Cited by 1,958COVID-19 and Mental HealthCommunication and COVID-19 ImpactCOVID-19 Prevention and Impact

Psychosocial impact of COVID-19

Open access
Dubey, Souvik, Biswas, Payel, Ghosh, Ritwik, Chatterjee, Subhankar, Dubey, Mahua Jana, Chatterjee, Subham, Lahiri, Durjoy, Lavie, Carl J.·2020·Diabetes & Metabolic Syndrome: Clinical Research & Reviews

Abstract

Background Along with its high infectivity and fatality rates, the 2019 Corona Virus Disease (COVID-19) has caused universal psychosocial impact by causing mass hysteria, economic burden and financial losses. Mass fear of COVID-19, termed as "coronaphobia", has generated a plethora of psychiatric manifestations across the different strata of the society. So, this review has been undertaken to define psychosocial impact of COVID-19.Methods Pubmed and GoogleScholar are searched with the following key terms- "COVID-19", "SARS-CoV2", "Pandemic", "Psychology", "Psychosocial", "Psychitry", "marginalized", "telemedicine", "mental health", "quarantine", "infodemic", "social media" and" "internet". Few news paper reports related to COVID-19 and psychosocial impacts have also been added as per context.Results Disease itself multiplied by forced quarantine to combat COVID-19 applied by nationwide lockdowns can produce acute panic, anxiety, obsessive behaviors, hoarding, paranoia, and depression, and post-traumatic stress disorder (PTSD) in the long run. These have been fueled by an "infodemic" spread via different platforms of social media. Outbursts of racism, stigmatization, and xenophobia against particular communities are also being widely reported. Nevertheless, frontline healthcare workers are at higher-risk of contracting the disease as well as experiencing adverse psychological outcomes in form of burnout, anxiety, fear of transmitting infection, feeling of incompatibility, depression, increased substance-dependence, and PTSD. Community-based mitigation programs to combat COVID-19 will disrupt children's usual lifestyle and may cause florid mental distress. The psychosocial aspects of older people, their caregivers, psychiatric patients and marginalized communities are affected by this pandemic in different ways and need special attention.Conclusion For better dealing with these psychosocial issues of different strata of the society, psychosocial crisis prevention and intervention models should be urgently developed by the government, health care personnel and other stakeholders. Apt application of internet services, technology and social media to curb both pandemic and infodemic needs to be instigated. Psychosocial preparedness by setting up mental organizations specific for future pandemics is certainly necessary.

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 · 10.1016/j.dsx.2020.05.035

Cites

95 of 95 references verified0 citation errors · 0 not checkable

Statistics

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

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • During the pandemic, heightened levels of anxiety, fears, and depression have also been observed amongst healthy community-dwelling adults.

    “During the pandemic, heightened levels of anxiety, fears, and depression have also been observed amongst healthy community-dwelling adults as well [10].”

    From The Psychosocial Impact of COVID-19 on Older Adults with Cancer: A Rapid Review (2022) · cites this paper as [10]

    The General public section reports anxiety, depressive symptoms, worry, and increased negative emotions during the pandemic. It describes general-population surveys, however, without establishing that respondents were healthy community-dwelling adults; that qualifier is not supported by our copy (page not specified). (LLM, conf=0.85)

    Experimental — accuracy not yet measured
  • Physical exercise is considered an important intervention to counteract both the physical and psychosocial impacts amongst both older adults with cancer and those without.

    “It is noteworthy to mention that physical exercise is considered an important intervention to counteract both the physical and psychosocial impacts amongst both older adults with cancer and those without [10].”

    From The Psychosocial Impact of COVID-19 on Older Adults with Cancer: A Rapid Review (2022) · cites this paper as [10]

    The “Old age” section says indoor physical exercise might help maintain physical health and counteract psychological impacts for older adults during COVID-19. It does not specifically address older adults with cancer, and it presents exercise as a potential therapy rather than an established intervention. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • Recent reviews suggest that COVID-19 has created considerable anxiety, irritability, feelings of paranoia, and depression amongst community-dwelling older adults and people with serious comorbidities.

    “Recent reviews suggest that COVID-19 has created considerable anxiety, irritability, feelings of paranoia, and depression amongst community-dwelling older adults and people with serious comorbidities [10].”

