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It could be possible to run a model with small amounts of “positive” data, however with fewer data there is a higher chance of more uncertainty in the model, which would be demonstrated by a PBT close to 50%.
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Ground-truthing is difficult using field data because surveys take a sample of the total EU population to provide a prevalence estimate. To know the true prevalence, we would need to examine every individual in the EU. An alternative to grou...
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Technically, as long as data were generated using either GTMP or Tropical Data methods, they can be used regardless of when they were collected. Currently the most recent data available for an area are preferentially selected for use in MBG, as th...
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The extent to which we're able to borrow information from other EUs depends on the data and the strength of spatial correlation, and is decided on a case-by-case basis. For example, in some cases correlations between trachoma prevalence spans ...
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The covariate data are sourced from a number of places, and these may change and be updated over time. Current sources include WorldPop, Malaria Atlas Project, DHS, CHIRPS, etc.
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Current research conducted by RTI International and Lancaster University is focused on investigating the most useful covariates that consistently demonstrate a significant relationship with trachoma prevalence. From a starting point of over 60 cov...
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MBG uses regression models to predict the prevalence of trachoma (TF or TT). A regression model describes the relationship between a target (in this case, TF or TT prevalence), and one or more independent variables. These variables could include t...
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This is a technical decision and a political one. We will seek advice from the SAG to help make recommendations to health ministries for such scenarios.