Journal article
Optimal SARS-CoV-2 vaccine allocation using real-time attack-rate estimates in Rhode Island and Massachusetts
BMC medicine, Vol.19(1), pp.1-162
07/13/2021
DOI: 10.1186/s12916-021-02038-w
PMCID: 8275456
PMID: 34253200
Abstract
BackgroundWhen three SARS-CoV-2 vaccines came to market in Europe and North America in the winter of 2020-2021, distribution networks were in a race against a major epidemiological wave of SARS-CoV-2 that began in autumn 2020. Rapid and optimized vaccine allocation was critical during this time. With 95% efficacy reported for two of the vaccines, near-term public health needs likely require that distribution is prioritized to the elderly, health care workers, teachers, essential workers, and individuals with comorbidities putting them at risk of severe clinical progression.MethodsWe 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 have been included in the first round of vaccination. And, we account for age-specific immune patterns in both states at the time of the start of the vaccination program. Our analysis assumes that health systems during winter 2020-2021 had 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.ResultsWe 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. This result is robust to different profiles of waning vaccine efficacy and several different assumptions on age mixing during and after lockdown periods. As we do not explicitly model other high-mortality groups, our results on vaccine allocation apply to all groups at high risk of mortality if infected. A median of 327 to 340 deaths can be avoided in Rhode Island (3444 to 3647 in Massachusetts) by optimizing vaccine allocation and vaccinating the elderly first. The vaccination campaigns are expected to save a median of 639 to 664 lives in Rhode Island and 6278 to 6618 lives in Massachusetts in the first half of 2021 when compared to a scenario with no vaccine. A policy of vaccinating only seronegative individuals avoids redundancy in vaccine use on individuals that may already be immune, and would result in 0.5% to 1% reductions in cumulative hospitalizations and deaths by mid-2021.ConclusionsAssuming high vaccination coverage (>28%) and no major changes in distancing, masking, gathering size, hygiene guidelines, and virus transmissibility between 1 January 2021 and 1 July 2021 a combination of vaccination and population immunity may lead to low or near-zero transmission levels by the second quarter of 2021.
Details
- Title: Subtitle
- Optimal SARS-CoV-2 vaccine allocation using real-time attack-rate estimates in Rhode Island and Massachusetts
- Creators
- Thu Nguyen-Anh Tran - Center for Disease Dynamics, Economics & PolicyNathan B. Wikle - Center for Disease Dynamics, Economics & PolicyEmmy Albert - Pennsylvania State UniversityHaider Inam - Center for Disease Dynamics, Economics & PolicyEmily Strong - Center for Disease Dynamics, Economics & PolicyKarel Brinda - Center for Disease Dynamics, Economics & PolicyScott M. Leighow - Center for Disease Dynamics, Economics & PolicyFuhan Yang - Center for Disease Dynamics, Economics & PolicySajid Hossain - Yale UniversityJustin R. Pritchard - Center for Disease Dynamics, Economics & PolicyPhilip Chan - Brown UniversityWilliam P. Hanage - Center for Disease Dynamics, Economics & PolicyEphraim M. Hanks - Center for Disease Dynamics, Economics & PolicyMaciej F. Boni - Center for Disease Dynamics, Economics & Policy
- Resource Type
- Journal article
- Publication Details
- BMC medicine, Vol.19(1), pp.1-162
- DOI
- 10.1186/s12916-021-02038-w
- PMID
- 34253200
- PMCID
- 8275456
- NLM abbreviation
- BMC Med
- ISSN
- 1741-7015
- eISSN
- 1741-7015
- Publisher
- Springer Nature
- Number of pages
- 14
- Grant note
- HHS N272201400007C / NIH/NIAID Center of Excellence in Influenza Research and Surveillance R35GM133700 / National Institute of General Medical Sciences of the National Institutes of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of General Medical Sciences (NIGMS) U54 GM088558 / NIGMS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute of General Medical Sciences (NIGMS) DMR-1420620 / Penn State MRSEC, Center for Nanoscale Science, NSF INV-005517 / Bill and Melinda Gates Foundation; Bill & Melinda Gates Foundation DMS-2015273 / NSF; National Science Foundation (NSF)
- Language
- English
- Date published
- 07/13/2021
- Academic Unit
- Statistics and Actuarial Science
- Record Identifier
- 9984446428302771
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