Fear-Responses to Bat-Originating Coronavirus Pandemics with Respect to Quarantines Gauged in Relation to Postmodern Thought—Implications and Recommendations
Abstract
:1. Introduction
2. Fear-Responses in Humans
3. Comparing Human Coronaviruses with SARS and COVID-19
3.1. Human Coronaviruses
3.2. SARS
3.3. COVID-19
4. Postmodern Thought, Large Datasets and Media
4.1. Response to SARS by Media, Media Consumers, and by Healthcare Providers
- widespread
- increasing
- otherwise unexplained
- serious
- not easy to treat or reverse
- greater than the economic, social and health costs
- a cause of known health, economic or social harms
4.2. Response to COVID-19 by Media, Media Consumers, and by Healthcare Providers
5. Implications Related to Cognitive Bias
5.1. Psychological Implications
5.2. Societal Implications
6. Recommendations
Limitations
7. Conclusions
Funding
Acknowledgments
Conflicts of Interest
References
- de Wit, E.; van Doremalen, N.; Falzarano, D.; Munster, V.J. SARS and MERS: Recent insights into emerging coronaviruses. Nat. Rev. Microbiol. 2016, 14, 523–534. [Google Scholar] [CrossRef] [PubMed]
- Sheikhi, K.; Shirzadfar, H.; Sheikhi, M. A review on novel coronavirus (Covid-19): Symptoms, transmission and diagnosis tests. Res. Infect. Dis. Trop. Med. 2020, 2, 1–8. [Google Scholar] [CrossRef]
- Ruiz-Aravena, M.; McKee, C.; Gamble, A.; Lunn, T.; Morris, A.; Snedden, C.E.; Yinda, C.K.; Port, J.R.; Buchholz, D.W.; Yeo, Y.Y.; et al. Ecology, evolution and spillover of coronaviruses from bats. Nat. Rev. Microbiol. 2022, 20, 299–314. [Google Scholar] [CrossRef] [PubMed]
- Ul-Rahman, A.; Shabbir, M.A.B.; Aziz, M.W.; Yaqub, S.; Mehmood, A.; Raza, M.A.; Shabbir, M.Z. A comparative phylogenomic analysis of SARS-CoV-2 strains reported from non-human mammalian species and environmental samples. Mol. Biol. Rep. 2020, 47, 9207–9217. [Google Scholar] [CrossRef]
- Youde, J. MERS and global health governance. Int. J. 2015, 70, 119–136. [Google Scholar] [CrossRef]
- Liu, Q.; Xu, K.; Wang, X.; Wang, W. From SARS to COVID-19: What lessons have we learned? J. Infect. Pub. Health 2020, 13, 1611–1618. [Google Scholar] [CrossRef]
- Shi, Q.; Dorling, D.; Cao, G.; Liu, T. Changes in population movement make COVID-19 spread differently from SARS. Soc. Sci. Med. 2020, 255, 113036. [Google Scholar] [CrossRef]
- Chan, M.S.; Winneg, K.; Hawkins, L.; Farhadloo, M.; Jamieson, K.H.; Albarracín, D. Legacy and social media respectively influence risk perceptions and protective behaviors during emerging health threats: A multi-wave analysis of communications on Zika virus cases. Soc. Sci. Med. 2018, 212, 50–59. [Google Scholar] [CrossRef]
- Bruns, D.P.; Kraguljac, N.V.; Bruns, T.R. COVID-19: Facts, Cultural Considerations, and Risk of Stigmatization. J. Transcult. Nurs. 2020, 31, 326–332. [Google Scholar] [CrossRef]
- Cinelli, M.; Quattrociocchi, W.; Galeazzi, A.; Valensise, C.M.; Brugnoli, E.; Schmidt, A.L.; Zola, P.; Zollo, F.; Scala, A. The COVID-19 social media infodemic. Sci. Rep. 2020, 10, 16598. [Google Scholar] [CrossRef]
- Sohrabi, C.; Alsafi, Z.; O’neill, N.; Khan, M.; Kerwan, A.; Al-Jabir, A.; Iosifidis, C.; Agha, R. World Health Organization declares global emergency: A review of the 2019 novel coronavirus (COVID-19). Int. J. Surg. 2020, 76, 71–76. [Google Scholar] [CrossRef]
- Mheidly, N.; Fares, J. Leveraging media and health communication strategies to overcome the COVID-19 infodemic. J. Public Health Pol. 2020, 41, 410–420. [Google Scholar] [CrossRef]
