IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v18y2021i15p8120-d605996.html
   My bibliography  Save this 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

Author

Listed:
  • Carmen Sánchez-Cantalejo

    (Andalusian School of Public Health (EASP, Escuela Andaluza de Salud Pública), 18080 Granada, Spain
    Institute of Biosanitary Research, ibs.Granada. (IBS-E-10), 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
    Network Biomedical Research Center of Epidemiology and Public Health (CIBERESP), 28029 Madrid, 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
    Network Biomedical Research Center of Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain)

  • Antonio Daponte-Codina

    (Andalusian School of Public Health (EASP, Escuela Andaluza de Salud Pública), 18080 Granada, Spain
    Institute of Biosanitary Research, ibs.Granada. (IBS-E-10), 18080 Granada, Spain
    Network Biomedical Research Center of Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
    Andalusian Health and Environment Observatory (OSMAN), Andalusian School of Public Health (EASP), 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
    Network Biomedical Research Center of Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain)

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.

Suggested Citation

  • 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 L, 2021. "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," IJERPH, MDPI, vol. 18(15), pages 1-20, July.
  • Handle: RePEc:gam:jijerp:v:18:y:2021:i:15:p:8120-:d:605996
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/18/15/8120/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/18/15/8120/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Håvard Rue & Sara Martino & Nicolas Chopin, 2009. "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 319-392, April.
    2. Carmen Orte & Lidia Sánchez-Prieto & David Caldevilla Domínguez & Almudena Barrientos-Báez, 2020. "Evaluation of Distress and Risk Perception Associated with COVID-19 in Vulnerable Groups," IJERPH, MDPI, vol. 17(24), pages 1-12, December.
    3. Jae Kwang Kim & Zhonglei Wang, 2019. "Sampling Techniques for Big Data Analysis," International Statistical Review, International Statistical Institute, vol. 87(S1), pages 177-191, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Nikoline N. Knudsen & Jörg Schullehner & Birgitte Hansen & Lisbeth F. Jørgensen & Søren M. Kristiansen & Denitza D. Voutchkova & Thomas A. Gerds & Per K. Andersen & Kristine Bihrmann & Morten Grønbæk , 2017. "Lithium in Drinking Water and Incidence of Suicide: A Nationwide Individual-Level Cohort Study with 22 Years of Follow-Up," IJERPH, MDPI, vol. 14(6), pages 1-13, June.
    2. Leonardo Padilla & Bernado Lagos‐Álvarez & Jorge Mateu & Emilio Porcu, 2020. "Space‐time autoregressive estimation and prediction with missing data based on Kalman filtering," Environmetrics, John Wiley & Sons, Ltd., vol. 31(7), November.
    3. Scott, Ryan P. & Scott, Tyler A., 2019. "Investing in collaboration for safety: Assessing grants to states for oil and gas distribution pipeline safety program enhancement," Energy Policy, Elsevier, vol. 124(C), pages 332-345.
    4. Cho, Daegon & Hwang, Youngdeok & Park, Jongwon, 2018. "More buzz, more vibes: Impact of social media on concert distribution," Journal of Economic Behavior & Organization, Elsevier, vol. 156(C), pages 103-113.
    5. Brown, Paul T. & Joshi, Chaitanya & Joe, Stephen & Rue, Håvard, 2021. "A novel method of marginalisation using low discrepancy sequences for integrated nested Laplace approximations," Computational Statistics & Data Analysis, Elsevier, vol. 157(C).
    6. Andre Python & Andreas Bender & Marta Blangiardo & Janine B. Illian & Ying Lin & Baoli Liu & Tim C.D. Lucas & Siwei Tan & Yingying Wen & Davit Svanidze & Jianwei Yin, 2022. "A downscaling approach to compare COVID‐19 count data from databases aggregated at different spatial scales," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 185(1), pages 202-218, January.
