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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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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