Dengue MOdel forecasting Satellite-based System (D-MOSS).
Origin language: English
Country
Malaysia
Vietnam
Sri Lanka
Coverage
National
Nb of implementation sites
N/A
Lead organization
Implementation partners
Health Focus Area
Environmental health
Emergencies
Communicable diseases
Services
Decision Support
Enabling technologies
N/A
Standards
N/A
Tools
N/A
Funding sources
Others
Government funds
Business model
Others
Funders
N/A
Summary
Developed by a consortium led by HR Wallingford and sponsored by the United Kingdom (UK) Space Agency’s International Partnership Programme, D-MOSS is the first fully integrated dengue fever forecasting system incorporating Earth observations and seasonal climate forecasts to issue warnings on a routine basis. D-MOSS integrates multiple stressors such as water availability, land-cover, precipitation, and temperature with data on past dengue fever incidents. This information is used to develop statistical models of disease incidence, which can then be used to forecast dengue outbreaks based on seasonal weather and hydrological forecasts as well as other factors. D-MOSS takes the form of a web-based platform.
The system’s architecture is based on open and non-proprietary software, where possible, and on flexible deployment into platforms including cloud-based virtual storage and application processing. This suite of innovative tools will allow beneficiaries to issue alerts for dengue fever up to eight months in advance (with a view to develop the same for Zika virus) and provide assessments of vector-borne disease risk under future climate and land use change scenarios. It will allow local communities to mobilize and eliminate mosquito-breeding sites, thus reducing dengue incidence.
Keywords
Space and Global Health
Decision making
Decision support
Ear
Publications
Probabilistic seasonal dengue forecasting in Vietnam: A modelling study using superensemblesA Review of Dengue’s Historical and Future Health Risk from a Changing ClimateInteractions between climate change, urban infrastructure and mobility are driving dengue emergence in VietnamThe Effects of Meteorological Factors on Dengue Cases in Malaysia’Relaxation of anti-COVID-19 measures reveals new challenges for infectious disease outbreak forecastingInsights - Lessons learnt
Challenges
N/A
Recommendations
N/A
Recommendations
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Any additional questions?
iDHA (Project ID)
025n2a
Project links
https://www.d-moss.org/Origin of information
Website
Data source link
https://www.d-moss.org/Added to the platform on
2025-11-27
Project editors
Last update by
Gina Tsarouchi on 2025-12-02
Number of views
77
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