Network analysis of the relationships between conspiracy beliefs towards COVID-19 vaccine and symptoms of fear of COVID-19 in a sample of latin american countries
The present study examined how conspiracy beliefs about COVID-19 vaccines specifically relate to symptoms of fear of COVID-19 in a sample of four South American countries. A total of 1785 people from Bolivia, Colombia, Ecuador, and Peru participated, responding to a sociodemographic survey, the Fear...
- Autores:
-
Caycho-Rodríguez, Tomás
Ventura-León, José
Valencia, Pablo D.
Vilca, Lindsey W.
Carbajal-León, Carlos
Reyes-Bossio, Mario
Delgado-Campusano, Mariel
Rojas-Jara, Claudio
Polanco-Carrasco, Roberto
Gallegos, Miguel
Cervigni, Mauricio
Martino, Pablo
Palacios, Diego Alejandro
Moreta-Herrera, Rodrigo
Samaniego-Pinho, Antonio
Lobos Rivera, Marlon Elías
Buschiazzo Figares, Andrés
Puerta-Cortés, Diana Ximena
Corrales-Reyes, Ibraín Enrique
Calderón, Raymundo
Pinto Tapia, Bismarck
Arias Gallegos, Walter L.
Petzold, Olimpia
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2022
- Institución:
- Universidad de Ibagué
- Repositorio:
- Repositorio Universidad de Ibagué
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.unibague.edu.co:20.500.12313/3888
- Acceso en línea:
- https://hdl.handle.net/20.500.12313/3888
- Palabra clave:
- Network analysis
Conspiracy beliefs
Fear of COVID
Vaccines
- Rights
- openAccess
- License
- http://purl.org/coar/access_right/c_abf2
| id |
UNIBAGUE2_1a70eac4a9b11ca272f68571adba5dd2 |
|---|---|
| oai_identifier_str |
oai:repositorio.unibague.edu.co:20.500.12313/3888 |
| network_acronym_str |
UNIBAGUE2 |
| network_name_str |
Repositorio Universidad de Ibagué |
| repository_id_str |
|
| dc.title.eng.fl_str_mv |
Network analysis of the relationships between conspiracy beliefs towards COVID-19 vaccine and symptoms of fear of COVID-19 in a sample of latin american countries |
| title |
Network analysis of the relationships between conspiracy beliefs towards COVID-19 vaccine and symptoms of fear of COVID-19 in a sample of latin american countries |
| spellingShingle |
Network analysis of the relationships between conspiracy beliefs towards COVID-19 vaccine and symptoms of fear of COVID-19 in a sample of latin american countries Network analysis Conspiracy beliefs Fear of COVID Vaccines |
| title_short |
Network analysis of the relationships between conspiracy beliefs towards COVID-19 vaccine and symptoms of fear of COVID-19 in a sample of latin american countries |
| title_full |
Network analysis of the relationships between conspiracy beliefs towards COVID-19 vaccine and symptoms of fear of COVID-19 in a sample of latin american countries |
| title_fullStr |
Network analysis of the relationships between conspiracy beliefs towards COVID-19 vaccine and symptoms of fear of COVID-19 in a sample of latin american countries |
| title_full_unstemmed |
Network analysis of the relationships between conspiracy beliefs towards COVID-19 vaccine and symptoms of fear of COVID-19 in a sample of latin american countries |
| title_sort |
Network analysis of the relationships between conspiracy beliefs towards COVID-19 vaccine and symptoms of fear of COVID-19 in a sample of latin american countries |
| dc.creator.fl_str_mv |
Caycho-Rodríguez, Tomás Ventura-León, José Valencia, Pablo D. Vilca, Lindsey W. Carbajal-León, Carlos Reyes-Bossio, Mario Delgado-Campusano, Mariel Rojas-Jara, Claudio Polanco-Carrasco, Roberto Gallegos, Miguel Cervigni, Mauricio Martino, Pablo Palacios, Diego Alejandro Moreta-Herrera, Rodrigo Samaniego-Pinho, Antonio Lobos Rivera, Marlon Elías Buschiazzo Figares, Andrés Puerta-Cortés, Diana Ximena Corrales-Reyes, Ibraín Enrique Calderón, Raymundo Pinto Tapia, Bismarck Arias Gallegos, Walter L. Petzold, Olimpia |
| dc.contributor.author.none.fl_str_mv |
Caycho-Rodríguez, Tomás Ventura-León, José Valencia, Pablo D. Vilca, Lindsey W. Carbajal-León, Carlos Reyes-Bossio, Mario Delgado-Campusano, Mariel Rojas-Jara, Claudio Polanco-Carrasco, Roberto Gallegos, Miguel Cervigni, Mauricio Martino, Pablo Palacios, Diego Alejandro Moreta-Herrera, Rodrigo Samaniego-Pinho, Antonio Lobos Rivera, Marlon Elías Buschiazzo Figares, Andrés Puerta-Cortés, Diana Ximena Corrales-Reyes, Ibraín Enrique Calderón, Raymundo Pinto Tapia, Bismarck Arias Gallegos, Walter L. Petzold, Olimpia |
| dc.subject.proposal.eng.fl_str_mv |
Network analysis Conspiracy beliefs Fear of COVID Vaccines |
| topic |
Network analysis Conspiracy beliefs Fear of COVID Vaccines |
| description |
The present study examined how conspiracy beliefs about COVID-19 vaccines specifically relate to symptoms of fear of COVID-19 in a sample of four South American countries. A total of 1785 people from Bolivia, Colombia, Ecuador, and Peru participated, responding to a sociodemographic survey, the Fear of COVID-19 scale (FCV-19 S) and the Vaccine Conspiracy Beliefs Scale-COVID-19 (VCBS-COVID-19). Network analysis identified the most important symptoms of fear and conspiracy beliefs about COVID-19 vaccines (nodes) and the associations between them (edges). In addition, the robustness of the network of these indicators of centrality and the possible differences in the structure and connectivity of the networks between the four countries were evaluated. The results suggest that the nodes with the highest centrality were items 2 and 5 of the FCV-19 S and item 2 of the VCBS-COVID-19. Likewise, item 6 is the belief that most predicts conspiracy beliefs about vaccines against COVID-19; while item 6 was the symptom that most predicts fear of COVID-19. The findings strongly support cross-cultural similarities in the networks across the four countries rather than differences. Although it was expected that a higher presence of symptoms of fear of COVID-19 may lead people to compensate for their fear by believing in conspiratorial ideas about vaccines and, consequently, rejecting the COVID-19 vaccine, the results do not clearly show this relationship. This could lead other researchers to generate evidence to explain the differences between Latin American countries and countries in other contexts in terms of vaccination rates. This evidence could be useful to develop policies favoring vaccination against COVID-19 that are more contextualized to the Latin American region, characterized by social instability and economic recession during the pandemic. |
| publishDate |
2022 |
| dc.date.issued.none.fl_str_mv |
2022-09-07 |
| dc.date.accessioned.none.fl_str_mv |
2023-10-27T16:48:12Z |
| dc.date.available.none.fl_str_mv |
2023-10-27T16:48:12Z |
| dc.type.none.fl_str_mv |
Artículo de revista |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
| dc.type.coarversion.none.fl_str_mv |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |
| dc.type.content.none.fl_str_mv |
Text |
| dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.redcol.none.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
| dc.type.version.none.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
| format |
http://purl.org/coar/resource_type/c_6501 |
| status_str |
publishedVersion |
| dc.identifier.citation.none.fl_str_mv |
Caycho-Rodríguez, T., Ventura-León, J., Valencia, P.D. et al. Network analysis of the relationships between conspiracy beliefs towards COVID-19 vaccine and symptoms of fear of COVID-19 in a sample of latin american countries. Curr Psychol (2022). https://doi.org/10.1007/s12144-022-03622-w |
| dc.identifier.issn.none.fl_str_mv |
1936-4733 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12313/3888 |
| identifier_str_mv |
Caycho-Rodríguez, T., Ventura-León, J., Valencia, P.D. et al. Network analysis of the relationships between conspiracy beliefs towards COVID-19 vaccine and symptoms of fear of COVID-19 in a sample of latin american countries. Curr Psychol (2022). https://doi.org/10.1007/s12144-022-03622-w 1936-4733 |
| url |
https://hdl.handle.net/20.500.12313/3888 |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.citationendpage.none.fl_str_mv |
16 |
| dc.relation.citationstartpage.none.fl_str_mv |
1 |
| dc.relation.ispartofjournal.none.fl_str_mv |
Current Psychology |
| dc.relation.references.none.fl_str_mv |
