Social inequities and the COVID-19 in the Peruvian population

Authors

DOI:

https://doi.org/10.5281/zenodo.12746007

Keywords:

covid-19, ethnic inequality, language, poverty, social class

Abstract

Introduction: due to its rapid spread and effects on health, coping with the COVID-19 pandemic is a global priority that poses social, political and economic changes.

Objective: to determine the relationship between socioeconomic stratification, mother tongue, medical services, and geographic region with the COVID-19 disease in Peru.

Methods: 113 315 patients interviewed with the National Household Survey who tested positive for COVID-19 during the second, third, and fourth quarters of 2020 were analyzed. Using logistic regression models, the odds ratios were estimated for the variables sex, place of consultation, mother tongue, poverty, unsatisfied basic needs, geographic area, natural region, and suffering from some disease or chronic discomfort.

Results: residents of the coast, mountains and jungle had a higher risk of hospitalization, compared to residents of Metropolitan Lima (OR=1,736; 1,203; and 1,899, respectively). A higher risk was observed in residents of rural areas (OR=2,372). People with a native mother tongue had a lower risk of hospitalization (OR=0,633), as did patients treated in private services (OR=0,559). This risk was higher in those who went to EsSalud (OR=1,140), Ministry of Health, the Armed Forces or the National Police hospitals (OR=1,214; 4,45); while it was lower among poor people (OR=0,594) or with an unsatisfied basic need (OR=0,653). Chronically ill patients presented a higher risk (OR=1,837).

Conclusions: the spread of COVID-19 in Peru is also due to the social characteristics of the country.

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Author Biography

Bernardo Céspedes Panduro, Docente de la Universidad Nacional Mayor de San Marcos. Lima, República del Perú

Maestro en Educación con Mención en Docencia Universitaria e Investigación Pedagógica. Licenciado en Estadística.

References

Álvarez-Sintes R. Educación Médica Cubana durante la emergencia sanitaria provocada por el SARS-CoV-2. Rev haban cienc méd [Internet]. Jun 2021 [citado 29 Jun 2021];20(3):[aprox. 3 p.]. Disponible en: http://scielo.sld.cu/pdf/rhcm/v20n3/1729-519X-rhcm-20-03-e4149.pdf

Li B, Yang J, Zhao F, Zhi L, Wang X, Liu L, et al. Prevalence and impact of cardiovascular metabolic diseases on COVID-19 in China. Clin Res Cardiol [Internet]. 2020 [citado 29 Jun 2021];109(5):531-8. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7087935/pdf/392_2020_Article_1626.pdf

Myers LC, Parodi SM, Escobar GJ, Liu VX. Characteristics of hospitalized adults with COVID-19 in an integrated health care system in California. JAMA [Internet]. 2020 [citado 29 Jun 2021];323(21):2195-8. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7182961/

Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet [Internet]. Feb 2020 [citado 29 Jun 2021];395(10223):497-506. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7159299/pdf/main.pdf

Singh AK, Gupta R, Misra A. Comorbidities in COVID-19: outcomes in hypertensive cohort and controversies with renin angiotensin system blockers. Diabetes Metab Syndr [Internet]. Ago 2020 [citado 29 Jun 2021];14(4):283-7. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7144598/pdf/main.pdf

Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, et al. Clinical characteristics of coronavirus disease 2019 in China. N Engl J Med [Internet]. 2020 [citado 29 Jun 2021];382(18):1708-20. Disponible en: https://www.nejm.org/doi/pdf/10.1056/NEJMoa2002032?articleTools=true

Vásquez-Huaman E. Pobreza e inversión social en el Perú al 2021. En: Consorcio de Universidades. Metas del Perú al bicentenario [Internet]. Lima: Consorcio de Universidades; 2016. p. 110-24 [citado 29 Jun 2021]. Disponible en: http://www.consorcio.edu.pe/metas-bicentenario/Metas-del-Peru-al-Bicentenario-Consorcio-de-Universidades-Libro-Digital.pdf

Instituto nacional de Estadística e informática (Perú). Pobreza monetaria alcanzó al 30,1% de la población del país durante el año 2020 [Internet]. 14 May 2021 [citado 27 Jul 2021]; Nota de prensa s/n [aprox. 5 p.] Disponible en: https://www.inei.gob.pe/prensa/noticias/pobreza-monetaria-alcanzo-al-301-de-la-poblacion-del-pais-durante-el-ano-2020-12875/

Oyola-García AE. Desigualdad en la distribución de médicos en el Perú. Rev Cubana Salud Pública [Internet]. Mar 2021 [citado 29 Jun 2021];47(1):e1447. Disponible en: http://scielo.sld.cu/pdf/rcsp/v47n1/1561-3127-rcsp-47-01-e1447.pdf

Rochabrún G. Una vana pretensión: ser racista en el Perú. En: Rochabrún G, Drinot P, Manrique N. Racismo, ¿sólo un juego de palabras? Debate a partir del conversatorio: “Racismo y desigualdad en la historia del Perú”, del Ministerio de Cultura [Internet]. Lima: Ministerio de Cultura; 2014 [citado 27 Jul 2021]. Disponible en: https://repositorio.iep.org.pe/bitstream/handle/IEP/675/rochabrun_racismosolounjuego.pdf?sequence=2#page=13

