This module will help you discover environment and health databases, and identify the scope and limits of available data. This module will also provide an opportunity to reflect on how to adapt processing tools and methods from public domain software to produce a systemic analysis of the environment-health interface. All this with a view to the One Health dimension.
At the end of this module, students will know the sources and types of data, their scope and limitations, learn how to manipulate and adjust them, and discover examples of databases. On a practical level, this module provides the tools for extracting information from multiple fields at the environment and health interface, critiquing and tagging them in relation to research objectives, organizing these multidisciplinary data and implementing free database processing software.
Program
- General introduction - critical review of the data used in the environment and health approach, based on field feedback;
- The organization and alignment of multidisciplinary Databases for interdisciplinary Research;
- Data-proofing the malaria model;
- Analyzing and critiquing the role of scales and limits in the spatialized analysis of environment-health relationships: Cross-border health in Latin America;
- Implement tools for spatial and temporal cross-analysis applied to multiple types of data: Application to epidemiological vigilance;
- Collective implementation of a theoretical research protocol applied to environment-health interactions based on spatialized data from the lessons taught during the first 5 half-days.
Prerequisites
- Minimum level, M2 Geography, ecology, public health, epidemiology (non-exhaustive list);
- Experience in developing countries desirable.
Coordinators* & Speakers
Christovam Barcellos, Florence Fournet, Helen Gurgel, Pascal Handschumacher*, Emmanuel Roux, Issaka Sagara, Paul Taconet, Benoît Van-Gastel.
Module organization
18 hours of lectures.
Course type
Face-to-face and live online.
Module price
Individual: €300
Institutional: €900