Creencias y percepciones sobre la probabilidad de contraer el coronavirus en trabajadores del sector industrial
| datacite.rights | http://purl.org/coar/access_right/c_16ec | spa |
| dc.contributor.author | Acosta López, Tatiana Matilde | |
| dc.contributor.author | Bohórquez Prada, Angie Catalina | |
| dc.contributor.author | De La Hoz Benítez, Roxana | |
| dc.contributor.author | Fuentes Alvis, Arley Faruth | |
| dc.date.accessioned | 2021-05-11T14:07:31Z | |
| dc.date.available | 2021-05-11T14:07:31Z | |
| dc.date.issued | 2021 | |
| dc.description.abstract | Objetivo: Determinar las creencias y percepciones sobre la probabilidad de contraer el coronavirus en trabajadores del sector industrial Materiales y Métodos: Estudio estadístico de corte transversal en una muestra de 136 trabajadores del sector industrial. Los datos fueron recolectados a través de un documento digital en línea modo cuestionario enviado a través del correo electrónico a un total de 136 trabajadores a fin de determinar las creencias y percepciones relacionadas al contagio por COVID-19 en el sector industrial. Resultados: La susceptibilidad percibida, en cuanto al riesgo de contraer la enfermedad en la rutina diaria es débil con un 45,6%, esto va relacionado a que este sector considera que su exposición a multitudes y/o centros comerciales es débil con un 47,1% y 49,3% respectivamente, así mismo califican como débil la probabilidad de contraer el virus a causa de su estado de salud con un 59,6%, en cuanto a la severidad gran parte de la población encuestada consideran la probabilidad de padecer dolor, fiebre y complicaciones graves, entre moderado y fuerte con un 51,4% y un 44,9% respectivamente, sin embargo consideran que no llegarían a tener comprometida la capacidad respiratoria ni las actividades diarias lo que se reflejado con un 47,8% y 55,1% del total de la población. Conclusiones: La probabilidad de contraer coronavirus en la población de estudio es baja, sumado a esto el alto índice de confianza en cuanto al estado de salud como factor que incrementa la gravedad de la enfermedad. Asimismo, preocupa la poca aceptación del lavado de manos y la baja percepción de la severidad en caso de contagio. | spa |
| dc.description.abstract | Objective: Determine the beliefs and perceptions about the probability of contracting the coronavirus in workers in the industrial sector Materials and Methods: Statistical cross-sectional study in a sample of 136 workers in the industrial sector. The data was collected through an online digital document as a questionnaire sent via email to a total of 136 workers in order to determine the beliefs and perceptions related to contagion by COVID-19 in the industrial sector. Results: The perceived susceptibility, in terms of the risk of contracting the disease in the daily routine, is weak with 45.6%, this is related to the fact that this sector considers that its exposure to crowds and / or shopping centers is weak with 47.1 % and 49.3% respectively, likewise qualify as weak the probability of contracting the virus due to their health status with 59.6%, in terms of severity, a large part of the surveyed population considers the probability of suffering from pain , fever and serious complications, between moderate and strong with 51.4% and 44.9% respectively, however they consider that they would not have compromised respiratory capacity or daily activities, which was reflected by 47.8% and 55.1% of the total population. Conclusions: The probability of contracting coronavirus in the study population is low, in addition to the high level of confidence regarding the state of health as a factor that increases the severity of the disease. Likewise, there is concern about the low acceptance of hand washing and the low perception of severity in case of contagion. | eng |
| dc.format.mimetype | spa | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12442/7637 | |
| dc.language.iso | spa | spa |
| dc.publisher | Ediciones Universidad Simón Bolívar | spa |
| dc.publisher | Facultad de Ciencias de la Salud | spa |
| dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
| dc.rights.accessrights | info:eu-repo/semantics/restrictedAccess | spa |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
| dc.subject | Coronavirus | spa |
| dc.subject | COVID – 19 | spa |
| dc.subject | SARS-CoV-2 | spa |
| dc.subject | Pandemia | spa |
| dc.subject | Pandemic | eng |
| dc.title | Creencias y percepciones sobre la probabilidad de contraer el coronavirus en trabajadores del sector industrial | spa |
