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Measuring the Success of the US Covid-19 Vaccine Campaign—It’s Time to Invest in and Strengthen Immunization Information Systems

Bibliographic Data

ID11020517
AuthorsJade Benjamin-Chung, Jade Benjamin‐Chung (0000-0003-3631-3132, Jade Benjamin-Chung and Arthur Reingold are with the Division of Epidemiology & Biostatistics, University of California, Berkeley.), Arthur Reingold (Jade Benjamin-Chung and Arthur Reingold are with the Division of Epidemiology & Biostatistics, University of California, Berkeley.)
Year2021
Volume111
Issue6
Pages1078-1080
Publication date2021-06-01
Open AccessNo
TypeARTICLE
VenueAmerican Journal of Public Health (JOURNAL)
Journal identifiersISSN: 0090-0036 • E-ISSN: 1541-0048
PublisherAmerican Public Health Association (PUBLISHER • US)
DOI10.2105/ajph.2021.306177
PMID33600253
OpenAlexW3133337413
LanguageEN
Citations received3
References cited4

With the recent US Food and Drug Administration approval of the Pfizer-BioNTech and Moderna SARS-CoV-2 vaccines, the United States has begun COVID-19 vaccine dissemination. The vaccination program is historic in its massive scope and complexity. It requires accurate, real-time estimates of vaccine coverage to assess progress toward achieving herd immunity. Under Operation Warp Speed, the US Centers for Disease Control and Prevention (CDC) has constructed a federal database, or lake, to monitor vaccine coverage nationwide and ensure that recipients receive both of the necessary doses. The data lake will be managed separately from existing state and local immunization information systems (IISs), which house vaccine data in all 50 states, five cities, the District of Columbia, and eight territories. In an open letter to the Director of the CDC in late 2020, four organizations representing immunization managers and public health officials expressed concerns about the plan to include vaccine recipients' personal identifier information in the data lake.1 They also urged stronger coordination with IISs. (Am J Public Health. Published online ahead of print Feburary 18, 2021: e1-e3. https://doi.org/10.2105/AJPH.2021.306177)

Coronavirus disease 2019 (COVID-19) · Disease · Disease control · Environmental health · Herd immunity · Immunization · Infectious disease (medical specialty) · Pandemic · Political science · Public health · Public relations · State (computer science) · Vaccination · Computer Science · COVID-19 epidemiological studies · Data-Driven Disease Surveillance · Immunology · Medicine · Vaccine Coverage and Hesitancy · Virology

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Citations per year0.75
Citation span2022 - 2024 (3)
Highly citedNo

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