- Davoudi, S. The Legacy of Positivism and the Emergence of Interpretive Tradition in Spatial Planning. Reg. Stud. 2012, 46, 429–441. [Google Scholar] [CrossRef]
- Lock, G.; Molyneaux, B.L. Introduction: Confronting Scale. In Confronting Scale in Archaeology; Springer: Boston, MA, USA, 2006; pp. 1–11. [Google Scholar] [CrossRef]
- Yıldırım, M.; Arslan, G.; Özaslan, A. Perceived Risk and Mental Health Problems among Healthcare Professionals during COVID-19 Pandemic: Exploring the Mediating Effects of Resilience and Coronavirus Fear. Int. J. Ment. Health Addict. 2022, 20, 1035–1045. [Google Scholar] [CrossRef]
- Brooks, S.K.; Webster, R.K.; Smith, L.E.; Woodland, L.; Wessely, S.; Greenberg, N.; Rubin, G.J. The psychological impact of quarantine and how to reduce it: Rapid review of the evidence. Lancet 2020, 395, 912–920. [Google Scholar] [CrossRef]
- Cava, M.A.; Fay, K.E.; Beanlands, H.J.; McCay, E.A.; Wignall, R. The Experience of Quarantine for Individuals Affected by SARS in Toronto. Pub. Health Nurs. 2005, 22, 398–406. [Google Scholar] [CrossRef]
- Okhrimenko, I.; Lyhun, N. Stress Prevention and Management during the Quarantine. Brain 2021, 11, 157–164. [Google Scholar] [CrossRef]
- Banerjee, D.; Sathyanarayana Rao, T.S.; Kallivayalil, R.A.; Javed, A. Psychosocial Framework of Resilience: Navigating Needs and Adversities during the Pandemic, A Qualitative Exploration in the Indian Frontline Physicians. Front. Psychol. 2021, 12, 622132. [Google Scholar] [CrossRef]
- Irwin, R.E. Misinformation and de-contextualization: International media reporting on Sweden and COVID-19. Glob. Health 2020, 16, 62. [Google Scholar] [CrossRef]
- Davis, M.; Walker, D.L.; Miles, L.A.; Grillon, C. Toward an operational definition of fear vs. anxiety: The role of the extended amygdala in phasic vs. sustained fear. Neurosci. Res. 2009, 65, S21. [Google Scholar] [CrossRef]
- Price-Smith, A.T. Epidemic of Fear: SARS and the Political Economy of Contagion in the Pacific Rim. In Contagion and Chaos; The MIT Press: Cambridge, MA, USA, 2008. [Google Scholar] [CrossRef]
- Singer, P.A.; Benatar, S.R.; Bernstein, M.; Daar, A.S.; Dickens, B.M.; MacRae, S.K.; Upshur, R.E.; Wright, L.; Shaul, R.Z. Ethics and SARS: Lessons from Toronto. BMJ 2003, 327, 1342–1344. [Google Scholar] [CrossRef]
- Howe, A.; Smajdor, A.; Stöckl, A. Towards an understanding of resilience and its relevance to medical training. Med. Educ. 2012, 46, 349–356. [Google Scholar] [CrossRef]
- El Ouni, N.; Mtiraoui, A.; Kalboussi, H.; Maatoug, J.; Braham, A.; Mrizek, N. Healthcare Workers Facing COVID-19: The More Exposed, the Less Stressed. Am. J. Appl. Psychol. 2021, 10, 128–135. [Google Scholar] [CrossRef]
- Hanson, C.; Luedtke, S.; Spicer, N.; Stilhoff Sörensen, J.; Mayhew, S.; Mounier-Jack, S. National health governance, science and the media: Drivers of COVID-19 responses in Germany, Sweden and the UK in 2020. BMJ Glob. Health 2021, 6, e006691. [Google Scholar] [CrossRef]
- Koçak, O.; Koçak, Ö.E.; Younis, M.Z. The Psychological Consequences of COVID-19 Fear and the Moderator Effects of Individuals’ Underlying Illness and Witnessing Infected Friends and Family. Int. J. Environ. Res. Public Health 2021, 18, 1836. [Google Scholar] [CrossRef]
- Sim, S. Postmodernism and philosophy. In The Routledge Companion to Postmodernism, 3rd ed.; Sim, S., Ed.; Routledge: London, UK, 2011; pp. 3–14. Available online: https://books.scholarsportal.info/uri/ebooks/ebooks4/taylorandfrancis4/2018-06-06/8/9781136698330 (accessed on 21 September 2022).