| dc.type.driver | info:eu-repo/semantics/other | spa |
| dc.type.spa | Otros | spa |
| dcterms.references | Emerson, KG. Coping with being cooped up: Social distancing during COVID-19 among 60+ in the United States. Rev Panam Salud Publica. 2020;44:e81. https://doi.org/10.26633/RPSP.2020.81. | eng |
| dcterms.references | Organización Mundial de la Salud. Coronavirus. Genova; 2020 | spa |
| dcterms.references | World Health Organization. WHO Coronavirus (COVID-19) Dashboard. 2021. | eng |
| dcterms.references | Patiño-Lugo D, Vélez M, Velásquez S, Vera-Giraldo C, Vélez V, Marín I, et al. Non-pharmaceutical interventions for containment, mitigation and suppression of COVID-19 infection. Colomb. Med. 2020; 51(2): e4266. https://doi.org/10.25100/cm.v51i2.4266. | eng |
| dcterms.references | Valero, N; Vélez, M; Durán, A; Portillo, M. Afrontamiento del COVID-19: estrés, miedo, ansiedad y depresión? Enferm Inv. 2020;5(3):63-70. | spa |
| dcterms.references | Engelhard IM, van Uijen SL, van Seters N, Velu N. The effects of safety behavior directed towards a safety cue on perceptions of threat. Behavior Therapy. 2015; 46(5): 604-610. https://doi.org/10.1016/j.beth.2014.12.006. | eng |
| dcterms.references | Medina MR. COVID-19: La no percepción del riesgo. Más Poder Local. 2020; 4: 34-35 | spa |
| dcterms.references | De Coninck D, d'Haenens L, Matthijs K. Perceived vulnerability to disease and attitudes towards public health measures: COVID-19 in Flanders, Belgium. Pers Individ Dif. 2020; 166:110220. doi: 10.1016/j.paid.2020.110220. | eng |
| dcterms.references | Peres D, Monteiro J, Almeida M, Ladeira R. Risk Perception of COVID-19 Among the Portuguese Healthcare Professionals and General Population. J Hosp Infect. 2020;105(3):434–7. doi: 10.1016/j.jhin.2020.05.038. | eng |
| dcterms.references | Motta Zanin G, Gentile E, Parisi A, Spasiano D. A Preliminary Evaluation of the Public Risk Perception Related to the COVID-19 Health Emergency in Italy. Int J Environ Res Public Health. 2020; 17(9):3024. doi: 10.3390/ijerph17093024. | eng |
| dcterms.references | Geldsetzer P. Use of Rapid Online Surveys to Assess People's Perceptions During Infectious Disease Outbreaks: A Cross-sectional Survey on COVID-19. J Med Internet Res. 2020; 22(4):e18790. doi: 10.2196/18790. | eng |
| dcterms.references | Pedrozo-Pupo John Carlos, Pedrozo-Cortés María José, Campo-Arias Adalberto. Perceived stress associated with COVID-19 epidemic in Colombia: an online survey. Cad. Saúde Pública. 2020; 36(5): e00090520. https://doi.org/10.1590/0102-311x00090520. | eng |
| dcterms.references | Organización Mundial de la Salud. Prevención y control de infecciones en los centros de atención de larga estancia en el contexto de la COVID-19. 2020. | spa |
| dcterms.references | Jones CL, Jensen JD, Scherr CL, Brown NR, Christy K, Weaver J. The Health Belief Model as an explanatory framework in communication research: exploring parallel, serial, and moderated mediation. Health Commun. 2015;30(6):566-76. doi: 10.1080/10410236.2013.873363. | eng |
| dcterms.references | Glanz K, Bishop DB. The role of behavioral science theory in development and implementation of public health interventions. Annu Rev Public Health. 2010;31:399-418. doi: 10.1146/annurev.publhealth.012809.103604. | eng |
| dcterms.references | Champion V, Skinner C. The Health Belief Model. In: Health behavior and health education: theory, research, and practice. Glanz K, Rimer B and K. Viswanath. 4th ed. 2008. | eng |
| dcterms.references | Cabrera AG, Tascón GJ, Lucumí CD. Creencias en salud: historia, constructos y aportes al modelo. Rev Fac Nal Salud Pública. 2001; 19(1): 91-101. | spa |
| dcterms.references | Rodríguez IH, Mendoza ZD, Vasquez Giler, M. El Modelo de Creencia de Salud (HBM): un análisis bibliométrico. FACSALUD-UNEMI. 2020; 4(7): 43-54. | spa |
| dcterms.references | Henshaw E, Freedman-Doan C. Conceptualizing mental health care utilization using the Health Belief Model. Clin Psychol Sci Prac. 2009; 16 (4): 420-439. doi.org/10.1111/j.1468-2850.2009.01181.x | eng |
| dcterms.references | Orji R, Vassileva J, Mandryk R. Towards an effective health interventions design: An extension of the Health Belief Model. J Public Health Inform. 2012; 4(3):e9, 2012 | eng |
| dcterms.references | Carico RR Jr, Sheppard J, Thomas CB. Community pharmacists and communication in the time of COVID-19: Applying the health belief model. Res Social Adm Pharm. 2021; 17(1):1984-1987. doi: 10.1016/j.sapharm.2020.03.017. | eng |
