COVID-19: towards controlling of a pandemic
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The COVID-19 pandemic has increased people's mental health expressions on social media.
“The observations reflected that the COVID-19 pandemic has increased people’s mental health expressions on social media, aligning with other contemporary literature and media reports [8,53].”
From Psychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on Social Media (2020) · cites this paper as [53]
Symptomatic expressions of anxiety, depression, stress, and suicidal ideation are critical mental health concerns and have been attributed to be consequences of the pandemic outbreak.
“We examined symptomatic expressions of anxiety, depression, stress, and suicidal ideation. These are not only some of the most critical mental health concerns but also have been attributed to be consequences of the pandemic outbreak [15,53,54].”
From Psychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on Social Media (2020) · cites this paper as [53]
Published literature posits that distress and anxiety among individuals in the COVID-19 pandemic may increase the incidence of mental disorders.
“The published literature posits that the distress and anxiety among individuals in this COVID-19 pandemic may increase the incidence of mental disorders [53,54,99]”
From Psychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on Social Media (2020) · cites this paper as [53]
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Cites
Wu, Z., & McGoogan, J. M. (2020) · JAMA · doi:10.1001/jama.2020.2648 · Cited by 17,016 · see citing works
SARS-CoV-2 Viral Load in Upper Respiratory Specimens of Infected Patients
Zou, L., Ruan, F., Huang, M.-X., Liang, L.-J., Huang, H., Hong, Z.-S., Yu, J.-X., Kang, M., Song, Y.-C., Xia, J., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmc2001737 · Cited by 4,590 · see citing works
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., Jänke, C., Guggemos, W., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmc2001468 · Cited by 4,143 · see citing works
Report of the WHO-China Joint Mission on Coronavirus Disease 2019 (COVID-19)
Gomes, C. A. (2020) · LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) · Cited by 2,226 · see citing works
Hospital-Wide SARS-CoV-2 Antibody Screening in 3056 Staff in a Tertiary Center in Belgium
Steensels, D., Oris, E., Coninx, L., Nuyens, D., Delforge, M., Vermeersch, P., & Heylen, L. (2020) · JAMA · doi:10.1001/jama.2020.11160 · Cited by 315 · see citing works
Viral Load Kinetics of SARS-CoV-2 Infection in First Two Patients in Korea
Kim, J. Y., Ko, J., Kim, Y., Kim, Y., Kim, J., Chung, Y., Kim, H. M., Han, M. G., Kim, S. Y., & Chin, B. S. (2020) · Journal of Korean Medical Science · doi:10.3346/jkms.2020.35.e86 · Cited by 262 · see citing works
Covid-19 Pandemic: Emerging Perspectives and Future Trends
Tabish, S. A. (2020) · Journal of Public Health Research · doi:10.4081/jphr.2020.1786 · Cited by 103 · see citing works
Modeling Nigerian Covid-19 cases: A comparative analysis of models and estimators
Ayinde, K., Lukman, A. F., Rauf, R. I., et al. (2020) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2020.109911 · Cited by 66 · see citing works
Assessing functional propagation patterns in COVID-19
Zanin, M., & Papo, D. (2020) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2020.109993 · Cited by 14 · see citing works
Temgoua, M. N., Kuate, L. M., Ngatchou, W., et al. (2020) · Pan African Medical Journal · doi:10.11604/pamj.2020.35.2.22947 · Cited by 8 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [2]WHO WHO Virtual press conference on COVID-19 https://www.who.int/docs/default-source/coronaviruse/transcripts/who-audio-emergencies-coronavirus-press-conference-full-and-final-11mar2020.pdf?sfvrsn=cb432bb3_2 March 11, 2020
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Sahu, P. (2020) · Cureus · doi:10.7759/cureus.7541 · Cited by 2,353 · see citing works
Single-Cell RNA Expression Profiling of ACE2, the Receptor of SARS-CoV-2
Zhao, Y., Zhao, Z., Wang, Y., Zhou, Y., Ma, Y., & Zuo, W. (2020) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.202001-0179le · Cited by 916 · see citing works
Single-cell multi-omics analysis of the immune response in COVID-19
Cambridge Institute of Therapeutic Immunology and Infectious Disease-National Institute of Health Research (CITIID-NIHR) COVID-19 BioResource Collaboration, Stephenson, E., Reynolds, G., Botting, R. A., Calero-Nieto, F. J., Morgan, M. D., Tuong, Z. K., Bach, K., Sungnak, W., Worlock, K. B., et al. (2021) · Nature Medicine · doi:10.1038/s41591-021-01329-2 · Cited by 742 · see citing works
Why inequality could spread COVID-19
Ahmed, F., Ahmed, N., Pissarides, C., & Stiglitz, J. (2020) · The Lancet Public Health · doi:10.1016/s2468-2667(20)30085-2 · Cited by 788 · see citing works
Gordon, M., Patricio, M., Horne, L., Muston, A., Alston, S. R., Pammi, M., Thammasitboon, S., Park, S., Pawlikowska, T., Rees, E. L., et al. (2020) · Medical Teacher · doi:10.1080/0142159x.2020.1807484 · Cited by 297 · see citing works
Bouabida, K., Lebouché, B., & Pomey, M.-P. (2022) · Healthcare · doi:10.3390/healthcare10112293 · Cited by 179 · see citing works
“Due to the absence of proper vaccines and treatments in the early stages of the pandemic, approaches such as lockdown, quarantine, and physical distancing were implemented to slow down the spread and reduce the impact of the disease [1,2].”
