To gather intelligence on where prevention and aid are most needed, and to calculate the incidence rate per 1,000 for SDG reporting, you'll map the spatial and temporal distribution of malaria from 2000-2015.
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Citizen science data to track SDG progress
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Document
Offered by:
Elena Proden (UNITAR, coordinator), Karen Bett (GPSDD), Jillian Campbell (CBD), Haoyi Chen (UNSD), Sara Duerto Valero (UN Women), Dilek Fraisl (IIASA), Gabriel Gamez (UNSD), Stephen MacFeely (WHO), Yongyi Min (UNSD), Rosy Mondardini (CSCZ), and Linda See (IIASA).
Crowd4SDG, CSCZ, GPSDD, IIASA, WHO, UNITAR, UN Women, UNSD
SDG: SDG 3, SDG 14, SDG 17, SDG 17: Systemic Issues
National Superheroes office – Episode 2: Are the health data right?
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Video
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UNITAR, UNSD
SDG: Leave no one behind, SDG 3, SDG 17, SDG 17: Systemic Issues
SDG: SDG 3, SDG 17, SDG 17: Systemic Issues
SDG: SDG 3, SDG 17, SDG 17: Systemic Issues
SDG: SDG 3, SDG 8, SDG 17, SDG 17: Systemic Issues
Computation of the SDG indicators 3.4.1, 3.8.1, 3.c.1 and 6.3.1
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Video
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WHO, UNITAR
SDG: SDG 3, SDG 6, SDG 17, SDG 17: Systemic Issues