Modeling vaccine allocation and equity implications of COVID-19 containment strategies

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Abstract

Given the shortage of global COVID-19 vaccines, a critical public concern is whether the strategy of allocation exerts a heterogeneous effect on settings that have imbalanced accessibility. Exacerbated by the mutational characteristics of the pathogen, traits of immunity protection of vaccines, and diversification of human behaviors, the pathway to the full eradication of the COVID-19 pandemic is becoming increasingly complicated and indeterminate. Population-wide evaluation of public interventions remains crucial to evaluate the performance of epidemiology policies. This study employ a mathematical compartmental model to examine the potential effect of vaccine allocation on the trajectory of COVID-19 transmission and the elicited equity implications. The outcomes imply that allocation strategies substantially impact the cumulative equilibrium size of a pandemic controlling for confounding factors. Under a framework of a two-dose primary vaccination strategy aiming to curb the total infections for high-accessibility settings (HAS) and low-accessibility settings(LAS), the traits of vaccination, pathogen, and human effort integrally affect the equilibrium of the COVID-19 pandemic in the medium perspective (i.e., up to 5 years). Vaccine allocation increases the healthcare and cost burden for HAS temporarily, in contrast, it reduces the risk of COVID-19 transmission for the LAS. The effects are consistent across a variety of profiles. By enhancing the administration rates of primary doses (i.e., mainly through dose 1 and dose 2), the magnitude of the COVID-19 pandemic decreases contingent on confounding factors. To minimize the magnitude of infection, it is of importance to dynamically monitor the immunity protection of vaccines, the dynamics of virus transmission, and the gap in the human effort.
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Modeling vaccine allocation and equity implications of COVID-19 containment strategies | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Article Modeling vaccine allocation and equity implications of COVID-19 containment strategies Ichiro Nakamoto, Jilin Zhang This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-1810566/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Given the shortage of global COVID-19 vaccines, a critical public concern is whether the strategy of allocation exerts a heterogeneous effect on settings that have imbalanced accessibility. Exacerbated by the mutational characteristics of the pathogen, traits of immunity protection of vaccines, and diversification of human behaviors, the pathway to the full eradication of the COVID-19 pandemic is becoming increasingly complicated and indeterminate. Population-wide evaluation of public interventions remains crucial to evaluate the performance of epidemiology policies. This study employ a mathematical compartmental model to examine the potential effect of vaccine allocation on the trajectory of COVID-19 transmission and the elicited equity implications. The outcomes imply that allocation strategies substantially impact the cumulative equilibrium size of a pandemic controlling for confounding factors. Under a framework of a two-dose primary vaccination strategy aiming to curb the total infections for high-accessibility settings (HAS) and low-accessibility settings(LAS), the traits of vaccination, pathogen, and human effort integrally affect the equilibrium of the COVID-19 pandemic in the medium perspective (i.e., up to 5 years). Vaccine allocation increases the healthcare and cost burden for HAS temporarily, in contrast, it reduces the risk of COVID-19 transmission for the LAS. The effects are consistent across a variety of profiles. By enhancing the administration rates of primary doses (i.e., mainly through dose 1 and dose 2), the magnitude of the COVID-19 pandemic decreases contingent on confounding factors. To minimize the magnitude of infection, it is of importance to dynamically monitor the immunity protection of vaccines, the dynamics of virus transmission, and the gap in the human effort. Full Text Additional Declarations There is NO Competing Interest. Supplementary Files Supplementdocumentary.docx Supplementary Information Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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