4.3 Article

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

Publisher

MDPI
DOI: 10.3390/ijerph18158120

Keywords

public health; health determinants; health inequalities; COVID-19; SARS-CoV-2; vulnerable populations; real-world data; surveys; population registries; machine learning

Funding

  1. Andalusian Institute of Statistics and Cartography (IECA)
  2. Andalusian School of Public Health (EASP)
  3. SUPERA COVID-19 Fund of Santander Universities (SAUN)
  4. Spanish University Rectors (CRUE, Conferencia de Rectores de Universidades Espanolas)
  5. Spanish National Research Council (CSIC, Consejo Superior de Investigaciones Cientificas)
  6. Pfizer Global Medical Grants
  7. IMAG-Maria de Maeztu grant [CEX2020-001105-M/AEI/10.13039/501100011033]
  8. Ministerio de Ciencia e Innovacion, Spain [PID2019-106861RB-I00/AEI/10.13039/501100011033]

Ask authors/readers for more resources

This study aims to investigate the impact of COVID-19 on population health using various methods, and to provide critical data for health systems to design tailored health interventions for the populations most affected by the pandemic.
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.

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