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Optimal capacity sharing for global genomic surveillance

Epidemics, vol. 43, pp. 100690

Abstract

Recent technological advances and substantial cost reductions have made the genomic surveillance of pathogens during pandemics feasible. Our paper focuses on full genome sequencing as a tool that can serve two goals: the estimation of variant prevalences, and the identification of new variants. Assuming that capacity constraints limit the number of samples that can be sequenced, we solve for the optimal distribution of these capacities among countries. Our results show that if the principal goal of sequencing is prevalence estimation, then the optimal capacity distribution is less than proportional to the weights (e.g., sizes) of countries. If, however, the main aim of sequencing is the detection of new variants, capacities should be allocated to countries or regions that have the most infections. Applying our results to the sequencing of SARS-CoV-2 in 2021, we provide a comparison between the observed and a suggested optimal capacity distribution worldwide and in the EU. We believe that following such quantifiable guidance will increase the efficiency of genomic surveillance for pandemics.

Authors 2

  1. Leiden University

    Affiliation as printed

    Institute of Psychology, Leiden University, P.O. Box 9555, 2300 RB Leiden, Netherlands. Electronic address: z.z.meder@fsw.leidenuniv.nl

    Institute of Psychology, Leiden University, P.O. Box 9555, 2300 RB Leiden, Netherlands

  2. Budapest University of Technology and Economics · Institute of Economics · ELTE Centre for Economic and Regional Studies

    Affiliation as printed

    Faculty of Economic and Social Sciences, Budapest University of Technology and Economic. Muegyetem rkp. 3., H-1111 Budapest, Hungary; Institute of Economics, Centre for Economic and Regional Studies, Toth Kalman utca 4, H-1097 Budapest, Hungary. Electronic address: somogyi.robert@gtk.bme.hu

    Faculty of Economic and Social Sciences, Budapest University of Technology and Economic. Muegyetem rkp. 3., H-1111 Budapest, Hungary

    Institute of Economics, Centre for Economic and Regional Studies, Toth Kalman utca 4, H-1097 Budapest, Hungary

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References 24