SPATIAL ANALYSIS OF CASES AND DEATHS OF COVID-19 IN THE STATE OF PARAÍBA, BRAZIL
DOI:
https://doi.org/10.26512/2236-56562023e40334Keywords:
Pandemias, Análise por Conglomerados, Epidemiologia, Gestão em SaúdeAbstract
Introduction: Statistical analyses that consider geographic space an important variable for decision making produce results that transcend traditional analyses. Objective: The objective was to perform a spatial analysis of cases and deaths of COVID-19 in the state of Paraíba, Brazil. Materials and methods: Ecological study, using the database of the State Department of Health of Paraíba, between March 19, 2020 and July 15, 2021. Descriptive statistics, Spatial Incidence Ratio and Scan statistics were used for data analysis. Results: Individuals from 30 to 39 (23.05%), female (55.99%) and brown race/color (68.15%) were the most affected; the capital was the first epicenter of COVID-19 in the state. The disease spread from large towns to small towns, often fixating on small towns to the west of the state. Discussion: With the flexibilization of activities, there was a geographical migration of cases and deaths to the south and north of the state; the geographical distribution of the disease in the vicinity of the state's main highway spread to the west and overwhelmed its health system. Conclusion: Managers with this information can make efficient decisions and outline effective and specific public policies to combat COVID-19 in the state.
References
AGÊNCIA EXECUTIVA DE GESTÃO DAS ÁGUAS DO ESTADO DA PARAÍBA (AESA). Malha digital das rodovias do estado da Paraíba. Paraíba, 2020. Disponível em: http://geoserver.aesa.pb.gov.br/geoprocessamento/geoportal/shapes.html. Acesso em: 09 de jul. de 2020.
BOULOS, M. N. K.; GERAGHTY, E. M. Geographical tracking and mapping of coronavirus disease COVID-19/severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) epidemic and associated events around the world: how 21st century GIS technologies are supporting the global fight against outbreaks and epidemics. Int J Health Geogr., v. 19, n. 8, 2020. https://doi.org/10.1186/s12942-020-00202-8
BRASIL. Ministério da Saúde. CORONAVÍRUS BRASIL. Brasília (DF), 2021. Disponível em: https://covid.saude.gov.br/. Acesso em: 15 de jul. de 2021
BRASIL. Ministério da Saúde. Diretrizes para diagnóstico e tratamento da COVID-19. Brasília (DF), 2020. Disponível em: https://portalarquivos.saude.gov.br/images/pdf/2020/May/08/Diretriz-Covid19-v4-07-05.20h05m.pdf. Acesso em: 25 de jul. de 2021.
CENTERS FOR DISEASE CONTROL AND PREVENTION (CDC). Geographic Differences in COVID-19 Cases, Deaths, and Incidence - United States 2020. MMWR Morb Mortal Wkly Rep., v. 69, n. 15, p. 465-71, 2020. https://doi.org/10.15585/mmwr.mm6915e4
CONSELHO NACIONAL DE SECRETÁRIOS DE SAÚDE (CONASS). PAINEL CONASS COVID-19. Brasília (DF), 2021. Disponível em: https://www.conass.org.br/painelconasscovid19/. Acesso em: 10 de jul. de 2021.
DAVIES, S. E.; BENNETT, B. A gendered human rights analysis of Ebola and Zika: locating gender in global health emergencies. International Affairs, v. 92, n. 5, p. 1041-60, 2016. https://doi.org/10.1111/1468-2346.12704
DOLFUD, O. O espaço geográfico. Rio de Janeiro: Bertrand Brasil, 1991.
FUNDAÇÃO OSWALDO CRUZ. Ministério da Saúde. Boletim Observatório Covid-19. Rio de Janeiro, 2021. Disponível em: https://portal.fiocruz.br/sites/portal.fiocruz.br/files/documentos/boletim_covid_2021_semanas_27_28.pdf. Acesso em: 14 de jul. de 2021.
HUANG, C. et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The lancet, v. 395, p. 497-506. https://doi.org/10.1016/S0140-6736(20)30183-5
INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATÍSTICA (IBGE). Divisão regional do Brasil em regiões geográficas imediatas e regiões geográficas intermediárias. Rio de Janeiro, 2017. Disponível em: https://biblioteca.ibge.gov.br/visualizacao/livros/liv100600.pdf. Acesso em: 10 de jun. de 2020.
INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATÍSTICA (IBGE). Estimates of the Resident Population in Brazilian Municipalities in 2021. Rio de Janeiro, 2021. Disponível em: https://www.ibge.gov.br/en/statistics/social/population/18176-populationprojection.html?=&t=resultados. Acesso em: 16 de jul. de 2021.
INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATÍSTICA (IBGE). Malha digital do estado da Paraíba: situação em 2015. Rio de Janeiro, 2015. Disponível em: https://mapas.ibge.gov.br/bases-e-referenciais/bases-cartograficas/malhas-digitais. Acesso em: 10 de jun. de 2021.
