Evidence map›Paper›PMID 35641976›Full record

ArticleMalaria journal2022

Malaria time series in the extra-Amazon region of Brazil: epidemiological scenario and a two-year prediction model.

Klauss Kleydmann Sabino Garcia, Amanda Amaral Abrahão, Ana Flávia de Morais Oliveira, Karina Medeiros de Deus Henriques, Anielle de Pina-Costa, André Machado Siqueira, Walter Massa Ramalho

Open access · goldAbstract read
In one paragraph

Article in Malaria journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.8field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 26 citations in OpenAlex.

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  16. Malaria in areas under mining activity in the Amazon: A review.Revista da Sociedade Brasileira de Medicina Tropical · 2024
    Review
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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

7 authors at 5 institutions in 1 country.

Klauss Kleydmann Sabino GarciaTropical Medicine Center, University of Brasilia, Darcy Ribeiro University Campus, Brasília, Brazil. kleydmann25@gmail.com.ORCID http://orcid.org/0000-0003-2268-8742
Amanda Amaral AbrahãoHealth Ministry of Brazil, Federal District, Brasilia, Brazil.
Ana Flávia de Morais OliveiraFederal Institute of Education, Science and Technology of Tocantins, IFTO, Araguaína, Brazil.
Karina Medeiros de Deus HenriquesFIOCRUZ, Evandro Chagas National Institute of Infectious Diseases, Av. Brasil, Rio de Janeiro, RJ, 4365, Brazil.
Anielle de Pina-CostaSchool of Medicine, Centro Universitário Serra Dos Órgãos (UNIFESO), Teresópolis, RJ, Brazil.
André Machado SiqueiraFIOCRUZ, Evandro Chagas National Institute of Infectious Diseases, Av. Brasil, Rio de Janeiro, RJ, 4365, Brazil.
Walter Massa RamalhoTropical Medicine Center, University of Brasilia, Darcy Ribeiro University Campus, Brasília, Brazil.
Instituto Evandro Chagas · BRUniversidade de Brasília · BRCentro Universitário Serra dos Órgãos · BRInstituto Federal do Tocantins · BRMinistério da Saúde · BR

Funding

Gates Foundation INV-003970Ministério da Saúde MoH/DECIT/CNPq (443148/2019-8)
6 · The paper itself

Abstract

backgroundIn Brazil, malaria is caused mainly by the Plasmodium vivax and Plasmodium falciparum species. Its transmission occurs in endemic and non-endemic areas. Malaria geography in Brazil has retracted and is now concentrated in the North region. The Brazilian Amazon region accounts for 99% of Brazil's cases. Brazil's extra-Amazon region has a high frequency of imported cases and in 2019 presented a mortality rate 123 times higher than the Amazon region. Extra-Amazon cases present risks of reintroduction. This study aims to characterize the epidemiological scenario for malaria in the extra-Amazon region of Brazil from 2011 to 2020 with a two-year forecast.

methodsTime-series study with description of malaria cases and deaths registered in Brazilian extra-Amazon region from 2011 to 2020. Public data from the Notifiable Diseases Information System (Sinan) and the Mortality Information System (SIM) were used. Descriptive analysis, incidence, and notification rates were calculated. Flow charts analysed the flux between Places of Probable Infection (PI) and places of notification. The prediction model utilized a multiplicative Holt-winters model for trend and seasonality components.

resultsA total of 6849 cases were registered. Cases were predominantly white males with 9 to 11 years of education, mostly between 30 and 39 years old. Imported cases accounted for 78.9% of cases. Most frequent occupations for imported cases are related to travelling and tourism activities. Among autochthonous cases, there is a higher frequency of agriculture and domestic economic activities. In the period there were 118 deaths due to malaria, of which 34.7% were caused by P. falciparum infections and 48.3% were not specified. The most intense flows of imported cases are from Amazonas and Rondônia to São Paulo, Rio de Janeiro, and Paraná. The prediction estimates around 611 cases for each of the following two years.

conclusionThe time series allows a vast epidemiological visualization with a short-term prediction analysis that supports public health planning. Government actions need to be better directed in the extra-Amazon region so the objective of eliminating malaria in Brazil is achieved. Carrying out quality assessments for information systems and qualifying personnel is advisable. Malaria outside the Amazon region is mainly due to imported cases and delay in diagnosis is associated with a higher fatality rate. Better strategies to diagnose and treat suspected cases can lead to lower risk of deaths and local outbreaks that will be important for achieving malaria elimination in Brazil.

Indexed as

MalariaMalaria, FalciparumMalaria, VivaxAdultBrazilHumansMaleTime FactorsUnited StatesControl; EliminationEpidemiologyExtra-AmazonMalariaMalaria CasePublic Health

Identifiers

PMID35641976
PMCPMC9153870
OpenAlexW4281709445

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.