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A minimal model for household-based testing and tracing in epidemics.
Greg Huber1, Mason Kamb1, Kyle Kawagoe2
1Chan Zuckerberg Biohub, San Francisco, CA 94158, United States of America.
Physical Biology
|January 12, 2021
Summary
This study proposes a minimal virus testing and tracing strategy for stratified populations. It involves random population testing and full household testing of positive cases to estimate required testing frequency.
Area of Science:
- Epidemiology
- Infectious disease modeling
- Public health strategies
Background:
- Previous work modeled virus transmission dynamics with clustered contacts (household vs. inter-household).
- Understanding effective testing and tracing is crucial for controlling infectious disease outbreaks in stratified populations.
Purpose of the Study:
- To propose and evaluate a minimal testing and tracing strategy for populations with clustered contact structures.
- To determine the necessary testing frequency for the proposed strategy's efficacy.
Main Methods:
- The study proposes a minimal tracing strategy combining random population-wide testing with comprehensive testing of contacts within households of identified positive individuals.
- Mathematical modeling and simulation approaches are implied for estimating testing frequency.
Main Results:
- The proposed strategy aims to balance resource allocation with effective disease surveillance.
- Estimates for the required testing frequency to ensure the strategy's success are provided.
Conclusions:
- A combined random and targeted household testing approach offers a potentially efficient method for virus surveillance in stratified populations.
- The findings provide practical insights into optimizing public health interventions for infectious disease control.
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