- Mauthner, N.S. Toward a Posthumanist Ethics of Qualitative Research in a Big Data Era. Am. Behav. Sci. 2019, 63, 669–698. [Google Scholar] [CrossRef]
- Halpern, S.D.; Truog, R.D.; Miller, F.G. Cognitive bias and public health policy during the COVID-19 pandemic. JAMA 2020, 324, 337–338. [Google Scholar] [CrossRef] [PubMed]
- Berkowitz, R.L.; Coplan, J.D.; Reddy, D.P.; Gorman, J.M. The human dimension: How the prefrontal cortex modulates the subcortical fear response. Rev. Neurosci. 2007, 18, 191–208. [Google Scholar] [CrossRef]
- Soeter, M.; Kindt, M. Dissociating response systems: Erasing fear from memory. Neurobiol. Learn. Mem. 2010, 94, 30–41. [Google Scholar] [CrossRef]
- Ohman, A. The role of the amygdala in human fear: Automatic detection of threat. Psychoneuroendocrinology 2005, 30, 953–958. [Google Scholar] [CrossRef]
- Sn, Y.; Qian, L.; Xu, L.; Hunt, S.; Sah, P. Somatostatin neurons in the central amygdala mediate anxiety by disinhibition of the central sublenticular extended amygdala. Mol. Psychiatry 2020, 1–12. [Google Scholar] [CrossRef] [PubMed]
- Marek, R.; Jin, J.; Goode, T.D.; Giustino, T.F.; Wang, Q.; Acca, G.M.; Holehonnur, R.; Ploski, J.E.; Fitzgerald, P.J.; Lynagh, T.; et al. Hippocampus-driven feed-forward inhibition of the prefrontal cortex mediates relapse of extinguished fear. Nat. Neurosci. 2018, 21, 384–392. [Google Scholar] [CrossRef] [PubMed]
- Sloan, E.; Moulding, R.; Weiner, C.; Dowling, R.M.; Hall, K. A qualitative examination of the relationship between rumination, distress, and dysregulated behaviours in vulnerable young people. Psychol. Psychother. Theory Res. Pract. 2021, 94, 322–340. [Google Scholar] [CrossRef] [PubMed]
- Taylor, S.; Landry, C.A.; Paluszek, M.M.; Rachor, G.S.; Asmundson, G.J. Worry, avoidance, and coping during the COVID-19 pandemic: A comprehensive network analysis. J. Anxiety Dis. 2020, 76, 102327. [Google Scholar] [CrossRef]
- Kircanski, K.; Thompson, R.J.; Sorenson, J.; Sherdell, L.; Gotlib, I.H. The everyday dynamics of rumination and worry: Precipitant events and affective consequences. Cogn. Emot. 2018, 32, 1424–1436. [Google Scholar] [CrossRef] [PubMed]
- Nash, C. Enhancing Hopeful Resilience Regarding Depression and Anxiety with a Narrative Method of Ordering Memory Effective in Researchers Experiencing Burnout. Challenges 2022, 13, 28. [Google Scholar] [CrossRef]
- Tsien, J.Z.; Li, M.; Osan, R.; Chen, G.; Lin, L.; Wang, P.L.; Frey, S.; Frey, J.; Zhu, D.; Liu, T.; et al. On initial Brain Activity Mapping of episodic and semantic memory code in the hippocampus. Neurobiol. Learn. Mem. 2013, 105, 200–210. [Google Scholar] [CrossRef] [PubMed]