Ahmed, W., Seguí, F. L., Vidal-Alaball, J., & Katz, M. S. (2020). Covid-19 and the “film your hospital” conspiracy theory: social network analysis of twitter data. Journal of Medical Internet Research, 22(10), e22374. https://doi.org/10.2196/22374 Ahmed, W., Vidal-Alaball, J., Downing, J., & Seguí, F. L. (2020). COVID-19 and the 5G conspiracy theory: social network analysis of Twitter data. Journal of Medical Internet Research, 22(5), e19458. https://doi.org/10.2196/19458 Ahorsu, D. K., Lin, C. Y., Imani, V., Saffari, M., Griffiths, M. D., & Pakpour, A. H. (2020). The fear of COVID-19 scale: development and initial validation. International Journal of Mental Health and Addiction, 1–9. https://doi.org/10.1007/s11469-020-00270-8 Alimoradi, Z., Broström, A., Tsang, H. W., Griffiths, M. D., Haghayegh, S., Ohayon, M. M., & Pakpour, A. H. (2021). Sleep problems during COVID-19 pandemic and its’ association to psychological distress: A systematic review and meta-analysis. EClinicalMedicine, 36, 100916. https://doi.org/10.1016/j.eclinm.2021.100916 Alvaro, P. K., Roberts, R. M., & Harris, J. K. (2013). A systematic review assessing bidirectionality between sleep disturbances, anxiety, and depression. Sleep, 36(7), 1059–1068. https://doi.org/10.1128/mbio.02979-21 Barrios, I., Ríos-González, C., O’Higgins, M., González, I., García, O., Díaz, N. R., & Torales, J. (2020). Psychometric properties of the Spanish version of the Fear of COVID-19 Scale (FCV-19S). https://doi.org/10.21203/rs.3.rs-33345/v1 Bates, B. R., Villegas-Botero, A., Costales, J. A., Moncayo, A. L., Tami, A., Carvajal, A., & Grijalva, M. J. (2022). COVID-19 Vaccine Hesitancy in Three Latin American Countries: Reasons Given for Not Becoming Vaccinated in Colombia, Ecuador, and Venezuela. Health Communication, 1–11. https://doi.org/10.1080/10410236.2022.2035943 Bendau, A., Petzold, M. B., Pyrkosch, L., Mascarell Maricic, L., Betzler, F., Rogoll, J., & Plag, J. (2021). Associations between COVID-19 related media consumption and symptoms of anxiety, depression and COVID-19 related fear in the general population in Germany. European Archives of Psychiatry and Clinical Neuroscience, 271(2), 283–291. https://doi.org/10.1007/s00406-020-01171-6 Benin, A. L., Wisler-Scher, D. J., Colson, E., Shapiro, E. D., & Holmboe, E. S. (2006). Qualitative analysis of mothers’ decision-making about vaccines for infants: the importance of trust. Pediatrics, 117(5), 1532–1541. https://doi.org/10.1542/peds.2005-1728 Bok, S., Martin, D. E., & Lee, M. (2021). Validation of the COVID-19 Disbelief Scale: Conditional indirect effects of religiosity and COVID-19 fear on intent to vaccinate. Acta Psychologica, 219, 103382. https://doi.org/10.1016/j.actpsy.2021.103382 Bereznowski, P., Bereznowska, A., Atroszko, P. A., & Konarski, R. (2021). Work Addiction and Work Engagement: a Network Approach to Cross-Cultural Data. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-021-00707-8 Bertin, P., Nera, K., & Delouvée, S. (2020). Conspiracy beliefs, rejection of vaccination, and support for hydroxychloroquine: A conceptual replication-extension in the COVID-19 pandemic context. Frontiers in Psychology, 11, 565128. https://doi.org/10.3389/fpsyg.2020.565128 Blanco, M., Kriber, N., & Cardinali, D. P. (2004). A survey of sleeping difficulties in an urban Latin American population. Revista de Neurologia, 39(2), 115–119. Boonsaeng, T., Carpio, C. E., Guerrero, P., Sarasty, O., Borja, I., Hudson, D., & Shibia, M. (2021). Perceived risks of infection, hospitalization, and death from COVID-19 at the Equator: Ecuador and Kenya. Disaster Medicine and Public Health Preparedness, 1–6. https://doi.org/10.1017/dmp.2021.268 Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16(1), 5–13. https://doi.org/10.1002/wps.20375 Borsboom, D., & Cramer, A. O. (2013). Network analysis: an integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9, 91–121. https://doi.org/10.1146/annurev-clinpsy-050212-185608 Borsboom, D., Deserno, M. K., Rhemtulla, M., Epskamp, S., Fried, E. I., McNally, R. J., & Waldorp, L. J. (2021). Network analysis of multivariate data in psychological science. Nature Reviews Methods Primers, 1(1), 1–18. https://doi.org/10.1038/s43586-021-00055-w Bouscoulet, L. T., Vázquez-García, J. C., Muiño, A., Márquez, M., López, M. V., de Oca, M. M., & Pérez-Padilla, R. (2008). Prevalence of sleep related symptoms in four Latin American cities. Journal of Clinical Sleep Medicine, 4(6), 579–585. https://doi.org/10.5664/jcsm.27353 Burger, J., Isvoranu, A. M., Lunansky, G., Haslbeck, J. M. B., Epskamp, S., Hoekstra, R. H. A., Fried, E. I., Borsboom, D., & Blanken, T. F. (2020). Reporting standards for psychological network analyses in cross-sectional data. PsyArXiv. https://doi.org/10.31234/osf.io/4y9nz Carreon, T., Rotas, E., Cahapay, M., Garcia, K., Amador, R., & Anoba, J. L. (2021). Fear of COVID-19 and Remote Teaching Burnout of Filipino K to 12 Teachers. IJERI: International Journal of Educational Research and Innovation, 15, 552–567. https://doi.org/10.46661/ijeri.5853 Caycho-Rodríguez, T., Gallegos, M., Valencia, P. D., & Vilca, L. W. (2022). ¿Cuánto apoyan los peruanos las creencias de conspiración sobre las vacunas contra la COVID-19? Atencion Primaria, 54(5), 102318. https://doi.org/10.1016/j.aprim.2022.102318 Caycho-Rodríguez, T., Gallegos, M., Valencia, P. D., Vilca, L. W., Moreta-Herrera, R., Puerta-Cortés, D. X., & Pinto Tapia, B. (2022). Creencias en teorías conspirativas sobre vacunas COVID-19 en la Comunidad Andina de Naciones. Boletín de Malariología y Salud Ambiental, 62(2), 123–128. http://www.iaes.edu.ve/iaespro/ojs/index.php/bmsa/article/view/448 Caycho-Rodríguez, T., Tomás, J. M., Vilca, L. W., Carbajal-León, C., Cervigni, M., Gallegos, M., Martino, P., Barés, I., Calandra, M., Anacona, C., López-Calle, C., Moreta-Herrera, R., Chacón-Andrade, E. R., Lobos-Rivera, M. E., Del Carpio, P., Quintero, Y., Robles, E., Lombardo, M. P., Recalde, O. G., Figares, A. B., … Videla, C. B. (2021). Socio-demographic variables, fear of CoViD-19, anxiety, and depression: prevalence, relationships and explanatory model in the general population of seven Latin American countries. Frontiers in Psychology, 12, 695989. https://doi.org/10.3389/fpsyg.2021.695989 Caycho-Rodríguez, T., Valencia, P. D., Vilca, L. W., Carbajal-León, C., Vivanco-Vidal, A., Saroli-Araníbar, D., , Reyes-Bossio, M., White, M., Rojas-Jara, C., Polanco-Carrasco, R., Gallegos, M., Cervigni, M., Martino, P., Palacios, D. A., Moreta-Herrera, R., Samaniego-Pinho, A., Rivera, M., Ferrari, I. F., Flores-Mendoza, C., Figares, A. B., … Intimayta-Escalante, C. (2022). Prevalence and predictors of intention to be vaccinated against COVID-19 in thirteen Latin American and Caribbean countries. Trends in Psychology, 1–25. https://doi.org/10.1007/s43076-022-00170-x Caycho-Rodríguez, T., Valencia, P. D., Vilca, L. W., Cervigni, M., Gallegos, M., Martino, P., Barés, I., Calandra, M., Rey Anacona, C. A., López-Calle, C., Moreta-Herrera, R., Chacón-Andrade, E. R., Lobos-Rivera, M. E., Del Carpio, P., Quintero, Y., Robles, E., Panza Lombardo, M., Gamarra Recalde, O., Buschiazzo Figares, A., White, M., ... Burgos Videla, C. (2021). Cross-cultural measurement invariance of the fear of COVID-19 scale in seven Latin American countries. Death Studies, 1–15. https://doi.org/10.1080/07481187.2021.1879318 Caycho-Rodríguez, T., Valencia, P. D., Ventura-León, J., Vilca, L. W., Carbajal-León, C., Reyes-Bossio, M., White, M., Rojas-Jara, C., Polanco-Carrasco, R., Gallegos, M., Cervigni, M., Martino, P., Palacios, D. A., Moreta-Herrera, R., Samaniego-Pinho, A., Lobos-Rivera, M. E., Figares, A. B., Puerta-Cortés, D. X., Corrales-Reyes, I. E., Calderón, R., … Petzold, O. (2022d). Design and Cross-Cultural Invariance of the COVID-19 Vaccine Conspiracy Beliefs Scale (COVID-VCBS) in 13 Latin American Countries. Frontiers in Public Health, 10, 908720–908720. https://doi.org/10.3389/fpubh.2022.908720 Caycho-Rodríguez, T., Ventura-León, J., Valencia, P. D., Vilca, L. W., Carbajal-León, C., Reyes-Bossio, M., White, M., Rojas-Jara, C., Polanco-Carrasco, R., Gallegos, M., Cervigni, M., Martino, P., Palacios, D. A., Moreta-Herrera, R., Samaniego-Pinho, A., Lobos Rivera, M. E., Buschiazzo Figares, A., Puerta-Cortés, D. X., Corrales-Reyes, I. E., ... Petzold, O. (2022). What Is the Support for Conspiracy Beliefs About COVID-19 Vaccines in Latin America? A Prospective Exploratory Study in 13 Countries. Frontiers in Psychology, 13, 855713. https://doi.org/10.3389/fpsyg.2022.855713 Chaudhary, F. A., Ahmad, B., Khalid, M. D., Fazal, A., Javaid, M. M., & Butt, D. Q. (2021). Factors influencing COVID-19 vaccine hesitancy and acceptance among the Pakistani population. Human Vaccines & Immunotherapeutics, 17(10), 3365–3370. https://doi.org/10.1080/21645515.2021.1944743 Choi, D. H., Yoo, W., Noh, G. Y., & Park, K. (2017). The impact of social media on risk perceptions during the MERS outbreak in South Korea. Computers in Human Behavior, 72, 422–431. https://doi.org/10.1016/j.chb.2017.03.004 