Pre-pandemic factors for SARS-COV-2 in Latin America and its impact on the Mortality Rate

Authors

DOI:

https://doi.org/10.51723/ccs.v32i03.974

Keywords:

Coronavirus Infectious, Latin America, Mortality, Public Health Administration

Abstract

Introduction: COVID-19 has affected countries in an unequal way. From the analysis of the current situation in Latin America, we sought to measure the association between factors intrinsic to the pandemic and the mortality rate.

Objective: to analyze the relationship between pre-pandemic factors and intrinsic factors to the pandemic that contributed to the spread  of COVID-19 in Latin America.

Method: descriptive and cross-sectional study. An analysis of pre-pandemic socioeconomic and health data from the countries that make up Latin America was carried out. Then, the correlation of these indicators with a mortality rate by COVID-19 was performed.

Results: among the 11 indicators analyzed, only two had a strong correlation with the mortality rate: "number of confirmed cases of COVID-19" and "total number of deaths from COVID-19". there wasn't a strong correlation with the other socioeconomic factors analyzed

Conclusion: pre-pandemic socioeconomic and health factors did not impact or were moderately related to the mortality rate.

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Author Biographies

  • Ananda Cristine Amador de Moura, Escola Superior de Ciências da Saúde - ESCS

    Acadêmica de Medicina da Escola Superior de Ciências da Saúde (ESCS). Brasília, DF, Brasil

  • Rubem Davi de Paiva Cunha, Escola Superior de Ciências da Saúde - ESCS

    Acadêmico do Curso de Medicina da Escola Superior de Ciências da Saúde (ESCS). Brasília, DF, Brasil

  • Carlos Eduardo Siqueira, University of Massachusetts Boston

    Médico. Mestrado em Saúde Pública pela Johns Hopkins University. Doutorado em Work Environment Policy - University of Massachusetts Lowell. Professor associado na Escola de Meio Ambiente (School for the Environment) da Universidade de Massachusetts Boston, Estados Unidos.

  • Thereza de Lamare Franco Netto, Escola Nacional de Saúde Pública Sergio Arouca - FIOCRUZ

    Mestrado em Política Social pela Universidade de Brasília.

  • Márcio Florentino Pereira, Universidade Federal do Sul da Bahia

    Odontólogo. Mestrado e Doutorado em Ciências da Saúde (UnB). Diretor Técnico de Extensão da UnB

  • Edsaura Maria Pereira, Universidade Federal de Goiás - UFG

    Odontóloga. Mestrado em Saúde Coletiva pela Universidade Federal da Bahia e Doutora em Ciências da Saúde pela Faculdade de Ciências da Saúde da UNB.

  • Roberto José Bittencourt, Escola Superior de Ciências da Saúde - ESCS

    Médico. Mestrado em Medicina (Medicina Tropical) pela Universidade Federal de Minas Gerais. Doutor em Saúde Pública, pela Escola Nacional de Saúde Pública (ENSP / Fiocruz - RJ).

References

Organização Mundial da Saúde. WHO Director-General 's Opening Remarks at the Media Briefing on COVID-19. Disponível em: https://www.who.int/dg/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020 /acesso em 23 de fevereiro de 2021.

Xiang Z, Xudong M, Na H, Longxiang S, Yingying M, Jie H et al. Forecasting the worldwide spread of COVID-19 based on logistic model and SEIR mode. medRxiv [online]. March 2020. Disponível em: https://doi.org/10.1101/2020.03.26.20044289

Hamzah FA, Lau CH, Nazri H, Ligot DV, Lee G, Tan CL et al. CoronaTracker: worldwide COVID-19 outbreak data analysis and prediction. Bull World Health Organ. 2020 March 2020 19. Available from: https://www.who.int/bulletin/online_first/20-255695.pdf

Johns Hopkins Coronavirus Resource Center. COVID-19 Map. 2020. Disponível em: https://coronavirus.jhu.edu/map.html/acesso em 23 de agosto de 2020.

Lowy Institute: COVID Performance Index. Low Inst. 2021. Available from: https://interactives.lowyinstitute.org/features/covid-performance/#methodology/acesso em: 10 de fevereiro de 2021.

Johns Hopkins University. COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE). 2020. Disponível em: https://coronavirus.jhu.edu/map.html/acesso em 07 de março de 2021.

Bernal-Meza R. Multilateralismo e unilateralismo na política mundial: América Latina frente à ordem mundial em transição. Rev Bras Pol Int. 2005; 48, 5-23. Disponível em: https://doi.org/10.1590/S0034-73292005000100001

CEPAL. Salud y economía: una convergencia sostenible en América Latina y retomar la senda hacia el desarrollo necesaria para enfrentar el COVID-19 y el Caribe. 2020. CEPAL, 27. Disponível em: https://www.cepal.org/es/publicaciones/45840-salud-economia-convergencia-necesaria-enfrentar-covid-19-retomar-la-senda /acesso em 19 de agosto de 2021.

Garcia PJ, Alarcón A, Bayer A, Buss P, Guerra G, Ribeiro H, et al. COVID-19 Response in Latin America. The Am Jou Trop Med and Hyg. 2020, 103(5), 1765-1772. Available from https://www.ajtmh.org/view/journals/tpmd/103/5/article-p1765.xml

Brasil. Instituto Brasileiro de Geografia e Estatística. Países. Disponível em: https://paises.ibge.gov.br/#/ acesso em 10 de fevereiro de 2021.

