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Specifically, there is a need for quality and continuous environmental health indicator data that are disaggregated by age group and include children (Akachi et al. 2009).
Measuring inequality between subgroups requires the use of health data that are disaggregated according to a relevant dimension of inequality (i.e. demographic, socio-economic, or geographical factor).
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If we want to live in a world in 2030, where "no one is left behind", and crucially, where "no target is considered met unless met for all" then we need to ensure that countries have the capacity and capability to monitor and make accessible data that's disaggregated across all social and economic groups.
At the national level, MOEYS conducts periodic monitoring visits and collects data on preschool enrollment that are disaggregated by type of preschool, child's age, and child's gender.
In support and promotion of global health inequality monitoring, WHO products aim to provide disaggregated data that are comparable across countries, exemplify how global monitoring can be conducted and reported, and/or encourage discussion about the context and conduct of global health inequality monitoring.
Timely and disaggregated CPR estimates thus require high-quality data that are routinely collected and reported.
Many education ministries collect and share data that has been disaggregated in ways that lend itself to an assessment of disparities.
This allows for the efficient and consistent tracking of monitoring data that can be disaggregated by location, date, brand, or producer through an already-existing centralized data capture system (personal communication with Arthur Pagiwa, Zimbabwe Country Coordinator, Project Healthy Children, Jul 2015).
However, even when data are disaggregated by sex, they are rarely also disaggregated by urban and rural locations.
To the extent possible, data are disaggregated by gender, geographic location and socio-economic status.
When data on census tracts are disaggregated, it is possible to correlate the information.
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