| Title: | Assortative mixing of opinions about COVID‑19 vaccination in personal networks |
|---|
| Authors: | ID Hâncean, Marian-Gabriel (Author)
ID Lerner, Jürgen (Author)
ID Perc, Matjaž (Author)
ID Molina González, José Luis (Author)
ID Geanta, Marius (Author) |
|---|
| Files: |  RAZ_Hancean_Marian-Gabriel_2024.pdf (1,32 MB)
MD5: 6B822B4A479F7382E30B676BF7D922C4
 https://doi.org/10.1038/s41598-024-53825-3
|
|---|
| Language: | English |
|---|
| Work type: | Scientific work |
|---|
| Typology: | 1.01 - Original Scientific Article |
|---|
| Organization: | FNM - Faculty of Natural Sciences and Mathematics
|
|---|
| Abstract: | 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. |
|---|
| Keywords: | assortative mixing, opinions, vaccination, personal network, social physics |
|---|
| Publication status: | Published |
|---|
| Publication version: | Version of Record |
|---|
| Submitted for review: | 21.03.2023 |
|---|
| Article acceptance date: | 05.02.2024 |
|---|
| Publication date: | 09.01.2024 |
|---|
| Publisher: | Nature Portfolio |
|---|
| Year of publishing: | 2024 |
|---|
| Number of pages: | 12 str. |
|---|
| Numbering: | Letn. 14, št. članka 3385 |
|---|
| PID: | 20.500.12556/DKUM-91195  |
|---|
| UDC: | 53 |
|---|
| ISSN on article: | 2045-2322 |
|---|
| COBISS.SI-ID: | 185730563 |
|---|
| DOI: | 10.1038/s41598-024-53825-3 |
|---|
| Publication date in DKUM: | 27.11.2024 |
|---|
| Views: | 149 |
|---|
| Downloads: | 21 |
|---|
| Metadata: |    |
|---|
| Categories: | Misc.
|
|---|
|
:
|
Copy citation |
|---|
| | | | Average score: | (0 votes) |
|---|
| Your score: | Voting is allowed only for logged in users. |
|---|
| Share: |  |
|---|
Hover the mouse pointer over a document title to show the abstract or click
on the title to get all document metadata. |
