Literature DB >> 33469599

Optimal SARS-CoV-2 vaccine allocation using real-time seroprevalence estimates in Rhode Island and Massachusetts.

Thu Nguyen-Anh Tran1, Nathan Wikle2, Joseph Albert3, Haider Inam4, Emily Strong2, Karel Brinda5,6, Scott M Leighow4, Fuhan Yang1, Sajid Hossain7, Justin R Pritchard4, Philip Chan8, William P Hanage5, Ephraim M Hanks2, Maciej F Boni1.   

Abstract

As three SARS-CoV-2 vaccines come to market in Europe and North America in the winter of 2020-2021, distribution networks will be in a race against a major epidemiological wave of SARS-CoV-2 that began in autumn 2020. Rapid and optimized vaccine allocation is critical during this time. With 95% efficacy reported for two of the vaccines, near-term public health needs require that distribution is prioritized to the elderly, health-care workers, teachers, essential workers, and individuals with co-morbidities putting them at risk of severe clinical progression. Here, we evaluate various age-based vaccine distributions using a validated mathematical model based on current epidemic trends in Rhode Island and Massachusetts. We allow for varying waning efficacy of vaccine-induced immunity, as this has not yet been measured. We account for the fact that known COVID-positive cases may not be included in the first round of vaccination. And, we account for current age-specific immune patterns in both states. We find that allocating a substantial proportion ( > 75%) of vaccine supply to individuals over the age of 70 is optimal in terms of reducing total cumulative deaths through mid-2021. As we do not explicitly model other high mortality groups, this result on vaccine allocation applies to all groups at high risk of mortality if infected. Our analysis confirms that for an easily transmissible respiratory virus, allocating a large majority of vaccinations to groups with the highest mortality risk is optimal. Our analysis assumes that health systems during winter 2020-2021 have equal staffing and capacity to previous phases of the SARS-CoV-2 epidemic; we do not consider the effects of understaffed hospitals or unvaccinated medical staff. Vaccinating only seronegative individuals avoids redundancy in vaccine use on individuals that may already be immune, and will result in 1% to 2% reductions in cumulative hospitalizations and deaths by mid-2021. Assuming high vaccination coverage ( > 28%) and no major relaxations in distancing, masking, gathering size, or hygiene guidelines between now and spring 2021, our model predicts that a combination of vaccination and population immunity will lead to low or near-zero transmission levels by the second quarter of 2021.

Entities:  

Year:  2021        PMID: 33469599      PMCID: PMC7814845          DOI: 10.1101/2021.01.12.21249694

Source DB:  PubMed          Journal:  medRxiv


  14 in total

1.  Influenza drift and epidemic size: the race between generating and escaping immunity.

Authors:  Maciej F Boni; Julia R Gog; Viggo Andreasen; Freddy B Christiansen
Journal:  Theor Popul Biol       Date:  2004-03       Impact factor: 1.570

2.  Optimizing influenza vaccine distribution.

Authors:  Jan Medlock; Alison P Galvani
Journal:  Science       Date:  2009-08-20       Impact factor: 47.728

3.  The final size of an epidemic and its relation to the basic reproduction number.

Authors:  Viggo Andreasen
Journal:  Bull Math Biol       Date:  2011-01-06       Impact factor: 1.758

4.  CoMix: comparing mixing patterns in the Belgian population during and after lockdown.

Authors:  Pietro Coletti; James Wambua; Amy Gimma; Lander Willem; Sarah Vercruysse; Bieke Vanhoutte; Christopher I Jarvis; Kevin Van Zandvoort; John Edmunds; Philippe Beutels; Niel Hens
Journal:  Sci Rep       Date:  2020-12-14       Impact factor: 4.379

5.  The Advisory Committee on Immunization Practices' Interim Recommendation for Allocating Initial Supplies of COVID-19 Vaccine - United States, 2020.

Authors:  Kathleen Dooling; Nancy McClung; Mary Chamberland; Mona Marin; Megan Wallace; Beth P Bell; Grace M Lee; H Keipp Talbot; José R Romero; Sara E Oliver
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2020-12-11       Impact factor: 17.586

6.  Assessing the age specificity of infection fatality rates for COVID-19: systematic review, meta-analysis, and public policy implications.

Authors:  Andrew T Levin; William P Hanage; Nana Owusu-Boaitey; Kensington B Cochran; Seamus P Walsh; Gideon Meyerowitz-Katz
Journal:  Eur J Epidemiol       Date:  2020-12-08       Impact factor: 8.082

7.  Model-informed COVID-19 vaccine prioritization strategies by age and serostatus.

Authors:  Kate M Bubar; Kyle Reinholt; Stephen M Kissler; Marc Lipsitch; Sarah Cobey; Yonatan H Grad; Daniel B Larremore
Journal:  Science       Date:  2021-01-21       Impact factor: 47.728

8.  The Advisory Committee on Immunization Practices' Ethical Principles for Allocating Initial Supplies of COVID-19 Vaccine - United States, 2020.

Authors:  Nancy McClung; Mary Chamberland; Kathy Kinlaw; Dayna Bowen Matthew; Megan Wallace; Beth P Bell; Grace M Lee; H Keipp Talbot; José R Romero; Sara E Oliver; Kathleen Dooling
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2020-11-27       Impact factor: 17.586

9.  Age-dependent effects in the transmission and control of COVID-19 epidemics.

Authors:  Petra Klepac; Yang Liu; Nicholas G Davies; Kiesha Prem; Mark Jit; Rosalind M Eggo
Journal:  Nat Med       Date:  2020-06-16       Impact factor: 53.440

10.  Vaccinating to protect a vulnerable subpopulation.

Authors:  Jonathan Dushoff; Joshua B Plotkin; Cecile Viboud; Lone Simonsen; Mark Miller; Mark Loeb; David J D Earn
Journal:  PLoS Med       Date:  2007-05       Impact factor: 11.069

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.