Evidence map›Paper›PMID 31344355›Full record

ArticleThe Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases

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

Antonio Victor Campos Coelho, Hemílio Fernandes Campos Coelho, Luiz Cláudio Arraes, Sergio Crovella

Abstract read
In one paragraph

Article in The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Antonio Victor Campos CoelhoUniversidade Federal da Paraíba. Departamento de Biologia Molecular, João Pessoa, PB, Brazil; Universidade Federal de Pernambuco, Departamento de Genética, Recife, PE, Brazil. Electronic address: antoniocampos@dbm.ufpb.br.
Hemílio Fernandes Campos CoelhoUniversidade Federal da Paraíba. Departamento de Estatística, João Pessoa, PB, Brazil.
Luiz Cláudio ArraesUniversidade Federal de Pernambuco, Departamento de Medicina Tropical, Recife, PE, Brazil; Instituto de Medicina Integral Professor Fernando Figueira, Recife, PE, Brazil.
Sergio CrovellaUniversidade Federal de Pernambuco, Departamento de Genética, Recife, PE, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

HIV-1AdolescentAdultBrazilChildFemaleForecastingHIV InfectionsHumansInfectious Disease Transmission, VerticalLinear ModelsMiddle AgedPregnancyPregnancy Complications, InfectiousPrevalenceTime FactorsBiostatisticsEpidemiologyForecastingHIV-1Perinatal transmissionVertical transmission

Identifiers

PMID31344355
PMCPMC9427819

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.