dc.creatorYánez Contreras, Martha
dc.creatorRedondo Castro, Luis
dc.date16 de octubre de 2021
dc.date19 de mayo de 2022
dc.date2022-12-13T08:00:00Z
dc.date.accessioned2023-09-07T21:55:57Z
dc.date.available2023-09-07T21:55:57Z
dc.identifierhttps://ciencia.lasalle.edu.co/eq/vol1/iss40/7
dc.identifierhttps://ciencia.lasalle.edu.co/cgi/viewcontent.cgi?article=1559&context=eq
dc.identifierhttps://ciencia.lasalle.edu.co/context/eq/article/1559/viewcontent/7.Rev_20Equidad_20y_20Desarrollo_40_MYanez_20et_20al.pdf
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8749373
dc.descriptionEn esta investigación se evaluaron algunos factores que pudieron afectar el cumplimiento del confinamiento domiciliario durante la pandemia de la covid-19 por parte de los ciudadanos de países latinoamericanos. Para ello se utilizaron datos de 229 días - contados a partir de la primera infección confirmada en la región , relacionados con la movilidad, el interés de las personas por informarse en temas relacionados con el nuevo coronavirus, el rigor de las políticas que restringían el movimiento de personas, la confianza de los ciudadanos hacia sus gobiernos, el desempleo y las muertes por covid-19. A partir de ellos estimó un modelo con datos de panel para doce países latinoamericanos. Los principales resultados sugieren que un mayor rigor de los gobiernos, un buen nivel de confianza hacia ellos y el aumento del desempleo, estuvieron asociados a un mayor acatamiento del confinamiento domiciliario como medida para mitigar los efectos de la pandemia.
dc.descriptionThis research evaluated some factors that could affect compliance with home confinement during the covid-19 pandemic by citizens of Latin American countries. Data from 229 days was used counted from the first confirmed infection in the region related to mobility, the interest of people in learning about issues related to the new coronavirus, the rigor of the policies that restricted the movement of people, the trust of citizens towards their governments, unemployment and deaths from covid-19. He estimated a model with panel data for twelve Latin American countries from them. The main results suggest that a greater rigor of governments, a good level of trust towards them, and an increase in unemployment were associated with greater compliance with home confinement to mitigate the pandemic's effects.
dc.formatapplication/pdf
dc.formate1470
dc.languagespa
dc.publisherUniversidad de La Salle. Ediciones Unisalle
dc.relationAllen, J., Howland, B., Mobius, M., Rothschild, D. y Watts, D. J. (2020). Evaluating the fake news problem at the scale of the information ecosystem. Science Advances , 6(14), eaay3539. https://doi.org/10.1126/sciadv.aay3539
dc.relationAlon, I., Farrell, M. y Li, S. (2020). Regime type and COVID-19 response. FIIB Business Review, 9(3), 152 160. https://doi.org/10.1177/2319714520928884
dc.relationAparicio, J. y Márquez, J. (2005). Diagnóstico y especificación de modelos panel en Stata 8.0. División de Estudios Políticos, CIDE. https://bit.ly/3WEhMKX
dc.relationBalinska, M. y Rizzo, C. (2009). Behavioural responses to influenza pandemics: What do we know? PLoS Currents, 1. https://doi.org/10.1371/CURRENTS.RRN1037
dc.relationBardey, D., Fernández, M. y Gravel, A. (2021). Coronavirus and social distancing: Do non pharmaceuticalinterventions work (at least) in the short run? Serie Documentos Cede n.° 4. https://doi.org/10.2139/ssrn.3778714
dc.relationBargain, O. y Aminjonov, U. (2020). Trust and compliance to public health policies in times of COVID-19. Journal of Public Economics , 192, 104316. https://doi.org/10.1016/j.jpubeco.2020.104316
dc.relationBeck, N. y Katz, J. N. (1995). What to do (and not to do) with time-series cross-section data. American Political Science Review, 89(3), 634 647. https://doi.org/10.2307/2082979
dc.relationBjørnskov, C. (2007). Determinants of generalized trust: A cross-country comparison. Public Choice, 130(1 2), 1 21. https://doi.org/10.1007/s11127-006-9069-1
