Evidence map›Paper›PMID 36811852›Full record

ArticleJMIR public health and surveillance2023

COVID-19 Vaccine Acceptance and Uptake in Bangkok, Thailand: Cross-sectional Online Survey.

Christopher Remmel, Gaurav Tuli, Tanner J Varrelman, Aimee R Han, Pakkanan Angkab, Hathairat Kosiyaporn, Chanikarn Netrpukdee, Supatnuj Sorndamrih, Thaksaphon Thamarangsi, John S Brownstein and 1 more

Open access · goldAbstract read
In one paragraph

Article in JMIR public health and surveillance, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

4 citing papers in PubMed, 4 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

11 authors at 4 institutions in 2 countries.

Christopher Remmel *Computational Epidemiology Lab, Boston Children's Hospital, Boston, MA, United States.ORCID 0000-0002-4696-3692
Gaurav Tuli *Computational Epidemiology Lab, Boston Children's Hospital, Boston, MA, United States.ORCID 0000-0002-5626-7463
Tanner J VarrelmanComputational Epidemiology Lab, Boston Children's Hospital, Boston, MA, United States.ORCID 0000-0002-8766-0129
Aimee R HanComputational Epidemiology Lab, Boston Children's Hospital, Boston, MA, United States.ORCID 0000-0001-8927-3432
Pakkanan AngkabInternational Health Policy Program, Ministry of Public Health, Nonthaburi, Thailand.ORCID 0009-0004-3369-5133
Hathairat KosiyapornInternational Health Policy Program, Ministry of Public Health, Nonthaburi, Thailand.ORCID 0000-0002-7203-8089
Chanikarn NetrpukdeeInternational Health Policy Program, Ministry of Public Health, Nonthaburi, Thailand.ORCID 0000-0001-7796-384X
Supatnuj SorndamrihThaiHealth Promotion Foundation, Bangkok, Thailand.ORCID 0009-0005-5642-1642
Thaksaphon ThamarangsiInternational Health Policy Program, Ministry of Public Health, Nonthaburi, Thailand.ORCID 0000-0001-6946-3458
John S BrownsteinComputational Epidemiology Lab, Boston Children's Hospital, Boston, MA, United States.ORCID 0000-0001-8568-5317
Christina M AstleyComputational Epidemiology Lab, Boston Children's Hospital, Boston, MA, United States.ORCID 0000-0002-5063-8470
Boston Children's Hospital · USMinistry of Public Health · THBroad Institute · USThai Health Promotion Foundation · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe third most severe COVID-19 wave in the middle of 2021 coincided with the dual challenges of limited vaccine supply and lagging acceptance in Bangkok, Thailand. Understanding of persistent vaccine hesitancy during the "608" campaign to vaccinate those aged over 60 years and 8 medical risk groups was needed. On-the-ground surveys place further demands on resources and are scale limited. We leveraged the University of Maryland COVID-19 Trends and Impact Survey (UMD-CTIS), a digital health survey conducted among daily Facebook user samples, to fill this need and inform regional vaccine rollout policy.

objectiveThe aims of this study were to characterize COVID-19 vaccine hesitancy, frequent reasons for hesitancy, mitigating risk behaviors, and the most trusted sources of COVID-19 information through which to combat vaccine hesitancy in Bangkok, Thailand during the 608 vaccine campaign.

methodsWe analyzed 34,423 Bangkok UMD-CTIS responses between June and October 2021, coinciding with the third COVID-19 wave. Sampling consistency and representativeness of the UMD-CTIS respondents were evaluated by comparing distributions of demographics, 608 priority groups, and vaccine uptake over time with source population data. Estimates of vaccine hesitancy in Bangkok and 608 priority groups were tracked over time. Frequently cited hesitancy reasons and trusted information sources were identified according to the 608 group and degree of hesitancy. Kendall tau was used to test statistical associations between vaccine acceptance and vaccine hesitancy.

resultsThe Bangkok UMD-CTIS respondents had similar demographics over weekly samples and compared to the Bangkok source population. Respondents self-reported fewer pre-existing health conditions compared to census data overall but had a similar prevalence of the important COVID-19 risk factor diabetes. UMD-CTIS vaccine uptake rose in parallel with national vaccination statistics, while vaccine hesitancy and degree of hesitancy declined (-7% hesitant per week). Concerns about vaccination side effects (2334/3883, 60.1%) and wanting to wait and see (2410/3883, 62.1%) were selected most frequently, while "not liking vaccines" (281/3883, 7.2%) and "religious objections" (52/3883, 1.3%) were selected least frequently. Greater vaccine acceptance was associated positively with wanting to "wait and see" and negatively with "don't believe I need (the vaccine)" (Kendall tau 0.21 and -0.22, respectively; adjusted P<.001). Scientists and health experts were most frequently cited as trusted COVID-19 information sources (13,600/14,033, 96.9%), even among vaccine hesitant respondents.

conclusionsOur findings provide policy and health experts with evidence that vaccine hesitancy was declining over the study timeframe. Hesitancy and trust analyses among the unvaccinated support Bangkok policy measures to address vaccine safety and efficacy concerns through health experts rather than government or religious officials. Large-scale surveys enabled by existing widespread digital networks offer an insightful minimal-infrastructure resource for informing region-specific health policy needs.

Indexed as

COVID-19COVID-19 VaccinesAgedCross-Sectional StudiesHumansMiddle AgedThailandVaccinationCOVID-19 VaccinesCOVID-19COVID-19 vaccinesepidemiologyhealth policypandemicpublic healthsocial mediasurveyThailandvaccine hesitancyvaccines

Identifiers

PMID36811852
PMCPMC10141306
OpenAlexW4321513053

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.