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Containment of future waves of COVID-19: simulating the impact of different policies and testing capacities for contact tracing, testing, and isolation

We used multi-agent simulations to estimate the testing capacity required to find and isolate a number of infections sufficient to break the chain of transmission of SARS-CoV-2. Depending on the mitigation policies in place, a daily capacity between 0.7 to 3.6 tests per thousand was required to cont...

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Detalles Bibliográficos
Autores principales: Fiore, Vincenzo G., DeFelice, Nicholas, Glicksberg, Benjamin S., Perl, Ofer, Shuster, Anastasia, Kulkarni, Kaustubh, O’Brien, Madeline, Pisauro, M. Andrea, Chung, Dongil, Gu, Xiaosi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7302294/
https://www.ncbi.nlm.nih.gov/pubmed/32577688
http://dx.doi.org/10.1101/2020.06.05.20123372
Descripción
Sumario:We used multi-agent simulations to estimate the testing capacity required to find and isolate a number of infections sufficient to break the chain of transmission of SARS-CoV-2. Depending on the mitigation policies in place, a daily capacity between 0.7 to 3.6 tests per thousand was required to contain the disease. However, if contact tracing and testing efficacy dropped below 60% (e.g. due to false negatives or reduced tracing capability), the number of infections kept growing exponentially, irrespective of any testing capacity. Under these conditions, the population’s geographical distribution and travel behaviour could inform sampling policies to aid a successful containment.