Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 830

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Knowledge, Perceptions, and Attitude of Egyptians Towards the Novel Coronavirus Disease (COVID-19)

Open access
Abdelhafiz, Ahmed Samir, Mohammed, Zeinab, Ibrahim, Maha Emad, Ziady, Hany H., Alorabi, Mohamed, Ayyad, Mohamed, Sultan, Eman A.·2020·Journal of Community Health

Abstract

Coronavirus disease 2019 (COVID-19) has been recognized as a pandemic by the World Health Organization. Global efforts have been exerted to prevent the spreading of the disease through political decisions together with personal behaviors, which depend on awareness of the public. The goal of this study is to assess the knowledge, perceptions and attitude of the Egyptian public towards the COVID-19 disease. We conducted a cross-sectional survey about these points, which was distributed among adult Egyptians. Five hundred and fifty nine persons completed the survey. The mean knowledge score was 16.39 out of 23, gained mainly though social media (66.9%), and the internet (58.3%). Knowledge was significantly lower among older, less educated, lower income participants, and rural residents. Most participants (86.9%) were concerned about the risk of infection. While 37.6% thought that their salary will be continued if they become isolated, 68.5% believed that it should be continued during this period. About 73.0% were looking forward to get the vaccine when available. In general, participants had a good knowledge about the disease and a positive attitude towards protective measures. This knowledge is gained mainly through novel media channels, which have pros and cons. Although the government has taken major steps to educate the public and limit the spread of the disease, more effort is needed to educate and support the lower economic strata. If a vaccine or a treatment is approved, we recommend a government control over its use to preserve the rights of the vulnerable and needy groups.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1007/s10900-020-00827-7

Cites

19 of 19 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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

1 retracted

Show all 19 references

Cited by

See all 830

Metadata

Authors
Abdelhafiz, A. S., Mohammed, Z., Ibrahim, M. E., Ziady, H. H., Alorabi, M., Ayyad, M., & Sultan, E. A.
Venue
Journal of Community Health
Published
2020-04-21
Volume
45
Issue
5
Pages
881-890
ISSN
  • 0094-5145 (ISSN-L)
  • 1573-3610
OpenAlex
W3016426103
Cited by
830
References
19
FWCI
252.84
Type
journal article
Language
en
Open access
bronze

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: Knowledge, Perceptions, and Attitude of Egyptians Towards the Novel Coronavirus Disease (COVID-19). https://app.cochat.ai/papers/10.1007/s10900-020-00827-7
The paper
Abdelhafiz, A. S., Mohammed, Z., Ibrahim, M. E., Ziady, H. H., Alorabi, M., Ayyad, M., & Sultan, E. A. (2020). Knowledge, Perceptions, and Attitude of Egyptians Towards the Novel Coronavirus Disease (COVID-19). Journal of Community Health. https://doi.org/10.1007/s10900-020-00827-7

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.