- Sangha, S.; Diehl, M.M.; Bergstrom, H.C.; Drew, M.R. Know safety, no fear. Neurosci. Biobehav. Rev. 2020, 108, 218–230. [Google Scholar] [CrossRef] [PubMed]
- Richter, A.; Krämer, B.; Diekhof, E.K.; Gruber, O. Resilience to adversity is associated with increased activity and connectivity in the VTA and hippocampus. NeuroImage Clin. 2019, 23, 101920. [Google Scholar] [CrossRef]
- Cohen, G.L.; Sherman, D.K. The psychology of change: Self-affirmation and social psychological intervention. Ann. Rev. Psychol. 2014, 65, 333–371. [Google Scholar] [CrossRef] [PubMed]
- Andrewes, D.G.; Jenkins, L.M. The Role of the Amygdala and the Ventromedial Prefrontal Cortex in Emotional Regulation: Implications for Post-traumatic Stress Disorder. Neuropsychol. Rev. 2019, 29, 220–243. [Google Scholar] [CrossRef] [PubMed]
- Dixon, M.L.; Dweck, C.S. The amygdala and the prefrontal cortex: The co-construction of intelligent decision-making. Psychol. Rev. 2021. [Google Scholar] [CrossRef] [PubMed]
- Fanti, K.A.; Konikou, K.; Cohn, M.; Popma, A.; Brazil, I.A. Amygdala functioning during threat acquisition and extinction differentiates antisocial subtypes. J. Neuropsychol. 2020, 14, 226–241. [Google Scholar] [CrossRef] [PubMed]
- Soroya, S.H.; Farooq, A.; Mahmood, K.; Isoaho, J.; Zara, S.E. From information seeking to information avoidance: Understanding the health information behavior during a global health crisis. Inform. Process. Manag. 2021, 58, 102440. [Google Scholar] [CrossRef] [PubMed]
- Guan, Y.; Zheng, B.J.; Butt, K.M.; Wong, K.L.; Chan, K.W.; Lim, W.; Shortridge, K.F.; Yuen, K.Y.; Feiris, J.S.M.; Poon, L.L.M.; et al. Isolation and Characterization of Viruses Related to the SARS Coronavirus from Animals in Southern China. Science 2003, 302, 276–278. [Google Scholar] [CrossRef]
- Boechat, J.L.; Chora, I.; Morais, A.; Delgado, L. The immune response to SARS-CoV-2 and COVID-19 immunopathology—Current perspectives. Pulmon 2021, 27, 423–437. [Google Scholar] [CrossRef]
- Singla, R.; Mishra, A.; Joshi, R.; Jha, S.; Sharma, A.R.; Upadhyay, S.; Sarma, P.; Prakash, A.; Medhi, B. Human animal interface of SARS-CoV-2 (COVID-19) transmission: A critical appraisal of scientific evidence. Vet. Res. Commun. 2020, 44, 119–130. [Google Scholar] [CrossRef]
- Dhama, K.; Khan, S.; Tiwari, R.; Sircar, S.; Bhat, S.; Singh Malik, Y.; Singh, K.P.; Chaicumpa, W.; Bonilla-Aldana, D.K.; Rodriguez-Morales, A.J. Coronavirus Disease 2019—COVID-19. Clin. Microbio. Rev. 2020, 33, e00028-20. [Google Scholar] [CrossRef]
- Desforges, M.; Le Coupanec, A.; Dubeau, P.; Bourgouin, A.; Lajoie, L.; Dubé, M.; Talbot, P.J. Human Coronaviruses and Other Respiratory Viruses: Underestimated Opportunistic Pathogens of the Central Nervous System? Viruses 2020, 12, 14. [Google Scholar] [CrossRef]