dc.relationBlair, R. A., Morse, B. S. y Tsai, L. L. (2017). Public health and public trust: Survey evidence from the Ebola Virus Disease epidemic in Liberia. Social Science & Medicine, 172, 89 97. https://doi.org/10.1016/J.SOCSCIMED.2016.11.016
dc.relationBlavatnik School of Government. (2020). COVID-19 government response tracker. https://bit.ly/3zGAYO1
dc.relationBunyavejchewin, P. y Sirichuanjun, K. (2021). How regime type and governance quality affect policy responses to COVID-19: A preliminary analysis. Heliyon, 7(2), e06349. https://doi.org/10.1016/j.heliyon.2021.e06349
dc.relationCalderón-Larrañaga, A., Dekhtyar, S., Vetrano, D. L., Bellander, T. y Fratiglioni, L. (2020). COVID-19: risk accumulation among biologically and socially vulnerable older populations. Ageing Research Reviews, 63, 101149. https://doi.org/10.1016/j.arr.2020.101149
dc.relationCaleo, G., Duncombe, J., Jephcott, F., Lokuge, K., Mills, C., Looijen, E., Theoharaki, F., Kremer, R., Kleijer, K., Squire, J., Lamin, M., Stringer, B., Weiss, H. A., Culli, D., Di Tanna, G. L. y Greig, J. (2018). The factors affecting household transmission dynamics and community compliance with Ebola control measures: a mixed-methods study in a rural village in Sierra Leone. (2018). BMC Public Health, 18(1), 1 13. https://doi.org/10.1186/S12889-018-5158-6
dc.relationCepaluni, G., Dorsch, M. y Branyiczki, R. (2020). Political regimes and deaths in the early stages of the COVID-19 pandemic. SSRN Electronic Journal . https://doi.org/10.2139/ssrn.3586767
dc.relationCevik, M., Kuppalli, K., Kindrachuk, J. y Peiris, M. (2020). Virology, transmission, and pathogenesis of SARS-CoV-2. BMJ, 371, m3862. https://doi.org/10.1136/bmj.m3862
dc.relationChen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., Xia, J., Yu, T., Zhang, X. y Zhang, L. (2020). Epidemiological and clinical characteristics of 99 cases of 2019 novel coronavirus pneumonia in Wuhan, China: a descriptive study. The Lancet , 395(10223), 507 513. https://doi.org/10.1016/S0140-6736(20)30211-7
dc.relationConway, L. G., Woodard, S., Zubrod, A. y Chan, L. (2020). Why are conservatives less concerned about the coronavirus (COVID-19) than liberals? Comparing Political, Experiential, and Partisan Messaging Explanations. https://doi.org/10.31234/osf.io/fgb84
dc.relationEysenbach, G. (2009). Infodemiology and infoveillance: Framework for an emerging set of public health informatics methods to analyze search, communication and publication behavior on the internet. Journal of Medical Internet Research, 11(1). https://doi.org/10.2196/JMIR.1157
dc.relationFenichel, E. P. (2013). Economic considerations for social distancing and behavioral based policies during an epidemic. Journal of Health Economics , 32(2), 440 451. https://doi.org/10.1016/j.jhealeco.2013.01.002
dc.relationFestinger, L. (1957). A theory of cognitive dissonance (vol. 2). Stanford University Press. https://bit.ly/3WurbVh
dc.relationGallup World Poll. (2021). Country data set details . https://bit.ly/2VLXLFB
dc.relationGoogle. (2020a). Coronavirus . Google Trends. https://trends.google.it/trends/?geo=CO
dc.relationGoogle. (2020b). Informes de movilidad local sobre el COVID-19. https://www.google.com/covid19/mobility/
dc.relationGreer, S. L., King, E. J., da Fonseca, E. M. y Peralta-Santos, A. (2020). The comparative politics of COVID- 19: The need to understand government responses. Global Public Health , 15(9), 1413 1416. https://doi.org/10.1080/17441692.2020.1783340
dc.relationHale, T., Petherick, A., Phillips, T. y Webster, S. (2020). Variation in government responses to COVID-19. https://bit.ly/3Ymo5DM
dc.relationIyengar, S., Lelkes, Y., Levendusky, M., Malhotra, N. y Westwood, S. J. (2019). The origins and consequences of affective polarization in the United States. Annual Review of Political Science, 22, 129 146. https://doi.org/10.1146/annurev-polisci-051117-073034
dc.relationJohns Hopkins Coronavirus Resource Center. (2020). COVID-19 Map. https://bit.ly/3h0WS8d
