The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.
COVID-19 pandemic: Lessons learned and future directions
Open accessAbstract
Emerging pandemics show that humans are not infallible and communities need to be prepared. Coronavirus outbreak was first reported towards the end of 2019 and has now been declared a pandemic by the World Health Organization. Worldwide countries are responding differently to the virus outbreak. A delay in detection and response has been recorded in China, as well as in other major countries, which led to an overburdening of the local health systems. On the other hand, some other nations have put in place effective strategies to contain the infection and have recorded a very low number of cases since the beginning of the pandemics. Restrictive measures like social distancing, lockdown, case detection, isolation, contact tracing, and quarantine of exposed had revealed the most efficient actions to control the disease spreading. This review will help the readers to understand the difference in response by different countries and their outcomes. Based on the experience of these countries, India responded to the pandemic accordingly. Only time will tell how well India has faced the outbreak. We also suggest the future directions that the global community should take to manage and mitigate the emergency.
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
Correspondence - Tranexamic acid for traumatic brain injury
(2005) · London School of Economics and Political Science Theses Online (London School of Economics and Political Science) · doi:10.1016/s0140-6736 · Cited by 11,894
Aerosol and surface stability of SARS-CoV-2 as compared with SARS-CoV-1
van Doremalen, N., Bushmaker, T., Morris, D. H., Holbrook, M. G., Gamble, A., Williamson, B. N., Tamin, A., Harcourt, J. L., Thornburg, N. J., Gerber, S. I., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmc2004973 · Cited by 9,951
A novel coronavirus outbreak of global health concern
Wang, C., Horby, P. W., Hayden, F. G., & Gao, G. F. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30185-9 · Cited by 7,700
Qiu, J., Shen, B., Zhao, M., Wang, Z., Xie, B., & Xu, Y. (2020) · General Psychiatry · doi:10.1136/gpsych-2020-100213 · Cited by 4,307
Transmission of 2019-nCoV Infection from an Asymptomatic Contact in Germany
Rothe, C., Schunk, M., Sothmann, P., Bretzel, G., Froeschl, G., Wallrauch, C., Zimmer, T., Thiel, V., Janke, C., Guggemos, W., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmc2001468 · Cited by 4,144
Persistence of coronaviruses on inanimate surfaces and their inactivation with biocidal agents.
Kampf, G., Todt, D., Pfaender, S., & Steinmann, E. (2020) · Journal of Hospital Infection · doi:10.1016/j.jhin.2020.01.022 · Cited by 3,796
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
Fair Allocation of Scarce Medical Resources in the Time of Covid-19
Emanuel, E. J., Persad, G., Upshur, R., Thome, B., Parker, M., Glickman, A., Zhang, C., Boyle, C., Smith, M., & Phillips, J. P. (2020) · New England Journal of Medicine · doi:10.1056/nejmsb2005114 · Cited by 3,137
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
Cited by
Jodczyk, A. M., Kasiak, P. S., Adamczyk, N., Gębarowska, J., Sikora, Z., Gruba, G., Mamcarz, A., & Śliż, D. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19031261 · Cited by 42
Metadata
- Authors
- Khanna, R., Cicinelli, M., Gilbert, S., Honavar, S., & Murthy, G. V.
- Venue
- Indian Journal of Ophthalmology
- Publisher
- Medknow
- Published
- 2020
- Volume
- 68
- Issue
- 5
- Pages
- 703
- ISSN
- 0301-4738 (ISSN-L)
- OpenAlex
- W3016924381
- Cited by
- 361
- References
- 42
- FWCI
- 11.51
- 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: COVID-19 pandemic: Lessons learned and future directions. https://app.cochat.ai/papers/10.4103/ijo.ijo_843_20
- The paper
- Khanna, R., Cicinelli, M., Gilbert, S., Honavar, S., & Murthy, G. V. (2020). COVID-19 pandemic: Lessons learned and future directions. Indian Journal of Ophthalmology. https://doi.org/10.4103/ijo.ijo_843_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.