ArticleHuman vaccines & immunotherapeutics2022
The influencing factors of discrimination against recovered Coronavirus disease 2019 (COVID-19) patients in China: a national study.
Article in Human vaccines & immunotherapeutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed.
- "It becomes more difficult when people don't empathize with us": COVID-19-related stigmatization experienced by survivors in Nepal.PloS one · 2026Article
- Psychometric Characteristics of the Chinese Version of the Tuberculosis Related-Stigma Scale in a Population of Medical Students and Its Correlation with Selected Demographic Characteristics.Risk management and healthcare policy · 2024Article
- Fighting stigma and discrimination against COVID-19 in China.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2023Article
- Factors associated with COVID-19 stigma during the onset of the global pandemic in India: A cross-sectional study.Frontiers in public health · 2022Article
- Will COVID-19 Vaccinations End Discrimination against COVID-19 Patients in China? New Evidence on Recovered COVID-19 Patients.Vaccines · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundOver 26 million recovered COVID-19 patients will suffer from discrimination in work, education and social interactions. We analyzed the determinants of discrimination against recovered COVID-19 patients and suggest policy recommendations to reduce such discrimination.
methodsTwenty-seven Chinese cities were selected randomly based on their geographical location and GDP rank. One hundred adults were interviewed in each city with an equal number of men and women and three urban residents for every two rural residents. A multiple ordered logistic regression model was used to assess the associations between potential determinants and the COVID-19 discrimination level.
resultsOf 2377 participants, 79.76% displayed discrimination toward recovered COVID-19 patients. The female discrimination level was 1.25 times that of males; the discrimination level increased with age; and was occupation-specific, with physicians' (OR = 0.352) and students' (OR = 0.553) discrimination level lower than that of farmers. The discrimination level of participants from the central regions was 1.828 times, and the eastern region 1.504 times, that of participants from western region. The participants' discrimination level was lower when they scored higher in transmission knowledge, prevention knowledge and other COVID-19 knowledge, treatment methods and quarantine time.
conclusionSex, age, occupation, infections of relatives and friends, regions and scores on COVID-19 knowledge were determinants of discrimination level against recovered COVID-19 patients. In contrast with qualitative studies, our quantitative study recommends targeted education campaigns, focusing on physicians, women, older people and certain occupations. Only the COVID-19 vaccination program for the whole population will resolve the COVID-19 discrimination problem.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.