BackgroundPsychosocial Effects of the COVID-19 Pandemic: Large-scale Quasi-Experimental Study on Social Media
Saha, K., Torous, J., Caine, E. D., & De Choudhury, M. (2020) · Journal of Medical Internet Research · doi:10.2196/22600 · Cited by 166 · see citing works
Microstructure, pathophysiology, and potential therapeutics of COVID‐19: A comprehensive review
Singh, S. P., Pritam, M., Pandey, B., & Yadav, T. P. (2021) · Journal of Medical Virology · doi:10.1002/jmv.26254 · Cited by 166 · see citing works
Ioannou, A., & Tussyadiah, I. (2021) · Technology in Society · doi:10.1016/j.techsoc.2021.101774 · Cited by 71 · see citing works
A Unique Presentation of Delirium in a Patient with Otherwise Asymptomatic <scp>COVID</scp> ‐19
Alkeridy, W. A., Almaghlouth, I., Alrashed, R., Alayed, K., Binkhamis, K., Alsharidi, A., & Liu‐Ambrose, T. (2020) · Journal of the American Geriatrics Society · doi:10.1111/jgs.16536 · Cited by 70 · see citing works
Wang, D., Zhao, J., Zhai, S., Huang, S., Yang, Z., Pan, Y., Liu, X., & Fan, F. (2022) · Journal of Psychosomatic Research · doi:10.1016/j.jpsychores.2022.110795 · Cited by 56 · see citing works
Unmasking the COVID-19 pandemic prevention gains: excess mortality reversal in 2022
Walkowiak, M. P., Domaradzki, J., & Walkowiak, D. (2023) · Public Health · doi:10.1016/j.puhe.2023.08.004 · Cited by 28 · see citing works
Poli (2020) · PubMed · doi:10.36131/cn20200216 · Cited by 24 · see citing works
Gao, D., Xiang, Q., Lu, G., Tong, J., Jiang, W., Yu, X., Wang, R., Lv, Z., & Li, D. (2022) · BMC Psychology · doi:10.1186/s40359-022-00934-1 · Cited by 17 · see citing works
Ibrahim, F., Ibrahim, M. M., & Jamalivand, S. (2025) · THE NEW ARMENIAN MEDICAL JOURNAL · doi:10.56936/18290825-2.v19.2025-18 · Cited by 1 · see citing works
- Authors
- Bedford, J., Enria, D., Giesecke, J., Heymann, D. L., Ihekweazu, C., Kobinger, G., Lane, H. C., Memish, Z., Oh, M.-D., Sall, A. A., Schuchat, A., Ungchusak, K., & Wieler, L. H.
- Affiliations
- Anthrologica (GB)
- Karolinska Institutet (SE)
- London School of Hygiene & Tropical Medicine (GB)
- Nigeria Centre for Disease Control (NG)
- Université Laval (CA)
- National Institute of Allergy and Infectious Diseases (US)
- King Saud Medical City (SA)
- Seoul National University (KR)
- Institut Pasteur de Dakar (SN)
- Centers for Disease Control and Prevention (US)
- Department of Disease Control (TH)
- Robert Koch Institute (DE)
- Corresponding author
- Heymann, David L
- ORCID
- Venue
- The Lancet
- Publisher
- Elsevier BV
- Published
- 2020-03
- Volume
- 395
- Issue
- 10229
- Pages
- 1015-1018
- ISSN
- 0099-5355 (ISSN-L)
- 0140-6736
- PMC
- PMC7270596
- OpenAlex
- W3010698037
- Cited by
- 1,545
- References
- 10
- Citations by year
- 2026: 13 · 2025: 25 · 2024: 80 · 2023: 154 · 2022: 250 · 2021: 471 · 2020: 549 · 2013: 2
- FWCI
- 56.64
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Lancet (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- Topics
- Physical Sciences › Mathematics › Modeling and Simulation › COVID-19 epidemiological studies
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Social Sciences › Sociology and Political Science › COVID-19 Prevention and Impact
- Keywords
- COVID-19 pandemic, pandemic, epidemic control, SARS-CoV-2, global spread, international health response, WHO declaration
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Age Factors, Aneurysm, Infected, Civil Defense, Developing Countries, Financial Support, Humans, Patient Isolation, Pneumonia, Viral, Population Surveillance, Quarantine, World Health Organization, Comorbidity, Contact Tracing, Coronavirus Infections, Risk Assessment, Pandemics
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