Evidence map›Paper›PMID 38567917›Full record

ArticleEinstein (Sao Paulo, Brazil)2024

Temporal and spatial analysis of over 7,000 measles cases outbreak from 2018 to 2019 in the Brazilian Amazon.

Felipe de Mello Martins, Alessandra Pinheiro Vidal, Jeevan Giddaluru, Bernardo Maia da Silva, Eva K Lee, Peijue Zhang, Lucas Esteves Cardozo, Carlos Augusto Prete Junior, Helves Humberto Domingues, Ester Cerdeira Sabino and 3 more

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In one paragraph

Article in Einstein (Sao Paulo, Brazil), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Felipe de Mello MartinsEscola Superior de Ciências da Saúde, Universidade do Estado do Amazonas, Manaus, AM, Brazil.ORCID http://orcid.org/0000-0002-1759-0698
Alessandra Pinheiro VidalEscola Superior de Ciências da Saúde, Universidade do Estado do Amazonas, Manaus, AM, Brazil.ORCID http://orcid.org/0000-0002-3563-0606
Jeevan GiddaluruFaculdade de Ciências Farmacêuticas, Universidade de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-8043-7162
Bernardo Maia da SilvaEscola Superior de Ciências da Saúde, Universidade do Estado do Amazonas, Manaus, AM, Brazil.ORCID http://orcid.org/0000-0002-5989-1288
Eva K LeeCenter for Operations Research in Medicine and Healthcare, Georgia Institute of Technology, Atlanta, USA.ORCID http://orcid.org/0000-0003-0415-4640
Peijue ZhangCenter for Operations Research in Medicine and Healthcare, Georgia Institute of Technology, Atlanta, USA.ORCID http://orcid.org/0000-0002-0902-3554
Lucas Esteves CardozoFaculdade de Ciências Farmacêuticas, Universidade de São Paulo, São Paulo, SP, Brazil.
Carlos Augusto Prete JuniorDepartment of Electronic Systems Engineering, Escola Politécnica, Universidade de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-3907-423X
Helves Humberto DominguesInstituto de Medicinal Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.
Ester Cerdeira SabinoInstituto de Medicinal Tropical, Faculdade de Medicina, Universidade de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0003-2623-5126
Vanderson de Souza SampaioFundação de Medicina Tropical Doutor Heitor Vieira Dourado, Manaus, AM, Brazil.ORCID http://orcid.org/0000-0001-7307-8851
Wuelton Marcelo MonteiroEscola Superior de Ciências da Saúde, Universidade do Estado do Amazonas, Manaus, AM, Brazil.ORCID http://orcid.org/0000-0002-0848-1940
Helder I NakayaFaculdade de Ciências Farmacêuticas, Universidade de São Paulo, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0001-5297-9108

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to present a temporal and spatial analysis of the 2018 measles outbreak in Brazil, particularly in the metropolitan city of Manaus in the Amazon region, and further introduce a new tool for spatial analysis.

methodsWe analyzed the geographical data of the residences of over 7,000 individuals with measles in Manaus during 2018 and 2019. Spatial and temporal analyses were conducted to characterize various aspects of the outbreak, including the onset and prevalence of symptoms, demographics, and vaccination status. A visualization tool was also constructed to display the geographical and temporal distribution of the reported measles cases.

resultsApproximately 95% of the included participants had not received vaccination within the past decade. Heterogeneity was observed across all facets of the outbreak, including variations in the incubation period and symptom presentation. Age distribution exhibited two peaks, occurring at one year and 18 years of age, and the potential implications of this distribution on predictive analysis were discussed. Additionally, spatial analysis revealed that areas with the highest case densities tended to have the lowest standard of living.

conclusionUnderstanding the spatial and temporal spread of measles outbreaks provides insights for decision-making regarding measures to mitigate future epidemics.

Indexed as

MeaslesBrazilDisease OutbreaksHumansInfantSpatial AnalysisVaccination

Identifiers

PMID38567917
PMCPMC11081026

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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.