In all countries, health agencies are seeking to enhance health surveillance to better control and mitigate the impact of diseases, thereby reducing their social and economic costs. Seasonal and/or environmental diseases are mainly infectious diseases, such as vector-borne diseases (malaria, dengue fever, chikungunya, transmitted by mosquitoes) and water-related diseases (leptospirosis). For the latter, monitoring environmental and climate dynamics can help predict their dynamics in space and time.
In recent years, health systems have been improving the reporting and monitoring of epidemiological information through integration into health information systems. The World Health Organization (WHO) has thus supported the use of DHIS2 (Digital Health Information System), today deployed in more than 100 countries. Despite increasing demand from health services, these systems do not integrate climate and environmental data as predictors of health dynamics. It is therefore necessary to make knowledge from space observation of climate and the environment operationally available for health surveillance purposes.
The ClimHealth project (Climate and environmental surveillance for health early warning) aims to develop an operational module of DHIS2 to integrate climate and environmental data (downloading, processing, visualization, relations with epidemiological data). This tool will make information from these data easily available, without requiring any knowledge of image acquisition and processing. It will contribute to the detection of signals for health early warning.
Territories for experimentation
- Yangon, Myanmar
Results - Final Products
The ClimHealth project will produce an environmental and climate data integration module for the DHIS2 health information system. This app will allow downloading data, processing them to create time series, integrating them into the DHIS2 database, searching and visualizing relationships between epidemiological and environmental data.
- ClimHealth app bêta version for DHIS2, applied to leptospirosis in Myanmar
- ClimHealth app for DHIS2
- Workshop (2 days) for application handling
- Epidemiological data:
- For Year 1, the project will use epidemiological data on leptospirosis in Yangon, Myanmar, from the ECOMORE II project. This project, funded by Agence Française pour le Développement, is a collaboration between the National Health Laboratory (NHL) in Myanmar, the Institut Pasteur du Cambodge and IRD, partners of ClimHealth project.
- For year 2, the project will be based on the test data sets proposed by DHIS2.
- Open-data: OpenStreetMap