Cargando…

HIV-1 mother-to-child transmission in Brazil (1994–2016): a time series modeling

HIV-1 mother-to-child transmission (HIV-1 MTCT), is an important cause of children mortality worldwide. Brazil has been traditionally praised by its HIV/Aids program, which provides free-of-charge care for people living with HIV-1. Using public epidemiology and demographic databases, we aimed at mod...

Descripción completa

Detalles Bibliográficos
Autores principales: Campos Coelho, Antonio Victor, Campos Coelho, Hemílio Fernandes, Arraes, Luiz Cláudio, Crovella, Sergio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427819/
https://www.ncbi.nlm.nih.gov/pubmed/31344355
http://dx.doi.org/10.1016/j.bjid.2019.06.012
_version_ 1784778980417601536
author Campos Coelho, Antonio Victor
Campos Coelho, Hemílio Fernandes
Arraes, Luiz Cláudio
Crovella, Sergio
author_facet Campos Coelho, Antonio Victor
Campos Coelho, Hemílio Fernandes
Arraes, Luiz Cláudio
Crovella, Sergio
author_sort Campos Coelho, Antonio Victor
collection PubMed
description HIV-1 mother-to-child transmission (HIV-1 MTCT), is an important cause of children mortality worldwide. Brazil has been traditionally praised by its HIV/Aids program, which provides free-of-charge care for people living with HIV-1. Using public epidemiology and demographic databases, we aimed at modeling HIV-1 MTCT prevalence in Brazil through the years (1994–2016) and elaborate a statistical model for forecasting, contributing to HIV-1 epidemiologic surveillance and healthcare decision-making. We downloaded sets of live births and mothers’ data alongside HIV-1 cases notification in children one year old or less. Through time series modeling, we estimated prevalence along the years in Brazil, and observed a remarkable decrease of HIV-1 MTCT between 1994 (10 cases per 100,000 live births) and 2016 (five cases per 100,000 live births), a reduction of 50%. Using our model, we elaborated a prognosis for each Brazilian state to help HIV-1 surveillance decision making, indicating which states are in theory in risk of experiencing a rise in HIV-1 MTCT prevalence. Ten states had good (37%), nine had mild (33%), and eight had poor prognostics (30%). Stratifying the prognostics by Brazilian region, we observed that the Northeast region had more states with poor prognosis, followed by North and Midwest, Southeast and South with one state of poor prognosis each. Brazil undoubtedly advanced in the fight against HIV-1 MTCT in the past two decades. We hope our model will help indicating where HIV-1 MTCT prevalence may rise in the future and support government decision makers regarding HIV-1 surveillance and prevention.
format Online
Article
Text
id pubmed-9427819
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-94278192022-09-01 HIV-1 mother-to-child transmission in Brazil (1994–2016): a time series modeling Campos Coelho, Antonio Victor Campos Coelho, Hemílio Fernandes Arraes, Luiz Cláudio Crovella, Sergio Braz J Infect Dis Original Article HIV-1 mother-to-child transmission (HIV-1 MTCT), is an important cause of children mortality worldwide. Brazil has been traditionally praised by its HIV/Aids program, which provides free-of-charge care for people living with HIV-1. Using public epidemiology and demographic databases, we aimed at modeling HIV-1 MTCT prevalence in Brazil through the years (1994–2016) and elaborate a statistical model for forecasting, contributing to HIV-1 epidemiologic surveillance and healthcare decision-making. We downloaded sets of live births and mothers’ data alongside HIV-1 cases notification in children one year old or less. Through time series modeling, we estimated prevalence along the years in Brazil, and observed a remarkable decrease of HIV-1 MTCT between 1994 (10 cases per 100,000 live births) and 2016 (five cases per 100,000 live births), a reduction of 50%. Using our model, we elaborated a prognosis for each Brazilian state to help HIV-1 surveillance decision making, indicating which states are in theory in risk of experiencing a rise in HIV-1 MTCT prevalence. Ten states had good (37%), nine had mild (33%), and eight had poor prognostics (30%). Stratifying the prognostics by Brazilian region, we observed that the Northeast region had more states with poor prognosis, followed by North and Midwest, Southeast and South with one state of poor prognosis each. Brazil undoubtedly advanced in the fight against HIV-1 MTCT in the past two decades. We hope our model will help indicating where HIV-1 MTCT prevalence may rise in the future and support government decision makers regarding HIV-1 surveillance and prevention. Elsevier 2019-07-22 /pmc/articles/PMC9427819/ /pubmed/31344355 http://dx.doi.org/10.1016/j.bjid.2019.06.012 Text en © 2019 Sociedade Brasileira de Infectologia. Published by Elsevier España, S.L.U. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Original Article
Campos Coelho, Antonio Victor
Campos Coelho, Hemílio Fernandes
Arraes, Luiz Cláudio
Crovella, Sergio
HIV-1 mother-to-child transmission in Brazil (1994–2016): a time series modeling
title HIV-1 mother-to-child transmission in Brazil (1994–2016): a time series modeling
title_full HIV-1 mother-to-child transmission in Brazil (1994–2016): a time series modeling
title_fullStr HIV-1 mother-to-child transmission in Brazil (1994–2016): a time series modeling
title_full_unstemmed HIV-1 mother-to-child transmission in Brazil (1994–2016): a time series modeling
title_short HIV-1 mother-to-child transmission in Brazil (1994–2016): a time series modeling
title_sort hiv-1 mother-to-child transmission in brazil (1994–2016): a time series modeling
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9427819/
https://www.ncbi.nlm.nih.gov/pubmed/31344355
http://dx.doi.org/10.1016/j.bjid.2019.06.012
work_keys_str_mv AT camposcoelhoantoniovictor hiv1mothertochildtransmissioninbrazil19942016atimeseriesmodeling
AT camposcoelhohemiliofernandes hiv1mothertochildtransmissioninbrazil19942016atimeseriesmodeling
AT arraesluizclaudio hiv1mothertochildtransmissioninbrazil19942016atimeseriesmodeling
AT crovellasergio hiv1mothertochildtransmissioninbrazil19942016atimeseriesmodeling