dc.relationKahneman, D. y Tversky, A. (1987). Teoría prospectiva: Un análisis de la decisión bajo riesgo. Estudios de Psicología, 8(29 30), 95 124. https://doi.org/10.1080/02109395.1987.10821483
dc.relationLee, M., Zhao, J., Sun, Q., Pan, Y., Zhou, W., Xiong, C. y Zhang, L. (2020). Human mobility trends during the early stage of the COVID-19 pandemic in the United States. PLoS ONE, 15(11). https://doi.org/10.1371/journal.pone.0241468
dc.relationLynas, M. (2020). COVID: 10 principales teorías de conspiración. Alliance for Science. https://bit.ly/3DWyde3
dc.relationMehraeen, E., Karimi, A., Barzegary, A., Vahedi, F., Afsahi, A. M., Dadras, O., Moradmand-Badie, B., Seyed Alinaghi, S. A. y Jahanfar, S. (2020). Predictors of mortality in patients with COVID-19 a systematic review. European Journal of Integrative Medicine, 40, 101226. https://doi.org/10.1016/j.eujim.2020.101226
dc.relationMiguel, F. K., Machado, G. M., Pianowski, G. y Carvalho, L. de F. (2021). Compliance with containment measures to the COVID-19 pandemic over time: Do antisocial traits matter? Personality and Individual Differences , 168, 110346. https://doi.org/10.1016/j.paid.2020.110346
dc.relationMukhtar, S. (2020). Psychological health during the coronavirus disease 2019 pandemic outbreak. International Journal of Social Psychiatry, 66(5), 512 516. https://doi.org/10.1177/0020764020925835
dc.relationMurphy, K., Williamson, H., Sargeant, E. y McCarthy, M. (2020). Why people comply with COVID-19 social distancing restrictions: Self-interest or duty? Journal of Criminology, 53(4), 477 496. https://doi.org/10.1177/0004865820954484
dc.relationOkoi, O. y Bwawa, T. (2020). How health inequality affect responses to the COVID-19 pandemic in Sub- Saharan Africa. World Development, 135, 105067. https://doi.org/10.1016/j.worlddev.2020.105067
dc.relationOnchonga, D. (2020). A Google Trends study on the interest in self-medication during the 2019 novel coronavirus (COVID-19) disease pandemic. Saudi Pharmaceutical Journal , 28(7), 903 904. https://doi.org/10.1016/j.jsps.2020.06.007
dc.relationOrganización Panamericana de la Salud (OPS). (2009). Intervenciones no farmacéuticas: medidas para limitar la propagación de la pandemia en su municipio. https://bit.ly/3U1xjmd
dc.relationPak, A., McBryde, E. y Adegboye, O. A. (2021a). Does high public trust amplify compliance with stringent COVID-19 government health guidelines? A multi-country analysis using data from 102,627 individuals. Risk Management and Healthcare Policy, 14, 293 302. https://doi.org/10.2147/RMHP.S278774
dc.relationPeak, C. M., Wesolowski, A., zu Erbach-Schoenberg, E., Tatem, A. J., Wetter, E., Lu, X., Power, D., Weidman-Grunewald, E., Ramos, S., Moritz, S., Buckee, C. O. y Bengtsson, L. (2018). Population mobility reductions associated with travel restrictions during the Ebola epidemic in Sierra Leone: use of mobile phone data. International Journal of Epidemiology, 47(5), 1562 1570. https://doi.org/10.1093/IJE/DYY095
dc.relationPiovani, D., Christodoulou, M. N., Hadjidemetriou, A., Pantavou, K., Zaza, P., Bagos, P. G., Bonovas, S. y Nikolopoulos, G. K. (2021). Effect of early application of social distancing interventions on COVID- 19 mortality over the first pandemic wave: An analysis of longitudinal data from 37 countries. Journal of Infection, 82(1), 133 142. https://doi.org/10.1016/j.jinf.2020.11.033
dc.relationPrati, G., Pietrantoni, L. y Zani, B. (2011a). Compliance with recommendations for pandemic influenza H1N1 2009: the role of trust and personal beliefs. Health Education Research, 26(5), 761 769. https://doi.org/10.1093/HER/CYR035
dc.relationQuinn, S. C., Kumar, S., Freimuth, V. S., Kidwell, K. y Musa, D. (2009). Public willingness to take a vaccine or drug under emergency use authorization during the 2009 H1N1 pandemic. Biosecurity and Bioterrorism: Biodefense Strategy, Practice, and Science , 7(3), 275. https://doi.org/10.1089/BSP.2009.0041