Constantin, M., Schuurman, N. K., & Vermunt, J. (2021). A General Monte Carlo Method for Sample Size Analysis in the Context of Network Models. Psyarxiv. doi: https://doi.org/10.31234/osf.io/j5v7u Costantini, G., Richetin, J., Preti, E., Casini, E., Epskamp, S., & Perugini, M. (2019). Stability and variability of personality networks. A tutorial on recent developments in network psychometrics. Personality and Individual Differences, 136(2019), 68–78. https://doi.org/10.1016/j.paid.2017.06.011 Dafogianni, C., Mangoulia, P., Pappa, D., Xanthopoulou, P., Koutelekos, I., Zografakis-Sfakianakis, M., ... & Fasoi, G. (2022). COVID-19 Vaccination Intention Associated with Behaviors towards Protection and Perceptions Regarding the Pandemic. Journal of Personalized Medicine, 12(2), 295. https://doi.org/10.3390/jpm12020295 Desta, T. T., & Mulugeta, T. (2020). Living with COVID-19-triggered pseudoscience and conspiracies. International Journal of Public Health, 65(6), 713–714. https://doi.org/10.1007/s00038-020-01412-4 Douglas, K. M., Sutton, R. M., & Cichocka, A. (2017). The psychology of conspiracy theories. Current Directions in Psychological Science, 26(6), 538–542. https://doi.org/10.1177/0963721417718261 Douglas, K. M., Uscinski, J. E., Sutton, R. M., Cichocka, A., Nefes, T., Ang, C. S., & Deravi, F. (2019). Understanding conspiracy theories. Political Psychology, 40, 3–35. https://doi.org/10.1111/pops.12568 Duong, C. D. (2021). The impact of fear and anxiety of Covid-19 on life satisfaction: Psychological distress and sleep disturbance as mediators. Personality and Individual Differences, 178, 110869. https://doi.org/10.1016/j.paid.2021.110869 Epskamp, S., Borsboom, D., & Fried, E. I. (2018). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 50(1), 195–212. https://doi.org/10.3758/s13428-017-0862-1 Epskamp, S., & Fried, E. I. (2018). A tutorial on regularized partial correlation networks. Psychological Methods, 23(4), 617–634. https://doi.org/10.1037/met0000167 Epskamp, S., Cramer, A. O. J., Waldorp, L. J., Schmittmann, V. D., & Borsboom, D. (2012). qgraph: Network Visualizations of Relationships in Psychometric Data. Journal of Statistical Software, 48(4), https://doi.org/10.18637/jss.v048.i04 Fani, T., Saptorini, K. K., & Anggreani, A. D. (2022). The willingness of COVID-19 vaccination and associated factors: A systematic review. South Eastern European Journal of Public Health (SEEJPH). https://doi.org/10.11576/seejph-5454 Franks, B., Bangerter, A., & Bauer, M. (2013). Conspiracy theories as quasi-religious mentality: an integrated account from cognitive science, social representations theory, and frame theory. Frontiers in Psychology, 4, 424. https://doi.org/10.3389/fpsyg.2013.00424 Freeman, D., Loe, B. S., Chadwick, A., Vaccari, C., Waite, F., Rosebrock, L., & Lambe, S. (2020). COVID-19 vaccine hesitancy in the UK: the Oxford coronavirus explanations, attitudes, and narratives survey (Oceans) II. Psychological Medicine, 1–15. https://doi.org/10.1017/S0033291720005188 Fricker, R. D. Jr., Burke, K., Han, X., & Woodall, W. H. (2019). Assessing the statistical analyses used in basic and applied social psychology after their p-value ban. The American Statistician, 73(sup1), 374–384. https://doi.org/10.1080/00031305.2018.1537892 Fried, E. I., & Cramer, A. O. (2017). Moving forward: challenges and directions for psychopathological network theory and methodology. Perspectives on Psychological Science, 12(6), 999–1020. https://doi.org/10.1177/1745691617705892 Fried, E. I., & Nesse, R. M. (2015). Depression is not a consistent syndrome: an investigation of unique symptom patterns in the STAR* D study. Journal of Affective Disorders, 172, 96–102. https://doi.org/10.1016/j.jad.2014.10.010 Fried, E. I., Eidhof, M. B., Palic, S., Costantini, G., Huisman-van Dijk, H. M., Bockting, C. L., & Karstoft, K. I. (2018). Replicability and generalizability of posttraumatic stress disorder (PTSD) networks: A cross-cultural multisite study of PTSD symptoms in four trauma patient samples. Clinical Psychological Science, 6(3), 335–351. https://doi.org/10.1177/2167702617745092 Gallegos, M., Caycho-Rodríguez, T., Cervigni, M., & Martino, P. (2022). Posiciones de las sociedades de pediatría frente a la vacunación infantil COVID-19. Anales de Pediatría. https://doi.org/10.1016/j.anpedi.2022.04.008 Gallegos, M., Morgan, M. L., & Caycho-Rodríguez, T. (2022). Progress in immunization of children against Coronavirus Disease 2019: the role of pediatric societies. The Journal of Pediatrics. https://doi.org/10.1016/j.jpeds.2022.04.017 Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., & Dai, J. (2020). Mental health problems and social media exposure during COVID-19 outbreak. Plos one, 15(4), e0231924. https://doi.org/10.1371/journal.pone.0231924 Gijzen, M. W., Rasing, S. P., Creemers, D. H., Smit, F., Engels, R. C., & De Beurs, D. (2021). Suicide ideation as a symptom of adolescent depression. A network analysis. Journal of Affective Disorders, 278, 68–77. https://doi.org/10.1016/j.jad.2020.09.029 Graham, B. S. (2020). Rapid COVID-19 vaccine development. Science, 368(6494), 945–946. https://doi.org/10.1126/science.abb8923 Haslbeck, J. M. B., & Waldorp, L. J. (2018). How well do network models predict observations? On the importance of predictability in network models. Behavior Research Methods, 50(2), 853–861. https://doi.org/10.3758/s13428-017-0910-x Haslbeck, J. M. B., & Waldorp, L. J. (2020). mgm: Estimating Time-Varying Mixed Graphical Models in High-Dimensional Data. Journal of Statistical Software, 93(8), 1–46. https://doi.org/10.18637/jss.v093.i08 Hussain, S. F., Boyle, P., Patel, P., & Sullivan, R. (2016). Eradicating polio in Pakistan: an analysis of the challenges and solutions to this security and health issue. Globalization and Health, 12(1), 1–9. https://doi.org/10.1186/s12992-016-0195-3 Idrovo, A. J. (2021). More social discontent than pandemic-related risk perception in Colombia. The Lancet, 398(10296), 211. https://doi.org/10.1016/S0140-6736(21)01239-3 Islam, M. S., Kamal, A. H. M., Kabir, A., Southern, D. L., Khan, S. H., Hasan, S. M., & Seale, H. (2021). COVID-19 vaccine rumors and conspiracy theories: The need for cognitive inoculation against misinformation to improve vaccine adherence. PloS one, 16(5), e0251605. https://doi.org/10.1371/journal.pone.0251605 Jiang, W., Ren, Z., Yu, L., Tan, Y., & Shi, C. (2020). A network analysis of post-traumatic stress disorder symptoms and correlates during the CoViD-19 pandemic. Frontiers in Psychiatry, 1135. https://doi.org/10.3389/fpsyt.2020.568037 Jovančević, A., & Milićević, N. (2020). Optimism-pessimism, conspiracy theories and general trust as factors contributing to COVID-19 related behavior–A cross-cultural study. Personality and Individual Differences, 167, 110216. https://doi.org/10.1016/j.paid.2020.110216 Lazarus, J. V., Ratzan, S. C., Palayew, A., Gostin, L. O., Larson, H. J., Rabin, K., & El-Mohandes, A. (2021). A global survey of potential acceptance of a COVID-19 vaccine. Nature Medicine, 27(2), 225–228. https://doi.org/10.1038/s41591-020-1124-9 Lazarus, J. V., Ratzan, S., Palayew, A., Billari, F. C., Binagwaho, A., Kimball, S., & El-Mohandes, A. (2020). COVID-SCORE: A global survey to assess public perceptions of government responses to COVID-19 (COVID-SCORE-10). PloS one, 15(10), e0240011. https://doi.org/10.1371/journal.pone.0240011 Matranga, D., Restivo, V., Maniscalco, L., Bono, F., Pizzo, G., Lanza, G., & Miceli, S. (2020). Lifestyle medicine and psychological well-being toward health promotion: A cross-sectional study on Palermo (Southern Italy) undergraduates. International Journal of Environmental Research and Public Health, 17(15), 5444. https://doi.org/10.3390/ijerph17155444 McLean, G., Kamil, J., Lee, B., Moore, P., Schulz, T. F., Muik, A., ... & Pather, S. (2022). The impact of evolving SARS-CoV-2 mutations and variants on COVID-19 vaccines. Mbio, 13(2), e02979–21. https://doi.org/10.1128/mbio.02979-21 McNally, R. J., Robinaugh, D. J., Wu, G. W., Wang, L., Deserno, M. K., & Borsboom, D. (2015). Mental disorders as causal systems: A network approach to posttraumatic stress disorder. Clinical Psychological Science, 3(6), 836–849. https://doi.org/10.1177/2167702614553230 Mertens, G., Duijndam, S., Smeets, T., & Lodder, P. (2021). The latent and item structure of COVID-19 fear: A comparison of four COVID-19 fear questionnaires using SEM and network analyses. Journal of Anxiety Disorders, 81, 102415. https://doi.org/10.1016/j.janxdis.2021.102415 