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

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...

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Main Authors: Saldanha, Raphael, Mosnier, Émilie, Barcellos, Christovam, Carbunar, Aurel, Charron, Christophe, Desconnets, Jean-Christophe, Guarmit, Basma, Gomes, Margarete Do Socorro Mendonça, Mandon, Théophile, Mendes, Anapaula Martins, Peiter, Paulo César, Musset, Lise, Sanna, Alice, Van Gastel, Benoît, Roux, Emmanuel
Format: Article
Language:English
Published: JMIR Publications 2020-09-01
Series:JMIR Public Health and Surveillance
Online Access:http://publichealth.jmir.org/2020/3/e15409/
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spelling doaj-19876b8aa7354522a5a8e56a9187e8a92021-05-03T01:43:27ZengJMIR PublicationsJMIR Public Health and Surveillance2369-29602020-09-0163e1540910.2196/15409Contributing to Elimination of Cross-Border Malaria Through a Standardized Solution for Case Surveillance, Data Sharing, and Data Interpretation: Development of a Cross-Border Monitoring SystemSaldanha, RaphaelMosnier, ÉmilieBarcellos, ChristovamCarbunar, AurelCharron, ChristopheDesconnets, Jean-ChristopheGuarmit, BasmaGomes, Margarete Do Socorro MendonçaMandon, ThéophileMendes, Anapaula MartinsPeiter, Paulo CésarMusset, LiseSanna, AliceVan Gastel, BenoîtRoux, Emmanuel 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.http://publichealth.jmir.org/2020/3/e15409/
collection DOAJ
language English
format Article
sources DOAJ
author Saldanha, Raphael
Mosnier, Émilie
Barcellos, Christovam
Carbunar, Aurel
Charron, Christophe
Desconnets, Jean-Christophe
Guarmit, Basma
Gomes, Margarete Do Socorro Mendonça
Mandon, Théophile
Mendes, Anapaula Martins
Peiter, Paulo César
Musset, Lise
Sanna, Alice
Van Gastel, Benoît
Roux, Emmanuel
spellingShingle Saldanha, Raphael
Mosnier, Émilie
Barcellos, Christovam
Carbunar, Aurel
Charron, Christophe
Desconnets, Jean-Christophe
Guarmit, Basma
Gomes, Margarete Do Socorro Mendonça
Mandon, Théophile
Mendes, Anapaula Martins
Peiter, Paulo César
Musset, Lise
Sanna, Alice
Van Gastel, Benoît
Roux, Emmanuel
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 and Surveillance
author_facet Saldanha, Raphael
Mosnier, Émilie
Barcellos, Christovam
Carbunar, Aurel
Charron, Christophe
Desconnets, Jean-Christophe
Guarmit, Basma
Gomes, Margarete Do Socorro Mendonça
Mandon, Théophile
Mendes, Anapaula Martins
Peiter, Paulo César
Musset, Lise
Sanna, Alice
Van Gastel, Benoît
Roux, Emmanuel
author_sort Saldanha, Raphael
title 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
title_short 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
title_full 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
title_fullStr 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
title_full_unstemmed 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
title_sort 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
publisher JMIR Publications
series JMIR Public Health and Surveillance
issn 2369-2960
publishDate 2020-09-01
description 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.
url http://publichealth.jmir.org/2020/3/e15409/
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