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Accepted for/Published in: JMIR Public Health and Surveillance

Date Submitted: Jul 14, 2019
Date Accepted: Jun 1, 2020
Date Submitted to PubMed: Jul 14, 2020

The final, peer-reviewed published version of this preprint can be found here:

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

Saldanha R, Mosnier Ã, Barcellos C, Carbunar A, Charron C, Desconnets JC, Guarmit B, Gomes MDSM, Mandon T, Mendes AM, Peiter PC, Musset L, Sanna A, Van Gastel B, Roux E

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

JMIR Public Health Surveill 2020;6(3):e15409

DOI: 10.2196/15409

PMID: 32663141

PMCID: 7492983

Cross-border malaria: contributing to elimination through a standardized solution for case surveillance, data sharing and interpretation

  • 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; 
  • Paulo César Peiter; 
  • Lise Musset; 
  • Alice Sanna; 
  • Benoît Van Gastel; 
  • Emmanuel Roux

ABSTRACT

Background:

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

Objective:

This study aimed to build a cross-border surveillance system available to all parties involved in malaria control between French Guiana and Brazil that can provide comparable and qualified data on the cross-border epidemiological situation of the disease.

Methods:

Data 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.

Results:

Online dashboards are available with regularly updated malaria case numbers in the cross-border area with different time aggregation levels, cartographic representation, and data quality representation.

Conclusions:

This cross-border monitoring tool could help to 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.


 Citation

Please cite as:

Saldanha R, Mosnier Ã, Barcellos C, Carbunar A, Charron C, Desconnets JC, Guarmit B, Gomes MDSM, Mandon T, Mendes AM, Peiter PC, Musset L, Sanna A, Van Gastel B, Roux E

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

JMIR Public Health Surveill 2020;6(3):e15409

DOI: 10.2196/15409

PMID: 32663141

PMCID: 7492983

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