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Adaptive COVID-19 Mitigation Strategies: Tradeoffs between Trigger Thresholds, Response Timing, and Effectiveness
Erinn C Sanstead1, Zongbo Li2, Shannon B McKearnan3
1Division of Health Policy, Minnesota Department of Health, State of Minnesota, St. Paul, MN, USA.
MDM Policy & Practice
|October 16, 2023
Summary
Adaptive nonpharmaceutical interventions (NPIs) for COVID-19 significantly cut hospitalizations. Adjusting NPI implementation speed, effectiveness, and trigger thresholds impacts response duration and peak hospitalization numbers.
Area of Science:
- Epidemiology
- Mathematical Modeling
- Public Health Policy
Background:
- Mathematical models are crucial for proactive decision-making during pandemics like COVID-19.
- Identifying surveillance indicator thresholds for nonpharmaceutical interventions (NPIs) helps protect healthcare capacity.
- Balancing public preferences with public health goals is key in adaptive response strategies.
Purpose of the Study:
- To evaluate tradeoffs between different adaptive COVID-19 response components.
- To compare adaptive nonpharmaceutical intervention (NPI) strategies based on implementation threshold, time, and effectiveness.
- To assess the impact of adaptive NPIs on peak hospitalizations and duration of intervention.
Main Methods:
- Utilized a compartmental model of SARS-CoV-2 transmission calibrated to Minnesota data.
- Evaluated adaptive policies considering NPI trigger threshold, implementation time, and effectiveness.
- Compared adaptive scenarios against a reference strategy with a defined hospitalization threshold and contact reduction.
Main Results:
- All adaptive NPI scenarios substantially reduced peak hospitalizations compared to no intervention.
- Slower NPI implementation led to slightly higher peak hospitalizations and longer intervention periods.
- Stronger NPIs resulted in marginally less time under intervention and lower hospitalization peaks.
- Higher trigger thresholds increased peak hospitalizations with minimal reduction in intervention duration.
Conclusions:
- Adaptive NPI strategies can effectively reduce infection spread and prevent healthcare system overload.
- Response design should consider population preferences, feasibility, and timeliness of compliance.
- Optimizing NPI parameters is essential for balancing public health and societal needs during a pandemic.
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