Monge-Rodríguez, F. S., Jiang, H., Zhang, L., Alvarado-Yepez, A., Cardona-Rivero, A., Huaman-Chulluncuy, E., & Torres-Mejía, A. (2021). Psychological Factors Affecting Risk Perception of COVID-19: Evidence from Peru and China. International Journal of Environmental Research and Public Health, 18(12), 6513. https://doi.org/10.3390/ijerph18126513 Moya-Salazar, J., Cañari, B., & Contreras-Pulache, H. (2022). How much Fear of COVID-19 is There in Latin America? A Prospective Exploratory Study in Six Countries. Electronic Journal in General Medicine, 19(1), em339. https://doi.org/10.29333/ejgm/11401 Mullarkey, M. C., Marchetti, I., & Beevers, C. G. (2019). Using network analysis to identify central symptoms of adolescent depression. Journal of Clinical Child & Adolescent Psychology, 48(4), 656–668. https://doi.org/10.1080/15374416.2018.1437735 Naeem, M. (2021). Do social media platforms develop consumer panic buying during the fear of Covid-19 pandemic. Journal of Retailing and Consumer Services, 58, 102226. https://doi.org/10.1016/j.jretconser.2020.102226 Narmandakh, A., Roest, A. M., de Jonge, P., & Oldehinkel, A. J. (2020). The bidirectional association between sleep problems and anxiety symptoms in adolescents: a TRAILS report. Sleep Medicine, 67, 39–46. https://doi.org/10.1016/j.sleep.2019.10.018 Neria, Y., & Sullivan, G. M. (2011). Understanding the mental health effects of indirect exposure to mass trauma through the media. Journal Of The American Medical Association, 306(12), 1374–1375. https://doi.org/10.1001/jama.2011.1358 Neumann-Böhme, S., Varghese, N. E., Sabat, I., Barros, P. P., Brouwer, W., van Exel, J., & Stargardt, T. (2020). Once we have it, will we use it? A European survey on willingness to be vaccinated against COVID-19. The European Journal of Health Economics, 21(7), 977–982. https://doi.org/10.1007/s10198-020-01208-6 O’Brien, N., Barboza-Palomino, M., Ventura-León, J., Caycho-Rodríguez, T., Sandoval-Díaz, J. S., López-López, W., & Salas, G. (2020). Nuevo coronavirus (COVID-19). Un análisis bibliométrico. Revista chilena de anestesia, 49(3), 408–415. https://doi.org/10.25237/revchilanestv49n03.020 Ortiz-Sánchez, E., Velando-Soriano, A., Pradas-Hernández, L., Vargas-Román, K., Gómez-Urquiza, J. L., Cañadas-De la Fuente, G. A., & Albendín-García, L. (2020). Analysis of the anti-vaccine movement in social networks: a systematic review. International Journal of Environmental Research and Public Health, 17(15), 5394. https://doi.org/10.3390/ijerph17155394 Ramos-Vera, C. A. (2020). Miedo a la COVID-19 en adultos peruanos mediante análisis de red.Revista Cubana de Enfermería,36. http://www.revenfermeria.sld.cu/index.php/enf/article/viewFile/4082/664 Ramos-Vera, C., Banos-Chaparro, J., & Ogundokun, R. O. (2021). The network structure of depressive symptomatology in Peruvian adults with arterial hypertension. F1000Research, 10, 19. https://doi.org/10.12688/f1000research.27422.2 Robinaugh, D. J., Hoekstra, R. H., Toner, E. R., & Borsboom, D. (2020). The network approach to psychopathology: a review of the literature 2008–2018 and an agenda for future research. Psychological Medicine, 50(3), 353–366. https://doi.org/10.1017/S0033291719003404 Roy, D., Tripathy, S., Kar, S. K., Sharma, N., Verma, S. K., & Kaushal, V. (2020). Study of knowledge, attitude, anxiety & perceived mental healthcare need in Indian population during COVID-19 pandemic. Asian journal of psychiatry, 51, 102083. https://doi.org/10.1016/j.ajp.2020.102083 RStudio Team (2022). RStudio: Integrated Development for R. RStudio, PBC, Boston, MA, 2022. Rubin, G. J., & Wessely, S. (2020). The psychological effects of quarantining a city. Bmj, 368. https://doi.org/10.1136/bmj.m313 Rudan, I., Adeloye, D., Katikireddi, V., Murray, J., Simpson, C., Shah, S. A., Robertson, C., Sheikh, A., & EAVE II collaboration (2021). The COVID-19 pandemic in children and young people during 2020-2021: A complex discussion on vaccination. Journal of global health, 11, 01011. https://doi.org/10.7189/jogh.11.01011 Sallam, M. (2021). COVID-19 vaccine hesitancy worldwide: a concise systematic review of vaccine acceptance rates. Vaccines, 9(2), 160. https://doi.org/10.3390/vaccines9020160 Sallam, M., Dababseh, D., Eid, H., Al-Mahzoum, K., Al-Haidar, A., Taim, D., & Mahafzah, A. (2021). High rates of COVID-19 vaccine hesitancy and its association with conspiracy beliefs: a study in Jordan and Kuwait among other Arab countries. Vaccines, 9(1), 42. https://doi.org/10.3390/vaccines9010042 Scrima, F., Miceli, S., Caci, B., & Cardaci, M. (2022). The relationship between fear of COVID-19 and intention to get vaccinated. The serial mediation roles of existential anxiety and conspiracy beliefs. Personality and Individual Differences, 184, 111188. https://doi.org/10.1016/j.paid.2021.111188 Seddig, D., Maskileyson, D., Davidov, E., Ajzen, I., & Schmidt, P. (2022). Correlates of COVID-19 vaccination intentions: Attitudes, institutional trust, fear, conspiracy beliefs, and vaccine skepticism. Social Science & Medicine, 114981. https://doi.org/10.1016/j.socscimed.2022.114981 Siddique, R. F., Ahmed, O., & Hossain, K. N. (2021). Relationship between the fear of COVID-19 disease and sleep quality: The mediating role of stress. Heliyon, 7(5), e07033. https://doi.org/10.1016/j.heliyon.2021.e07033 Stephens, M. (2020). A geospatial infodemic: Mapping Twitter conspiracy theories of COVID-19. Dialogues in Human Geography, 10(2), 276–281. https://doi.org/10.1177/2043820620935683 Taylor, S. (2019). The psychology of pandemics: Preparing for the next global outbreak of infectious disease. Cambridge scholars publishing. Taylor, S., & Asmundson, G. (2004). Treating health anxiety: A cognitive-behavioral approach. New York: Guilford. Taylor, S., Landry, C. A., Paluszek, M. M., Fergus, T. A., McKay, D., & Asmundson, G. J. (2020). COVID stress syndrome: Concept, structure, and correlates. Depression and Anxiety, 37(8), 706–714. https://doi.org/10.1002/da.23071 Tegally, H., Moir, M., Everatt, J., Giovanetti, M., Scheepers, C., Wilkinson, E., ... & de Oliveira, T. (2022). Emergence of SARS-CoV-2 Omicron lineages BA. 4 and BA. 5 in South Africa. Nature Medicine, 1–6. https://doi.org/10.1038/s41591-022-01911-2 Ullah, I., Khan, K. S., Tahir, M. J., Ahmed, A., & Harapan, H. (2021). Myths and conspiracy theories on vaccines and COVID-19: Potential effect on global vaccine refusals. Vacunas, 22(2), 93–97. https://doi.org/10.1016/j.vacun.2021.01.001 Urrunaga-Pastor, D., Bendezu-Quispe, G., Herrera-Añazco, P., Uyen-Cateriano, A., Toro-Huamanchumo, C. J., Rodriguez-Morales, A. J., & Benites-Zapata, V. A. (2021). Cross-sectional analysis of COVID-19 vaccine intention, perceptions and hesitancy across Latin America and the Caribbean. Travel Medicine and Infectious Disease, 41, 102059. https://doi.org/10.1016/j.tmaid.2021.102059 van Borkulo, C. D., van Bork, R., Boschloo, L., Kossakowski, J. J., Tio, P., Schoevers, R. A., Borsboom, D., & Waldorp, L. J. (2022). Comparing network structures on three aspects: A permutation test. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000476 Van Prooijen, J. W. (2018). The psychology of conspiracy theories. Routledge. Van Prooijen, J. W., & Douglas, K. M. (2017). Conspiracy theories as part of history: The role of societal crisis situations. Memory Studies, 10(3), 323–333. https://doi.org/10.1177/1750698017701615 Wang, C., & Han, J. (2022). Will the COVID-19 pandemic end with the Delta and Omicron variants?. Environmental Chemistry Letters, 20, 2210–2225. https://doi.org/10.1007/s10311-021-01369-7 Wheaton, M. G., Prikhidko, A., & Messner, G. R. (2021). Is fear of COVID-19 contagious? The effects of emotion contagion and social media use on anxiety in response to the coronavirus pandemic. Frontiers in Psychology, 11, 3594. https://doi.org/10.3389/fpsyg.2020.567379 Wonodi, C., Obi-Jeff, C., Adewumi, F., Keluo-Udeke, S. C., Gur-Arie, R., Krubiner, C., & Faden, R. (2022). Conspiracy theories and misinformation about COVID-19 in Nigeria: Implications for vaccine demand generation communications. Vaccine, 40(13), 2114–2121. https://doi.org/10.1016/j.vaccine.2022.02.005 World Medical Association (1964). Declaración de Helsinki. http://www.conamed.gob.mx/prof_salud/pdf/helsinki.pdf Yuksel, D., McKee, G. B., Perrin, P. B., Alzueta, E., Caffarra, S., Ramos-Usuga, D., & Baker, F. C. (2021). Sleeping when the world locks down: Correlates of sleep health during the COVID-19 pandemic across 59 countries. Sleep Health, 7(2), 134–142. https://doi.org/10.1016/j.sleh.2020.12.008 Zavlis, O., Butter, S., Bennett, K., Hartman, T. K., Hyland, P., Mason, L., & Bentall, R. P. (2021). How does the COVID-19 pandemic impact on population mental health? A network analysis of COVID influences on depression, anxiety and traumatic stress in the UK population. Psychological Medicine, 1–9. https://doi.org/10.1017/S0033291721000635 Zeballos Rivas, D. R., Lopez Jaldin, M. L., Canaviri, N., Portugal Escalante, B., Fernández, L. F. A., A. M., & Ticona, A., J. P (2021). Social media exposure, risk perception, preventive behaviors and attitudes during the COVID-19 epidemic in La Paz, Bolivia: A cross sectional study. PloS one, 16(1), e0245859. https://doi.org/10.1371/journal.pone.0245859 |