Araujo S, Cannon M, Schmidt-Sane M, Shankland A, Snijder M, Wu YC. Consideraciones clave: los pueblos indígenas en la respuesta y recuperación ante el COVID-19 [Internet]. Brighton: Social Science in Humanitarian Action Platform; 2021 [citado 27 Jul 2021]. Disponible en: https://www.preventionweb.net/files/78044_78044sshapbriefinglospueblosindgena.pdf

Instituto Nacional de Estadística e Informática. Mapa de pobreza monetaria provincial y distrital 2018 [Internet]. Lima: INEI; 2020 [citado 29 Jun 2021]. Disponible en: https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1718/Libro.pdf

Asociación Médica Mundial. Declaración de Helsinki de la AMM. Principios éticos para las investigaciones médicas en seres humanos. Ratificada en la 64ª Asamblea General, Fortaleza, Brasil, octubre 2013. Helsinki: 18ª Asamblea Mundial; 1964 [citado 30 Ene 2016]. Disponible en: http://www.anmat.gov.ar/comunicados/HELSINSKI_2013.pdf

Ortiz-Hernández L, Pérez-Salgado D, Tamez-González S. Desigualdad socioeconómica y salud en México. Rev Med Inst Mex Seguro Soc [Internet]. 2015 [citado 29 Jun 2021];53(3):336-47. Disponible en: https://www.redalyc.org/pdf/4577/457744937015.pdf

Marmot MG. Status syndrome: a challenge to medicine. JAMA [Internet]. 2006 [citado 29 Jun 2021];295(11):1304-07 Disponible en: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.471.9269&rep=rep1&type=pdf

Tan T, Khoo B, Mills EG, Phylactou M, Patel B, Eng PC, et al. Association between high serum total cortisol concentrations and mortality from COVID-19. Lancet Diabetes Endocrinol [Internet]. 2020 [citado 29 Jun 2021];8(8):659-60. Disponible en: https://www.thelancet.com/cms/10.1016/S2213-8587(20)30216-3/attachment/41bfe5cc-dbca-4ae4-a990-78fde1a36e7e/mmc1.pdf

Aiello AE, Kaplan GA. Socioeconomic position and inflammatory and immune biomarkers of cardiovascular disease: applications to the Panel Study of Income Dynamics. Biodemography Soc Biol [Internet]. 2009 [citado 29 Jun 2021];55(2):178-205. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3319671/pdf/nihms330105.pdf

Tabassum F, Kumari M, Rumley A, Power C, Strachan D, Lowe G. Life course social position and d-dimer; findings from the 1958 British birth cohort. PloS One [Internet]. 2014 [citado 29 Jun 2021];9(5):[aprox. 8 p ]. Disponible en: https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0093277&type=printable

Tang N, Li D, Wang X, Sun Z. Abnormal coagulation parameters are associated with poor prognosis in patients with novel coronavirus pneumonia. J Thromb Haemost [Internet]. May 2020 [citado 29 Jun 2021];18(4):844-7. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7262191/pdf/JTH-18-1233.pdf

Yancy CW. COVID-19 and African Americans. JAMA [Internet]. 2020 [citado 29 Jun 2021];323(19):1891-2. Disponible en: https://jamanetwork.com/journals/jama/articlepdf/2764789/jama_yancy_2020_vp_200078.pdf

Ávila-Burgos L, Wirtz VJ, Serván-Mori E, Bautista-Arredondo S, Barroso CA, González-Block MA. Utilización de servicios de salud. En: Gutiérrez JP, Rivera-Dommarco J, Shamah-Levy T, Villalpando-Hernández S, Franco A, Cuevas-Nasu L, et al., editores. Encuesta Nacional de Salud y Nutrición 2012. Resultados Nacionales [Internet]. Cuernavaca: Instituto Nacional de Salud Pública; 2012. p. 42-54 [citado 29 Jun 2021]. Disponible en: https://ensanut.insp.mx/encuestas/ensanut2012/doctos/informes/ENSANUT2012ResultadosNacionales.pdf

Puig A, Pagán J, Wong R. Assessing quality across healthcare subsystems in Mexico. J Ambul Care Manage [Internet]. Jun 2009 [citado 29 Jun 2021];32(2):123-31. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3296558/pdf/nihms353063.pdf

Laurell AC. Impacto del Seguro Popular en el sistema de salud mexicano [Internet]. Buenos Aires: CLACSO; 2013 [citado 29 Jun 2021]. Disponible en: https://www.crop.org/ViewFile.aspx?id=471

Cruz-Martínez A. Están llenos hospitales Covid en el Valle de México. La Jornada. 12 May 2020; Secc Política.

Meijer M, Röhl J, Bloomfield K, Grittner U. Do neighborhoods affect individual mortality? A systematic review and meta-analysis of multilevel studies. Soc Sci Med. Abr 2012;74(8):1204-12.

Villarreal A. Ethnic identification and its consequences for measuring inequality in Mexico. Am Sociol Rev [Internet]. Ago 2014 [citado 29 Jun 2021];79(4):775-806. Disponible en: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4437246/pdf/nihms684597.pdf

Published

2022-01-31

How to Cite

1.
Céspedes Panduro B. Social inequities and the COVID-19 in the Peruvian population. Mediciego [Internet]. 2022 Jan. 31 [cited 2024 Jul. 23];28(1):e3242. Available from: https://revmediciego.sld.cu/index.php/mediciego/article/view/3242

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Original article