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  <title>DSpace Colección :</title>
  <link rel="alternate" href="http://hdl.handle.net/11531/53258" />
  <subtitle />
  <id>http://hdl.handle.net/11531/53258</id>
  <updated>2026-04-15T22:17:52Z</updated>
  <dc:date>2026-04-15T22:17:52Z</dc:date>
  <entry>
    <title>Assessing the Impact of the COVID-19 Pandemic in Spain : Large-Scale, Online, Self-Reported Population Survey</title>
    <link rel="alternate" href="http://hdl.handle.net/11531/51057" />
    <author>
      <name>Oliver, Nuria</name>
    </author>
    <author>
      <name>Barber, Xavier</name>
    </author>
    <author>
      <name>Roomp, Kirsten</name>
    </author>
    <author>
      <name>Roomp, Kristof</name>
    </author>
    <id>http://hdl.handle.net/11531/51057</id>
    <updated>2022-09-09T16:46:04Z</updated>
    <published>2020-09-10T00:00:00Z</published>
    <summary type="text">Título : Assessing the Impact of the COVID-19 Pandemic in Spain : Large-Scale, Online, Self-Reported Population Survey
Autor : Oliver, Nuria; Barber, Xavier; Roomp, Kirsten; Roomp, Kristof
Editor : Moorhead, A.; Eysenbach, G.
Resumen : Background: Spain has been one of the countries most impacted by the COVID-19 pandemic. Since the first confirmed case&#xD;
was reported on January 31, 2020, there have been over 405,000 cases and 28,000 deaths in Spain. The economic and social&#xD;
impact is without precedent. Thus, it is important to quickly assess the situation and perception of the population. Large-scale&#xD;
online surveys have been shown to be an effective tool for this purpose.&#xD;
Objective: We aim to assess the situation and perception of the Spanish population in four key areas related to the COVID-19&#xD;
pandemic: social contact behavior during confinement, personal economic impact, labor situation, and health status.&#xD;
Methods: We obtained a large sample using an online survey with 24 questions related to COVID-19 in the week of March&#xD;
28-April 2, 2020, during the peak of the first wave of COVID-19 in Spain. The self-selection online survey method of nonprobability&#xD;
sampling was used to recruit 156,614 participants via social media posts that targeted the general adult population (age &gt;18 years).&#xD;
Given such a large sample, the 95% CI was ±0.843 for all reported proportions.&#xD;
Results: Regarding social behavior during confinement, participants mainly left their homes to satisfy basic needs. We found&#xD;
several statistically significant differences in social behavior across genders and age groups. The population’s willingness to&#xD;
comply with the confinement measures is evident. From the survey answers, we identified a significant adverse economic impact&#xD;
of the pandemic on those working in small businesses and a negative correlation between economic damage and willingness to&#xD;
stay in confinement. The survey revealed that close contacts play an important role in the transmission of the disease, and 28%&#xD;
of the participants lacked the necessary resources to properly isolate themselves. We also identified a significant lack of testing,&#xD;
with only 1% of the population tested and 6% of respondents unable to be tested despite their doctor’s recommendation. We&#xD;
developed a generalized linear model to identify the variables that were correlated with a positive SARS-CoV-2 test result. Using&#xD;
this model, we estimated an average of 5% for SARS-CoV-2 prevalence in the Spanish population during the time of the study.&#xD;
A seroprevalence study carried out later by the Spanish Ministry of Health reported a similar level of disease prevalence (5%).&#xD;
Conclusions: Large-scale online population surveys, distributed via social media and online messaging platforms, can be an&#xD;
effective, cheap, and fast tool to assess the impact and prevalence of an infectious disease in the context of a pandemic, particularly&#xD;
when there is a scarcity of official data and limited testing capacity.
Descripción : Articulo de Revista</summary>
    <dc:date>2020-09-10T00:00:00Z</dc:date>
  </entry>
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