Evidence map›Paper›PMID 32663141›Full record

ArticleJMIR public health and surveillance2020

Contributing to Elimination of Cross-Border Malaria Through a Standardized Solution for Case Surveillance, Data Sharing, and Data Interpretation: Development of a Cross-Border Monitoring System.

Raphael Saldanha, Émilie Mosnier, Christovam Barcellos, Aurel Carbunar, Christophe Charron, Jean-Christophe Desconnets, Basma Guarmit, Margarete Do Socorro Mendonça Gomes, Théophile Mandon, Anapaula Martins Mendes and 5 more

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  7. Fine-Scale Spatial Prediction on the Risk ofJournal of Korean medical science · 2024
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  13. Global Cross-Border Malaria Control Collaborative Initiatives: A Scoping Review.International journal of environmental research and public health · 2022
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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

15 authors at 8 institutions in 4 countries.

Raphael SaldanhaLaboratório de Informação em Saúde, Instituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.ORCID 0000-0003-0652-8466
Émilie MosnierService des Centres Délocalisés de Prévention et de Soins, Centre Hospitalier de Cayenne, Cayenne, French Guiana.ORCID 0000-0002-6004-3323
Christovam BarcellosLaboratório de Informação em Saúde, Instituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.ORCID 0000-0002-1161-2753
Aurel CarbunarService des Centres Délocalisés de Prévention et de Soins, Centre Hospitalier de Cayenne, Cayenne, French Guiana.ORCID 0000-0002-4314-152X
Christophe CharronLaboratoire Mixte International Sentinela, Fundação Oswaldo Cruz, Universidade de Brasília, Institut de Recherche pour le Développement, Rio de Janeiro, Brazil.ORCID 0000-0003-1264-4535
Jean-Christophe DesconnetsLaboratoire Mixte International Sentinela, Fundação Oswaldo Cruz, Universidade de Brasília, Institut de Recherche pour le Développement, Rio de Janeiro, Brazil.ORCID 0000-0002-4142-5289
Basma GuarmitService des Centres Délocalisés de Prévention et de Soins, Centre Hospitalier de Cayenne, Cayenne, French Guiana.ORCID 0000-0002-0915-7464
Margarete Do Socorro Mendonça GomesSuperintendência de Vigilância em Saúde do Estado do Amapá, Macapá, Brazil.ORCID 0000-0002-2949-8135
Théophile MandonEspace-Dev, Institut de Recherche pour le Développement, Université de Montpellier, Université de La Réunion, Université de Guyane, Université des Antilles, Cayenne, French Guiana, and Montpellier, France.ORCID 0000-0002-3983-5182
Anapaula Martins MendesUniversidade Federal do Amapá, Oiapoque, Brazil.ORCID 0000-0002-3287-797X
Paulo César PeiterLaboratoire Mixte International Sentinela, Fundação Oswaldo Cruz, Universidade de Brasília, Institut de Recherche pour le Développement, Rio de Janeiro, Brazil.ORCID 0000-0001-8383-4542
Lise MussetLaboratoire de Parasitologie, Institut Pasteur de la Guyane, Cayenne, French Guiana.ORCID 0000-0003-0215-4110
Alice SannaAgence Régionale de Santé de Guyane, Cayenne, French Guiana.ORCID 0000-0003-2426-2315
Benoît Van GastelAgence Régionale de Santé de Guyane, Cayenne, French Guiana.ORCID 0000-0002-6655-5346
Emmanuel RouxLaboratório de Informação em Saúde, Instituto de Comunicação e Informação Científica e Tecnológica em Saúde, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.ORCID 0000-0003-2266-8207
University of French Guiana · GFCentre Hospitalier Andrée Rosemon · GFInstituto Brasileiro de Informação em Ciência e Tecnologia · BRFundação Oswaldo Cruz · BRInserm · FRSecretaria da Saúde · BRUniversidade Federal do Amapá · BRWorld Health Organization - Pakistan · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCross-border malaria is a significant obstacle to achieving malaria control and elimination worldwide.

objectiveThis study aimed to build a cross-border surveillance system that can make comparable and qualified data available to all parties involved in malaria control between French Guiana and Brazil.

methodsData reconciliation rules based on expert knowledge were defined and applied to the heterogeneous data provided by the existing malaria surveillance systems of both countries. Visualization dashboards were designed to facilitate progressive data exploration, analysis, and interpretation. Dedicated advanced open source and robust software solutions were chosen to facilitate solution sharing and reuse.

resultsA database gathering the harmonized data on cross-border malaria epidemiology is updated monthly with new individual malaria cases from both countries. Online dashboards permit a progressive and user-friendly visualization of raw data and epidemiological indicators, in the form of time series, maps, and data quality indexes. The monitoring system was shown to be able to identify changes in time series that are related to control actions, as well as differentiated changes according to space and to population subgroups.

conclusionsThis cross-border monitoring tool could help produce new scientific evidence on cross-border malaria dynamics, implementing cross-border cooperation for malaria control and elimination, and can be quickly adapted to other cross-border contexts.

Indexed as

Reference StandardsBrazilDisease EradicationEmigration and ImmigrationFrench GuianaHumansInformation DisseminationMalariaPopulation SurveillanceBrazilcross-border malariadata interoperabilitydata visualizationFrench Guianasurveillance

Identifiers

PMID32663141
PMCPMC7492983
OpenAlexW3034169036

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.