- Tyrrell, D.A.; Bynoe, M.L. Cultivation of viruses from a high proportion of patients with colds. Lancet 1966, 1, 76–77. [Google Scholar] [CrossRef]
- Kahn, J.S.; McIntosh, K. History and Recent Advances in Coronavirus Discovery. Pediatr. Infect. Dis. J. 2005, 24, S223–S227. [Google Scholar] [CrossRef] [PubMed]
- Lum, L.H.W.; Tambyah, P.A. Outbreak of COVID-19—An urgent need for good science to silence our fears? Singap. Med. J. 2020, 61, 55–57. [Google Scholar] [CrossRef] [PubMed]
- Callow, K.A.; Parry, H.F.; Sergeant, M.; Tyrrell, D.A. The time course of the immune response to experimental coronavirus infection of man. Epidemiol. Infect. 1990, 105, 435–446. [Google Scholar] [CrossRef] [PubMed]
- Paules, C.I.; Marston, H.D.; Fauci, A.S. Coronavirus infections—More than just the common cold. JAMA 2020, 323, 707–708. [Google Scholar] [CrossRef]
- Abdul-Rasool, S.; Fielding, B.C. Understanding Human Coronavirus HCoV-NL63. Open Virol. J. 2010, 4, 76–84. [Google Scholar] [CrossRef]
- Hicks, L.A.; Shepard, C.W.; Britz, P.H.; Erdman, D.D.; Fischer, M.; Flannery, B.L.; Peck, A.J.; Lu, X.; Thacker, W.L.; Benson, R.F.; et al. Two Outbreaks of Severe Respiratory Disease in Nursing Homes Associated with Rhinovirus. J. Am. Geriatr. Soc. 2006, 54, 284–289. [Google Scholar] [CrossRef]
- Comas-Herrera, A.; Zalakaín, J.; Lemmon, E.; Henderson, D.; Litwin, C.; Hsu, A.T.; Schmidt, A.E.; Arling, G.; Kruse, F.; Fernández, J.L. Mortality Associated with COVID-19 in Care Homes: International Evidence. Available online: https://ltccovid.org/wp-content/uploads/2021/02/LTC_COVID_19_international_report_January-1-February-1-2.pdf (accessed on 4 August 2022).
- Katz, P.R. An international perspective on long term care: Focus on nursing homes. J. Am. Med. Dir. Assoc. 2011, 12, 487–492. [Google Scholar] [CrossRef]
- Ioannidis, J.P.A. Over and under-estimation of COVID-19 deaths. Eur. J. Epidemiol. 2021, 36, 581–588. [Google Scholar] [CrossRef]
- Xu, R.H.; He, J.F.; Evans, M.R.; Peng, G.W.; Field, H.E.; Yu, D.W.; Lee, C.K.; Luo, H.M.; Lin, W.S.; Lin, P.; et al. Epidemiologic clues to SARS origin in China. Emerg. Infect. Dis. 2004, 10, 1030–1037. [Google Scholar] [CrossRef]
- World Health Organization. Severe Acute Respiratory Syndrome (SARS). WHO 2022. Available online: https://www.who.int/health-topics/severe-acute-respiratory-syndrome#tab=tab_1 (accessed on 4 July 2022).
- World Health Organization. Consensus Document on the Epidemiology of Severe Acute Respiratory Syndrome (SARS). WHO 2003. Available online: https://www.who.int/publications/i/item/consensus-document-on-the-epidemiology-of-severe-acute-respiratory-syndrome-(-sars) (accessed on 19 August 2022).
