A competing risk survival analysis of the sociodemographic factors of Covid-19 in-hospital mortality in Ecuador
Bibliographic Data
| ID | 5166736 |
|---|---|
| Authors | German Josuet Lapo-Talledo (0000-0002-4525-7534, Universidad Técnica de Manabí), Jorge Andrés Talledo-Delgado (0000-0001-5808-3636, Universidad Técnica de Manabí), Lilian Sosa Fernández-Aballí (0000-0002-3460-4297, Universidad Técnica de Manabí) |
| Year | 2023 |
| Volume | 39 |
| Issue | 1 |
| Pages | e00294721-e00294721 |
| Publication date | 2023-01-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Cadernos de Saude Publica (JOURNAL) |
| Journal identifiers | ISSN: 0102-311X • E-ISSN: 1678-4464 |
| Publisher | FapUNIFESP (SciELO) (PUBLISHER) |
| DOI | 10.1590/0102-311xen294721 |
| PMID | 36753093 |
| OpenAlex | W4319461080 |
| SCIELO_PID | S0102-311X2023000105005 |
| Language | EN |
| Citations received | 2 |
| References cited | 33 |
This study aimed to analyze the effect of sociodemographic characteristics on COVID-19 in-hospital mortality in Ecuador from March 1 to December 31, 2020. This retrospective longitudinal study was performed with data from publicly accessible registries of the Ecuadorian National Institute of Statistics and Censuses (INEC). Data underwent a competing risk analysis with estimates of the cumulative incidence function (CIF). The effect of covariates on CIFs was estimated using the Fine-Gray model and results were expressed as adjusted subdistribution hazard ratios (SHR). The analysis included 30,991 confirmed COVID-19 patients with a mean age of 56.57±18.53 years; 60.7% (n = 18,816) were men and 39.3% (n = 12,175) were women. Being of advanced age, especially older than or equal to 75 years (SHR = 17.97; 95%CI: 13.08-24.69), being a man (SHR = 1.29; 95%CI: 1.22-1.36), living in rural areas (SHR = 1.18; 95%CI: 1.10-1.26), and receiving care in a public health center (SHR = 1.64; 95%CI: 1.51-1.78) were factors that increased the incidence of death from COVID-19, while living at an elevation higher than 2,500 meters above sea level (SHR = 0.69; 95%CI: 0.66-0.73) decreased this incidence. Since the incidence of death for individuals living in rural areas and who received medical care from the public sector was higher, income and poverty are important factors in the final outcome of this disease
Confidence interval · Coronavirus disease 2019 (COVID-19) · Cumulative incidence · Disease · Hazard ratio · Incidence (geometry) · Infectious disease (medical specialty) · Proportional hazards model · Public health · Rural area · COVID-19 and healthcare impacts · COVID-19 and Mental Health · COVID-19 Clinical Research Studies · Demography · Internal Medicine · Medicine · Gerontology
Association of Social and Demographic Factors With Covid-19 Incidence and Death Rates in the US
A population-based cohort study of socio-demographic risk factors for Covid-19 deaths in Sweden
Case-Fatality Rate and Characteristics of Patients Dying in Relation to Covid-19 in Italy
Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics
A pneumonia outbreak associated with a new coronavirus of probable bat origin
A Novel Coronavirus from Patients with Pneumonia in China, 2019
Coronavirus Disease-2019 Survival in Mexico
Higher risk of death from Covid-19 in low-income and non-White populations of São Paulo, Brazil
A survival analysis of Covid-19 in the Mexican population
Rural-Urban Mortality Disparities
La covid-19 en Ecuador
| Unique citing works | 2 |
|---|---|
| Citations per year | 1 |
| Citation span | 2024 - 2024 (1) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 1 |