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Impact of Covid-19 on the Health of the General and More Vulnerable Population and Its Determinants

Health Care and Social Survey–Essoc, Study Protocol

Dados Bibliográficos

ID15465869
AutoresCarmen Sánchez-Cantalejo (0000-0002-3600-7007, Instituto de Investigación Biosanitaria de Granada), M Rueda (0000-0002-2903-8745, Universidad de Granada), Marc Sáez (0000-0003-1882-0157, Universitat de Girona), Iria Enrique (0000-0001-9550-1796, Andalusian Health Service), Ramón Ferri‐García (0000-0002-9655-933X, Universidad de Granada), Miguel Á de la Fuente (0000-0003-4619-8756), Román Villegas (0000-0003-0845-0172, Andalusian Health Service), Luis Castro (0000-0002-4428-5939, Universidad de Granada), Maria Antònia Barceló (0000-0001-9720-690X, Universitat de Girona), Antonio Daponte (0000-0002-9581-5944, Centre for Biomedical Network Research on Rare Diseases), Nicola Lorusso (0000-0003-2829-2546, Andalusian Health Service), Andrés Cabrera-León (0000-0002-4812-1026, Centre for Biomedical Network Research on Rare Diseases, autor correspondente)
Ano2021
Volume18
Fascículo15
Páginas8120-8120
Data de publicação2021-07-31
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoInternational Journal of Environmental Research and Public Health (JOURNAL)
Identificadores do periódicoISSN: 1661-7827 • E-ISSN: 1660-4601
EditoraMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/ijerph18158120
PMID34360413
OpenAlexW3161189739
IdiomaEN
Citações recebidas3
Referências citadas18

This manuscript describes the rationale and protocol of a real-world data (RWD) study entitled Health Care and Social Survey (ESSOC, Encuesta Sanitaria y Social). The study's objective is to determine the magnitude, characteristics, and evolution of the COVID-19 impact on overall health as well as the socioeconomic, psychosocial, behavioural, occupational, environmental, and clinical determinants of both the general and more vulnerable population. The study integrates observational data collected through a survey using a probabilistic, overlapping panel design, and data from clinical, epidemiological, demographic, and environmental registries. The data will be analysed using advanced statistical, sampling, and machine learning techniques. The study is based on several measurements obtained from three random samples of the Andalusian (Spain) population: general population aged 16 years and over, residents in disadvantaged areas, and people over the age of 55. Given the current characteristics of this pandemic and its future repercussions, this project will generate relevant information on a regular basis, commencing from the beginning of the State of Alarm. It will also establish institutional alliances of great social value, explore and apply powerful and novel methodologies, and produce large, integrated, high-quality and open-access databases. The information described here will be vital for health systems in order to design tailor-made interventions aimed at improving the health care, health, and quality of life of the populations most affected by the COVID-19 pandemic

Coronavirus disease 2019 (COVID-19 · Disadvantaged · Economic growth · Environmental health · Health care · Observational study · Pandemic · Population · Psychosocial · Public health · Social determinants of health · Socioeconomic status · COVID-19 and healthcare impacts · COVID-19 and Mental Health · Health disparities and outcomes · Medicine · Nursing · Gerontology

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Obras citantes distintas3
Citações por ano0,75
Intervalo de citações2022 - 2024 (3)
Velocidade de citaçãorecent
Altamente citadoNão
Tipos de citaçãoNeutras: 3
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