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

Carmen Sánchez-Cantalejo, María del Mar Rueda, Marc Saez, Iria Enrique, Ramón Ferri, Miguel de La Fuente, Román Villegas, Luis Castro, Maria Antònia Barceló, Antonio Daponte-Codina, Nicola Lorusso and Andrés Cabrera-León
Additional contact information
Carmen Sánchez-Cantalejo: Andalusian School of Public Health (EASP, Escuela Andaluza de Salud Pública), 18080 Granada, Spain
María del Mar Rueda: Department of Statistics and Operations Research, University of Granada, 18014 Granada, Spain
Marc Saez: Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, 17003 Girona, Spain
Iria Enrique: Andalusian Institute of Statistics and Cartography, 41071 Seville, Spain
Ramón Ferri: Department of Statistics and Operations Research, University of Granada, 18014 Granada, Spain
Miguel de La Fuente: Demométrica, Market Research and Public Opinion, 28001 Madrid, Spain
Román Villegas: Andalusian Health System, 41001 Seville, Spain
Luis Castro: Department of Statistics and Operations Research, University of Granada, 18014 Granada, Spain
Maria Antònia Barceló: Research Group on Statistics, Econometrics and Health (GRECS), University of Girona, 17003 Girona, Spain
Antonio Daponte-Codina: Andalusian School of Public Health (EASP, Escuela Andaluza de Salud Pública), 18080 Granada, Spain
Nicola Lorusso: Health Surveillance Service, Department of Health and Families, Andalusian Regional Government, 41020 Seville, Spain
Andrés Cabrera-León: Andalusian School of Public Health (EASP, Escuela Andaluza de Salud Pública), 18080 Granada, Spain

IJERPH, 2021, vol. 18, issue 15, 1-20

Abstract: 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.

Keywords: public health; health determinants; health inequalities; COVID-19; SARS-CoV-2; vulnerable populations; real-world data; surveys; population registries; machine learning (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/18/15/8120/pdf (application/pdf)
https://www.mdpi.com/1660-4601/18/15/8120/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:18:y:2021:i:15:p:8120-:d:605996

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().