- Hui, D.S.C.; Wong, P.C.; Wang, C. SARS: Clinical features and diagnosis. Respirology 2003, 8, S20–S24. [Google Scholar] [CrossRef]
- Christensen, T.; Ma, L. Comparing SARS and COVID-19: Challenges of Governance Capacity and Legitimacy. Public Organ. Rev. 2021, 21, 629–645. [Google Scholar] [CrossRef]
- Maunder, R. The experience of the 2003 SARS outbreak as a traumatic stress among frontline healthcare workers in Toronto: Lessons learned. Philos. Trans. R. Soc. B Biol. Sci. 2004, 359, 1117–1125. [Google Scholar] [CrossRef] [PubMed]
- Cherry, J.D.; Krogstad, P. SARS: The first pandemic of the 21st century. Pediatr. Res. 2004, 56, 1–5. [Google Scholar] [CrossRef]
- Mackenzie, J.S.; Drury, P.; Ellis, A.; Grein, T.; Leitmeyer, K.C.; Mardel, S.; Merianos, A.; Olowokure, B.; Roth, C.; Slattery, R.; et al. The WHO Response to SARS and Preparations for the Future. In Learning from SARS: Preparing for the Next Disease Outbreak: Workshop Summary; Knobler, S., Mahmoud, A., Lemon, S., Mack, A., Sivitz, L., Oberholtzer, K., Eds.; National Academies Press: Washington, DC, USA, 2004; pp. 42–50. Available online: https://www.ncbi.nlm.nih.gov/books/NBK92476/ (accessed on 6 July 2022).
- McDonald, L.C.; Simor, A.E.; Su, I.J.; Maloney, S.; Ofner, M.; Chen, K.T.; Lando, J.F.; McGeer, A.; Lee, M.L.; Jernigan, D.B. SARS in healthcare facilities, Toronto and Taiwan. Emerg. Infect. Dis. 2004, 10, 777–781. [Google Scholar] [CrossRef] [PubMed]
- Masood, N.; Malik, S.S.; Raja, M.N.; Mubarik, S.; Yu, C. Unraveling the epidemiology, geographical distribution, and genomic evolution of potentially lethal coronaviruses (SARS, MERS, and SARS CoV-2). Front. Cell. Infect. Microbiol. 2020, 10, 499. [Google Scholar] [CrossRef]
- Heymann, D.L.; Rodier, G. SARS: A Global Response to an International Threat. Brown J. World Aff. 2004, 10, 185–197. Available online: https://heinonline.org/HOL/Page?handle=hein.journals/brownjwa10&id=473&collection=journals&index= (accessed on 7 July 2022).
- Tai, D.Y. SARS plague: Duty of care or medical heroism? Ann. Acad. Med. Singap. 2006, 35, 374. Available online: http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.451.9233&rep=rep1&type=pdf (accessed on 7 July 2022).
- Hsin, D.H.-C.; Macer, D.R.J. Heroes of SARS: Professional roles and ethics of health care workers. J. Infect. 2004, 49, 210–215. [Google Scholar] [CrossRef]
- Syed, Q.; Sopwith, W.; Regan, M.; Bellis, M.A. Behind the mask. Journey through an epidemic: Some observations of contrasting public health responses to SARS. J. Epidemiol. Commun. Health 2003, 57, 855–856. [Google Scholar] [CrossRef]
- Brookes, T.; Khan, O.A. Behind the mask: How the world survived SARS, the first epidemic of the 21st century. Emerg. Infect. Dis. 2005, 11, 1990. [Google Scholar] [CrossRef]
- Leung, G.M.; Lam, T.-H.; Ho, L.-M.; Ho, S.-Y.; Chan, B.H.Y.; Wong, I.O.L.; Hedley, A.J. The impact of community psychological responses on outbreak control for severe acute respiratory syndrome in Hong Kong. J. Epidemiol. Commun. Health 2003, 57, 857–863. [Google Scholar] [CrossRef] [PubMed]
- Ma, R. Media, Crisis, and SARS: An Introduction. Asian J. Commun. 2005, 15, 241–246. [Google Scholar] [CrossRef]
