Evidence map›Paper›PMID 40608608›Full record

ArticleRevista de saude publica2025

Congenital Zika syndrome: geographical access to the health care network.

Danielle Amaral de Freitas, Mayumi Duarte Wakimoto, Reinaldo Souza-Santos

Abstract read
In one paragraph

Article in Revista de saude publica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Danielle Amaral de FreitasFundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0002-5460-8316
Mayumi Duarte WakimotoInstituto Nacional de Infectologia Evandro Chagas. Serviço de Vigilância em Saúde. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0001-9380-3387
Reinaldo Souza-SantosFundação Oswaldo Cruz. Escola Nacional de Saúde Pública Sérgio Arouca. Departamento de Endemias Samuel Pessoa. Rio de Janeiro, RJ, Brasil.ORCID http://orcid.org/0000-0003-2387-6999

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo analyze the geographic access of children with congenital Zika syndrome (CZS), residing in the city of Rio de Janeiro between 2015 and 2017, to rehabilitation services.

methodsEcological study, based on spatial analysis. Commute maps were constructed using QGis 3.36.3 and the distances, time and cost between rehabilitation services and the homes of children with CZS, in the city of Rio de Janeiro, reported between 2015 and 2017 in the Registry System of Public Health Events.

results47 children were identified, 6 died. Among the 41 survivors, 17 were followed up in primary and secondary health care (PHC and SHC), 10 only in PHC, 7 only in SHC, and 7 had no follow-up record. CZS cases were more frequent in the north and west zones of the city. 143 trajectories followed by the 36 children between home and a rehabilitation service were identified; 147 commutes, followed 1 to 106 times; the majority destined for 3 units (n = 17 - 47.0%). The largest number of trajectories and commutes were among residents in the north and west zones of the city, poorer regions, with greater distances, cost, and time spent traveling between home and the health unit.

conclusionsThe variation in trajectories, the number of recorded commutes, and the number of units included in the trajectories suggest the complexity of the children's clinical condition, from basic care in PHC to procedures with greater technological density in specialized care.

Indexed as

Health Services AccessibilityZika Virus InfectionBrazilChildFemaleHumansInfantInfant, NewbornMalePregnancySpatial Analysis

Identifiers

PMID40608608
PMCPMC12211770

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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.