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Climate Data Integration with DHIS2

DHIS2 provides flexible tools for integrating climate, weather, and environmental data–as well as other geospatial data sets–into DHIS2 data elements to facilitate analysis of climatic impacts on health outcomes and support predictive modeling of climate-sensitive diseases.

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    Supporting climate-resilient health systems through climate data integration

    In many health programs–such as infectious disease surveillance or maternal and child health–health outcomes can be directly and indirectly influenced by local climate variation, extreme weather events, and changes in human behavior linked to weather factors and climate change. Understanding the relationship between climate, weather, and environmental data and health outcomes is essential for developing effective public health interventions and adaptation strategies. This is especially true as climate change affects weather patterns worldwide.

    Ministries of Health in 75+ countries use DHIS2 as their locally owned, national-scale system for health information management, leveraging it for data-driven decision making across health programs. Through the DHIS2 Climate & Health project, we have developed innovative tools that make it possible for countries to easily integrate climate data drawn from the best available data sets–both local and global–into their existing DHIS2 systems, helping to strengthen their climate-resilience.

    • DHIS2 Climate App: A user-friendly application with DHIS2 that allows you to easily explore, import, and harmonize high-quality global climate, weather, and environmental data sets without writing any code. This app uses Google Earth Engine to access and process climate and environmental datasets. Local data sources will soon be available in the Climate App through the ENACTS initiative.
    • DHIS2 Climate Tools: A Python-based toolkit with open-source libraries and flexible workflows that you can use to access, process, and upload data from different sources to DHIS2 and the Chap Modeling Platform.

    The data integrated with these tools can be analyzed and visualized using the built-in analytics features in DHIS2, and can be used to power predictive modeling and forecasting of climate-sensitive diseases through the DHIS2 Chap Modeling Platform.

    DHIS2 Climate App: Climate data integration with no coding required

    The DHIS2 Climate App is a DHIS2 application that provides a means to easily integrate historical and current weather and environmental data from high-quality global datasets into DHIS2 through a user-friendly interface, with no coding required. It can be downloaded and installed into an existing DHIS2 system through the DHIS2 App Hub.

    The app allows DHIS2 users to explore daily and monthly temperature, precipitation, and humidity data–and more–for your organization units, and to import it as DHIS2 data elements. These data sets are automatically harmonized with health data in DHIS2, allowing them to be analyzed and visualized together through a variety of charts, graphs, and maps. They can also be used for predictive modeling through the DHIS2 Modeling App and Chap Modeling Platform.

    The app draws on a curated selection of high-quality data sources, including ERA-5 land, which is considered to be the most accurate and complete climate dataset available with worldwide coverage, the CHIRPS rainfall dataset, and satellite-based datasets from the Climate Hazards Center. Current datasets available in the Climate App include:

    • Average temperature and the temperature range (monthly and daily).
    • Precipitation (monthly and daily). Monthly values can be compared with averages from a 30-year reference period (1991-2020 and 1961-1990).
    • Humidity (monthly and daily), showing relative humidity combined with air temperature and dewpoint temperature.
    • Temperature anomaly, which shows how the monthly average temperature has changed since 1970.
    • Heat and cold stress based on the Universal Thermal Climate Index (UTCI), which combines the effects of air temperature, humidity, wind speed, and radiation on the human body.
    • 10-day weather forecast for any health facility (with coordinates defined).
    • Vegetation (16-day intervals) using the Normalized Difference Vegetation Index (NDVI), which is used to measure and monitor plant growth and vegetation cover.
    • Land cover (yearly) provides data for 17 different categories (e.g. cropland, wetlands, urban and built-up).
    • Elevation data on the mean, lowest and highest elevation for your organisation units.

    The data is calculated for DHIS2 organisation units by using Google Earth Engine. DHIS2 instances must have the Google Earth Engine enabled in order to use the Climate App. DHIS2 Climate Tools provide a fully open-source alternative, and we are currently working on open-source alternatives for data harmonization within the Climate App itself.

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    DHIS2 Climate Tools: Flexible open-source tools for data analysis and integration

    DHIS2 Climate Tools is a toolkit containing open-source libraries and workflows that you can use to access, process and upload local and global climate, weather and environmental data–or other geospatial datasets, such as intervention data–to DHIS2 and the Chap Modeling Platform.

    These tools are based on the Python programming language and ecosystem. Python is the leading programming language for geospatial analysis, offering a rich ecosystem of libraries and tools to build on, and helping make complex spatial operations accessible to both beginners and experts.

    Unlike the DHIS2 Climate App, using DHIS2 Climate Tools requires programming skills. This toolkit is intended for two primary audiences that carry out different functions related to climate data and DHIS2:

    • Data engineer: Use Climate Tools to integrate climate and environmental data from different sources, aggregating data to country regions (organisation units) to align it with health data and import the result into DHIS2.
    • Data scientist: Analyze and visualize climate data using tools and techniques that are not available in DHIS2. Climate Tools will allow you to work on raw data that contains more detail than data aggregated to organisation units.

    On the DHIS2 Climate Tools website, you can explore existing guides and workflows that have been developed by HISP HiO and our partners in the HISP network. DHIS2 Climate Tools is intended to be a collaborative toolkit–we welcome input and contributions from the global DHIS2 community.

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    Share your climate data integration needs & experiences

    DHIS2 tools for climate data integration are continuously evolving to respond to emerging country needs and global knowledge on climate and health. We invite you to share your questions, experiences, and ideas for data integration on the DHIS2 Community of Practice.

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