Evidence map›Paper›PMID 28091560›Full record

ArticleScientific reports2017

Spatio-temporal analysis of malaria incidence in the Peruvian Amazon Region between 2002 and 2013.

Veronica Soto-Calle, Angel Rosas-Aguirre, Alejandro Llanos-Cuentas, Emmanuel Abatih, Redgi DeDeken, Hugo Rodriguez, Anna Rosanas-Urgell, Dionicia Gamboa, Umberto D Alessandro, Annette Erhart and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  8. Space-Time Clustering Characteristics of Malaria in Bhutan at the End Stages of Elimination.International journal of environmental research and public health · 2021
    Article
  9. Article
  10. Article
  11. Article
  12. Article
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  14. Article
  15. Malaria eradication.Lancet (London, England) · 2020
    Article
  16. Declining Burden ofThe American journal of tropical medicine and hygiene · 2020
    Article
  17. Article
  18. Article
  19. Epidemiological Characteristics and Spatiotemporal Analysis of Mumps from 2004 to 2018 in Chongqing, China.International journal of environmental research and public health · 2019
    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

11 authors.

Veronica Soto-CalleInstituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima 31, Perú.
Angel Rosas-AguirreInstituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima 31, Perú.
Alejandro Llanos-CuentasInstituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima 31, Perú.
Emmanuel AbatihDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp 2000, Belgium.
Redgi DeDekenDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp 2000, Belgium.
Hugo RodriguezDirección Regional de Salud Loreto DIRESA Loreto, Loreto 160, Perú.
Anna Rosanas-UrgellDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp 2000, Belgium.
Dionicia GamboaDepartamento de Ciencias Celulares y Moleculares, Facultad de Ciencias y Filosofia, Universidad Peruana Cayetano Heredia, Lima 31, Perú.
Umberto D AlessandroDisease Control and Elimination, Medical Research Council Unit, Fajara 220, The Gambia.
Annette ErhartDisease Control and Elimination, Medical Research Council Unit, Fajara 220, The Gambia.
Niko SpeybroeckResearch Institute of Health and Society (IRSS), Université catholique de Louvain, Brussels 1200, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Malaria remains a major public health problem in the Peruvian Amazon where the persistence of high-risk transmission areas (hotspots) challenges the current malaria control strategies. This study aimed at identifying significant space-time clusters of malaria incidence in Loreto region 2002-2013 and to determine significant changes across years in relation to the control measures applied. Poisson regression and purely temporal, spatial, and space-time analyses were conducted. Three significantly different periods in terms of annual incidence rates (AIR) were identified, overlapping respectively with the pre-, during, and post- implementation control activities supported by PAMAFRO project. The most likely space-time clusters of malaria incidence for P. vivax and P. falciparum corresponded to the pre- and first two years of the PAMAFRO project and were situated in the northern districts of Loreto, while secondary clusters were identified in eastern and southern districts with the latest onset and the shortest duration of PAMAFRO interventions. Malaria in Loreto was highly heterogeneous at geographical level and over time. Importantly, the excellent achievements obtained during 5 years of intensified control efforts totally vanished in only 2 to 3 years after the end of the program, calling for sustained political and financial commitment for the success of malaria elimination as ultimate goal.

Indexed as

Spatio-Temporal AnalysisCluster AnalysisGeographyHumansIncidenceMalariaMalaria, FalciparumMalaria, VivaxPeruPlasmodium falciparumPlasmodium vivax

Identifiers

PMID28091560
PMCPMC5238441

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Registered trials

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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.