Evidence map›Paper›PMID 33676522›Full record

ArticleMalaria journal2021

Cross-border malaria in Northern Brazil.

Nicholas J Arisco, Cassio Peterka, Marcia C Castro

Open access · goldAbstract 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 40 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed, 1 pooled it
10.6field-weighted citation impact, top 1% 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

40 citing papers in PubMed, 1 synthesis or guideline pooled it, 63 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Childhood vaccination coverage and socioeconomic inequalities in the Northern region of Brazil.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Ecological change increases malaria risk in the Brazilian Amazon.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Malaria in areas under mining activity in the Amazon: A review.Revista da Sociedade Brasileira de Medicina Tropical · 2024
    Review
  16. Article
  17. Review
  18. The private market for antimicrobials: an exploration of two selected mining and frontier areas of Guyana.Revista panamericana de salud publica = Pan American journal of public health · 2024
    Article
  19. Human mobility and the infectious disease transmission: A systematic review.Geo-spatial information science = Diqui kongjian xinxi kexue xuebao · 2024
    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

3 authors at 3 institutions in 2 countries.

Nicholas J AriscoDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Building 1, Room 1002A, Boston, MA, 02115, USA.
Cassio PeterkaDiretoria de Vigilancia Epidemiológica, Secretaria de Estado de Saúde Do DF, Brasília, DF, 70390-125, Brazil.
Marcia C CastroDepartment of Global Health and Population, Harvard T.H. Chan School of Public Health, 655 Huntington Avenue, Building 1, Room 1002A, Boston, MA, 02115, USA. mcastro@hsph.harvard.edu.ORCID http://orcid.org/0000-0003-4606-2795
Harvard Global Health Institute · USHarvard University · USSecretaria da Saúde · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCross-border malaria is a major barrier to elimination efforts. Along the Venezuela-Brazil-Guyana border, intense human mobility fueled primarily by a humanitarian crisis and illegal gold mining activities has increased the occurrence of cross-border cases in Brazil. Roraima, a Brazilian state situated between Venezuela and Guyana, bears the greatest burden. This study analyses the current cross-border malaria epidemiology in Northern Brazil between the years 2007 and 2018.

methodsDe-identified data on reported malaria cases in Brazil were obtained from the Malaria Epidemiological Surveillance Information System for the years 2007 to 2018. Pearson's Chi-Square test of differences was utilized to assess differences between characteristics of cross-border cases originating from Venezuela and Guyana, and between border and transnational cases. A logistic regression model was used to predict imported status of cases.

resultsCross-border cases from Venezuela and Guyana made up the majority of border and transnational cases since 2012, and Roraima remained the largest receiving state for cross-border cases over this period. There were significant differences in the profiles of border and transnational cases originating from Venezuela and Guyana, including type of movement and nationality of patients. Logistic regression results demonstrated Venezuelan and Guyanese nationals, Brazilian miners, males, and individuals of working age had heightened odds of being an imported case. Furthermore, Venezuelan citizens had heightened odds of seeking care in municipalities adjacent Venezuela, rather than transnational municipalities.

conclusionsCross-border malaria contributes to the malaria burden at the Venezuela-Guyana-Brazil border. The identification of distinct profiles of case importation provides evidence on the need to strengthen surveillance at border areas, and to deploy tailored strategies that recognize different mobility routes, such as the movement of refuge-seeking individuals and of Brazilians working in mining.

Indexed as

Emigration and ImmigrationAdolescentAdultAgedAged, 80 and overBrazilChildChild, PreschoolFemaleGuyanaHumansInfantInfant, NewbornMalariaMaleMiddle AgedCross-border malariaImported malariaMalaria elimination

Identifiers

PMID33676522
PMCPMC7937307
OpenAlexW3134796170

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.