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

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HAL Id: hal-02541501

https://hal.archives-ouvertes.fr/hal-02541501

Submitted on 16 Apr 2020

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

Emmanuel Roux, Raphael Saldanha, Christovam Barcellos, Théophile Mandon, Margarete Do Socorro Mendonca Gomes, Emilie Mosnier, Basma

Guarmit, Jean-Christophe Desconnets

To cite this version:

Emmanuel Roux, Raphael Saldanha, Christovam Barcellos, Théophile Mandon, Margarete Do Socorro Mendonca Gomes, et al.. Cross-border epidemiological data integration and harmonization – Appli-cation 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�

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Technological choices

Brazil

French Guiana

Cross­border related issues

Data flow

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 Mendonça Gomes

3

, Emilie Mosnier

4

, Basma Guarmit

4

, Jean-Christophe Desconnets

1

1 ESPACE-DEV (IRD, Univ. de Montpellier, Univ. de la Rénion, Univ. de la Guyane, Univ. des Antilles), Institut de Recherche pour le Développement, France 2 Fiocruz, Instituto de Comunicação e Informação Científica e Tecnológica em Saúde (ICICT), Rio de Janeiro, Brazil

3 Superintendência de Vigilância em Saúde do Estado do Amapá (SVS-AP), Macapá, Amapá, Brazil

4 Centre Hospitalier Andrée Rosemon (CHAR), Pôle des Centres Délocalisés de Prévention et de Soin (CDPS), Cayenne, Guyane française

SIVEP Malária Brazil

ICICT/Fiocruz Brazil

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 R eb u ilt D B Reb u ilt D B A u to m at ed p ro ce s si n g c h ai n In te g ra ti o n a n d h ar m o n iz a ti o n In d ic at o r c o m p u ta ti o n a n d v is u al iz a ti o n 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 situationsParticipate 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

Brazilian Climate and Health Observatory [Barcellos et al., 2016] (Cross­border sentinel site [Roux et al., 2014]) Other Web sites .xls .dbf

Extract

Transform &

Load (ETL)

tools

Références

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