Evidence map›Paper›PMID 37662331›Full record

ArticlemedRxiv : the preprint server for health sciences2023

Modelling the Interplay between Responsive Individual Vaccination Decisions and the Spread of SARS-CoV-2.

Karina Wallrafen-Sam, Maria Garcia Quesada, Benjamin A Lopman, Samuel M Jenness

Open access · greenAbstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Karina Wallrafen-SamDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Maria Garcia QuesadaDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Benjamin A LopmanDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Samuel M JennessDepartment of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, Georgia, USA.
Emory University · US

Funding

COVID Global Mix - Global Mix / Investigation of COVID-19 Disease Parameters for Transmission Models in Low-Resource SettingsR01AI161399 · NIAID · YALE UNIVERSITY · PI Benjamin A Lopman, Saad B. Omer · 2022 to 2026
$3.4M
EpiModel 2.0: Integrated Network Models for HIV/STI Prevention ScienceR01AI138783 · NIAID · EMORY UNIVERSITY · PI JENNESS, SAMUEL · 2018 to 2021
$3.0M
Comprehensive Profiling of Social Mixing Patterns in Resource Poor CountriesR01HD097175 · NICHD · EMORY UNIVERSITY · PI LOPMAN, BENJAMIN A, OMER, SAAD B. · 2019 to 2023
$2.6M
NIAID NIH HHS R01 AI138783NIAID NIH HHS R01 AI161399
6 · The paper itself

Abstract

The uptake of COVID-19 vaccines remains low despite their high effectiveness. Epidemic models that represent decision-making psychology can provide insight into the potential impact of vaccine promotion interventions in the context of the COVID-19 pandemic. We coupled a network-based mathematical model of SARS-CoV-2 transmission in Georgia, USA with a social-psychological vaccination decision-making model in which vaccine side effects, post-vaccination infections, and other unidentified community-level factors could "nudge" individuals towards vaccine resistance while hospitalization spikes could nudge them towards willingness. Combining an increased probability of hospitalization-prompted resistant-to-willing switches with a decreased probability of willing-to-resistant switches prompted by unidentified community-level factors increased vaccine uptake and decreased SARS-CoV-2 incidence by as much as 30.7% and 24.0%, respectively. The latter probability had a greater impact than the former. This illustrates the disease prevention potential of vaccine promotion interventions that address community-level factors influencing decision-making and anticipate the case curve instead of reacting to it.

Identifiers

PMID37662331
PMCPMC10473817
OpenAlexW4386157023

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.