Evidence map›Paper›PMID 32771653›Full record

ArticleTravel medicine and infectious disease

The risk of malaria infection for travelers visiting the Brazilian Amazonian region: A mathematical modeling approach.

Eduardo Massad, Gabriel Zorello Laporta, Jan Evelyn Conn, Leonardo Suveges Chaves, Eduardo Sterlino Bergo, Elder Augusto Guimarães Figueira, Francisco Antonio Bezerra Coutinho, Luis Fernandez Lopez, Claudio Struchiner, Maria Anice Mureb Sallum

Open access · greenAbstract read
In one paragraph

Article in Travel medicine and infectious disease. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 16% 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

8 citing papers in PubMed, 12 citations in OpenAlex.

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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

10 authors at 7 institutions in 3 countries.

Eduardo MassadEscola de Matemática Aplicada, Fundação Getúlio Vargas, Rio de Janeiro, Brazil.
Gabriel Zorello LaportaSetor de Pós-graduação, Pesquisa e Inovação, Centro Universitário Saúde ABC, Fundação do ABC, Santo André, SP, Brazil.
Jan Evelyn ConnWadsworth Center, New York State Department of Health, Albany, NY, USA.
Leonardo Suveges ChavesDepartamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, SP, Brazil.
Eduardo Sterlino BergoSuperintendência de Controle de Endemias, Secretaria de Estado da Saúde de São Paulo, Araraquara, SP, Brazil.
Elder Augusto Guimarães FigueiraFundação de Vigilância em Saúde do Amazonas, Manaus, AM, Brazil.
Francisco Antonio Bezerra CoutinhoFaculdade de Medicina, Universidade de São Paulo e LIM01-HCFMUSP, SP, Brazil.
Luis Fernandez LopezFaculdade de Medicina, Universidade de São Paulo e LIM01-HCFMUSP, SP, Brazil.
Claudio StruchinerEscola de Matemática Aplicada, Fundação Getúlio Vargas, Rio de Janeiro, Brazil.
Maria Anice Mureb SallumDepartamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, São Paulo, SP, Brazil. Electronic address: masallum@usp.br.
Fundação Getulio Vargas · BRHospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo · BRUniversidade de São Paulo · BRFaculdade de Medicina do ABC · BRFundação de Medicina Tropical · BRNew York State Department of Health · USSecretaria da Saúde · BR

Funding

Latitudinal Landscape Genomics and Ecology of Anopheles DarlingiR01AI110112 · NIAID · WADSWORTH CENTER · PI CONN, JAN E · 2014 to 2024
$3.7M
NIAID NIH HHS R01 AI110112
6 · The paper itself

Abstract

backgroundHuman mobility between malaria endemic and malaria-free areas can hinder control and elimination efforts in the Amazon basin, maintaining Plasmodium circulation and introduction to new areas.

methodsThe analysis begins by estimating the incidence of malaria in areas of interest. Then, the risk of infection as a function of the duration of stay after t

resultsMaximum risk occurred at the peak or at the end of the rainy season and it was nonlinearly (exponentially) correlated with the fraction of infected mosquitoes. Relationship between the risk of malaria and duration of visit was linear and positively correlated. Relationship between the risk of malaria and the time of arrival in the municipality was dependent on local effects of seasonality.

conclusionsThe risk of nonimmune travelers acquiring malaria is not negligible and can maintain regional circulation of parasites, propagating introductions in areas where malaria has been eliminated.

Indexed as

MalariaPlasmodiumTravel-Related IllnessAnimalsBrazilCitiesHumansIncidenceAmazonBrazilMalaria riskMathematical modelingRural settlements

Identifiers

PMID32771653
PMCPMC7578070
OpenAlexW3048058985

What OpenQuestion holds

Textmetadata
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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.