Evidence map›Paper›PMID 31973162›Full record

ArticleInternational journal of environmental research and public health2020

Spatiotemporal Analysis of the Population Risk of Congenital Microcephaly in Pernambuco State, Brazil.

Neal D E Alexander, Wayner V Souza, Laura C Rodrigues, Cynthia Braga, André Sá, Luciana Caroline Albuquerque Bezerra, Celina Maria Turchi Martelli

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Identifying hidden Zika hotspots in Pernambuco, Brazil: a spatial analysis.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2023
    Article
  2. Article
  3. 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

7 authors.

Neal D E AlexanderDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.
Wayner V SouzaCentro de Pesquisas Aggeu Magalhães, Fundação Oswaldo Cruz, Recife PE, 50740-465, Brazil.
Laura C RodriguesDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London WC1E 7HT, UK.
Cynthia BragaCentro de Pesquisas Aggeu Magalhães, Fundação Oswaldo Cruz, Recife PE, 50740-465, Brazil.
André SáCentro de Pesquisas Aggeu Magalhães, Fundação Oswaldo Cruz, Recife PE, 50740-465, Brazil.
Luciana Caroline Albuquerque BezerraState Health Department of Pernambuco, Recife PE 50751-530, Brazil.
Celina Maria Turchi MartelliCentro de Pesquisas Aggeu Magalhães, Fundação Oswaldo Cruz, Recife PE, 50740-465, Brazil.

Funding

Medical Research Council MR/K012126/1Medical Research Council MR/R010161/1
6 · The paper itself

Abstract

Since an outbreak in Brazil, which started in 2015, Zika has been recognized as an important cause of microcephaly. The highest burden of this outbreak was in northeast Brazil, including the state of Pernambuco. The prevalence of congenital microcephaly in Pernambuco state was estimated from the RESP (Registro de Eventos em Saúde Pública) surveillance system, from August 2015 to August 2016 inclusive. The denominators were estimated at the municipality level from official demographic data. Microcephaly was defined as a neonatal head circumference below the 3rd percentile of the Intergrowth standards. Smoothed maps of the prevalence of microcephaly were obtained from a Bayesian model which was conditional autoregressive (CAR) in space, and first order autoregressive in time. A total of 742 cases were identified. Additionally, high and early occurrences were identified in the Recife Metropolitan Region, on the coast, and in a north-south band about 300 km inland. Over a substantial part of the state, the overall prevalence, aggregating over the study period, was above 0.5%. The reasons for the high occurrence in the inland area remain unclear.

Indexed as

Bayes TheoremBrazilFemaleHumansMicrocephalyPregnancyPregnancy Complications, InfectiousSpatio-Temporal AnalysisZika Virus InfectionarbovirusBrazilcongenital microcephalyZika

Identifiers

PMID31973162
PMCPMC7037094

What OpenQuestion holds

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LicenceCC BY
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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.