| dc.rights.accessrights.none.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.coar.none.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| dc.rights.license.none.fl_str_mv |
Atribución 4.0 Internacional (CC BY 4.0) |
| dc.rights.uri.none.fl_str_mv |
https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| eu_rights_str_mv |
openAccess |
| rights_invalid_str_mv |
http://purl.org/coar/access_right/c_abf2 Atribución 4.0 Internacional (CC BY 4.0) https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.format.extent.none.fl_str_mv |
1 página |
| dc.format.mimetype.none.fl_str_mv |
application/pdf |
| dc.publisher.place.none.fl_str_mv |
United States |
| dc.source.none.fl_str_mv |
https://link.springer.com/article/10.1007/s12144-022-03622-w#citeas |
| institution |
Universidad de Ibagué |
| bitstream.url.fl_str_mv |
https://repositorio.unibague.edu.co/bitstreams/471a3c2b-e200-4457-a172-bc9be78c9efd/download https://repositorio.unibague.edu.co/bitstreams/edeecee1-703b-4c1c-81ca-2fcf0f5ae692/download https://repositorio.unibague.edu.co/bitstreams/011c416a-7a68-47ec-942a-8fb4966da19d/download https://repositorio.unibague.edu.co/bitstreams/46087709-8805-4e57-bb25-d2cbd1daaa23/download |
| bitstream.checksum.fl_str_mv |
076e19bea75772290294488d14167734 5ecefb154b361a54a289baa09063ea4f 2fa3e590786b9c0f3ceba1b9656b7ac3 7292f557ec2edd1b9397a83f5697d09a |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio Institucional Universidad de Ibagué |
| repository.mail.fl_str_mv |
bdigital@metabiblioteca.com |
| _version_ |
1814204119038033920 |
| spelling |
Caycho-Rodríguez, Tomás4f9cc0a5-f1c8-4214-8e5e-9fa047f25600-1Ventura-León, José8a8217c5-e3b4-448e-809a-f6508939efd7-1Valencia, Pablo D.acf4d825-d49a-40ad-a9bd-a01edf344a8a-1Vilca, Lindsey W.f6ae1777-2153-4cab-ad39-d1e3ae827538-1Carbajal-León, Carlos931e4351-7d9b-49b1-956b-0133870f37c2-1Reyes-Bossio, Mario3e502507-1388-425d-8dc2-d5eecbfd551f-1Delgado-Campusano, Mariel98d25625-6b8f-461f-9d70-b4c3586254b1-1Rojas-Jara, Claudiodf2ba822-c82e-4279-aa4b-c198ad6781e3-1Polanco-Carrasco, Roberto85b10d7b-e131-49d3-8d38-93e6a6e3ac7f-1Gallegos, Miguel80ac4243-7407-4d51-93e0-0eb35bf0eaeb-1Cervigni, Mauricio493a3a70-cc69-4b6e-a78f-e861cb5afc42-1Martino, Pabloa4b33fb3-e72b-4490-a320-327e12a78249-1Palacios, Diego Alejandro2eb894f5-edbd-47a8-8819-c5b51b98a228-1Moreta-Herrera, Rodrigo7e895ef7-527a-4c26-bff0-9c065fc47a52-1Samaniego-Pinho, Antonio62e9895c-9dda-4f7d-a56b-447c0f595191-1Lobos Rivera, Marlon Elías122aa1bc-4bfc-48f9-9281-1412ef59fe4c-1Buschiazzo Figares, Andrés9695260b-7eb8-4e7d-930b-31ef6b5e4230-1Puerta-Cortés, Diana Ximenab85e87fc-8842-4733-9405-b4ea8a1a2a39-1Corrales-Reyes, Ibraín Enrique85bce143-0b7b-40b2-b9dc-009fa2896ea8-1Calderón, Raymundo379848b5-9abd-427e-b384-ecb6659c49df-1Pinto Tapia, Bismarckd2348616-7bad-4a66-bb76-ed6cd379f746-1Arias Gallegos, Walter L.6747c234-196a-4e88-a954-95b50c670a1f-1Petzold, Olimpia78939b19-1e8e-4092-aad9-b137f776dac7-12023-10-27T16:48:12Z2023-10-27T16:48:12Z2022-09-07The present study examined how conspiracy beliefs about COVID-19 vaccines specifically relate to symptoms of fear of COVID-19 in a sample of four South American countries. A total of 1785 people from Bolivia, Colombia, Ecuador, and Peru participated, responding to a sociodemographic survey, the Fear of COVID-19 scale (FCV-19 S) and the Vaccine Conspiracy Beliefs Scale-COVID-19 (VCBS-COVID-19). Network analysis identified the most important symptoms of fear and conspiracy beliefs about COVID-19 vaccines (nodes) and the associations between them (edges). In addition, the robustness of the network of these indicators of centrality and the possible differences in the structure and connectivity of the networks between the four countries were evaluated. The results suggest that the nodes with the highest centrality were items 2 and 5 of the FCV-19 S and item 2 of the VCBS-COVID-19. Likewise, item 6 is the belief that most predicts conspiracy beliefs about vaccines against COVID-19; while item 6 was the symptom that most predicts fear of COVID-19. The findings strongly support cross-cultural similarities in the networks across the four countries rather than differences. Although it was expected that a higher presence of symptoms of fear of COVID-19 may lead people to compensate for their fear by believing in conspiratorial ideas about vaccines and, consequently, rejecting the COVID-19 vaccine, the results do not clearly show this relationship. This could lead other researchers to generate evidence to explain the differences between Latin American countries and countries in other contexts in terms of vaccination rates. This evidence could be useful to develop policies favoring vaccination against COVID-19 that are more contextualized to the Latin American region, characterized by social instability and economic recession during the pandemic.1 páginaapplication/pdfCaycho-Rodríguez, T., Ventura-León, J., Valencia, P.D. et al. Network analysis of the relationships between conspiracy beliefs towards COVID-19 vaccine and symptoms of fear of COVID-19 in a sample of latin american countries. Curr Psychol (2022). https://doi.org/10.1007/s12144-022-03622-w1936-4733https://hdl.handle.net/20.500.12313/3888engUnited States161Current PsychologyAhmed, W., Seguí, F. L., Vidal-Alaball, J., & Katz, M. S. (2020). Covid-19 and the “film your hospital” conspiracy theory: social network analysis of twitter data. Journal of Medical Internet Research, 22(10), e22374. https://doi.org/10.2196/22374Ahmed, W., Vidal-Alaball, J., Downing, J., & Seguí, F. L. (2020). COVID-19 and the 5G conspiracy theory: social network analysis of Twitter data. Journal of Medical Internet Research, 22(5), e19458. https://doi.org/10.2196/19458Ahorsu, D. K., Lin, C. Y., Imani, V., Saffari, M., Griffiths, M. D., & Pakpour, A. H. (2020). The fear of COVID-19 scale: development and initial validation. International Journal of Mental Health and Addiction, 1–9. https://doi.org/10.1007/s11469-020-00270-8Alimoradi, Z., Broström, A., Tsang, H. W., Griffiths, M. D., Haghayegh, S., Ohayon, M. M., & Pakpour, A. H. (2021). Sleep problems during COVID-19 pandemic and its’ association to psychological distress: A systematic review and meta-analysis. EClinicalMedicine, 36, 100916. https://doi.org/10.1016/j.eclinm.2021.100916Alvaro, P. K., Roberts, R. M., & Harris, J. K. (2013). A systematic review assessing bidirectionality between sleep disturbances, anxiety, and depression. Sleep, 36(7), 1059–1068. https://doi.org/10.1128/mbio.02979-21Barrios, I., Ríos-González, C., O’Higgins, M., González, I., García, O., Díaz, N. R., & Torales, J. (2020). Psychometric properties of the Spanish version of the Fear of COVID-19 Scale (FCV-19S). https://doi.org/10.21203/rs.3.rs-33345/v1Bates, B. R., Villegas-Botero, A., Costales, J. A., Moncayo, A. L., Tami, A., Carvajal, A., & Grijalva, M. J. (2022). COVID-19 Vaccine Hesitancy in Three Latin American Countries: Reasons Given for Not Becoming Vaccinated in Colombia, Ecuador, and Venezuela. Health Communication, 1–11. https://doi.org/10.1080/10410236.2022.2035943Bendau, A., Petzold, M. B., Pyrkosch, L., Mascarell Maricic, L., Betzler, F., Rogoll, J., & Plag, J. (2021). Associations between COVID-19 related media consumption and symptoms of anxiety, depression and COVID-19 related fear in the general population in Germany. European Archives of Psychiatry and Clinical Neuroscience, 271(2), 283–291. https://doi.org/10.1007/s00406-020-01171-6Benin, A. L., Wisler-Scher, D. J., Colson, E., Shapiro, E. D., & Holmboe, E. S. (2006). Qualitative analysis of mothers’ decision-making about vaccines for infants: the importance of trust. Pediatrics, 117(5), 1532–1541. https://doi.org/10.1542/peds.2005-1728Bok, S., Martin, D. E., & Lee, M. (2021). Validation of the COVID-19 Disbelief Scale: Conditional indirect effects of religiosity and COVID-19 fear on intent to vaccinate. Acta Psychologica, 219, 103382. https://doi.org/10.1016/j.actpsy.2021.103382Bereznowski, P., Bereznowska, A., Atroszko, P. A., & Konarski, R. (2021). Work