The World Bank. World Bank national accounts data, and OECD National Accounts data files. 2021. Available from: https://data.worldbank.org/indicator/NY.GDP.MKTP.CD /access 2021 February 19

Organizações das Nações Unidas. Relatório do Desenvolvimento Humano 2019. Disponível em: http://hdr.undp.org/sites/default/files/hdr_2019_pt.pdf /acesso em 10 de agosto de 2021.

UNICEF. Every Child Life - report. 2018. Disponível em: https://weshare.unicef.org/Package/2AMZIF2P99KK /acesso em 19 de fevereiro de 2021.

CEPAL. Observatório de Igualdade de Gênero da América Latina e do Caribe. 2017. Disponível em: https://oig.cepal.org/pt/indicadores/mortalidade-materna /acesso em 19 de fevereiro de 2021.

World Health Organization. Coronavirus (COVID-19) Dashboard. 2020. Available from: https://covid19.who.int /access 2020 November 5.

Mukaka MM. Statistics corner: A guide to appropriate use of correlation coefficient in medical research. Malawi Med J. 2012 Sep; 24(3): 69-71. Available from: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3576830/

Buss PM, Filho AP. A saúde e seus determinantes sociais. Physis. 2007; 77-93. Disponível em: https://doi.org/10.1590/S0103-73312007000100006

Carrapato P, Correia P, Garcia B. Determinante da saúde no Brasil: a procura da equidade na saúde. Sau e Soc [online]. 2017, v. 26, n. 3. Disponível em: https://doi.org/10.1590/S0104-12902017170304

Proaño CR. On the Macroeconomic and Social Impact of the Coronavirus Pandemic in Latin America and the Developing World. Interec. 2020; 55, 159–162. Disponível em: https://doi.org/10.1007/s10272-020-0889-x

Cruz ER, Grin EJ, Sanabria-Pulido P, Cravacuore D, Orellana A. The Transaction Costs of Government Responses to the COVID-19 Emergency in Latin America. Public Adm Rev. 2020; 80, 683–695. Disponível em: https://doi.org/10.1111/puar.13259

Litewka SG, Heitman E. Latin American healthcare systems in times of pandemic. Devel World Bioe. 2020; 20, 69–73. https://doi.org/10.1111/dewb.12262

Castro MC, Kim S, Barberia L, Ribeiro AF, Gurzenda S, Ribeiro KB, Abbott E, Blossom J, Rache B, Singer BH. Spatiotemporal pattern of COVID-19 spread in Brazil. Science. 2021 May 21;372 (6544): 821-826. Disponível em: https:// 10.1126/science.abh1558.

Ferigato S, Fernandez M, Amorim M, Ambrogi I, Fernandes LMM, Pacheco R. The Brazilian Government's mistakes in responding to the COVID-19 pandemic. Lancet. 2020 Nov 21;396 (10263): 1636. Disponível em: https://10.1016/S0140-6736(20)32164-4.

World Health Organization. Transmission of SARS-CoV-2: implications for infection prevention precautions: scientific brief. 2020 July 9. Available from: https://www.who.int/news-room/commentaries/detail/transmission-of-sars-cov-2-implications-for-infection-prevention-precautions

United States of America. Centers for Disease Control and Prevention. .Scientific Brief: SARS-Cov-2 Transmission. 2020. Available from: https://www.cdc.gov/coronavirus/2019-ncov/science/science-briefs/sars-cov-2-transmission.html /access 10 august 2021.

Organização Mundial da Saúde. COVID 19 Strategy Update. 2020. Disponível em: https://www.who.int/docs/default-source/coronaviruse/covid-strategy-update-14april2020.pdf?sfvrsn=29da3ba0_19 /acesso em 21 de fevereiro de 2021.

Jasanoff S, Kennedy H, Hilgartner S, Rayzberg M. Comparative Covid Response: Crisis, Knowledge, Politics. 2021. Available from: https://www.ingsa.org/covidtag/covid-19-commentary/jasanoff-schmidt/

World Economic Forum. Latin America is the World’s Most Unequal Region: Here’s How to Fix it. 2016. Disponível em: https://www.weforum.org/agenda/2016/01/inequality-is-getting-worse-in-latin-america-here-s-how-to-fix-it /acesso em 21 de fevereiro de 2020.

Hecksher M. Mortalidade por COVID-19 e a queda do emprego no Brasil e no Mundo. Instituto de Pesquisa Econômica Aplicada (IPEA). 2021. Disponível em: https://www.ipea.gov.br/portal/index.php?option=com_content&view=article&id=37981&Itemid=457

Taylor L. How Latin America is fighting covid-19, for better and worse. The BMJ. 2020; 370. https://doi.org/10.1136/bmj.m3319

Published

2021-09-24

Issue

Section

Saúde Coletiva

How to Cite

1.
Pre-pandemic factors for SARS-COV-2 in Latin America and its impact on the Mortality Rate. Com. Ciências Saúde [Internet]. 2021 Sep. 24 [cited 2024 Nov. 22];32(03). Available from: https://revistaccs.espdf.fepecs.edu.br/index.php/comunicacaoemcienciasdasaude/article/view/974

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