    7. Michaela Prokešová & Eva Jensen, 2013. "Asymptotic Palm likelihood theory for stationary point processes," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 65(2), pages 387-412, April.
    8. Shreosi Sanyal & Thierry Rochereau & Cara Nichole Maesano & Laure Com-Ruelle & Isabella Annesi-Maesano, 2018. "Long-Term Effect of Outdoor Air Pollution on Mortality and Morbidity: A 12-Year Follow-Up Study for Metropolitan France," IJERPH, MDPI, vol. 15(11), pages 1-8, November.
    9. Mayer Alvo & Jingrui Mu, 2023. "COVID-19 Data Analysis Using Bayesian Models and Nonparametric Geostatistical Models," Mathematics, MDPI, vol. 11(6), pages 1-13, March.
    10. Daniela Silva & Raquel Menezes & Ana Moreno & Ana Teles-Machado & Susana Garrido, 2024. "Environmental Effects on the Spatiotemporal Variability of Sardine Distribution Along the Portuguese Continental Coast," Journal of Agricultural, Biological and Environmental Statistics, Springer;The International Biometric Society;American Statistical Association, vol. 29(3), pages 553-575, September.
    11. David Jiménez-Hernández & Víctor González-Calatayud & Ana Torres-Soto & Asunción Martínez Mayoral & Javier Morales, 2020. "Digital Competence of Future Secondary School Teachers: Differences According to Gender, Age, and Branch of Knowledge," Sustainability, MDPI, vol. 12(22), pages 1-16, November.
    12. Vanessa Santos-Sánchez & Juan Antonio Córdoba-Doña & Javier García-Pérez & Antonio Escolar-Pujolar & Lucia Pozzi & Rebeca Ramis, 2020. "Cancer Mortality and Deprivation in the Proximity of Polluting Industrial Facilities in an Industrial Region of Spain," IJERPH, MDPI, vol. 17(6), pages 1-15, March.
    13. Sabrina Cipolletta & Gabriela Rios Andreghetti & Giovanna Mioni, 2022. "Risk Perception towards COVID-19: A Systematic Review and Qualitative Synthesis," IJERPH, MDPI, vol. 19(8), pages 1-25, April.
    14. Simon N. Wood & Natalya Pya & Benjamin Säfken, 2016. "Smoothing Parameter and Model Selection for General Smooth Models," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(516), pages 1548-1563, October.
    15. Yuan Yan & Eva Cantoni & Chris Field & Margaret Treble & Joanna Mills Flemming, 2023. "Spatiotemporal modeling of mature‐at‐length data using a sliding window approach," Environmetrics, John Wiley & Sons, Ltd., vol. 34(2), March.
    16. Gael M. Martin & David T. Frazier & Christian P. Robert, 2020. "Computing Bayes: Bayesian Computation from 1763 to the 21st Century," Monash Econometrics and Business Statistics Working Papers 14/20, Monash University, Department of Econometrics and Business Statistics.
    17. Xin Jin, 2021. "Can we imitate the principal investor's behavior to learn option price?," Papers 2105.11376, arXiv.org, revised Jan 2022.
    18. Jamie L. Cross & Chenghan Hou & Aubrey Poon, 2018. "International Transmission of Macroeconomic Uncertainty in Small Open Economies: An Empirical Approach," Working Papers No 12/2018, Centre for Applied Macro- and Petroleum economics (CAMP), BI Norwegian Business School.
    19. Massimo Bilancia & Giacomo Demarinis, 2014. "Bayesian scanning of spatial disease rates with integrated nested Laplace approximation (INLA)," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 23(1), pages 71-94, March.
    20. Soutik Ghosal & Timothy S. Lau & Jeremy Gaskins & Maiying Kong, 2020. "A hierarchical mixed effect hurdle model for spatiotemporal count data and its application to identifying factors impacting health professional shortages," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 69(5), pages 1121-1144, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:18:y:2021:i:15:p:8120-:d:605996. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.