Cross-border epidemiological data integration and harmonization – Application to malaria in the cross-border area between French Guiana and Brazil

Emmanuel Roux (1) , Raphael Saldanha (2) , Christovam Barcellos (2) , Théophile Mandon (1) , Margarete Do Socorro Mendonca Gomes (3) , Emilie Mosnier (4) , Basma Guarmit (4) , Jean-Christophe Desconnets (1)

1 UMR 228 Espace-Dev, Espace pour le développement
2 ICICT - Institute of Scientific and Technological Communication and Information in Health / Instituto de Comunicação e Informação Científica e Tecnológica em Saúde [Rio de Janeiro]
3 SVS-AP
4 Département des Centres Délocalisés de Prévention et de Soins

Context Ensure healthy lives and promote well-being for all at all ages Target: By 2030, end the epidemics of AIDS, tuberculosis, malaria and neglected tropical diseases and combat hepatitis, water-borne diseases and other communicable diseases • Malaria: 216 million cases and 445 thousand deaths worldwide in 2016 (WHO, 2017) • Between 2000 and 2015, 58% and 37% decreases of the mortality and incidence rates, respectively • Socio-demographical and environmental contexts that vulnerabilize local populations • High mobility of pathogen-carrying populations • Patient follow-up difficulties (situations of illegality, auto-medication, ...) • Different strategies and means of surveillance, prevention and control of diseases between countries • Lack of international cooperation: Few regular exchange of comparable data and information between countries ⇒ Heterogeneous data types and formats, nomenclatures and concepts How to ensure cross-border epidemiological data interoperability on an ongoing basis? FTP server Computation and display application (R/Shiny) Harmonized DB Rebuilt DB Rebuilt DB Automated processing chain Integration and harmonization Indicator computation and visualization CHAR/CDPS Cayenne, FG Objectives and challenges • Integrate and harmonize automatically and regularly malaria cross-border epidemiological data • Disseminate indicators and data in an interpretable way for specialists, health actors and population In fine, this should conduct to • Provide a unified vision of the epidemiological cross-border situations • Participate to define concerted, targeted and effective control actions for disease elimination Cross-border malaria considered as a "Major obstacle for malaria elimination" [Wangdi et al., 2015] Paris France Study Region Ethical considerations • Exploitation and dissemination of anonymized data • Temporal and spatial aggregation of the data for public user profile • Authorization of the Commission Nationale de l'Informatique et des Libertés (CNIL) for personal data automatic processing and data transmission to a foreign country (ongoing request No. 2135463) • Multi-platform Extract Transform Load (ETL) tools (TALEND®) Harmonization rules based on expert knowledge in epidemiology and parasitology • Web services for data online publication • Web application (R-Shiny) for online data visualization CDPS ... Funding LMI Sentinela GAPAM Sentinela GCE18-Investment ID OPP1171795 Wangdi K. et al. Cross-border malaria: A major obstacle for malaria elimination. Adv. Parasitol. 2015, 89, 79-107 Barcellos C. et al. An observatory to gather and disseminate information on the health-related effects of environmental and climate change. Pan American Journal of Public Health. 2016. 40(3): 167-73 Roux E. et al. Un "site sentinelle" à la frontière franco-brésilienne pour comprendre et suivre les relations entre climat et santé. In Proceedings of the ENVIBRAS (Environnement et géomatique-approches comparées France Brésil) conference. Rennes; 2014:1-8

Domaines: Base de données [cs.DB]; Recherche d'information [cs.IR]; Autre [cs.OH]; Santé publique et épidémiologie; Sciences de l'information et de la communication

Emmanuel Roux, Raphael Saldanha, Christovam Barcellos, Théophile Mandon, Margarete Do Socorro Mendonca Gomes, et al.. Cross-border epidemiological data integration and harmonization – Application to malaria in the cross-border area between French Guiana and Brazil. Latin America and the Caribbean Scientific Data Management Workshop, Apr 2018, Rio de Janeiro, Brazil. ⟨hal-02541501⟩