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Izpis gradiva Pomoč

Naslov:Assortative mixing of opinions about COVID‑19 vaccination in personal networks
Avtorji:ID Hâncean, Marian-Gabriel (Avtor)
ID Lerner, Jürgen (Avtor)
ID Perc, Matjaž (Avtor)
ID Molina González, José Luis (Avtor)
ID Geanta, Marius (Avtor)
Datoteke:.pdf RAZ_Hancean_Marian-Gabriel_2024.pdf (1,32 MB)
MD5: 6B822B4A479F7382E30B676BF7D922C4
 
URL https://doi.org/10.1038/s41598-024-53825-3
 
Jezik:Angleški jezik
Vrsta gradiva:Znanstveno delo
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FNM - Fakulteta za naravoslovje in matematiko
Opis:Many countries worldwide had difculties reaching a sufciently high vaccination uptake during the COVID-19 pandemic. Given this context, we collected data from a panel of 30,000 individuals, which were representative of the population of Romania (a country in Eastern Europe with a low 42.6% vaccination rate) to determine whether people are more likely to be connected to peers displaying similar opinions about COVID-19 vaccination. We extracted 443 personal networks, amounting to 4430 alters. We estimated multilevel logistic regression models with random-ego-level intercepts to predict individual opinions about COVID-19 vaccination. Our evidence indicates positive opinions about the COVID-19 vaccination cluster. Namely, the likelihood of having a positive opinion about COVID-19 vaccination increases when peers have, on average, a more positive attitude than the rest of the nodes in the network (OR 1.31, p < 0.001). We also found that individuals with higher education and age are more likely to hold a positive opinion about COVID-19 vaccination. With the given empirical data, our study cannot reveal whether this assortative mixing of opinions is due to social infuence or social selection. However, it may nevertheless have implications for public health interventions, especially in countries that strive to reach higher uptake rates. Understanding opinions about vaccination can act as an early warning system for potential outbreaks, inform predictions about vaccination uptake, or help supply chain management for vaccine distribution.
Ključne besede:assortative mixing, opinions, vaccination, personal network, social physics
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:21.03.2023
Datum sprejetja članka:05.02.2024
Datum objave:09.01.2024
Založnik: Nature Portfolio
Leto izida:2024
Št. strani:12 str.
Številčenje:Letn. 14, št. članka 3385
PID:20.500.12556/DKUM-91195 Novo okno
UDK:53
COBISS.SI-ID:185730563 Novo okno
DOI:10.1038/s41598-024-53825-3 Novo okno
ISSN pri članku:2045-2322
Datum objave v DKUM:27.11.2024
Število ogledov:150
Število prenosov:21
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:Scientific reports
Skrajšan naslov:Sci. rep.
Založnik:Nature Publishing Group
ISSN:2045-2322
COBISS.SI-ID:18727432 Novo okno

Gradivo je financirano iz projekta

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:P1-0403-2019
Naslov:Računsko intenzivni kompleksni sistemi

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.
Začetek licenciranja:09.02.2024

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:asortativno mešanje, mnenja, cepljenje, osebno omrežje, fizika družbe


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