Evidence map›Paper›PMID 34857522›Full record

ArticleBMJ global health2021

Neighbourhood-level income and Zika virus infection during pregnancy in Recife, Pernambuco, Brazil: an ecological perspective, 2015-2017.

Ludmila Lobkowicz, Grace M Power, Wayner Vieira De Souza, Ulisses Ramos Montarroyos, Celina Maria Turchi Martelli, Thalia Velho Barreto de Araùjo, Luciana Caroline Albuquerque Bezerra, Rafael Dhalia, Ernesto T A Marques, Demócrito de Barros Miranda-Filho and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ global health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 25% of its field
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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Article
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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

12 authors at 6 institutions in 3 countries.

Ludmila Lobkowicz *Health Equity Action Lab, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-9915-0361
Grace M Power *Health Equity Action Lab, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK.ORCID 0000-0002-5702-7728
Wayner Vieira De SouzaInstituto Aggeu Magalhães, Fundação Oswaldo Cruz, Recife, PE, Brasil.
Ulisses Ramos MontarroyosInstituto de Ciências Biológicas, Universidade de Pernambuco, Recife, PE, Brasil.
Celina Maria Turchi MartelliInstituto Aggeu Magalhães, Fundação Oswaldo Cruz, Recife, PE, Brasil.
Thalia Velho Barreto de AraùjoDepartamento de Medicina Social, Universidade Federal de Pernambuco, Recife, PE, Brasil.
Luciana Caroline Albuquerque BezerraSecretaria Estadual de Saúde, Recife, PE, Brasil.
Rafael DhaliaInstituto Aggeu Magalhães, Fundação Oswaldo Cruz, Recife, PE, Brasil.
Ernesto T A MarquesInstituto Aggeu Magalhães, Fundação Oswaldo Cruz, Recife, PE, Brasil.
Demócrito de Barros Miranda-FilhoDepartamento de Medicina Interna, Universidade de Pernambuco, Recife, PE, Brasil.
Elizabeth B BrickleyHealth Equity Action Lab, Department of Infectious Disease Epidemiology, London School of Hygiene & Tropical Medicine, London, UK elizabeth.brickley@lshtm.ac.uk.ORCID 0000-0003-0280-2288
Ricardo Arraes de Alencar XimenesDepartamento de Medicina Interna, Universidade de Pernambuco, Recife, PE, Brasil.
Fundação Oswaldo Cruz · BRLondon School of Hygiene & Tropical Medicine · GBUniversidade de Pernambuco · BRUniversidade Federal de Pernambuco · BRSecretaria da Saúde · BRUniversity of Pittsburgh · US

Funding

Medical Research Council MC_PC_15088Wellcome Trust
6 · The paper itself

Abstract

Zika virus (ZIKV) infections during pregnancy can lead to adverse neurodevelopmental and clinical outcomes in congenitally infected offspring. As the city of Recife in Pernambuco State, Brazil-the epicentre of the Brazilian microcephaly epidemic-has considerable disparities in living conditions, this study used an ecological approach to investigate the association between income at the neighbourhood level and the risk of ZIKV infections in pregnant individuals between December 2015 and April 2017. The spatial distribution of pregnant individuals with ZIKV infection was plotted on a map of Recife stratified into four categories based on mean monthly income of household heads. Additionally, a Poisson regression model with robust variance was fitted to compare proportions of ZIKV infections among pregnant individuals in relation to the mean monthly income of household heads, based on the 2010 census data, across 94 neighbourhoods in Recife. The results provide evidence that the risk of ZIKV infection to pregnant individuals was higher among those residing in lower-income neighbourhoods: relative to neighbourhoods that had a mean monthly income of ≥5 times minimum wage, neighbourhoods with <1 and 1 to <2 times minimum wage had more than four times the risk (incidence rate ratio, 95% CI 4.08, 1.88 to 8.85 and 4.30, 2.00 to 9.20, respectively). This study provides evidence of a strong association between neighbourhood-level income and ZIKV infection risks in the pregnant population of Recife. In settings prone to arboviral outbreaks, locally targeted interventions to improve living conditions, sanitation, and mosquito control should be a key focus of governmental interventions to reduce risks associated with ZIKV infections during pregnancy.

Indexed as

EpidemicsMicrocephalyZika VirusZika Virus InfectionBrazilFemaleHumansPregnancyarbovirusesdiseasesdisordersepidemiologyinfectionsinjuriesobstetrics

Identifiers

PMID34857522
PMCPMC8640636
OpenAlexW3217802972

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.