Evidence map›Paper›PMID 34284218›Full record

ArticlePublic health2021

Knowledge and awareness of COVID-19 among Indonesian migrant workers in the Greater China Region.

A Liem, C Wang, C Dong, A I F Lam, C A Latkin, B J Hall

Open access · greenAbstract read
In one paragraph

Article in Public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

15 citing papers in PubMed, 40 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. The Perception of Nurses about Migrants after the COVID-19 Pandemic: Close Contact Improves the Relationship.International journal of environmental research and public health · 2023
    Article
  8. Article
  9. Article
  10. Article
  11. Understanding Health Information Behaviors of Migrant Domestic Workers during the COVID-19 Pandemic.International journal of environmental research and public health · 2022
    Article
  12. Article
  13. COVID-19 Study on Scientific Articles in Health Communication: A Science Mapping Analysis in Web of Science.International journal of environmental research and public health · 2022
    Review
  14. Review
  15. 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

6 authors at 3 institutions in 3 countries.

A LiemGlobal and Community Mental Health Research Group, Department of Communication, University of Macau, Macao (SAR), China. Electronic address: andrian.liem@uq.net.au.
C WangDermatology Hospital of Southern Medical University, Guangzhou, China; Southern Medical University Institute for Global Health and Sexually Transmitted Diseases, Guangzhou, China. Electronic address: wangcheng090705@gmail.com.
C DongDepartment of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore Maryland, USA. Electronic address: cdong6@jhu.edu.
A I F LamDepartment of Communication, University of Macau, Macao (SAR), China. Electronic address: agneslam@um.edu.mo.
C A LatkinDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA. Electronic address: carl.latkin@jhu.edu.
B J HallDepartment of Health, Behavior and Society, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA; New York University (Shanghai), Shanghai, PR China. Electronic address: brianhall@nyu.edu.
Johns Hopkins University · USUniversity of Macau · MOSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesMigrant workers are one of the most vulnerable population groups during the coronavirus disease 2019 (COVID-19) pandemic. This study investigated knowledge and awareness of COVID-19 among Indonesian migrant workers (IMWs) in Macao (SAR), Hong Kong (SAR), and Taiwan. STUDY

designThis was a cross-sectional study.

methodsData were collected through an online survey in February and March 2020 to gain information on (1) participants' sociodemographic characteristics, (2) experience and awareness regarding COVID-19 information, and (3) knowledge and understanding of COVID-19. A series of Chi-squared, t-test, and logistic regression analyses were conducted.

resultsThe survey was completed by 491 participants (92.1% female). Knowledge of COVID-19 was obtained from multiple sources, including a large proportion from online social media. However, participants who obtained information from their employer, local social networks, and migrant organisations answered a greater number of questions correctly. One-third of participants reported receiving hoax, fake news, and incorrect information and obtained information from unverified sources. Participants were most interested in information about how to cure COVID-19, and 57.8% knew that no specific drug or vaccine was currently available. Almost all participants correctly identified fever and wearing a facemask as the main COVID-19 symptom and prevention strategy, respectively. Participants with senior high school or higher education and who worked as domestic or care workers had a greater knowledge of COVID-19 than their counterparts.

conclusionsPublic health communication strategies using multiple channels, including employers and community organisations, would help to minimise COVID-19 knowledge gaps. In addition, it is recommended that digital literacy content is added to public health campaigns.

Indexed as

COVID-19Transients and MigrantsChinaCross-Sectional StudiesFemaleHumansIndonesiaMaleSARS-CoV-2Surveys and QuestionnairesHealth communicationHealth educationInfodemicLabour workerMigrant health

Identifiers

PMID34284218
PMCPMC8196328
OpenAlexW3171180971

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.