New paper co-authored by myself & my @WHO colleagues. It covers data gaps in 47 low- and middle-income countries & their effect on achieving our health-related #SDGs & #TripleBillion targets.
Full paper 🔽
ncbi.nlm.nih.gov/pmc/articles/P…
(1/5)
Full paper 🔽
ncbi.nlm.nih.gov/pmc/articles/P…
(1/5)
Country’s progress to reach the #TripleBillion targets & health-related SDGs are tracked through 46 indicators. For many low-income countries, international surveys are the only way to monitor them and we found #HealthData gaps exist in all 47 countries. (2/5)
Some key recommendations:
🔹 Collaboration between surveys to ensure data is comparable & close data gaps
🔹 Shorter cycles between surveys to ensure policies are informed by most recent data
🔹 Use of mobile technology & network services for surveys
(3/5)
🔹 Collaboration between surveys to ensure data is comparable & close data gaps
🔹 Shorter cycles between surveys to ensure policies are informed by most recent data
🔹 Use of mobile technology & network services for surveys
(3/5)
Better surveillance systems strengthen our ability to track & accelerate progress on the #SDGs & #TripleBillion targets. This isn’t just beneficial for low-income countries – timely, comparable and credible data is crucial to measure progress & mitigate problems globally. (4/5)
The SCORE for Health Data Technical Package finds gaps in #HealthData & offers a toolkit to target them. Via coordinated efforts to mitigate data gaps, every country can/should achieve the highest ranking on the next SCORE assessment.
About SCORE:
who.int/data/stories/s…
(5/5)
About SCORE:
who.int/data/stories/s…
(5/5)
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