For variables such as population and other indicators that are available only once for several years rather than monthly, we currently repeat the available value across all months to create a monthly model. Is there a way in CHAP Model to use these annual one-time variables directly without repeating them for every month?
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For population and similar annual indicators, I would not regard monthly repetition as something that needs to be eliminated purely for statistical reasons.
So if you’re proposing a feature for CHAP, I would describe it as support for mixed-frequency covariates / automatic temporal alignment of covariates, rather than simply don’t repeat annual variables.
I’m sure you can do that 
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So far all the models will anyway resample them to monthly/weekly since they can only handle normal dataframes. If we get any models that handle yearly values in a specific way we might enable passing yearly values. But for now you dont loose any information by resampling yearly values to monthly in dhis2 and passing those
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