Addiction and Work Engagement: a Network Approach to Cross-Cultural Data. International Journal of Mental Health and Addiction. https://doi.org/10.1007/s11469-021-00707-8Bertin, P., Nera, K., & Delouvée, S. (2020). Conspiracy beliefs, rejection of vaccination, and support for hydroxychloroquine: A conceptual replication-extension in the COVID-19 pandemic context. Frontiers in Psychology, 11, 565128. https://doi.org/10.3389/fpsyg.2020.565128Blanco, M., Kriber, N., & Cardinali, D. P. (2004). A survey of sleeping difficulties in an urban Latin American population. Revista de Neurologia, 39(2), 115–119.Boonsaeng, T., Carpio, C. E., Guerrero, P., Sarasty, O., Borja, I., Hudson, D., & Shibia, M. (2021). Perceived risks of infection, hospitalization, and death from COVID-19 at the Equator: Ecuador and Kenya. Disaster Medicine and Public Health Preparedness, 1–6. https://doi.org/10.1017/dmp.2021.268Borsboom, D. (2017). A network theory of mental disorders. World Psychiatry, 16(1), 5–13. https://doi.org/10.1002/wps.20375Borsboom, D., & Cramer, A. O. (2013). Network analysis: an integrative approach to the structure of psychopathology. Annual Review of Clinical Psychology, 9, 91–121. https://doi.org/10.1146/annurev-clinpsy-050212-185608Borsboom, D., Deserno, M. K., Rhemtulla, M., Epskamp, S., Fried, E. I., McNally, R. J., & Waldorp, L. J. (2021). Network analysis of multivariate data in psychological science. Nature Reviews Methods Primers, 1(1), 1–18. https://doi.org/10.1038/s43586-021-00055-wBouscoulet, L. T., Vázquez-García, J. C., Muiño, A., Márquez, M., López, M. V., de Oca, M. M., & Pérez-Padilla, R. (2008). Prevalence of sleep related symptoms in four Latin American cities. Journal of Clinical Sleep Medicine, 4(6), 579–585. https://doi.org/10.5664/jcsm.27353Burger, J., Isvoranu, A. M., Lunansky, G., Haslbeck, J. M. B., Epskamp, S., Hoekstra, R. H. A., Fried, E. I., Borsboom, D., & Blanken, T. F. (2020). Reporting standards for psychological network analyses in cross-sectional data. PsyArXiv. https://doi.org/10.31234/osf.io/4y9nzCarreon, T., Rotas, E., Cahapay, M., Garcia, K., Amador, R., & Anoba, J. L. (2021). Fear of COVID-19 and Remote Teaching Burnout of Filipino K to 12 Teachers. IJERI: International Journal of Educational Research and Innovation, 15, 552–567. https://doi.org/10.46661/ijeri.5853Caycho-Rodríguez, T., Gallegos, M., Valencia, P. D., & Vilca, L. W. (2022). ¿Cuánto apoyan los peruanos las creencias de conspiración sobre las vacunas contra la COVID-19? Atencion Primaria, 54(5), 102318. https://doi.org/10.1016/j.aprim.2022.102318Caycho-Rodríguez, T., Gallegos, M., Valencia, P. D., Vilca, L. W., Moreta-Herrera, R., Puerta-Cortés, D. X., & Pinto Tapia, B. (2022). Creencias en teorías conspirativas sobre vacunas COVID-19 en la Comunidad Andina de Naciones. Boletín de Malariología y Salud Ambiental, 62(2), 123–128. http://www.iaes.edu.ve/iaespro/ojs/index.php/bmsa/article/view/448Caycho-Rodríguez, T., Tomás, J. M., Vilca, L. W., Carbajal-León, C., Cervigni, M., Gallegos, M., Martino, P., Barés, I., Calandra, M., Anacona, C., López-Calle, C., Moreta-Herrera, R., Chacón-Andrade, E. R., Lobos-Rivera, M. E., Del Carpio, P., Quintero, Y., Robles, E., Lombardo, M. P., Recalde, O. G., Figares, A. B., … Videla, C. B. (2021). Socio-demographic variables, fear of CoViD-19, anxiety, and depression: prevalence, relationships and explanatory model in the general population of seven Latin American countries. Frontiers in Psychology, 12, 695989. https://doi.org/10.3389/fpsyg.2021.695989Caycho-Rodríguez, T., Valencia, P. D., Vilca, L. W., Carbajal-León, C., Vivanco-Vidal, A., Saroli-Araníbar, D., , Reyes-Bossio, M., White, M., Rojas-Jara, C., Polanco-Carrasco, R., Gallegos, M., Cervigni, M., Martino, P., Palacios, D. A., Moreta-Herrera, R., Samaniego-Pinho, A., Rivera, M., Ferrari, I. F., Flores-Mendoza, C., Figares, A. B., … Intimayta-Escalante, C. (2022). Prevalence and predictors of intention to be vaccinated against COVID-19 in thirteen Latin American and Caribbean countries. Trends in Psychology, 1–25. https://doi.org/10.1007/s43076-022-00170-xCaycho-Rodríguez, T., Valencia, P. D., Vilca, L. W., Cervigni, M., Gallegos, M., Martino, P., Barés, I., Calandra, M., Rey Anacona, C. A., López-Calle, C., Moreta-Herrera, R., Chacón-Andrade, E. R., Lobos-Rivera, M. E., Del Carpio, P., Quintero, Y., Robles, E., Panza Lombardo, M., Gamarra Recalde, O., Buschiazzo Figares, A., White, M., ... Burgos Videla, C. (2021). Cross-cultural measurement invariance of the fear of COVID-19 scale in seven Latin American countries. Death Studies, 1–15. https://doi.org/10.1080/07481187.2021.1879318Caycho-Rodríguez, T., Valencia, P. D., Ventura-León, J., Vilca, L. W., Carbajal-León, C., Reyes-Bossio, M., White, M., Rojas-Jara, C., Polanco-Carrasco, R., Gallegos, M., Cervigni, M., Martino, P., Palacios, D. A., Moreta-Herrera, R., Samaniego-Pinho, A., Lobos-Rivera, M. E., Figares, A. B., Puerta-Cortés, D. X., Corrales-Reyes, I. E., Calderón, R., … Petzold, O. (2022d). Design and Cross-Cultural Invariance of the COVID-19 Vaccine Conspiracy Beliefs Scale (COVID-VCBS) in 13 Latin American Countries. Frontiers in Public Health, 10, 908720–908720. https://doi.org/10.3389/fpubh.2022.908720Caycho-Rodríguez, T., Ventura-León, J., Valencia, P. D., Vilca, L. W., Carbajal-León, C., Reyes-Bossio, M., White, M., Rojas-Jara, C., Polanco-Carrasco, R., Gallegos, M., Cervigni, M., Martino, P., Palacios, D. A., Moreta-Herrera, R., Samaniego-Pinho, A., Lobos Rivera, M. E., Buschiazzo Figares, A., Puerta-Cortés, D. X., Corrales-Reyes, I. E., ... Petzold, O. (2022). What Is the Support for Conspiracy Beliefs About COVID-19 Vaccines in Latin America? A Prospective Exploratory Study in 13 Countries. Frontiers in Psychology, 13, 855713. https://doi.org/10.3389/fpsyg.2022.855713Chaudhary, F. A., Ahmad, B., Khalid, M. D., Fazal, A., Javaid, M. M., & Butt, D. Q. (2021). Factors influencing COVID-19 vaccine hesitancy and acceptance among the Pakistani population. Human Vaccines & Immunotherapeutics, 17(10), 3365–3370. https://doi.org/10.1080/21645515.2021.1944743Choi, D. H., Yoo, W., Noh, G. Y., & Park, K. (2017). The impact of social media on risk perceptions during the MERS outbreak in South Korea. Computers in Human Behavior, 72, 422–431. https://doi.org/10.1016/j.chb.2017.03.004Constantin, M., Schuurman, N. K., & Vermunt, J. (2021). A General Monte Carlo Method for Sample Size Analysis in the Context of Network Models. Psyarxiv. doi: https://doi.org/10.31234/osf.io/j5v7uCostantini, G., Richetin, J., Preti, E., Casini, E., Epskamp, S., & Perugini, M. (2019). Stability and variability of personality networks. A tutorial on recent developments in network psychometrics. Personality and Individual Differences, 136(2019), 68–78. https://doi.org/10.1016/j.paid.2017.06.011Dafogianni, C., Mangoulia, P., Pappa, D., Xanthopoulou, P., Koutelekos, I., Zografakis-Sfakianakis, M., ... & Fasoi, G. (2022). COVID-19 Vaccination Intention Associated with Behaviors towards Protection and Perceptions Regarding the Pandemic. Journal of Personalized Medicine, 12(2), 295. https://doi.org/10.3390/jpm12020295Desta, T. T., & Mulugeta, T. (2020). Living with COVID-19-triggered pseudoscience and conspiracies. International Journal of Public Health, 65(6), 713–714. https://doi.org/10.1007/s00038-020-01412-4Douglas, K. M., Sutton, R. M., & Cichocka, A. (2017). The psychology of conspiracy theories. Current Directions in Psychological Science, 26(6), 538–542. https://doi.org/10.1177/0963721417718261Douglas, K. M., Uscinski, J. E., Sutton, R. M., Cichocka, A., Nefes, T., Ang, C. S., & Deravi, F. (2019). Understanding conspiracy theories. Political Psychology, 40, 3–35. https://doi.org/10.1111/pops.12568Duong, C. D. (2021). The impact of fear and anxiety of Covid-19 on life satisfaction: Psychological distress and sleep disturbance as mediators. Personality and Individual Differences, 178, 110869. https://doi.org/10.1016/j.paid.2021.110869Epskamp, S., Borsboom, D., & Fried, E. I. (2018). Estimating psychological networks and their accuracy: A tutorial paper. Behavior Research Methods, 50(1), 195–212. https://doi.org/10.3758/s13428-017-0862-1Epskamp, S., & Fried, E. I. (2018). A tutorial on regularized partial correlation networks. Psychological Methods, 23(4), 617–634. https://doi.org/10.1037/met0000167Epskamp, S., Cramer, A. O. J., Waldorp, L. J., Schmittmann, V. D., & Borsboom, D. (2012). qgraph: Network Visualizations of Relationships in Psychometric Data. Journal of Statistical Software, 