dc.relationRoser, M., Ritchie, H., Ortiz-Ospina, E. Mathieu, E., Rodés-Guirao, L., Appel, C., Giattino, C., Macdonald, B., Dattani, S., Beltekian, D. y Hasell, J. (2020). Coronavirus pandemic (COVID-19). In our world in data. https://ourworldindata.org/coronavirus
dc.relationRovetta, A. y Bhagavathula, A. S. (2020). Global infodemiology of COVID-19: Analysis of Google Web searches and Instagram hashtags. Journal of Medical Internet Research, 22(8). https://doi.org/10.2196/20673
dc.relationSchaller, M. y Neuberg, S. L. (2012). Danger, disease, and the nature of prejudice(s). Advances in Experimental Social Psychology, 46, 1 54. https://doi.org/10.1016/B978-0-12-394281-4.00001-5
dc.relationSiegrist, M. y Zingg, A. (2014). The role of public trust during pandemics: Implications for crisis communication. European Psychologist , 19(1), 23 32. https://doi.org/10.1027/1016-9040/a000169
dc.relationTatapudi, H., Das, R. y Das, T. K. (2020). Impact assessment of full and partial stay-at-home orders, face mask usage, and contact tracing: An agent-based simulation study of COVID-19 for an urban region. Global Epidemiology, 2, 100036. https://doi.org/10.1016/j.gloepi.2020.100036
dc.relationvan der Linden, C. y Savoie, J. (2020). Does collective interest or self-interest motivate mask usage as a preventive measure against Covid-19? Canadian Journal of Political Science, 53(2), 391 397. https://doi.org/10.1017/S0008423920000475
dc.relationvan der Weerd, W., Timmermans, D. R., Beaujean, D. J., Oudhoff, J. y van Steenbergen, J. E. (2011). Monitoring the level of government trust, risk perception and intention of the general public to adopt protective measures during the influenza A (H1N1) pandemic in the Netherlands. BMC Public Health, 11. https://doi.org/10.1186/1471-2458-11-575
dc.relationVannoni, M., McKee, M., Semenza, J. C., Bonell, C. y Stuckler, D. (2020). Using volunteered geographic information to assess mobility in the early phases of the COVID-19 pandemic: A cross-city time series analysis of 41 cities in 22 countries from March 2nd to 26th 2020. Global Health, 16. https://doi.org/10.1186/s12992-020-00598-9
dc.relationWoelfert, F. S. y Kunst, J. R. (2020). How political and social trust can impact social distancing practices during COVID-19 in unexpected ways. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2020.572966
dc.relationWooldridge, J. (2010). Introducción a la econometría. Un enfoque moderno. C. L. Editores.
dc.relationWorld Bank. (2021). Global economic prospects, January 2021. https://bit.ly/3hbaBJy
dc.relationXu, P. y Cheng, J. (2021). Individual differences in social distancing and mask-wearing in the pandemic of COVID-19: The role of need for cognition, self-control and risk attitude. Personality and Individual Differences , 175, 110706. https://doi.org/10.1016/j.paid.2021.110706
dc.rightshttp://creativecommons.org/licenses/by-nc/4.0/
dc.rightsAcceso abierto
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subjectcovid-19
dc.subjectcumplimiento
dc.subjectmedidas no farmacológicas
dc.subjectconfinamiento domiciliario
dc.subjectcovid-19, compliance, non-pharmacological measures, home confinement
dc.titleAcatamiento del confinamiento domiciliario para mitigar la propagación del SARS-CoV-2: análisis para países latinoamericanos
dc.typeArtículo de investigación
dc.identifier.doihttps://doi.org/10.19052/eq.vol1.iss40.7
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.type.redcolhttp://purl.org/redcol/resource_type/ART
dc.type.contentText
dc.type.coarversionVersión publicada
dc.type.coarversionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
dc.identifier.instnameinstname:Universidad de La Salle
dc.identifier.reponamereponame:Ciencia Unisalle
dc.identifier.repo.urlrepourl:https://ciencia.lasalle.edu.co/
dc.relation.ispartofcitationissue40
dc.relation.ispartofjournalEquidad y Desarrollo
dc.title.translatedCompliance with Home Confinement to Mitigate the Spread of SARS-CoV-2: Analysis for Latin American Countries


Este ítem pertenece a la siguiente institución