Evidence map›Paper›PMID 33323388›Full record

ArticleBMJ (Clinical research ed.)2020

Global, regional, and national estimates of target population sizes for covid-19 vaccination: descriptive study.

Wei Wang, Qianhui Wu, Juan Yang, Kaige Dong, Xinghui Chen, Xufang Bai, Xinhua Chen, Zhiyuan Chen, Cécile Viboud, Marco Ajelli and 1 more

Open access · hybridAbstract read
In one paragraph

Article in BMJ (Clinical research ed.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 5 pooled it
21.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

106 citing papers in PubMed, 5 syntheses or guidelines pooled it, 198 citations in OpenAlex.

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46 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 2 countries.

Wei WangSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, 138 Yixueyuan Road, Xuhui District, 200032 Shanghai, China.
Qianhui WuSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, 138 Yixueyuan Road, Xuhui District, 200032 Shanghai, China.
Juan YangSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, 138 Yixueyuan Road, Xuhui District, 200032 Shanghai, China.
Kaige DongSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, 138 Yixueyuan Road, Xuhui District, 200032 Shanghai, China.
Xinghui ChenSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, 138 Yixueyuan Road, Xuhui District, 200032 Shanghai, China.
Xufang BaiSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, 138 Yixueyuan Road, Xuhui District, 200032 Shanghai, China.
Xinhua ChenSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, 138 Yixueyuan Road, Xuhui District, 200032 Shanghai, China.
Zhiyuan ChenSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, 138 Yixueyuan Road, Xuhui District, 200032 Shanghai, China.
Cécile ViboudDivision of International Epidemiology and Population Studies, Fogarty International Center, National Institutes of Health, Bethesda, MD, USA.
Marco AjelliDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health, Bloomington, IN, USA.
Hongjie YuSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, 138 Yixueyuan Road, Xuhui District, 200032 Shanghai, China.ORCID 0000-0002-6335-5648
Fudan University · CNNational Institutes of Health · USNortheastern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo provide global, regional, and national estimates of target population sizes for coronavirus disease 2019 (covid-19) vaccination to inform country specific immunisation strategies on a global scale.

designDescriptive study.

setting194 member states of the World Health Organization. POPULATION: Target populations for covid-19 vaccination based on country specific characteristics and vaccine objectives (maintaining essential core societal services; reducing severe covid-19; reducing symptomatic infections and stopping virus transmission).

main outcome measureSize of target populations for covid-19 vaccination. Estimates use country specific data on population sizes stratified by occupation, age, risk factors for covid-19 severity, vaccine acceptance, and global vaccine production. These data were derived from a multipronged search of official websites, media sources, and academic journal articles.

resultsTarget population sizes for covid-19 vaccination vary markedly by vaccination goal and geographical region. Differences in demographic structure, presence of underlying conditions, and number of essential workers lead to highly variable estimates of target populations at regional and country levels. In particular, Europe has the highest share of essential workers (63.0 million, 8.9%) and people with underlying conditions (265.9 million, 37.4%); these two categories are essential in maintaining societal functions and reducing severe covid-19, respectively. In contrast, South East Asia has the highest share of healthy adults (777.5 million, 58.9%), a key target for reducing community transmission. Vaccine hesitancy will probably impact future covid-19 vaccination programmes; based on a literature review, 68.4% (95% confidence interval 64.2% to 72.6%) of the global population is willing to receive covid-19 vaccination. Therefore, the adult population willing to be vaccinated is estimated at 3.7 billion (95% confidence interval 3.2 to 4.1 billion).

conclusionsThe distribution of target groups at country and regional levels highlights the importance of designing an equitable and efficient plan for vaccine prioritisation and allocation. Each country should evaluate different strategies and allocation schemes based on local epidemiology, underlying population health, projections of available vaccine doses, and preference for vaccination strategies that favour direct or indirect benefits.

Indexed as

Population DensityVaccination CoverageCOVID-19COVID-19 VaccinesGlobal HealthHealth PrioritiesHumansImmunization ProgramsRegional Health PlanningSARS-CoV-2World Health OrganizationCOVID-19 Vaccines

Identifiers

PMID33323388
PMCPMC7736995
OpenAlexW3111542598

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.