0.36). Practicing meditation was not revealed as a protective factor, but self-compassion was related to better cohabitation during confinement (F (3, 403) = 11.83, p ≤ 0.001, d = 1.05). These results could be relevant in designing psychological interventions to improve coping and mental health in other situations similar to confinement.

show abstract

“…El análisis espacial y la generación de cartografía temática constituyen elementos fundamentales que amplían el conocimiento e interpretación de la distribución de los eventos de importancia en salud pública, puesto que, en la actualidad, el 80% de las necesidades de información de los tomadores de decisiones en Gobiernos locales se relacionan con atributos geográficos (34). De igual manera, los mapas generados facilitan la diseminación de información clara y concisa a la población, que, bajo las actuales circunstancias, está alerta ante la información que les permita tomar medidas de protección (3).…”

Section: Ateri Ales Y Métodosunclassified

“…as enfermedades respiratorias transmisibles como la COVID-19, ocasionada por el coronavirus SARS-CoV-2 (1), están determinadas por la tasa de contacto y por el riesgo de infección, definido como la probabilidad de que el COVID-19 sea transferido a un individuo sin inmunidad (susceptible). La tasa de contacto y el riesgo de infección establecen la tasa de transmisión (2,3). La tasa de transmisión es modulada por factores y dinámicas sociales que determinan las relaciones entre sujetos en territorio (4), definiéndose un patrón espacial de contagio (5,6).…”

unclassified

Riesgo de transmisión de SARS-CoV-2: evaluación espacial multicriterio en un municipio de Colombia, 2020

et al. 2020

View full text Add to dashboard Cite

Objetivo Zonificar el riesgo de transmisión de SARS-CoV-2 en Villavicencio, Colombia, mediante una evaluación espacial multicriterio.Materiales y Métodos Se implementó un modelo de evaluación multicriterio, a través de un proceso de análisis jerárquico integrado a un sistema de información geográfica. Como criterios fueron incluidos atributos descriptores de las amenazas y vulnerabilidades de transmisión viral identificados mediante un modelo epidemiológico en una misma escala numérica adimensional y proporcional a la probabilidad de contagio. Las alternativas evaluadas corresponden a entidades espaciales representadas por pixeles. Los criterios fueron ponderados de acuerdo con el juicio experto de los evaluadores, con los cuales se realizó el cálculo de una matriz de prioridades relativas normalizada, que permitió la estimación de un vector de pesos, cuyo grado de inconsistencia fue admisible. La magnitud del riesgo se calculó con una sumatoria ponderada de la valoración de los criterios, de acuerdo con un geoproceso de álgebra de mapas.Resultados La heterogeneidad espacial del riesgo de transmisión de SARS-CoV-2 fue descrita en Villavicencio, lo que permitió identificar las áreas con mayor probabilidad de transmisión localizadas en barrios caracterizados por una alta vulnerabilidad socioeconómica.Conclusiones La representación cartográfica derivada de la implementación de un modelo multicriterio, integrado a un Sistema de Información Geográfica, en el análisis de riesgo de transmisión de SARS-CoV-2 constituye un aporte metodológico relevante para la toma de decisiones que definan estrategias de mitigación a escala local y que faciliten la localización y optimización de recursos por parte de las autoridades sanitarias.

show abstract

COVID-19, una emergencia de salud pública mundial

Cited by 183 publications

References 31 publications

Basic reproduction number of 2019 Novel Coronavirus Disease in Major Endemic Areas of China: A latent profile analysis

Basic reproduction number of 2019 Novel Coronavirus Disease in Major Endemic Areas of China: A latent profile analysis

Psychological Impact of COVID-19 Confinement and Its Relationship with Meditation

Riesgo de transmisión de SARS-CoV-2: evaluación espacial multicriterio en un municipio de Colombia, 2020

Contact Info

Product

Resources

About