Evidence map›Paper›PMID 37996920›Full record

ArticleMalaria journal2023

Relationship between the colours of the rivers in the Amazon and the incidence of malaria.

Fernanda Fonseca, Jean-Michel Martinez, Antônio Balieiro, Jesem Orellana, James D Santos, Naziano Filizola

Abstract read
In one paragraph

Article in Malaria journal, 2023. 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.

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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

6 authors.

Fernanda FonsecaInstituto Leônidas e Maria Deane, Fiocruz Amazônia, Manaus, Amazonas, Brasil. fernanda.fonseca@fiocruz.br.
Jean-Michel MartinezInstitut de Recherche pour le Développement, Toulouse, France.
Antônio BalieiroInstituto Leônidas e Maria Deane, Fiocruz Amazônia, Manaus, Amazonas, Brasil.
Jesem OrellanaInstituto Leônidas e Maria Deane, Fiocruz Amazônia, Manaus, Amazonas, Brasil.
James D SantosUniversidade Federal do Amazonas, Manaus, Amazonas, Brasil.
Naziano FilizolaPós-Graduação em Clima e Ambiente-CLIAMB (INPA/UEA), Manaus, Amazonas, Brasil.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico AmazonGeoSed Project (304636/2016-9)Fundação de Amparo a Pesquisa do Estado do Amazonas (005/2019)Instituto Leônidas e Maria Deane Research Excellence Program (025/2022)
6 · The paper itself

Abstract

backgroundMalaria is transmitted by different Anopheles species. In Brazil, the disease is concentrated in the Amazon region. Rivers play an important role in the life cycle of malaria since the vector reproduces in aquatic environments. The waters of the rivers in the Amazon have distinct chemical characteristics, which affect the colour of the water and therefore, the study analysed whether the colour of the waters of the rivers have an on influence the distribution of malaria. The goal of the study was to correlate the different colourations of the water (black, white and mixed water) and the malaria incidence in 50 municipalities of the Amazonas state, Brazil, and then test hypotheses about the characteristics of the colour of the rivers and disease incidence.

methodsThis study was conducted for a period of seventeen years (2003-2019) in 50 municipalities in the state of Amazonas, Brazil. A conditionally Gaussian dynamic linear model was developed to analyse the association of malaria incidence and three types of river colour: white, black and mixed.

resultsThe analyses indicate that the distribution of malaria is related to the colouration of the rivers. The results showed that places located near black-water rivers have a higher malaria incidence when compared to places on the banks of white-water rivers.

conclusionsHistorically, the hydrological regime has played an important role in the dynamics of malaria in the Amazon, but little is known about the relationship between river colours and the incidence of the disease. This research was carried out in a region with hydrographic characteristics that were heterogeneous enough to allow an analysis that contrasted different colours of the rivers and covered almost the whole of the state of Amazonas. The results help to identify the places with the highest risk of malaria transmission and it is believed that they will be able to contribute to more precise planning of actions aimed at controlling the disease in the region.

Indexed as

MalariaRiversAnimalsBrazilColorIncidenceMosquito VectorsWaterWaterAmazonBlack waterMalariaRiver coloursWhite water

Identifiers

PMID37996920
PMCPMC10668518

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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.