INSTITUTO BRASILEIRO DE GEOGRAFIA E ESTATÍSTICA (IBGE). Pesquisa Nacional por Amostra de Domicílios Contínua: Características gerais dos domicílios e dos moradores 2019. Rio de Janeiro, 2019. https://biblioteca.ibge.gov.br/visualizacao/livros/liv101707_informativo.pdf. Acesso em: 22 de jul. de 2021.
JOHNS HOPKINS UNIVERSITY. CSSE Coronavirus COVID-19 Global Cases (dashboard). United States, 2020. Disponível em: https://gisanddata.maps.arcgis.com/apps/opsdashboard/index.html#/bda7594740fd40299423467b48e9ecf6. Acesso em: 10 de abr. de 2020.
KUCHLER, T.; RUSSEL, D.; STROEBEL, J. JUE Insight: The geographic spread of COVID-19 correlates with the structure of social networks as measured by Facebook. J. Urban Econ., 2021. https://doi.org/10.1016/j.jue.2020.103314
KULLDORFF, M.; NAGARWALLA, N. Spatial disease clusters: detection and inference. Statistics in Medicine, v. 14, v. 8, p. 799-10, 1995. https://doi.org/10.1002/sim.4780140809
LAI, P. C. et al. Understanding the spatial clustering of severe acute respiratory syndrome (SARS) in Hong Kong. Environ Health Perspect., v. 112, n. 15, p. 1550-1556, 2005. https://doi.org/10.1289/ehp.7117
MORROW-HOWELL, N.; GALUCIA, N.; SWINFORD E. Recovering from the COVID-19 Pandemic: a focus on older adults. J Aging Soc Policy, v. 32, n. 4, p. 1-10, 2020. https://doi.org/10.1080/08959420.2020.1759758
ORGANIZAÇÃO PAN-AMERICANA DA SAÚDE (OPAS). Módulo de Princípios de Epidemiologia para o Controle de Enfermidades (MOPECE): controle de doenças na população. Brasília (DF), 2010. Disponível em: https://bvsms.saude.gov.br/bvs/publicacoes/modulo_principios_epidemiologia_6.pdf. Acesso em: 29 de jul. de 2021.
PARAÍBA (Estado). Secretaria de Estado da Saúde. Dados Epidemiológicos. Paraíba, 2021. Disponível em: https://superset.plataformatarget.com.br/superset/dashboard/55/. Acesso em: 15 de jul. de 2021.
PEDROSA, N.L.; ALBUQUERQUE, N. L. S. Análise Espacial dos Casos de COVID-19 e leitos de terapia intensiva no estado do Ceará, Brasil. Ciênc. saúde coletiva, v. 25, suppl 1, 2020. https://doi.org/10.1590/141381232020256.1.10952020
PINTO, M. M. P. S. et al. ANÁLISE COMPARATIVA DE MÉTODOS DE AGLOMERAÇÃO ESPACIAL PARA ESTUDOS EPIDEMIOLÓGICOS. Espaço & Geografia, v. 22, n. 1, p. 683-706, 2019. Disponível em: http://www.lsie.unb.br/espacoegeografia/index.php/espacoegeografia/article/view/618/330. Acesso em: 15 de jul. 2021.
ROUQUAYROL, M. Z.; GURGEL, M. Epidemiologia & Saúde. 8 ed. Rio de Janeiro: Medbook, 2018.
SÁ, L. R. et al. New Combining Rules for Spatial Clustering Methods Using Sigma-Count for Spatial Epidemiology. International Conference on Decision Aid Sciences and Application (DASA). 2020. https://doi:10.1109/DASA51403.2020.9317161
SANTOS, M. P. A. et al. População negra e Covid-19: reflexões sobre racismo e saúde. Estudos Avançados, v. 34, n. 99, 2020. https://doi.org/10.1590/s0103-4014.2020.3499.014
SIEGEL, S. Estatística não-Paramétrica para as ciências do comportamento. 2 ed. São Paulo: Bookman, 2006.
SMITH, J. Overcoming the ‘tyranny of the urgent’: integrating gender into disease outbreak preparedness and response. Gender & Development, v. 27, n. 2, p. 355-69, 2019. https://doi.org/10.1080/13552074.2019.1615288
WENHAM, C.; SMITH, J.; MORGAN, R. COVID-19: the gendered impacts of the outbreak. The Lancet, v. 3, n. 5, p. 846-848, 2020. https://doi.org/10.1016/S0140-6736(20)30526-2
WORBOYS, M. F. GIS: A computing Perspective. London: Taylor and Francis, 1995.
WORLD HEALTH ORGANIZATION. WHO Coronavirus (COVID-19) Dashboard. Geneva, 2020. Disponível em: https://covid19.who.int/. Acesso em: 15 de jul. de 2021.
WU, F. et al. A new coronavirus associated with human respiratory disease in China. Nature, v. 579, p. 265–9, 2020. https://doi.org/10.1038/s41586-020-2008-3
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