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COVID-19 Contact Tracing as an Indicator for Evaluating a Pandemic Situation: Simulation Study.
Manuel Marques-Cruz1,2,3,4, Diogo Nogueira-Leite1,2,3, João Miguel Alves1,2,3
1Department of Community Medicine, Information and Decision in Health, Faculty of Medicine, University of Porto, Porto, Portugal.
Contact tracing effectiveness can be measured by the ratio of COVID-19 cases from quarantined contacts. This ratio helps predict pandemic phases and guides public health decisions for better COVID-19 control.
Area of Science:
- Epidemiology
- Public Health
- Infectious Disease Modeling
Background:
- Contact tracing is crucial for controlling COVID-19 transmission by breaking chains of infection.
- Resource limitations impact contact tracing capacity, necessitating effectiveness threshold estimation.
- A higher ratio of COVID-19 cases from quarantined high-risk contacts indicates better epidemic control.
Purpose of the Study:
- To assess the ratio of COVID-19 cases in quarantined high-risk contacts as a pandemic control indicator.
- To establish a theoretical effectiveness threshold for contact tracing.
Main Methods:
- A 6-compartment epidemiological model was developed using Portuguese COVID-19 data.
- Simulations incorporated infection risk, time to infection, and vaccine efficacy, including variants and boosters.
- The daily ratio of infected cases from high-risk contacts (q estimate) was calculated and analyzed against pandemic phases and lockdowns.
Main Results:
- An inverse relationship (correlation >0.70) was observed between the q estimate and daily COVID-19 cases.
- Theoretical effectiveness thresholds showed a positive predictive value >70% in the alert phase.
- The q estimate could have predicted the need for additional measures 4 days prior to the second and fourth lockdowns.
Conclusions:
- The study demonstrates the impact of an effectiveness threshold for contact tracing on public health decision-making.
- The q estimate serves as an indirect indicator of contact tracing efficacy.
- This metric can help predict pandemic phases and inform the necessity of further restrictions.
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