The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Social Reaction Toward the 2019 Novel Coronavirus (COVID-19)
Open accessAbstract
With the number of people infected by the 2019 novel coronavirus (COVID-19), which is rapidly increasing worldwide,[1] public anxieties and worries are elevated in many regions. As the COVID-19 outbreak is ongoing, a wave of fear and worry in the society has arisen. Following this wave of fear and worry, several communities seem to develop a new by-product of discrimination, that is, mutual discrimination within the Asian/Chinese societies. For example, people who reside in Taiwan are afraid of interaction with those living in Hong Kong; people in Hong Kong avoid interaction with China mainlanders; and people from southeastern or southern region of Asia are afraid of contacts with Chinese ethnic people. More recently, people in Hong Kong and Taiwan feel scared when interacting with Koreans and Japanese due to their recent community outbreak.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Maunder, R., Hunter, J., Vincent, L. H., Bennett, J. P., Peladeau, N., Leszcz, M., Sadavoy, J., Verhaeghe, L. M., Steinberg, R. J., & Mazzulli, T. (2003) · Europe PMC (PubMed Central) · Cited by 1,495
Tang, B., Wang, X., Li, Q., Bragazzi, N. L., Tang, S., Xiao, Y., & Wu, J. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9020462 · Cited by 1,368
Fear and Stigma: The Epidemic within the SARS Outbreak
Person, B., Sy, F., Holton, K., Govert, B., Liang, A., the, N. C. I. D., SARS Community Outreach Team (listed in alphabetical order), Garza, B., Gould, D., Hickson, M., et al. (2004) · Emerging Infectious Diseases · doi:10.3201/eid1002.030750 · Cited by 790
Communicating the Risk of Death from Novel Coronavirus Disease (COVID-19)
Kobayashi, T., Jung, S.-M., Linton, N. M., Kinoshita, R., Hayashi, K., Miyama, T., Anzai, A., Yang, Y., Yuan, B., Akhmetzhanov, A. R., et al. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9020580 · Cited by 181
Tavoschi, L., Quattrone, F., D’Andrea, E., Ducange, P., Vabanesi, M., Marcelloni, F., & Lopalco, P. L. (2020) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2020.1714311 · Cited by 137
Research works printed but not linked: 1
- Cheung, 2015, An outbreak of fear rumours and stigma: Psychosocial support for the Ebola virus disease outbreak in West Africa, Intervention, 13, 45
Cited by
The Fear of COVID-19 Scale: Development and Initial Validation
Ahorsu, D. K., Lin, C.-Y., Imani, V., Saffari, M., Griffiths, M. D., & Pakpour, A. H. (2022) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-020-00270-8 · Cited by 4,332
Self-citationSatici, B., Gocet-Tekin, E., Deniz, M. E., & Satici, S. A. (2021) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-020-00294-0 · Cited by 922
Raza, S. A., Qazi, W., Khan, K. A., & Salam, J. (2021) · Journal of Educational Computing Research · doi:10.1177/0735633120960421 · Cited by 510
Validation and Psychometric Evaluation of the Italian Version of the Fear of COVID-19 Scale
Soraci, P., Ferrari, A., Abbiati, F. A., Del Fante, E., De Pace, R., Urso, A., & Griffiths, M. D. (2022) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-020-00277-1 · Cited by 427
“…with individuals who may have been infected has been reported in the context of COVID-19 (Centers for Disease Control and Prevention 2020a, b; Lin 2020), a new psychometric assessment tool assessing an individual’s fear of COVID-19 was recently developed, i.e., the Fear of COVID-19 Scale…”
Sakib, N., Bhuiyan, A. K. M. I., Hossain, S., Al Mamun, F., Hosen, I., Abdullah, A. H., Sarker, M. A., Mohiuddin, M. S., Rayhan, I., Hossain, M., et al. (2022) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-020-00289-x · Cited by 414
Metadata
- Authors
- Lin, C.-Y.
- Venue
- Asian Journal of Social Health and Behavior
- Published
- 2020-01
- Volume
- 3
- Issue
- 1
- Pages
- 1-2
- ISSN
- 2589-9767 (ISSN-L)
- 2772-4204
- OpenAlex
- W3010729260
- Cited by
- 561
- References
- 5
- FWCI
- 170.87
- Type
- journal article
- Language
- en
- Open access
- diamond
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Social Reaction Toward the 2019 Novel Coronavirus (COVID-19). https://app.cochat.ai/papers/10.4103/shb.shb_11_20
- The paper
- Lin, C.-Y. (2020). Social Reaction Toward the 2019 Novel Coronavirus (COVID-19). Asian Journal of Social Health and Behavior. https://doi.org/10.4103/shb.shb_11_20
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
