Evidence map›Paper›PMID 34628108›Full record

ArticleEpidemics2021

Challenges of evaluating and modelling vaccination in emerging infectious diseases.

Zachary J Madewell, Natalie E Dean, Jesse A Berlin, Paul M Coplan, Kourtney J Davis, Claudio J Struchiner, M Elizabeth Halloran

Open access · goldAbstract read
In one paragraph

Article in Epidemics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
1.3field-weighted citation impact, top 17% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 25 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 6 institutions in 2 countries.

Zachary J MadewellDepartment of Biostatistics, University of Florida, Gainesville, FL, USA. Electronic address: zmadewe@emory.edu.
Natalie E DeanDepartment of Biostatistics, University of Florida, Gainesville, FL, USA.
Jesse A BerlinGlobal Epidemiology, Johnson & Johnson, Titusville, NJ, USA.
Paul M CoplanMedical Device Epidemiology and Real World Data Sciences, Johnson & Johnson, New Brunswick, NJ, USA; Department of Epidemiology and Biostatistics, Perelman School of Medicine, University of Pennsylvania, PA, USA.
Kourtney J DavisGlobal Epidemiology, Janssen R&D, LLC, Titusville, NJ, USA.
Claudio J StruchinerEscola de Matemática Aplicada, Fundação Getúlio Vargas, Rio de Janeiro, Brazil.
M Elizabeth HalloranFred Hutchinson Cancer Research Center, Seattle, WA, USA; Department of Biostatistics, University of Washington, Seattle, WA, USA.
University of Florida · USFundação Getulio Vargas · BRJanssen (United States) · USJohnson & Johnson (United States) · USUniversity of Pennsylvania · USUniversity of Washington · US

Funding

Methods for Evaluating Vaccine EfficacyR37AI032042 · NIAID · FRED HUTCHINSON CANCER RESEARCH CENTER · PI HALLORAN, M ELIZABETH · 2010 to 2019
$5.1M
Design and Analysis of Vaccine Trials for Emerging Infectious Disease ThreatsR01AI139761 · NIAID · UNIVERSITY OF FLORIDA · PI DEAN, NATALIE EXNER · 2018 to 2022
$3.6M
Causal Inference in Infectious Disease Prevention StudiesR37AI085073 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Michael G Hudgens · 2026 to 2026
$394k
NIAID NIH HHS R01 AI139761NIAID NIH HHS R37 AI032042NIAID NIH HHS R37 AI085073
6 · The paper itself

Abstract

Outbreaks of emerging pathogens pose unique methodological and practical challenges for the design, implementation, and evaluation of vaccine efficacy trials. Lessons learned from COVID-19 highlight the need for innovative and flexible study design and application to quickly identify promising candidate vaccines. Trial design strategies should be tailored to the dynamics of the specific pathogen, location of the outbreak, and vaccine prototypes, within the regional socioeconomic constraints. Mathematical and statistical models can assist investigators in designing infectious disease clinical trials. We introduce key challenges for planning, evaluating, and modelling vaccine efficacy trials for emerging pathogens.

Indexed as

Communicable Diseases, EmergingCOVID-19HumansSARS-CoV-2VaccinationVaccine EfficacyEfficacy trialEmerging infectious diseasesMathematical modellingPreventive vaccines

Identifiers

PMID34628108
PMCPMC8491997
OpenAlexW3203562305

What OpenQuestion holds

Textmetadata
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.