Spatial and temporal analysis of HIV epidemic in the largest Brazilian rainforest capital
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
DOI: | 10.3390/tropicalmed7090225 |
Texto Completo: | http://hdl.handle.net/10174/32667 https://doi.org/Dias, B.R.L.; Rodrigues, T.B.; Gomes, D.; Arcêncio, R.A.; Gir, E.; Ferreira, G.R.O.N.; Polaro, S.H.I.; Botelho, E.P. The Temporal and Spatial Epidemiology Employed in the Elimination of the HIV Epidemic in the Largest Capital of the Brazilian Rainforest. Trop. Med. Infect. Dis. 2022, 7, 225. https://doi.org/10.3390/tropicalmed7090225 https://doi.org/10.3390/tropicalmed7090225 |
Resumo: | The main goal of this study was to analyze the human immunodeficiency virus (HIV) epidemic temporally and spatially in Belém from 2007 to 2018. Methods: The incidence rates were analyzed according to time using autoregressive integrated moving-average models, as well as spatially using spatial autocorrelation, Kernel density, scan statistics, and regression techniques. Results: During the study period, 6007 notifications of new cases of HIV/AIDS were reported. The time series analysis revealed a stabilized trend of incidence from 2007 to October 2016, followed by irregular fluctuations until the end of December 2018. Seasonal behavior was observed from 2019 to 2022. The high–high incidence clusters were found in the central and transition areas. An expansion of the number of new reported cases was observed in the central area. Three spatial risk zones were observed. The higher relative risk zone was concentrated in the transition area. The spatial regression showed that the incidence rates were positively correlated with the Family Health Strategy (FHS) coverage. Conclusions: To eliminate HIV in Belém, it will be necessary to decentralize testing and ART and expand the coverage of FHS to ensure universal access to healthcare for citizens. |
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Spatial and temporal analysis of HIV epidemic in the largest Brazilian rainforest capitalHIVspatial analysisTime series analysiscluster analysisThe main goal of this study was to analyze the human immunodeficiency virus (HIV) epidemic temporally and spatially in Belém from 2007 to 2018. Methods: The incidence rates were analyzed according to time using autoregressive integrated moving-average models, as well as spatially using spatial autocorrelation, Kernel density, scan statistics, and regression techniques. Results: During the study period, 6007 notifications of new cases of HIV/AIDS were reported. The time series analysis revealed a stabilized trend of incidence from 2007 to October 2016, followed by irregular fluctuations until the end of December 2018. Seasonal behavior was observed from 2019 to 2022. The high–high incidence clusters were found in the central and transition areas. An expansion of the number of new reported cases was observed in the central area. Three spatial risk zones were observed. The higher relative risk zone was concentrated in the transition area. The spatial regression showed that the incidence rates were positively correlated with the Family Health Strategy (FHS) coverage. Conclusions: To eliminate HIV in Belém, it will be necessary to decentralize testing and ART and expand the coverage of FHS to ensure universal access to healthcare for citizens.Tropical Medicine and Infectious Disease2022-11-09T14:36:50Z2022-11-092022-09-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10174/32667https://doi.org/Dias, B.R.L.; Rodrigues, T.B.; Gomes, D.; Arcêncio, R.A.; Gir, E.; Ferreira, G.R.O.N.; Polaro, S.H.I.; Botelho, E.P. The Temporal and Spatial Epidemiology Employed in the Elimination of the HIV Epidemic in the Largest Capital of the Brazilian Rainforest. Trop. Med. Infect. Dis. 2022, 7, 225. https://doi.org/10.3390/tropicalmed7090225http://hdl.handle.net/10174/32667https://doi.org/10.3390/tropicalmed7090225enghttps://www.mdpi.com/2414-6366/7/9/225brunarafaela_jm@hotmail.comtayhbr@gmail.comdmog@uevora.ptricardo@eerp.usp.bregir@eerp.usp.brglendaf@ufpa.brshpolaro@ufpa.brelipinbt@gmail.com239Dias, BrunaRodrigues, TaymaraGomes, DulceArcêncio, RicardoGir, ElucirFerreira, GlendaPolaro, SandraBotelho, Eliã Pinheiroinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-01-03T19:33:21Zoai:dspace.uevora.pt:10174/32667Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T01:21:30.979660Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Spatial and temporal analysis of HIV epidemic in the largest Brazilian rainforest capital |
title |
Spatial and temporal analysis of HIV epidemic in the largest Brazilian rainforest capital |
spellingShingle |
