Morbidity and mortality caused by Covid-19 in the 144 municipalities of the 13 health regions of the state of Pará
DOI:
https://doi.org/10.33448/rsd-v12i10.43578Keywords:
Covid-19; Pandemic; Epidemiology; Health regions; Pará.Abstract
Pará was one of the states in Brazil most affected by the Coronavirus pandemic, especially due to demographic, health infrastructure and socioeconomic differences between its 13 Health Regions. This article aims to present the epidemiological profile of Covid-19 and potential correlations with the demographic, socioeconomic and health services profile in the 144 municipalities of the 13 Health Regions of Pará. This is a cross-sectional, descriptive, quantitative, and qualitative study, with the years 2020, 2021 and 2022 as a time frame. It was observed that 2020 was the year with the highest number of cases of Covid-19 in Pará, while 2021 had the highest number of deaths. Correlation analyzes between Covid-19 Mortality Rate and socioeconomic and demographic variables proved to be weak, due to potential bias in socioeconomic data and the high complexity of the test.
References
Antonini, M., Eid, M. A., Falkenbach, M., Rosenbluth, S. T., Prieto, P. A., Brammli-Greenberg, S., McMeekin, P., & Paolucci, F. (2022). An analysis of the COVID-19 vaccination campaigns in France, Israel, Italy and Spain and their impact on health and economic outcomes. Health policy and technology, 11(2), 100594. https://doi.org/10.1016/j.hlpt.2021.100594
Ayres, M. (2012). Elementos de Bioestatística: A Seiva do Açaizeiro. (2a ed.).
Brandão, C. C., Mendonça, A. V. M., & Sousa, M. F. (2023). O Ministério da Saúde e a gestão do enfrentamento à pandemia de Covid-19 no Brasil. Saúde Em Debate, 47(137), 58–75. https://doi.org/10.1590/0103-1104202313704
Brasil. (2021). Ministério da Saúde. Painel coronavírus: Coronavírus Brasil. https://covid.saude.gov.br/.
Costa, B. W. B., Lima, G. C., Macedo, C. L., Pereira, C. F., & Soler, O. (2022). Evidence on pharmaceutical services related to the treatment of Covid-19: Integrative review. Research, Society and Development, 11(12), e126111234300. https://doi.org/10.33448/rsd-v11i12.34300
El Jai, M., Zhar, M., Ouazar, D., Akhrif, L. & Saidou, N. (2022). Socio-economic analysis of short-term trends of COVID-19: modeling and data analytics. BMC Public Health 22, 1633. https://doi.org/10.1186/s12889-022-13788-4
Fatima, M., O'Keefe, K. J., Wei, W., Arshad, S., & Gruebner, O. (2021). Geospatial Analysis of COVID-19: A Scoping Review. International journal of environmental research and public health, 18(5), 2336. https://doi.org/10.3390/ijerph18052336
Gao, L., Zheng, C., Shi, Q., Xiao, K., Wang, L., Liu, Z., Li, Z. & Dong, X. (2022). Evolving trends change during the COVID-19 pandemic. Frontiers in public health, 10:957265. DOI: https://doi.org/10.3389/fpubh.2022.957265. https://www.frontiersin.org/articles/10.3389/fpubh.2022.957265/full.
