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

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 that can provide comparable and qualified data available to all parties involved in malaria control between French Guiana and Brazil. 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 A database gathering the harmonized data on cross-border malaria epidemiology is monthly updated with the 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. It is shown that the monitoring system is 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. 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. CLINICALTRIAL