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SARS-CoV-2 Testing Strategies for Outbreak Mitigation in Vaccinated Populations
Chirag K. Kumar; Ruchita Balasubramanian; Stefano Ongarello; Sergio Carmona; Ramanan Laxminarayan.
Affiliation
  • Chirag K. Kumar; Princeton University, Princeton, NJ, USA
  • Ruchita Balasubramanian; Center for Disease Dynamics, Economics, and Policy, New Delhi, India
  • Stefano Ongarello; Foundation for Innovative New Diagnostics, Geneva, Switzerland
  • Sergio Carmona; Foundation for Innovative New Diagnostics, Geneva, Switzerland
  • Ramanan Laxminarayan; Center for Disease Dynamics, Economics, and Policy, New Delhi, India
Preprint in En | PREPRINT-MEDRXIV | ID: ppmedrxiv-22270483
ABSTRACT
Although COVID-19 vaccines are globally available, waning immunity and emerging vaccine-evasive variants of concern have hindered the international response as COVID-19 cases continue to rise. Mitigating COVID-19 requires testing to identify and isolate infectious individuals. We developed a stochastic compartmentalized model to simulate SARS-CoV-2 spread in the United States and India using Reverse Transcriptase Polymerase Chain Reaction (RT-PCR) assays, rapid antigen tests, and vaccinations. We detail the optimal testing frequency and coverage in the US and India to mitigate an emerging outbreak even in a vaccinated population overall, maximizing frequency is more important, but high coverage remains necessary when there is sustained transmission. We show that a resource-limited vaccination strategy still requires high-frequency testing and is 16.50% more effective in India than the United States. Tailoring testing strategies to transmission settings can help effectively reduce cases more than if a uniform approach is employed without regard to differences in location.
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Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Language: En Year: 2022 Document type: Preprint
Full text: 1 Collection: 09-preprints Database: PREPRINT-MEDRXIV Language: En Year: 2022 Document type: Preprint