IDEAS home Printed from https://ideas.repec.org/a/gam/jsoctx/v15y2025i7p197-d1702245.html
   My bibliography  Save this article

Socio-Scientific Perspectives on COVID-Planned Interventions in the Homeless Population

Author

Listed:
  • David Melero-Fuentes

    (Addictions, Adolescence and Development (AAD), Faculty of Psychology, Catholic University of Valencia, 46100 Burjassot, Spain)

  • Remedios Aguilar-Moya

    (Interdisciplinary Group on Active Learning and Assessment (IGALA), Faculty of Training and Education Sciences, Catholic University of Valencia, 46100 Burjassot, Spain)

Abstract

Homelessness is characterised by a wide range of risk factors of a multidimensional and unstable nature. The COVID-19 pandemic intensified these risk factors associated with homelessness but also prompted the development of prevention and care actions. This study identified and mapped the intervention programmes carried out for people experiencing homelessness in the wake of the COVID-19 pandemic. To achieve the study purpose, a thematic analysis of the scientific literature was conducted following the search strategy and analysis methodology characteristic of informetrics and scientometrics. The sources of information used were WoS, Scopus, PubMed, PsycINFO and ERIC. The paucity of planned actions, most of which have a local impact, reinforces the need to strengthen research that presents robust evidence on this issue. China and Europe are under-represented compared to other types of studies linked to COVID-19 and the prevalence of homelessness. Several clusters are distinguished among the plans: they are carried out in buildings or in geographical areas and according to the impact on the group (preventive, substance-related disorder support, health care and diagnostic). Among the emerging themes, health and social variables are represented, including communication and trust between health, community and homeless groups. The reduction in the thematic dimensionality shows equal planning between health care actions (81.8%) and psychosocial and prevention support (72.8%), an aspect that confirms the importance of joint actions. In this line, among the various clusters of the network analysis, the relationship between hotel, mental health support, substance-related disorder, social intervention and access to permanent housing was found. The studies analysed also highlight social exclusion, stigma, victimisation, living conditions and the risk of contagion among this group. This situation has not gone unnoticed among the studies analysed, which present proposals for the continuation of the projects.