Spatial and temporal analysis of HIV epidemic in the largest Brazilian rainforest capital Spatial and temporal analysis of HIV epidemic in the largest Brazilian rainforest capital Dias, Bruna HIV spatial analysis Time series analysis cluster analysis Dias, Bruna HIV spatial analysis Time series analysis cluster analysis |
title_short |
Spatial and temporal analysis of HIV epidemic in the largest Brazilian rainforest capital |
title_full |
Spatial and temporal analysis of HIV epidemic in the largest Brazilian rainforest capital |
title_fullStr |
Spatial and temporal analysis of HIV epidemic in the largest Brazilian rainforest capital Spatial and temporal analysis of HIV epidemic in the largest Brazilian rainforest capital |
title_full_unstemmed |
Spatial and temporal analysis of HIV epidemic in the largest Brazilian rainforest capital Spatial and temporal analysis of HIV epidemic in the largest Brazilian rainforest capital |
title_sort |
Spatial and temporal analysis of HIV epidemic in the largest Brazilian rainforest capital |
author |
Dias, Bruna |
author_facet |
Dias, Bruna Dias, Bruna Rodrigues, Taymara Gomes, Dulce Arcêncio, Ricardo Gir, Elucir Ferreira, Glenda Polaro, Sandra Botelho, Eliã Pinheiro Rodrigues, Taymara Gomes, Dulce Arcêncio, Ricardo Gir, Elucir Ferreira, Glenda Polaro, Sandra Botelho, Eliã Pinheiro |
author_role |
author |
author2 |
Rodrigues, Taymara Gomes, Dulce Arcêncio, Ricardo Gir, Elucir Ferreira, Glenda Polaro, Sandra Botelho, Eliã Pinheiro |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Dias, Bruna Rodrigues, Taymara Gomes, Dulce Arcêncio, Ricardo Gir, Elucir Ferreira, Glenda Polaro, Sandra Botelho, Eliã Pinheiro |
dc.subject.por.fl_str_mv |
HIV spatial analysis Time series analysis cluster analysis |
topic |
HIV spatial analysis Time series analysis cluster analysis |
description |
The main goal of this study was to analyze the human immunodeficiency virus (HIV) epidemic temporally and spatially in Belém from 2007 to 2018. Methods: The incidence rates were analyzed according to time using autoregressive integrated moving-average models, as well as spatially using spatial autocorrelation, Kernel density, scan statistics, and regression techniques. Results: During the study period, 6007 notifications of new cases of HIV/AIDS were reported. The time series analysis revealed a stabilized trend of incidence from 2007 to October 2016, followed by irregular fluctuations until the end of December 2018. Seasonal behavior was observed from 2019 to 2022. The high–high incidence clusters were found in the central and transition areas. An expansion of the number of new reported cases was observed in the central area. Three spatial risk zones were observed. The higher relative risk zone was concentrated in the transition area. The spatial regression showed that the incidence rates were positively correlated with the Family Health Strategy (FHS) coverage. Conclusions: To eliminate HIV in Belém, it will be necessary to decentralize testing and ART and expand the coverage of FHS to ensure universal access to healthcare for citizens. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-11-09T14:36:50Z 2022-11-09 2022-09-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10174/32667 https://doi.org/Dias, B.R.L.; Rodrigues, T.B.; Gomes, D.; Arcêncio, R.A.; Gir, E.; Ferreira, G.R.O.N.; Polaro, S.H.I.; Botelho, E.P. The Temporal and Spatial Epidemiology Employed in the Elimination of the HIV Epidemic in the Largest Capital of the Brazilian Rainforest. Trop. Med. Infect. Dis. 2022, 7, 225. https://doi.org/10.3390/tropicalmed7090225 http://hdl.handle.net/10174/32667 https://doi.org/10.3390/tropicalmed7090225 |
url |
http://hdl.handle.net/10174/32667 https://doi.org/Dias, B.R.L.; Rodrigues, T.B.; Gomes, D.; Arcêncio, R.A.; Gir, E.; Ferreira, G.R.O.N.; Polaro, S.H.I.; Botelho, E.P. The Temporal and Spatial Epidemiology Employed in the Elimination of the HIV Epidemic in the Largest Capital of the Brazilian Rainforest. Trop. Med. Infect. Dis. 2022, 7, 225. https://doi.org/10.3390/tropicalmed7090225 https://doi.org/10.3390/tropicalmed7090225 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://www.mdpi.com/2414-6366/7/9/225 brunarafaela_jm@hotmail.com tayhbr@gmail.com dmog@uevora.pt ricardo@eerp.usp.br egir@eerp.usp.br glendaf@ufpa.br shpolaro@ufpa.br elipinbt@gmail.com 239 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Tropical Medicine and Infectious Disease |
publisher.none.fl_str_mv |
Tropical Medicine and Infectious Disease |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1822181950246354944 |
dc.identifier.doi.none.fl_str_mv |
10.3390/tropicalmed7090225 |