Evidence map›Paper›PMID 26466889›Full record

ArticleMalaria journal2015

Spatial and temporal epidemiology of malaria in extra-Amazonian regions of Brazil.

Camila Lorenz, Flávia Virginio, Breno S Aguiar, Lincoln Suesdek, Francisco Chiaravalloti-Neto

Abstract read
In one paragraph

Article in Malaria journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  7. Complexity of malaria transmission dynamics in the Brazilian Atlantic Forest.Current research in parasitology & vector-borne diseases · 2021
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  13. Malaria in Southern Brazil: a potential threat for a non-endemic region.The Brazilian journal of infectious diseases : an official publication of the Brazilian Society of Infectious Diseases
    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

5 authors.

Camila LorenzInstituto Butantan, Avenida Vital Brasil, 1500, São Paulo, CEP 05509-300, Brazil. camilalorenz@usp.br.
Flávia VirginioInstituto Butantan, Avenida Vital Brasil, 1500, São Paulo, CEP 05509-300, Brazil. fv.fonseca@usp.br.
Breno S AguiarDepartamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, Av Dr Arnaldo, 715, São Paulo, CEP 05509-300, Brazil. brenosaguiar@usp.br.
Lincoln SuesdekInstituto Butantan, Avenida Vital Brasil, 1500, São Paulo, CEP 05509-300, Brazil. lincoln.suesdek@butantan.gov.br.
Francisco Chiaravalloti-NetoDepartamento de Epidemiologia, Faculdade de Saúde Pública, Universidade de São Paulo, Av Dr Arnaldo, 715, São Paulo, CEP 05509-300, Brazil. franciscochiara@usp.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMosquitoes, Plasmodium parasites, and humans live in sympatry in some extra-Amazonian regions of Brazil. Recent migrations of people from Amazonia and other countries to extra-Amazonian regions have led to many malaria outbreaks. Lack of relevant expertise among health professionals in non-endemic areas can lead to a neglect of the disease, which can be dangerous given its high fatality rate. Therefore, understanding the spatial and temporal epidemiology of malaria is essential for developing strategies for disease control and elimination. This study aimed to characterize imported (IMP) and autochthonous/introduced (AU/IN) cases in the extra-Amazonian regions and identify risk areas and groups.

methodsEpidemiological data collected between 2007 and 2014 were obtained from the Notifiable Diseases Information System of the Ministry of Health (SINAN) and from the Department of the Unified Health System (DATASUS). High malaria risk areas were determined using the Local Indicator of Spatial Association. IMP and AU/IN malaria incidence rates were corrected by Local Empirical Bayesian rates.

resultsA total of 6092 malaria cases (IMP: 5416, 88.9 %; AU/IN: 676, 11.1 %) was recorded in the extra-Amazonian regions in 2007-2014. The highest numbers of IMP and AU/IN cases were registered in 2007 (n = 862) and 2010 (n = 149), respectively. IMP cases were more frequent than AU/IN cases in all states except for Espírito Santo. Piauí, Espírito Santo, and Paraná states had high incidences of AU/IN malaria. The majority of infections were by Plasmodium falciparum in northeast and southeast regions, while Plasmodium vivax was the predominant species in the south and mid-west showed cases of dual infection. AU/IN malaria cases were concentrated in the coastal region of Brazil, which contains the Atlantic Forest and hosts the Anopheles transmitters. Several malaria clusters were also associated with the Brazilian Pantanal biome and regions bordering the Amazonian biome.

conclusionMalaria is widespread outside the Amazonian region of Brazil, including in more urbanized and industrialized states. This fact is concerning because these highly populated areas retain favourable conditions for spreading of the parasites and vectors. Control measures for both IMP and AU/IN malaria are essential in these high-risk areas.

Indexed as

AnimalsAnophelesBrazilHumansIncidenceMalaria, FalciparumMalaria, VivaxSpatio-Temporal AnalysisTopography, Medical

Identifiers

PMID26466889
PMCPMC4607178

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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.