Evidence map›Paper›PMID 33579298›Full record

ArticleMalaria journal2021

The top 1%: quantifying the unequal distribution of malaria in Brazil.

Raquel Lana, Narimane Nekkab, Andre M Siqueira, Cassio Peterka, Paola Marchesini, Marcus Lacerda, Ivo Mueller, Michael White, Daniel Villela

Abstract read
In one paragraph

Article in Malaria journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Heterogeneous mosquito exposure increasesProceedings. Biological sciences · 2024
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Observational
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Accelerating towardsLancet regional health. Americas · 2023
    Article
  20. 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

9 authors.

Raquel Lana *Scientific Computing Programme, Fundação Oswaldo Cruz, Rio de Janeiro, 21040-360, Brazil.
Narimane Nekkab *Malaria: Parasites and Hosts, Department of Parasites and Insect Vectors, Institut Pasteur, Paris, France.
Andre M SiqueiraInstituto Nacional de Infectologia Evandro Chagas, Fundação Oswaldo Cruz, Rio de Janeiro, 21040-360, Brazil.
Cassio PeterkaFundação de Medicina Tropical Dr. Heitor Vieira Dourado, Manaus, AM, Brasil.
Paola MarchesiniDepartment of Transmissible Diseases Surveillance, Ministry of Health, Brasília, Brazil.
Marcus LacerdaFundação de Medicina Tropical Dr. Heitor Vieira Dourado, Manaus, AM, Brasil.
Ivo MuellerMalaria: Parasites and Hosts, Department of Parasites and Insect Vectors, Institut Pasteur, Paris, France.
Michael WhiteMalaria: Parasites and Hosts, Department of Parasites and Insect Vectors, Institut Pasteur, Paris, France. michael.white@pasteur.fr.ORCID http://orcid.org/0000-0002-7472-4138
Daniel VillelaScientific Computing Programme, Fundação Oswaldo Cruz, Rio de Janeiro, 21040-360, Brazil. daniel.villela@fiocruz.br.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 424141/2018-3
6 · The paper itself

Abstract

backgroundAs malaria endemic countries strive towards elimination, intensified spatial heterogeneities of local transmission could undermine the effectiveness of traditional intervention policy.

methodsThe dynamic nature of large-scale and long-term malaria heterogeneity across Brazilian Amazon basin were explored by (1) exploratory analysis of Brazil's rich clinical malaria reporting database from 2004 to 2018, and (2) adapting Gini coefficient to study the distribution of malaria cases in the region.

resultsAs transmission declined, heterogeneity increased with cases clustering into smaller subpopulations across the territory. In 2004, the 1% of health units with the greatest number of cases accounted for 46% of all reported Plasmodium vivax cases, whereas in 2018 52% of P. vivax cases occurred in the top 1% of health units. Plasmodium falciparum had lower levels of transmission than P. vivax, and also had greater levels of heterogeneity with 75% of cases occurring in the top 1% of health units. Age and gender stratification of cases revealed peri-domestic and occupational exposure settings that remained relatively stable.

conclusionThe pathway to decreasing incidence is characterized by higher proportions of cases in males, in adults, due to importation, and caused by P. vivax. Characterization of spatio-temporal heterogeneity and risk groups can aid stratification for improved malaria control towards elimination with increased heterogeneity potentially allowing for more efficient and cost-effective targeting. Although distinct epidemiological phenomena were clearly observed as malaria transmission declines, the authors argue that there is no canonical path to malaria elimination and a more targeted and dynamic surveillance will be needed if Brazil decides to adopt the elimination target.

Indexed as

Age FactorsBrazilFemaleHumansIncidenceMalaria, FalciparumMalaria, VivaxMalePlasmodium falciparumPlasmodium vivaxSex FactorsEpidemiologyMalariaPlasmodium falciparumPlasmodium vivax

Identifiers

PMID33579298
PMCPMC7880522

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.