| dcterms.references | Finfgeld DL, Wongvatunyu S, Conn VS, Grando VT, Russell CL. Health belief model and reversal theory: a comparative analysis. J Adv Nurs. 2003; 43(3):288-97. doi: 10.1046/j.1365-2648.2003.02712.x. | eng |
| dcterms.references | Janz NK, Becker MH (1984) The health belief model: a decade later. Health Educ Q 11:1-47 https://doi.org/10.1177/109019818401100101 | eng |
| dcterms.references | Bandura, A. (1994). Self-efficacy. In V. S. Ramachaudran (Ed.), Encyclopedia of human behavior (Vol. 4, pp. 71-81). New York: Academic Press. (Reprinted in H. Friedman [Ed.], Encyclopedia of mental health. San Diego: Academic Press, 1998). | eng |
| dcterms.references | Centers for Disease Control and Prevention. Implementation of mitigation strategies for communities with local COVID-19 transmission. 2020. | eng |
| dcterms.references | Pérez AM, Gómez TJ, Dieguez GR. Características clínico-epidemiológicas de la COVID-19. Rev haban cienc méd. 2021; 19( ): e3254. | spa |
| dcterms.references | Yuki K, Fujiogi M, Koutsogiannaki S. COVID-19 pathophysiology: A review. Clin Immunol. 2020; 215:108427. doi: 10.1016/j.clim.2020.108427. | eng |
| dcterms.references | Pollard CA, Morran MP, Nestor-Kalinoski AL. The COVID-19 pandemic: a global health crisis. Physiol Genomics. 2020 Nov 1;52(11):549-557. doi: 10.1152/physiolgenomics.00089.2020. | eng |
| dcterms.references | Wiersinga WJ, Rhodes A, Cheng AC, Peacock SJ, Prescott HC. Pathophysiology, Transmission, Diagnosis, and Treatment of Coronavirus Disease 2019 (COVID-19): A Review. JAMA. 2020; 324(8):782-793. doi: 10.1001/jama.2020.12839. | eng |
| dcterms.references | Wilder-Smith A, Freedman DO. Isolation, quarantine, social distancing and community containment: pivotal role for old-style public health measures in the novel coronavirus (2019-nCoV) outbreak. J Travel Med. 2020; 27(2):taaa020. doi: 10.1093/jtm/taaa020. | eng |
| dcterms.references | Xu Y, Lin G, Spada C, Zhao H, Wang S, Chen X, et al. Public Knowledge, Attitudes, and Practices Behaviors Towards Coronavirus Disease 2019 (COVID-19) During a National Epidemic-China. Front Public Health. 2021; 9:638430. doi: 10.3389/fpubh.2021.638430. | eng |
| dcterms.references | Sesagiri Raamkumar A, Tan SG, Wee HL. Use of health belief model-based deep learning classifiers for COVID-19 social media content to examine public perceptions of physical distancing: Model Development and Case Study. JMIR Public Health Surveill. 2020; 6(3):e20493. doi: 10.2196/20493. | eng |
| dcterms.references | Sim SW, Moey KS, Tan NC. The use of facemasks to prevent respiratory infection: a literature review in the context of the Health Belief Model. Singapore Med J. 2014 Mar;55(3):160-7. doi: 10.11622/smedj.2014037. | eng |
| dcterms.references | Costa MF. Health belief model for coronavirus infection risk determinants. Rev Saude Publica. 2020; 54:47. doi: 10.11606/s1518-8787.2020054002494. | eng |
| dcterms.references | Honarvar B, Lankarani KB, Kharmandar A, Shaygani F, Zahedroozgar M, Rahmanian Haghighi MR, et al. Knowledge, attitudes, risk perceptions, and practices of adults toward COVID-19: a population and field-based study from Iran. Int J Public Health. 2020; 65(6):731-739. doi: 10.1007/s00038-020-01406-2. | eng |
| dcterms.references | Chertok IRA. Perceived risk of infection and smoking behavior change during COVID-19 in Ohio. Public Health Nurs. 2020; 37(6):854-862. doi: 10.1111/phn.12814. | eng |
| dcterms.references | Tadesse T, Alemu T, Amogne G, Endazenaw G, Mamo E. Predictors of Coronavirus Disease 2019 (COVID-19) Prevention Practices Using Health Belief Model Among Employees in Addis Ababa, Ethiopia, 2020. Infect Drug Resist. 2020;13:3751-3761. doi: 10.2147/IDR.S275933. | eng |
| dcterms.references | Meier K, Glatz T, Guijt MC, Piccininni M, van der Meulen M, Atmar K, et al. COVID-19 Survey Study group. Public perspectives on protective measures during the COVID-19 pandemic in the Netherlands, Germany and Italy: A survey study. PLoS One. 2020; 15(8):e0236917. doi: 10.1371/journal.pone.0236917. | eng |
| dcterms.references | Thompson DC, Barbu MG, Beiu C, Popa LG, Mihai MM, Berteanu M, et al. The Impact of COVID-19 Pandemic on Long-Term Care Facilities Worldwide: An Overview on International Issues. Biomed Res Int. 2020; 2020:8870249. doi: 10.1155/2020/8870249. | eng |
| oaire.version | info:eu-repo/semantics/acceptedVersion | spa |
| sb.programa | Especialización en Seguridad y Salud en el Trabajo | spa |
| sb.sede | Sede Barranquilla | spa |