The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
A brief review of socio-economic and environmental impact of Covid-19
Open accessAbstract
In recent months, Covid-19 has caused significant global social and economic distress. Governments and health officials around the world have introduced mandatory preventive measures to combat Covid-19, i.e., hand sanitizers, gloves, and masks, which have contributed to large quantities of medical wastes. Social distancing and mandatory lockdown have also been put in place to protect people from Covid-19. This epidemic has caused severe demographic changes and unemployment, and economic activities have been shut down to save human lives. Transportation and travel industries are most severely hit as global tourism has fallen to almost zero in recent months; as a solution, economic institutes have introduced stimulus packages worth more than $6 trillion. However, restricted economic activities have also contributed towards a cleaner environment. However, environmental changes are not permanent, and the pollution level may rise again in the future. As a result, current research suggests that policymakers must introduce stringent environmental policies to promote clean energy.
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
A pneumonia outbreak associated with a new coronavirus of probable bat origin
Zhou, P., Yang, X.-L., Wang, X.-G., Hu, B., Zhang, L., Zhang, W., Si, H.-R., Zhu, Y., Li, B., Huang, C.-L., et al. (2020) · Nature · doi:10.1038/s41586-020-2012-7 · Cited by 21,969
Wang, D., Hu, B., Hu, C., Zhu, F., Liu, X., Zhang, J., Wang, B., Xiang, H., Cheng, Z., Xiong, Y., et al. (2020) · JAMA · doi:10.1001/jama.2020.1585 · Cited by 20,148
La certeza de lo impredecible: Cultura Educación y Sociedad en tiempos de COVID19
Martínez González, M. (2020) · DSPACE System - Metalibrary (University of the Coast) · Cited by 18,463
Pathological findings of COVID-19 associated with acute respiratory distress syndrome
Xu, Z., Shi, L., Wang, Y., Zhang, J., Huang, L., Zhang, C., Liu, S., Zhao, P., Liu, H., Zhu, L., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30076-x · Cited by 8,545
The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak
Rothan, H. A., & Byrareddy, S. N. (2020) · Journal of Autoimmunity · doi:10.1016/j.jaut.2020.102433 · Cited by 5,840
The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak
Chinazzi, M., Davis, J. T., Ajelli, M., Gioannini, C., Litvinova, M., Merler, S., Pastore y Piontti, A., Mu, K., Rossi, L., Sun, K., et al. (2020) · Science · doi:10.1126/science.aba9757 · Cited by 3,694
How will country-based mitigation measures influence the course of the COVID-19 epidemic?
Anderson, R. M., Heesterbeek, H., Klinkenberg, D., & Hollingsworth, T. D. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30567-5 · Cited by 3,648
COVID-19 and the cardiovascular system
Zheng, Y.-Y., Ma, Y.-T., Zhang, J.-Y., & Xie, X. (2020) · Nature Reviews Cardiology · doi:10.1038/s41569-020-0360-5 · Cited by 2,970
Early dynamics of transmission and control of COVID-19: a mathematical modelling study
Kucharski, A. J., Russell, T. W., Diamond, C., Liu, Y., Edmunds, J., Funk, S., Eggo, R. M., Sun, F., Jit, M., Munday, J. D., et al. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30144-4 · Cited by 2,671
Feasibility of controlling COVID-19 outbreaks by isolation of cases and contacts
Hellewell, J., Abbott, S., Gimma, A., Bosse, N. I., Jarvis, C. I., Russell, T. W., Munday, J. D., Kucharski, A. J., Edmunds, W. J., Sun, F., et al. (2020) · The Lancet Global Health · doi:10.1016/s2214-109x(20)30074-7 · Cited by 2,550
Metadata
- Authors
- Bashir, M. F., MA, B., & Shahzad, L.
- Venue
- Air Quality, Atmosphere & Health
- Published
- 2020-08-01
- Volume
- 13
- Issue
- 12
- Pages
- 1403-1409
- ISSN
- 1873-9318 (ISSN-L)
- 1873-9326
- OpenAlex
- W3046266055
- Cited by
- 269
- References
- 35
- FWCI
- 21.00
- 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: A brief review of socio-economic and environmental impact of Covid-19. https://app.cochat.ai/papers/10.1007/s11869-020-00894-8
- The paper
- Bashir, M. F., MA, B., & Shahzad, L. (2020). A brief review of socio-economic and environmental impact of Covid-19. Air Quality, Atmosphere & Health. https://doi.org/10.1007/s11869-020-00894-8
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.