48(4), https://doi.org/10.18637/jss.v048.i04Fani, T., Saptorini, K. K., & Anggreani, A. D. (2022). The willingness of COVID-19 vaccination and associated factors: A systematic review. South Eastern European Journal of Public Health (SEEJPH). https://doi.org/10.11576/seejph-5454Franks, B., Bangerter, A., & Bauer, M. (2013). Conspiracy theories as quasi-religious mentality: an integrated account from cognitive science, social representations theory, and frame theory. Frontiers in Psychology, 4, 424. https://doi.org/10.3389/fpsyg.2013.00424Freeman, D., Loe, B. S., Chadwick, A., Vaccari, C., Waite, F., Rosebrock, L., & Lambe, S. (2020). COVID-19 vaccine hesitancy in the UK: the Oxford coronavirus explanations, attitudes, and narratives survey (Oceans) II. Psychological Medicine, 1–15. https://doi.org/10.1017/S0033291720005188Fricker, R. D. Jr., Burke, K., Han, X., & Woodall, W. H. (2019). Assessing the statistical analyses used in basic and applied social psychology after their p-value ban. The American Statistician, 73(sup1), 374–384. https://doi.org/10.1080/00031305.2018.1537892Fried, E. I., & Cramer, A. O. (2017). Moving forward: challenges and directions for psychopathological network theory and methodology. Perspectives on Psychological Science, 12(6), 999–1020. https://doi.org/10.1177/1745691617705892Fried, E. I., & Nesse, R. M. (2015). Depression is not a consistent syndrome: an investigation of unique symptom patterns in the STAR* D study. Journal of Affective Disorders, 172, 96–102. https://doi.org/10.1016/j.jad.2014.10.010Fried, E. I., Eidhof, M. B., Palic, S., Costantini, G., Huisman-van Dijk, H. M., Bockting, C. L., & Karstoft, K. I. (2018). Replicability and generalizability of posttraumatic stress disorder (PTSD) networks: A cross-cultural multisite study of PTSD symptoms in four trauma patient samples. Clinical Psychological Science, 6(3), 335–351. https://doi.org/10.1177/2167702617745092Gallegos, M., Caycho-Rodríguez, T., Cervigni, M., & Martino, P. (2022). Posiciones de las sociedades de pediatría frente a la vacunación infantil COVID-19. Anales de Pediatría. https://doi.org/10.1016/j.anpedi.2022.04.008Gallegos, M., Morgan, M. L., & Caycho-Rodríguez, T. (2022). Progress in immunization of children against Coronavirus Disease 2019: the role of pediatric societies. The Journal of Pediatrics. https://doi.org/10.1016/j.jpeds.2022.04.017Gao, J., Zheng, P., Jia, Y., Chen, H., Mao, Y., Chen, S., & Dai, J. (2020). Mental health problems and social media exposure during COVID-19 outbreak. Plos one, 15(4), e0231924. https://doi.org/10.1371/journal.pone.0231924Gijzen, M. W., Rasing, S. P., Creemers, D. H., Smit, F., Engels, R. C., & De Beurs, D. (2021). Suicide ideation as a symptom of adolescent depression. A network analysis. Journal of Affective Disorders, 278, 68–77. https://doi.org/10.1016/j.jad.2020.09.029Graham, B. S. (2020). Rapid COVID-19 vaccine development. Science, 368(6494), 945–946. https://doi.org/10.1126/science.abb8923Haslbeck, J. M. B., & Waldorp, L. J. (2018). How well do network models predict observations? On the importance of predictability in network models. Behavior Research Methods, 50(2), 853–861. https://doi.org/10.3758/s13428-017-0910-xHaslbeck, J. M. B., & Waldorp, L. J. (2020). mgm: Estimating Time-Varying Mixed Graphical Models in High-Dimensional Data. Journal of Statistical Software, 93(8), 1–46. https://doi.org/10.18637/jss.v093.i08Hussain, S. F., Boyle, P., Patel, P., & Sullivan, R. (2016). Eradicating polio in Pakistan: an analysis of the challenges and solutions to this security and health issue. Globalization and Health, 12(1), 1–9. https://doi.org/10.1186/s12992-016-0195-3Idrovo, A. J. (2021). More social discontent than pandemic-related risk perception in Colombia. The Lancet, 398(10296), 211. https://doi.org/10.1016/S0140-6736(21)01239-3Islam, M. S., Kamal, A. H. M., Kabir, A., Southern, D. L., Khan, S. H., Hasan, S. M., & Seale, H. (2021). COVID-19 vaccine rumors and conspiracy theories: The need for cognitive inoculation against misinformation to improve vaccine adherence. PloS one, 16(5), e0251605. https://doi.org/10.1371/journal.pone.0251605Jiang, W., Ren, Z., Yu, L., Tan, Y., & Shi, C. (2020). A network analysis of post-traumatic stress disorder symptoms and correlates during the CoViD-19 pandemic. Frontiers in Psychiatry, 1135. https://doi.org/10.3389/fpsyt.2020.568037Jovančević, A., & Milićević, N. (2020). Optimism-pessimism, conspiracy theories and general trust as factors contributing to COVID-19 related behavior–A cross-cultural study. Personality and Individual Differences, 167, 110216. https://doi.org/10.1016/j.paid.2020.110216Lazarus, J. V., Ratzan, S. C., Palayew, A., Gostin, L. O., Larson, H. J., Rabin, K., & El-Mohandes, A. (2021). A global survey of potential acceptance of a COVID-19 vaccine. Nature Medicine, 27(2), 225–228. https://doi.org/10.1038/s41591-020-1124-9Lazarus, J. V., Ratzan, S., Palayew, A., Billari, F. C., Binagwaho, A., Kimball, S., & El-Mohandes, A. (2020). COVID-SCORE: A global survey to assess public perceptions of government responses to COVID-19 (COVID-SCORE-10). PloS one, 15(10), e0240011. https://doi.org/10.1371/journal.pone.0240011Matranga, D., Restivo, V., Maniscalco, L., Bono, F., Pizzo, G., Lanza, G., & Miceli, S. (2020). Lifestyle medicine and psychological well-being toward health promotion: A cross-sectional study on Palermo (Southern Italy) undergraduates. International Journal of Environmental Research and Public Health, 17(15), 5444. https://doi.org/10.3390/ijerph17155444McLean, G., Kamil, J., Lee, B., Moore, P., Schulz, T. F., Muik, A., ... & Pather, S. (2022). The impact of evolving SARS-CoV-2 mutations and variants on COVID-19 vaccines. Mbio, 13(2), e02979–21. https://doi.org/10.1128/mbio.02979-21McNally, R. J., Robinaugh, D. J., Wu, G. W., Wang, L., Deserno, M. K., & Borsboom, D. (2015). Mental disorders as causal systems: A network approach to posttraumatic stress disorder. Clinical Psychological Science, 3(6), 836–849. https://doi.org/10.1177/2167702614553230Mertens, G., Duijndam, S., Smeets, T., & Lodder, P. (2021). The latent and item structure of COVID-19 fear: A comparison of four COVID-19 fear questionnaires using SEM and network analyses. Journal of Anxiety Disorders, 81, 102415. https://doi.org/10.1016/j.janxdis.2021.102415Monge-Rodríguez, F. S., Jiang, H., Zhang, L., Alvarado-Yepez, A., Cardona-Rivero, A., Huaman-Chulluncuy, E., & Torres-Mejía, A. (2021). Psychological Factors Affecting Risk Perception of COVID-19: Evidence from Peru and China. International Journal of Environmental Research and Public Health, 18(12), 6513. https://doi.org/10.3390/ijerph18126513Moya-Salazar, J., Cañari, B., & Contreras-Pulache, H. (2022). How much Fear of COVID-19 is There in Latin America? A Prospective Exploratory Study in Six Countries. Electronic Journal in General Medicine, 19(1), em339. https://doi.org/10.29333/ejgm/11401Mullarkey, M. C., Marchetti, I., & Beevers, C. G. (2019). Using network analysis to identify central symptoms of adolescent depression. Journal of Clinical Child & Adolescent Psychology, 48(4), 656–668. https://doi.org/10.1080/15374416.2018.1437735Naeem, M. (2021). Do social media platforms develop consumer panic buying during the fear of Covid-19 pandemic. Journal of Retailing and Consumer Services, 58, 102226. https://doi.org/10.1016/j.jretconser.2020.102226Narmandakh, A., Roest, A. M., de Jonge, P., & Oldehinkel, A. J. (2020). The bidirectional association between sleep problems and anxiety symptoms in adolescents: a TRAILS report. Sleep Medicine, 67, 39–46. https://doi.org/10.1016/j.sleep.2019.10.018Neria, Y., & Sullivan, G. M. (2011). Understanding the mental health effects of indirect exposure to mass trauma through the media. Journal Of The American Medical Association, 306(12), 1374–1375. https://doi.org/10.1001/jama.2011.1358Neumann-Böhme, S., Varghese, N. E., Sabat, I., Barros, P. P., Brouwer, W., van Exel, J., & Stargardt, T. (2020). Once we have it, will we use it? A European survey on willingness to be vaccinated against COVID-19. The European Journal of Health Economics, 21(7), 977–982. https://doi.org/10.1007/s10198-020-01208-6O’Brien, N., Barboza-Palomino, M., Ventura-León, J., Caycho-Rodríguez, T., Sandoval-Díaz, J. S., López-López, W., & Salas, G. (2020). Nuevo coronavirus (COVID-19). Un análisis bibliométrico. Revista chilena de anestesia, 49(3), 408–415. https://doi.org/10.25237/revchilanestv49n03.020Ortiz-Sánchez, E., Velando-Soriano, A., Pradas-Hernández, L., Vargas-Román, K., Gómez-Urquiza, J. L., Cañadas-De la Fuente, G. A., & Albendín-García, L. (2020). Analysis of the