Evidence map›Paper›PMID 26356311›Full record

ArticlePloS one2015

Hotspots of Malaria Transmission in the Peruvian Amazon: Rapid Assessment through a Parasitological and Serological Survey.

Angel Rosas-Aguirre, Niko Speybroeck, Alejandro Llanos-Cuentas, Anna Rosanas-Urgell, Gabriel Carrasco-Escobar, Hugo Rodriguez, Dionicia Gamboa, Juan Contreras-Mancilla, Freddy Alava, Irene S Soares and 3 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 3 pooled it
8.3field-weighted citation impact, top 2% 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

51 citing papers in PubMed, 3 syntheses or guidelines pooled it, 70 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Trial
  5. Article
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  15. Using Serological Markers for the Surveillance ofPathogens (Basel, Switzerland) · 2023
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  20. Epidemiological characteristics ofFrontiers in cellular and infection microbiology · 2022
    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

13 authors at 6 institutions in 7 countries.

Angel Rosas-AguirreInstituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima 31, Perú; Research Institute of Health and Society (IRSS), Université catholique de Louvain, Brussels 1200, Belgium; Department of Biomedical Sciences, Institute of Tropical Medicine, Antwerp 2000, Belgium.
Niko SpeybroeckResearch Institute of Health and Society (IRSS), Université catholique de Louvain, Brussels 1200, Belgium.
Alejandro Llanos-CuentasInstituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima 31, Perú
Anna Rosanas-UrgellDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp 2000, Belgium.
Gabriel Carrasco-EscobarInstituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima 31, Perú
Hugo RodriguezRegión de Salud Loreto, Iquitos, Loreto 160, Peru.
Dionicia GamboaInstituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima 31, Perú; Departamento de Ciencias Celulares y Moleculares, Facultad de Ciencias y Filosofia, Universidad Peruana Cayetano Heredia, Lima 31, Peru.
Juan Contreras-MancillaInstituto de Medicina Tropical Alexander von Humboldt, Universidad Peruana Cayetano Heredia, Lima 31, Perú
Freddy AlavaRegión de Salud Loreto, Iquitos, Loreto 160, Peru.
Irene S SoaresDepartamento de Análises Clínicas e Toxicológicas, Faculdade de Ciências Farmacêuticas, Universidade de São Paulo, São Paulo 05508-900, Brazil.
Edmond RemarqueDepartment of Parasitology, Biomedical Primate Research Centre, 2280 GH Rijswijk, The Netherlands.
Umberto D AlessandroDisease Control and Elimination, Medical Research Council Unit, Fajara 220, The Gambia; London School of Hygiene & Tropical Medicine, London WC1E 7HT, United Kingdom.
Annette ErhartDepartment of Biomedical Sciences, Institute of Tropical Medicine, Antwerp 2000, Belgium.
Universidad Peruana Cayetano Heredia · PEInstituut voor Tropische Geneeskunde · BEBiomedical Primate Research Centre · NLLondon School of Hygiene & Tropical Medicine · GBUCLouvain · BEUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith low and markedly seasonal malaria transmission, increasingly sensitive tools for better stratifying the risk of infection and targeting control interventions are needed. A cross-sectional survey to characterize the current malaria transmission patterns, identify hotspots, and detect recent changes using parasitological and serological measures was conducted in three sites of the Peruvian Amazon. MATERIAL AND

methodsAfter full census of the study population, 651 participants were interviewed, clinically examined and had a blood sample taken for the detection of malaria parasites (microscopy and PCR) and antibodies against P. vivax (PvMSP119, PvAMA1) and P. falciparum (PfGLURP, PfAMA1) antigens by ELISA. Risk factors for malaria infection (positive PCR) and malaria exposure (seropositivity) were assessed by multivariate survey logistic regression models. Age-specific seroprevalence was analyzed using a reversible catalytic conversion model based on maximum likelihood for generating seroconversion rates (SCR, λ). SaTScan was used to detect spatial clusters of serology-positive individuals within each site.

resultsThe overall parasite prevalence by PCR was low, i.e. 3.9% for P. vivax and 6.7% for P. falciparum, while the seroprevalence was substantially higher, 33.6% for P. vivax and 22.0% for P. falciparum, with major differences between study sites. Age and location (site) were significantly associated with P. vivax exposure; while location, age and outdoor occupation were associated with P. falciparum exposure. P. falciparum seroprevalence curves showed a stable transmission throughout time, while for P. vivax transmission was better described by a model with two SCRs. The spatial analysis identified well-defined clusters of P. falciparum seropositive individuals in two sites, while it detected only a very small cluster of P. vivax exposure.

conclusionThe use of a single parasitological and serological malaria survey has proven to be an efficient and accurate method to characterize the species specific heterogeneity in malaria transmission at micro-geographical level as well as to identify recent changes in transmission.

Indexed as

AdolescentAdultChildFactor Analysis, StatisticalGeographyHumansIncidenceMalaria, FalciparumMalaria, VivaxMultivariate AnalysisPeruPlasmodium falciparumPlasmodium vivaxPrevalenceRisk FactorsSeroepidemiologic Studies

Identifiers

PMID26356311
PMCPMC4565712
OpenAlexW2248884943

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.