Evidence map›Paper›PMID 37715245›Full record

ArticleMalaria journal2023

Assessing the impact of the "malaria supporters project" intervention to malaria control in the Brazilian Amazon: an interrupted time-series analysis.

Klauss Kleydmann Sabino Garcia, Seyi Soremekun, Christian Bottomley, Amanda Amaral Abrahão, Cristiano Barreto de Miranda, Chris Drakeley, Walter Massa Ramalho, André M Siqueira

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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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Klauss Kleydmann Sabino GarciaNucleus of Tropical Medicine, University of Brasilia, Brasilia, Federal District, Brazil. kleydmann25@gmail.com.
Seyi SoremekunDepartment of Infection Biology, Faculty of Infectious and Tropical Diseases, University of London-London School of Hygiene & Tropical Medicine, London, UK.
Christian BottomleyMRC International Statistics and Epidemiology Group, University of London-London School of Hygiene & Tropical Medicine, London, UK.
Amanda Amaral AbrahãoSecretary of Health and Environment Surveillance, Ministry of Health, Brasilia, Federal District, Brazil.
Cristiano Barreto de MirandaSchool of Public Health, University of São Paulo, São Paulo, São Paulo, Brazil.
Chris DrakeleyDepartment of Infection Biology, Faculty of Infectious and Tropical Diseases, University of London-London School of Hygiene & Tropical Medicine, London, UK.
Walter Massa RamalhoNucleus of Tropical Medicine, University of Brasilia, Brasilia, Federal District, Brazil.
André M SiqueiraFIOCRUZ, Evandro Chagas National Institute of Infectology, Rio de Janeiro, Rio de Janeiro, Brazil.

Funding

Medical Research Council MR/R010161/1
6 · The paper itself

Abstract

backgroundIn 2021, Brazil was responsible for more than 25% of malaria cases in the Americas. Although the country has shown a reduction of cases in the last decades, in 2021 it reported over 139,000 malaria cases. One major malaria control strategy implemented in Brazil is the "Malaria Supporters Project", which has been active since 2012 and is directed to municipalities responsible for most Brazil's cases. The objective of this study is to analyse the intervention effect on the selected municipalities.

methodsAn ecological time-series analysis was conducted to assess the "Malaria Supporters Project" effect. The study used data on Annual Parasitic Incidence (API) spanning the period from 2003 to 2020 across 48 intervention municipalities and 88 control municipalities. To evaluate the intervention effect a Prais-Winsten segmented regression model was fitted to the difference in malaria Annual Parasitic Incidence (API) between control and intervention areas.

resultsThe intervention group registered 1,104,430 cases between 2012 and 2020, a 50.6% reduction compared to total cases between 2003 and 2011. In 2020 there were 95,621 cases, 50.4% fewer than in 2011. The number of high-risk municipalities (API > 50 cases/1000) reduced from 31 to 2011 to 17 in 2020. The segmented regression showed a significant 42.0 cases/1000 residents annual decrease in API compared to control group.

conclusionsThe intervention is not a silver bullet to control malaria, but it has reduced API in locations with high malaria endemicity. Furthermore, the model has the potential to be replicated in other countries with similar epidemiological scenarios.

Indexed as

MalariaBrazilHumansInterrupted Time Series AnalysisResearch DesignSeizuresBrazilControlEpidemiologyInterrupted time seriesMalariaPublic Health

Identifiers

PMID37715245
PMCPMC10504781

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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.