The Social Services Risk Index at Local Level: A Tool for Diagnosis and Decision Making

Rocío Muñoz-Moreno, Fernando Relinque-Medina, Aleix Morilla-Luchena and Manuela A. Fernández-Borrero ()
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Rocío Muñoz-Moreno: ESEIS Research Group, Department of Sociology Social Work and Public Health, University of Huelva, 21007 Huelva, Spain
Fernando Relinque-Medina: Department of Social Work and Social Services, Pablo de Olavide University, 41013 Seville, Spain
Aleix Morilla-Luchena: ESEIS Research Group, Department of Sociology Social Work and Public Health, University of Huelva, 21007 Huelva, Spain
Manuela A. Fernández-Borrero: ESEIS Research Group, Department of Sociology Social Work and Public Health, University of Huelva, 21007 Huelva, Spain

Social Sciences, 2023, vol. 12, issue 7, 1-16

Abstract: The COVID-19 pandemic has had a decisive impact on our society, generating both direct and indirect effects in a multitude of dimensions, beyond the purely health-related, which have conditioned people’s well-being and quality of life. The social services system has played an essential role in absorbing the consequences of these impacts on the most socially vulnerable population. Analysing the social impacts and monitoring the risks derived from the pandemic can favour the prevention of risk situations, adjust the resources of the social services system to changing social realities and facilitate the strategic decision-making process to mitigate or minimise the impacts of potential socio-annual crises or catastrophes. This article presents a methodological process, based on the HCVRA (Hazards, Capacity Building, Vulnerability, Risk Assessment) disaster management models, designed ad hoc with the aim of identifying, on the one hand, the social impacts of COVID-19 and, on the other hand, the areas with the highest social risk in the post-COVID scenario. The application of this methodological process has made it possible to configure a set of indicators based on public databases, defined by consulting experts and weighted by a panel of stakeholders through a multi-criteria method to obtain a territorialised risk index at the highest level of disaggregation of the available data, based on the dimensions of vulnerability, threat and resilience.

Keywords: risk assessment; HCVRA; social services; indicators; stakeholders; COVID-19 (search for similar items in EconPapers)
JEL-codes: A B N P Y80 Z00 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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