Evidence map›Paper›PMID 36777774›Full record

ArticleFrontiers in public health2022

Residential mobility predicts COVID-19 and seasonal flu vaccination behaviors in the United States.

Ning Zhang, Tao Jiang, Ying Zhang, Gang Zhao

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 46% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

4 authors at 3 institutions in 2 countries.

Ning ZhangDepartment of Social Medicine, School of Public Health and Center for Clinical Big Data Statistics, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Tao JiangInstitute for Policy Research, Northwestern University, Evanston, IL, United States.
Ying ZhangDepartment of Social Medicine, School of Public Health and Center for Clinical Big Data Statistics, The Second Affiliated Hospital of Zhejiang University School of Medicine, Hangzhou, China.
Gang ZhaoCenter for Disease Control and Prevention of Hangzhou, Hangzhou, China.
Second Affiliated Hospital of Zhejiang University · CNHangzhou Center for Disease Control and Prevention · CNNorthwestern University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: Vaccination is one of the most effective strategies to contain the transmission of infectious diseases; however, people's intentions and behavior for vaccination vary across different regions and countries around the world. It is not clear how socioecological factors such as residential mobility influence people's vaccination behaviors for infectious diseases. Methods: We analyzed public data on residential mobility and vaccination rates for COVID-19 and seasonal flu in the United States and explored how residential mobility in the previous year influenced vaccination rates for COVID-19 and seasonal flu (2011-2018) across 50 states of the US. The data were accessed and analyzed in 2021. Results: Study 1 demonstrated that collective-level residential mobility predicted COVID-19 vaccination rates across the United States ( Conclusions: Our research demonstrated that residential mobility is an important socioecological factor that influences people's vaccination behaviors for COVID-19 and seasonal flu. The results enrich our understanding of the socioecological factors that influence vaccination behaviors and have implications for developing tailored interventions to promote vaccination during pandemics of infectious diseases.

Indexed as

Communicable DiseasesCOVID-19Influenza, HumanCOVID-19 VaccinesHumansPopulation DynamicsSeasonsUnited StatesVaccinationCOVID-19 VaccinesCOVID-19public healthresidential mobilityseasonal fluvaccination behaviors

Identifiers

PMID36777774
PMCPMC9911524
OpenAlexW4318191304

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.