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Published on: November 10, 2023
Inferring the effective start dates of non-pharmaceutical interventions during COVID-19 outbreaks
Ilia Kohanovski1, Uri Obolski2, Yoav Ram3
1School of Computer Science, Reichman University, Herzliya 4610101 Israel.
Background:
During Feb-Apr. 2020, many countries implemented non-pharmaceutical interventions (NPIs), such as school closures and lockdowns, to control the COVID-19 pandemic caused by the SARS-CoV-2 virus. Overall, these interventions seem to have reduced the spread of the pandemic. We hypothesized that the official and effective start dates of NPIs can be noticeably different, for example, due to slow adoption by the population, and that these differences can lead to errors in the estimation of the impact of NPIs.
Methods:
SEIR models were fitted to case data from 12 regions to infer the effective start dates of interventions and compare these with the official dates. The impact of NPIs was estimated from the inferred model parameters.
Results:
We infer mostly late effective start dates of interventions. For example, Italy implemented a lockdown on Mar 11, but we infer the effective start date on Mar 17 (+3.05-2.01 days 95% CI). Moreover, we find that the impact of NPIs can be underestimated if it is assumed they start on their official date.
Conclusions:
Differences between the official and effective start of NPIs are likely. Neglecting such differences can lead to underestimation of the impact of NPIs, which could cause decision-makers to escalate interventions and guidelines.
Insights
The effective start dates for non-pharmaceutical interventions (NPIs) against COVID-19 often lag behind official announcements, potentially underestimating their true impact on pandemic control.
Area of Science:
- Epidemiology
- Public Health Policy
- Mathematical Modeling
Background:
- Non-pharmaceutical interventions (NPIs) like lockdowns were widely used in early 2020 to curb COVID-19 transmission.
- These measures appeared effective overall, but their precise impact may be influenced by implementation timing.
Purpose of the Study:
- To investigate discrepancies between official and effective start dates of NPIs.
- To assess how these timing differences affect estimations of NPI impact on COVID-19 spread.
Main Methods:
- Utilized SEIR models fitted to COVID-19 case data from 12 regions.
- Inferred effective intervention start dates and compared them to official implementation dates.
- Estimated the impact of NPIs using inferred model parameters.
Main Results:
- Effective start dates for NPIs were frequently later than officially declared.
- For instance, an Italian lockdown announced March 11th had an inferred effective start date around March 17th.
- Underestimating NPI impact occurs when official, rather than effective, start dates are used in analyses.
Conclusions:
- Significant differences between official and effective NPI start dates are common.
- Ignoring these timing discrepancies can lead to underestimation of NPI effectiveness.
- This underestimation may prompt premature or excessive escalation of public health interventions.
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