Kawachi I. (2020). COVID-19 and the 'rediscovery' of health inequities. International journal of epidemiology, 49(5), 1415–1418. https://doi.org/10.1093/ije/dyaa159
Lima-Costa, M. F., Melo-Mambrini, J. V., Bof de Andrade, F., de Souza, P. R. B., de Vasconcellos, M. T. L., Neri, A. L., Castro-Costa, E., Macinko, J., & de Oliveira, C. (2023). Cohort Profile: The Brazilian Longitudinal Study of Ageing (ELSI-Brazil). International journal of epidemiology, 52(1), e57–e65. https://doi.org/10.1093/ije/dyac132
Lu, C. W., Liu, X. F., & Jia, Z. F. (2020). 2019-nCoV transmission through the ocular surface must not be ignored. Lancet (London, England), 395(10224), e39. https://doi.org/10.1016/S0140-6736(20)30313-5
Lutz, P. B., Chongyang, Duan., Anca, D., & Dragomir, G. L. (2021). Using dagR to identify minimal sufficient adjustment sets and to simulate data based on directed acyclic graphs, International Journal of Epidemiology, 50(6):1772–1777, https://doi.org/10.1093/ije/dyab167
Malagon, J. C. (2022). Que países foram melhores na gestão da pandemia? Mutualidad de la Agrupación de Propritarios de Fincas Rústicas de España (MAPFRE), https://www.mapfre.com/pt-br/actualidade/economia-pt-br/paises-melhores-gestao-pandemia/.
Manjuba, B. H. (2020). The Socio-Economic Implications of the Coronavirus Pandemic (COVID-19): A Review. ComFin Research, 8(4):8–17. DOI: https://doi.org/10.34293/commerce.v8i4.3293. https://shanlaxjournals.in/journals/index.php/commerce/article/view/3293.
Pará. Conselho Intergestor Bipartite (CIB). Colegiado de Secretários Municipais de Saúde (COSEMS-PA). (2013). Resolução nº 90, de 12 de junho de 2013. Repactua o desenho de Regionalização do Estado do Pará, passando a ser conformado por 13 Regiões de Saúde. Belém, Pará.
Pará. Secretaria de Estado de Saúde do Pará (SESPA). (2022). Coronavírus – SESPA. http://www.saude.pa.gov.br/rede-sespa/coronavirus/.
Silva, I. P., Araújo, M. R. L., Sousa Junior, J. R. T., Silva, A. S., Queiroz, L. M. D., Passos, M. M. B., & Soler, O. (2021). Profile of prescriptions of drugs for Covid-19 at the General Hospital of Unimed, Belém, Pará, Amazon. Research, Society and Development, 10(15), e123101522698. https://doi.org/10.33448/rsd-v10i15.22698
Simegn, G. D., Bayable, S. D., & Fetene, M. B. (2021). Prevention and management of perioperative hypothermia in adult elective surgical patients: A systematic review. Annals of medicine and surgery (2012), 72, 103059. https://doi.org/10.1016/j.amsu.2021.103059
Souza, M. M. C., & Costa, A. P. (2018). Fundamentos Teóricos das Técnicas de Investigação Qualitativa. Revista Lusófona de Educação, (40), 11-25. https://doi.org/10.24140/issn.1645-7250.rle40.01
Victora, P. C., Castro, P. M. C., Gurzenda, S., Medeiros, A. C., França, G. V. A., & Barros, P. A. J. D. (2021). Estimating the early impact of vaccination against COVID-19 on deaths among elderly people in Brazil: Analyses of routinely-collected data on vaccine coverage and mortality. EClinicalMedicine, 38, 101036. https://doi.org/10.1016/j.eclinm.2021.101036
Vieira, S. Bioestatística: tópicos avançados. (2010). (3a ed.) Elsevier.
Wiersinga, W. J., Rhodes, A., Cheng, A. C., Peacock, S. J., & Prescott, H. C. (2020). Pathophysiology, Transmission, Diagnosis, and Treatment of Coronavirus Disease 2019 (COVID-19): A Review. JAMA, 324(8), 782–793. https://doi.org/10.1001/jama.2020.12839
Word Health Organization (WHO). (2023). Modes of transmission of virus causing COVID-19: implications for IPC precaution recommendations (who.int)
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 Caio Leonardo Macedo; Bruno Wesley Bezerra Costa; Gustavo Campos de Lima; Antônio dos Santos Silva; Orenzio Soler
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors who publish with this journal agree to the following terms:
1) Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
2) Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
3) Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work.