Suggested Citation

  • David Melero-Fuentes & Remedios Aguilar-Moya, 2025. "Socio-Scientific Perspectives on COVID-Planned Interventions in the Homeless Population," Societies, MDPI, vol. 15(7), pages 1-19, July.
    • Handle: RePEc:gam:jsoctx:v:15:y:2025:i:7:p:197-:d:1702245
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2075-4698/15/7/197/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2075-4698/15/7/197/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Julia Corey & James Lyons & Austin O’Carroll & Richie Stafford & Jo-Hanna Ivers, 2022. "A Scoping Review of the Health Impact of the COVID-19 Pandemic on Persons Experiencing Homelessness in North America and Europe," IJERPH, MDPI, vol. 19(6), pages 1-30, March.
    2. Alkire, Sabina & Santos, Maria Emma, 2014. "Measuring Acute Poverty in the Developing World: Robustness and Scope of the Multidimensional Poverty Index," World Development, Elsevier, vol. 59(C), pages 251-274.
    3. Fran Calvo & Oriol Turró-Garriga & Carles Fàbregas & Rebeca Alfranca & Anna Calvet & Mercè Salvans & Cristina Giralt & Sandra Castillejos & Mercè Rived-Ocaña & Paula Calvo & Paz Castillo & Josep Garre, 2021. "Mortality Risk Factors for Individuals Experiencing Homelessness in Catalonia (Spain): A 10-Year Retrospective Cohort Study," IJERPH, MDPI, vol. 18(4), pages 1-10, February.
    4. Nees Jan van Eck & Ludo Waltman, 2009. "How to normalize cooccurrence data? An analysis of some well‐known similarity measures," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(8), pages 1635-1651, August.
    5. Ying Huang & Jannik Schuehle & Alan L. Porter & Jan Youtie, 2015. "A systematic method to create search strategies for emerging technologies based on the Web of Science: illustrated for ‘Big Data’," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 2005-2022, December.
    6. Jochen Gläser & Wolfgang Glänzel & Andrea Scharnhorst, 2017. "Same data—different results? Towards a comparative approach to the identification of thematic structures in science," Scientometrics, Springer;Akadémiai Kiadó, vol. 111(2), pages 981-998, 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. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    2. Hric, Darko & Kaski, Kimmo & Kivelä, Mikko, 2018. "Stochastic block model reveals maps of citation patterns and their evolution in time," Journal of Informetrics, Elsevier, vol. 12(3), pages 757-783.
    3. Shuo Xu & Junwan Liu & Dongsheng Zhai & Xin An & Zheng Wang & Hongshen Pang, 2018. "Overlapping thematic structures extraction with mixed-membership stochastic blockmodel," Scientometrics, Springer;Akadémiai Kiadó, vol. 117(1), pages 61-84, October.
    4. Clarke, Philip & Erreygers, Guido, 2020. "Defining and measuring health poverty," Social Science & Medicine, Elsevier, vol. 244(C).
    5. Niccolò Comerio & Fernanda Strozzi, 2019. "Tourism and its economic impact: A literature review using bibliometric tools," Tourism Economics, , vol. 25(1), pages 109-131, February.
    6. Shao, Zhen & Zheng, Qingru & Yang, Shanlin & Gao, Fei & Cheng, Manli & Zhang, Qiang & Liu, Chen, 2020. "Modeling and forecasting the electricity clearing price: A novel BELM based pattern classification framework and a comparative analytic study on multi-layer BELM and LSTM," Energy Economics, Elsevier, vol. 86(C).
    7. Espinoza-Delgado, José & Silber, Jacques, 2018. "Multi-dimensional poverty among adults in Central America and gender differences in the three I’s of poverty: Applying inequality sensitive poverty measures with ordinal variables," MPRA Paper 88750, University Library of Munich, Germany.
    8. Zhang, Yi & Huang, Ying & Porter, Alan L. & Zhang, Guangquan & Lu, Jie, 2019. "Discovering and forecasting interactions in big data research: A learning-enhanced bibliometric study," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 795-807.
    9. Vuong, Quan-Hoang & Huyen, Nguyen Thanh Thanh & Pham, Thanh-Hang & Phuong, Luong Anh & Nguyen, Minh-Hoang, 2020. "Mapping the intellectual and conceptual structure of research on gender issues in the family business: A bibliometric review," OSF Preprints jgnrw, Center for Open Science.
    10. Tom Broekel & Matthias Brachert, 2015. "The structure and evolution of inter-sectoral technological complementarity in R&D in Germany from 1990 to 2011," Journal of Evolutionary Economics, Springer, vol. 25(4), pages 755-785, September.
    11. Marlous Milliano & Ilze Plavgo, 2018. "Analysing Multidimensional Child Poverty in Sub-Saharan Africa: Findings Using an International Comparative Approach," Child Indicators Research, Springer;The International Society of Child Indicators (ISCI), vol. 11(3), pages 805-833, June.
    12. Serhat Burmaoglu & Ozcan Saritas, 2019. "An evolutionary analysis of the innovation policy domain: Is there a paradigm shift?," Scientometrics, Springer;Akadémiai Kiadó, vol. 118(3), pages 823-847, March.
    13. Massimiliano M. Pellegrini & Riccardo Rialti & Giacomo Marzi & Andrea Caputo, 2020. "Sport entrepreneurship: A synthesis of existing literature and future perspectives," International Entrepreneurship and Management Journal, Springer, vol. 16(3), pages 795-826, September.
    14. Cathelijn J. F. Waaijer & Cornelis A. Bochove & Nees Jan Eck, 2011. "On the map: Nature and Science editorials," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 99-112, January.
    15. Angela C. Lyons & Josephine Kass‐Hanna & Alejandro Montoya Castano, 2023. "A multidimensional approach to measuring vulnerability to poverty among refugee populations," Journal of International Development, John Wiley & Sons, Ltd., vol. 35(7), pages 2014-2045, October.
    16. María Pinto & Rosaura Fernández-Pascual & David Caballero-Mariscal & Dora Sales, 2020. "Information literacy trends in higher education (2006–2019): visualizing the emerging field of mobile information literacy," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1479-1510, August.
    17. Janina Isabel Steinert & Lucie Dale Cluver & G. J. Melendez-Torres & Sebastian Vollmer, 2018. "One Size Fits All? The Validity of a Composite Poverty Index Across Urban and Rural Households in South Africa," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 136(1), pages 51-72, February.
    18. Livio Cricelli & Michele Grimaldi & Silvia Vermicelli, 2022. "Crowdsourcing and open innovation: a systematic literature review, an integrated framework and a research agenda," Review of Managerial Science, Springer, vol. 16(5), pages 1269-1310, July.
    19. Mathias KUEPIE & Eric Patrick FEUBI PAMEN, 2017. "An Application of the Alkire-Foster’s Multidimensional Poverty Index to Data from Madagascar: Taking Into Account the Dimensions of Employment and Gender Inequality," Working Paper 6ca04615-044d-41a0-8737-9, Agence française de développement.
    20. Chungil Chae & Jeong-Ha Yim & Jaeeun Lee & Sung Jun Jo & Jeong Rok Oh, 2020. "The Bibliometric Keywords Network Analysis of Human Resource Management Research Trends: The Case of Human Resource Management Journals in South Korea," Sustainability, MDPI, vol. 12(14), pages 1-37, July.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:jsoctx:v:15:y:2025:i:7:p:197-:d:1702245. 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.