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Institution

Generalitat of Catalonia

GovernmentBarcelona, Spain
About: Generalitat of Catalonia is a government organization based out in Barcelona, Spain. It is known for research contribution in the topics: Population & Health care. The organization has 1965 authors who have published 2162 publications receiving 43723 citations.


Papers
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Journal ArticleDOI
TL;DR: In this article, levels of suspended particles, PM10, PM2.5 and PM1 were continuously monitored at an urban kerbside in the Metropolitan area of Barcelona from June 1999 to June 2000.

599 citations

Journal ArticleDOI
TL;DR: This study is the first to analyze the 5G conspiracy theory in the context of COVID-19 on Twitter offering practical guidance to health authorities in how, in thecontext of a pandemic, rumors may be combated in the future.
Abstract: Background: Since the beginning of December 2019, the coronavirus disease (COVID-19) has spread rapidly around the world, which has led to increased discussions across online platforms. These conversations have also included various conspiracies shared by social media users. Amongst them, a popular theory has linked 5G to the spread of COVID-19, leading to misinformation and the burning of 5G towers in the United Kingdom. The understanding of the drivers of fake news and quick policies oriented to isolate and rebate misinformation are keys to combating it. Objective: The aim of this study is to develop an understanding of the drivers of the 5G COVID-19 conspiracy theory and strategies to deal with such misinformation. Methods: This paper performs a social network analysis and content analysis of Twitter data from a 7-day period (Friday, March 27, 2020, to Saturday, April 4, 2020) in which the #5GCoronavirus hashtag was trending on Twitter in the United Kingdom. Influential users were analyzed through social network graph clusters. The size of the nodes were ranked by their betweenness centrality score, and the graph’s vertices were grouped by cluster using the Clauset-Newman-Moore algorithm. The topics and web sources used were also examined. Results: Social network analysis identified that the two largest network structures consisted of an isolates group and a broadcast group. The analysis also revealed that there was a lack of an authority figure who was actively combating such misinformation. Content analysis revealed that, of 233 sample tweets, 34.8% (n=81) contained views that 5G and COVID-19 were linked, 32.2% (n=75) denounced the conspiracy theory, and 33.0% (n=77) were general tweets not expressing any personal views or opinions. Thus, 65.2% (n=152) of tweets derived from nonconspiracy theory supporters, which suggests that, although the topic attracted high volume, only a handful of users genuinely believed the conspiracy. This paper also shows that fake news websites were the most popular web source shared by users; although, YouTube videos were also shared. The study also identified an account whose sole aim was to spread the conspiracy theory on Twitter. Conclusions: The combination of quick and targeted interventions oriented to delegitimize the sources of fake information is key to reducing their impact. Those users voicing their views against the conspiracy theory, link baiting, or sharing humorous tweets inadvertently raised the profile of the topic, suggesting that policymakers should insist in the efforts of isolating opinions that are based on fake news. Many social media platforms provide users with the ability to report inappropriate content, which should be used. This study is the first to analyze the 5G conspiracy theory in the context of COVID-19 on Twitter offering practical guidance to health authorities in how, in the context of a pandemic, rumors may be combated in the future.

474 citations

Journal ArticleDOI
TL;DR: Green spaces are associated with better general and mental health across strata of urbanization, socioeconomic status, and genders and Mechanisms other than physical activity or social support may explain these associations.

430 citations

Journal ArticleDOI
TL;DR: A combined analytical method involving toxicity and liquid chromatography-electrospray ionization-mass spectrometry (LC-ESI-MS) was developed for the determination of pharmaceutical compounds in water samples of Catalonia and the results have been compared with the developed method.

403 citations

Journal ArticleDOI
TL;DR: The ability of truncated Bid (tBid) to induce the release of a DNAse activity from mitochondria during apoptosis was confirmed in the liver from mice injected with agonistic anti-Fas antibody and is completely prevented in Bcl-2 transgenic mice.
Abstract: A hallmark of apoptosis is the fragmentation of nuclear DNA. Although this activity involves the caspase-3-dependent DNAse CAD (caspase-activated DNAse), evidence exists that DNA fragmentation can occur independently of caspase activity. Here we report on the ability of truncated Bid (tBid) to induce the release of a DNAse activity from mitochondria. This DNAse activity was identified by mass spectrometry as endonuclease G, an abundant 30 kDa protein released from mitochondria under apoptotic conditions. No tBid-induced endonuclease G release could be observed in mitochondria from Bcl-2-transgenic mice. The in vivo occurrence of endonuclease G release from mitochondria during apoptosis was confirmed in the liver from mice injected with agonistic anti-Fas antibody and is completely prevented in Bcl-2 transgenic mice. These data indicate that endonuclease G may be involved in CAD-independent DNA fragmentation during cell death pathways in which truncated Bid is generated.

341 citations


Authors

Showing all 1971 results

NameH-indexPapersCitations
Lluis Serra-Majem8351329395
Victor Moreno8063531511
Cristina Andres-Lacueva7424415242
Joaquim Segalés6840117156
Ana Martínez6269714753
Marinella Farré602039883
Pere Arús5618711114
Lluis Tort542019983
Adelino V.M. Canario522899912
Francesc Piferrer521508575
Lluís Arola492608400
Marta Sitges483428202
Albert Mas471756402
Joaquim Gutiérrez471496258
Colin Campbell4720511294
Network Information
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20228
2021156
2020149
2019129
201897
2017113