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Comparison of the Estimates of Expected Incidence and R(t) between Different Approaches under Scenario 1.

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Figshare2022-09-01 更新2026-04-28 收录
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Mean squared error (MSE) is computed as the squared error that averaged across days. Sensitivity and specificity are computed for the event R(t)>1. Note that Approach I without using mobility data is equivalent to the original Fraser’s method implemented in EpiEstim.
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2022-09-01
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