anti-vaccine movement in social networks: a systematic review. International Journal of Environmental Research and Public Health, 17(15), 5394. https://doi.org/10.3390/ijerph17155394Ramos-Vera, C. A. (2020). Miedo a la COVID-19 en adultos peruanos mediante análisis de red.Revista Cubana de Enfermería,36. http://www.revenfermeria.sld.cu/index.php/enf/article/viewFile/4082/664Ramos-Vera, C., Banos-Chaparro, J., & Ogundokun, R. O. (2021). The network structure of depressive symptomatology in Peruvian adults with arterial hypertension. F1000Research, 10, 19. https://doi.org/10.12688/f1000research.27422.2Robinaugh, D. J., Hoekstra, R. H., Toner, E. R., & Borsboom, D. (2020). The network approach to psychopathology: a review of the literature 2008–2018 and an agenda for future research. Psychological Medicine, 50(3), 353–366. https://doi.org/10.1017/S0033291719003404Roy, D., Tripathy, S., Kar, S. K., Sharma, N., Verma, S. K., & Kaushal, V. (2020). Study of knowledge, attitude, anxiety & perceived mental healthcare need in Indian population during COVID-19 pandemic. Asian journal of psychiatry, 51, 102083. https://doi.org/10.1016/j.ajp.2020.102083RStudio Team (2022). RStudio: Integrated Development for R. RStudio, PBC, Boston, MA, 2022.Rubin, G. J., & Wessely, S. (2020). The psychological effects of quarantining a city. Bmj, 368. https://doi.org/10.1136/bmj.m313Rudan, I., Adeloye, D., Katikireddi, V., Murray, J., Simpson, C., Shah, S. A., Robertson, C., Sheikh, A., & EAVE II collaboration (2021). The COVID-19 pandemic in children and young people during 2020-2021: A complex discussion on vaccination. Journal of global health, 11, 01011. https://doi.org/10.7189/jogh.11.01011Sallam, M. (2021). COVID-19 vaccine hesitancy worldwide: a concise systematic review of vaccine acceptance rates. Vaccines, 9(2), 160. https://doi.org/10.3390/vaccines9020160Sallam, M., Dababseh, D., Eid, H., Al-Mahzoum, K., Al-Haidar, A., Taim, D., & Mahafzah, A. (2021). High rates of COVID-19 vaccine hesitancy and its association with conspiracy beliefs: a study in Jordan and Kuwait among other Arab countries. Vaccines, 9(1), 42. https://doi.org/10.3390/vaccines9010042Scrima, F., Miceli, S., Caci, B., & Cardaci, M. (2022). The relationship between fear of COVID-19 and intention to get vaccinated. The serial mediation roles of existential anxiety and conspiracy beliefs. Personality and Individual Differences, 184, 111188. https://doi.org/10.1016/j.paid.2021.111188Seddig, D., Maskileyson, D., Davidov, E., Ajzen, I., & Schmidt, P. (2022). Correlates of COVID-19 vaccination intentions: Attitudes, institutional trust, fear, conspiracy beliefs, and vaccine skepticism. Social Science & Medicine, 114981. https://doi.org/10.1016/j.socscimed.2022.114981Siddique, R. F., Ahmed, O., & Hossain, K. N. (2021). Relationship between the fear of COVID-19 disease and sleep quality: The mediating role of stress. Heliyon, 7(5), e07033. https://doi.org/10.1016/j.heliyon.2021.e07033Stephens, M. (2020). A geospatial infodemic: Mapping Twitter conspiracy theories of COVID-19. Dialogues in Human Geography, 10(2), 276–281. https://doi.org/10.1177/2043820620935683Taylor, S. (2019). The psychology of pandemics: Preparing for the next global outbreak of infectious disease. Cambridge scholars publishing.Taylor, S., & Asmundson, G. (2004). Treating health anxiety: A cognitive-behavioral approach. New York: Guilford.Taylor, S., Landry, C. A., Paluszek, M. M., Fergus, T. A., McKay, D., & Asmundson, G. J. (2020). COVID stress syndrome: Concept, structure, and correlates. Depression and Anxiety, 37(8), 706–714. https://doi.org/10.1002/da.23071Tegally, H., Moir, M., Everatt, J., Giovanetti, M., Scheepers, C., Wilkinson, E., ... & de Oliveira, T. (2022). Emergence of SARS-CoV-2 Omicron lineages BA. 4 and BA. 5 in South Africa. Nature Medicine, 1–6. https://doi.org/10.1038/s41591-022-01911-2Ullah, I., Khan, K. S., Tahir, M. J., Ahmed, A., & Harapan, H. (2021). Myths and conspiracy theories on vaccines and COVID-19: Potential effect on global vaccine refusals. Vacunas, 22(2), 93–97. https://doi.org/10.1016/j.vacun.2021.01.001Urrunaga-Pastor, D., Bendezu-Quispe, G., Herrera-Añazco, P., Uyen-Cateriano, A., Toro-Huamanchumo, C. J., Rodriguez-Morales, A. J., & Benites-Zapata, V. A. (2021). Cross-sectional analysis of COVID-19 vaccine intention, perceptions and hesitancy across Latin America and the Caribbean. Travel Medicine and Infectious Disease, 41, 102059. https://doi.org/10.1016/j.tmaid.2021.102059van Borkulo, C. D., van Bork, R., Boschloo, L., Kossakowski, J. J., Tio, P., Schoevers, R. A., Borsboom, D., & Waldorp, L. J. (2022). Comparing network structures on three aspects: A permutation test. Psychological Methods. Advance online publication. https://doi.org/10.1037/met0000476Van Prooijen, J. W. (2018). The psychology of conspiracy theories. Routledge.Van Prooijen, J. W., & Douglas, K. M. (2017). Conspiracy theories as part of history: The role of societal crisis situations. Memory Studies, 10(3), 323–333. https://doi.org/10.1177/1750698017701615Wang, C., & Han, J. (2022). Will the COVID-19 pandemic end with the Delta and Omicron variants?. Environmental Chemistry Letters, 20, 2210–2225. https://doi.org/10.1007/s10311-021-01369-7Wheaton, M. G., Prikhidko, A., & Messner, G. R. (2021). Is fear of COVID-19 contagious? The effects of emotion contagion and social media use on anxiety in response to the coronavirus pandemic. Frontiers in Psychology, 11, 3594. https://doi.org/10.3389/fpsyg.2020.567379Wonodi, C., Obi-Jeff, C., Adewumi, F., Keluo-Udeke, S. C., Gur-Arie, R., Krubiner, C., & Faden, R. (2022). Conspiracy theories and misinformation about COVID-19 in Nigeria: Implications for vaccine demand generation communications. Vaccine, 40(13), 2114–2121. https://doi.org/10.1016/j.vaccine.2022.02.005World Medical Association (1964). Declaración de Helsinki. http://www.conamed.gob.mx/prof_salud/pdf/helsinki.pdfYuksel, D., McKee, G. B., Perrin, P. B., Alzueta, E., Caffarra, S., Ramos-Usuga, D., & Baker, F. C. (2021). Sleeping when the world locks down: Correlates of sleep health during the COVID-19 pandemic across 59 countries. Sleep Health, 7(2), 134–142. https://doi.org/10.1016/j.sleh.2020.12.008Zavlis, O., Butter, S., Bennett, K., Hartman, T. K., Hyland, P., Mason, L., & Bentall, R. P. (2021). How does the COVID-19 pandemic impact on population mental health? A network analysis of COVID influences on depression, anxiety and traumatic stress in the UK population. Psychological Medicine, 1–9. https://doi.org/10.1017/S0033291721000635Zeballos Rivas, D. R., Lopez Jaldin, M. L., Canaviri, N., Portugal Escalante, B., Fernández, L. F. A., A. M., & Ticona, A., J. P (2021). Social media exposure, risk perception, preventive behaviors and attitudes during the COVID-19 epidemic in La Paz, Bolivia: A cross sectional study. PloS one, 16(1), e0245859. https://doi.org/10.1371/journal.pone.0245859info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Atribución 4.0 Internacional (CC BY 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/https://link.springer.com/article/10.1007/s12144-022-03622-w#citeasNetwork analysisConspiracy beliefsFear of COVIDVaccinesNetwork analysis of the relationships between conspiracy beliefs towards COVID-19 vaccine and symptoms of fear of COVID-19 in a sample of latin american countriesArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionPublicationTEXTPortada 4.pdf.txtPortada 4.pdf.txtExtracted texttext/plain17https://repositorio.unibague.edu.co/bitstreams/471a3c2b-e200-4457-a172-bc9be78c9efd/download076e19bea75772290294488d14167734MD53THUMBNAILPortada 4.pdf.jpgPortada 4.pdf.jpgGenerated Thumbnailimage/jpeg9780https://repositorio.unibague.edu.co/bitstreams/edeecee1-703b-4c1c-81ca-2fcf0f5ae692/download5ecefb154b361a54a289baa09063ea4fMD54LICENSElicense.txtlicense.txttext/plain; charset=utf-8134https://repositorio.unibague.edu.co/bitstreams/011c416a-7a68-47ec-942a-8fb4966da19d/download2fa3e590786b9c0f3ceba1b9656b7ac3MD52ORIGINALPortada 4.pdfPortada 4.pdfapplication/pdf218193https://repositorio.unibague.edu.co/bitstreams/46087709-8805-4e57-bb25-d2cbd1daaa23/download7292f557ec2edd1b9397a83f5697d09aMD5120.500.12313/3888oai:repositorio.unibague.edu.co:20.500.12313/38882023-10-28 03:00:31.934https://creativecommons.org/licenses/by-nc-nd/4.0/https://repositorio.unibague.edu.coRepositorio Institucional Universidad de Ibaguébdigital@metabiblioteca.comQ3JlYXRpdmUgQ29tbW9ucyBBdHRyaWJ1dGlvbi1Ob25Db21tZXJjaWFsLU5vRGVyaXZhdGl2ZXMgNC4wIEludGVybmF0aW9uYWwgTGljZW5zZQ0KaHR0cHM6Ly9jcmVhdGl2ZWNvbW1vbnMub3JnL2xpY2Vuc2VzL2J5LW5jLW5kLzQuMC8= |