    From The Psychosocial Impact of COVID-19 on Older Adults with Cancer: A Rapid Review (2022) · cites this paper as [10]

    The “Old age” section (page not provided) says COVID-19 can create fear, anxiety, and irritability among older adults and mentions the vulnerability of people with serious comorbidities. The abstract lists paranoia and depression as possible effects more generally, but does not attribute those effects specifically to community-dwelling older adults or people with comorbidities. (LLM, conf=0.88)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 7

  1. [45]Sim K. Chua H.C. The psychological impact of SARS: a matter of heart and mind CMAJ 170 2004 811 812 14993176 PMC343855
  2. [47]Wu P. Fang Y. Guan Z. Fan B. Kong J. Yao Z. The psychological impact of the SARS epidemic on hospital employees in China: exposure, risk perception, and altruistic acceptance of risk Can J Psychiatr 54 2009 302 311 PMC3780353 19497162
  3. [48]Liu X. Kakade M. Fuller C.J. Fan B. Fang Y. Kong J. Depression after exposure to stressful events: lessons learned from the severe acute respiratory syndrome epidemic Compr Psychiatr 53 2012 15 23 PMC3176950 21489421
  4. [68]Committee on the Science of Children Birth to Age 8: Deepening and Broadening the Foundation for Success; Board on Children Youth, and families; institute of medicine; national research council Allen L.R. Kelly B.B. Transforming the workforce for children birth through age 8: a unifying foundation 2015 Jul 23 National Academies Press (US) Washington (DC) 4, Child Development and Early Learning https://www.ncbi.nlm.nih.gov/books/NBK310550/ Available from: 26269871
  5. [95]Sen A. The idea of justice 2009 Belknap Press of Harvard University Press Cambridge, Mass
  6. [99]Qiu J. Shen B. Zhao M. Wang Z. Xie B. Xu Y. A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: implications and policy recommendations Gen Psychiatr 33 2020 e100213 PMC7061893 32215365
  7. [117]Qiu J. Shen B. Zhao M. Wang Z. Xie B. Xu Y. A nationwide survey of psychological distress among Chinese people in the COVID-19 epidemic: implications and policy recommendations Gen Psychiatr 33 2020 e100213 PMC7061893 32215365

Cited by

Sorted by citations

Authors
Dubey, S., Biswas, P., Ghosh, R., Chatterjee, S., Dubey, M. J., Chatterjee, S., Lahiri, D., & Lavie, C. J.
Affiliations
  • Bangur Institute of Neurosciences (IN)
  • Burdwan Medical College & Hospital (IN)
  • Rajendra Institute of Medical Sciences (IN)
  • R. G. Kar Medical College and Hospital (IN)
  • Ochsner Health System (US)
Corresponding author
Dubey, Souvik
Venue
Diabetes & Metabolic Syndrome: Clinical Research & Reviews
Publisher
Elsevier BV
Published
2020-09
Volume
14
Issue
5
Pages
779-788
ISSN
1871-4021 (ISSN-L)
OpenAlex
W3031309865
Cited by
1,958
References
95
Citations by year
2026: 41 · 2025: 88 · 2024: 189 · 2023: 320 · 2022: 518 · 2021: 621 · 2020: 181
FWCI
32.22
Type
journal article
Language
en
Open access
Locations
  • Diabetes & Metabolic Syndrome Clinical Research & Reviews (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Social Sciences › Psychology › Clinical Psychology › COVID-19 and Mental Health
  • Social Sciences › Communication › Communication and COVID-19 Impact
  • Social Sciences › Sociology and Political Science › COVID-19 Prevention and Impact
Keywords
COVID-19 pandemic, psychosocial impact, fear of COVID-19, quarantine, lockdown, anxiety, depression, post-traumatic stress disorder, infodemic, social media, racism and xenophobia, stigma, frontline health workers, burnout, substance use, child mental health, older adults, caregivers, psychiatric patients, marginalized communities, telemedicine
MeSH terms
Betacoronavirus, COVID-19, SARS-CoV-2, Anxiety, Health Personnel, Humans, Mental Health, Pneumonia, Viral, Psychiatry, Socioeconomic Factors, Telemedicine, Coronavirus Infections, Pandemics, Social Marginalization

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