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Seventeen signals detected only by HLMrefined were attributable to accounting for lags in data accrual (10 signals were first detectable after 1-week lag, 4 signals after 2 weeks, 2 signals after 3 weeks, and 1 signal after 4 weeks).
In HLMoriginal, 4 major causes of bias existed: 1) inconsistent case inclusion criteria between current and historical data; 2) lack of adjustment in historical data for gradual trends; 3) lack of adjustment in historical data for disease clusters or aberrations; and 4) no consideration of reporting delays and lags in data accrual.
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Mexico also lags in data-collection: next week the CEC is due to publish a report on industrial emissions and air pollution, but in the United States and Canada only, because Mexican factories do not have to report their emissions.These things need to change.
A lag in data collection means that complete national statistics are not yet available, but snapshot figures from 18 food banks around the country show that all have seen demand rise during the summer break.
Any lag in data can cause a loss in users and potential revenue.
Existing regulations, too, are contributing to a lag in data interoperability.
We observe that the results do not vary greatly when the lag in data availability is modified.
However, the off-line, daily or weekly data reporting mode induces a time lag in data collection, transmission, processing, and responses.
Note that, although the readers are reading continuously, there may be a lag in data storage if multiple readers are reading simultaneously, but the time of the lag is negligible.
That ongoing lag in data that is reported in each updated NATA is a widespread concern.
Furthermore, manual entry on the part of schools' attendance offices may lead to a lag in data submission time, and data may contain typographical errors.
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