- Emanuel, E.J. The lessons of SARS. Ann. Intern. Med. 2003, 139, 589–591. [Google Scholar] [CrossRef] [PubMed]
- Krawczyk, K.; Chelkowski, T.; Laydon, D.J.; Mishra, S.; Xifara, D.; Gibert, B.; Flaxman, S.; Mellan, T.; Schwämmle, V.; Röttger, R.; et al. Quantifying Online News Media Coverage of the COVID-19 Pandemic: Text Mining Study and Resource. J. Med. Internet Res. 2021, 23, e28253. [Google Scholar] [CrossRef]
- Cunningham, E.; Smyth, B.; Greene, D. Collaboration in the time of COVID: A scientometric analysis of multidisciplinary SARS-CoV-2 research. Humanit. Soc. Sci. Commun. 2021, 8, 240. [Google Scholar] [CrossRef]
- Kharroubi, S.; Saleh, F. Are Lockdown Measures Effective against COVID-19? Front. Public Health 2020, 8, 549692. [Google Scholar] [CrossRef] [PubMed]
- Giovanetti, M.; Benvenuto, D.; Angeletti, S.; Ciccozzi, M. The first two cases of 2019-nCoV in Italy: Where they come from? J. Med. Virol. 2020, 92, 518–521. [Google Scholar] [CrossRef] [PubMed]
- Pavone, P.; Ceccarelli, M.; Taibi, R.; La Rocca, G.; Nunnari, G. Outbreak of COVID-19 infection in children: Fear and serenity. Eur. Rev. Med. Pharmacol. Sci. 2020, 24, 4572–4575. Available online: https://www.researchgate.net/profile/Manuela-Ceccarelli-2/publication/341216463_Outbreak_of_COVID-19_infection_in_children_Fear_and_serenity/links/5eba321c92851cd50dab5c7d/Outbreak-of-COVID-19-infection-in-children-Fear-and-serenity.pdf (accessed on 14 July 2022). [PubMed]
- Mei, C. Policy style, consistency and the effectiveness of the policy mix in China’s fight against COVID-19. Policy Soc. 2020, 39, 309–325. [Google Scholar] [CrossRef] [PubMed]
- Burki, T. Journey to Wuhan during its lockdown. Lancet Infect. Dis. 2021, 21, 613. [Google Scholar] [CrossRef]
- Qi, F.; Hu, L. Including people with disability in the COVID-19 outbreak emergency preparedness and response in China. Disabil. Soc. 2020, 35, 848–853. [Google Scholar] [CrossRef]
- Ahmed, M.Z.; Ahmed, O.; Aibao, Z.; Hanbin, S.; Siyu, L.; Ahmad, A. Epidemic of COVID-19 in China and associated Psychological Problems. Asian J. Psychiatry 2020, 51, 102092. [Google Scholar] [CrossRef]
- World Health Organization. Timeline: WHO’s COVID-19 Response; WHO: Geneva, Switzerland, 2022; Available online: https://www.who.int/emergencies/diseases/novel-coronavirus-2019/interactive-timeline# (accessed on 4 July 2022).
- Cuello-Garcia, C.; Pérez-Gaxiola, G.; van Amelsvoort, L. Social media can have an impact on how we manage and investigate the COVID-19 pandemic. J. Clin. Epidemol. 2020, 127, 198–201. [Google Scholar] [CrossRef]
- Hsieh, Y.H.; King, C.C.; Chen, C.W.; Ho, M.S.; Lee, J.Y.; Liu, F.C.; Wu, Y.C.; JulianWu, J.-S. Quarantine for SARS, Taiwan. Emerg. Infect. Dis. 2005, 11, 278–282. [Google Scholar] [CrossRef]
- Schabas, R. Severe acute respiratory syndrome: Did quarantine help? Can. J. Infect. Dis. Med. Microbiol. 2004, 15, 204. [Google Scholar] [CrossRef]
- COVID-19 Dashboard by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University (JHU). Available online: https://coronavirus.jhu.edu/map.html (accessed on 16 September 2022).
- Guazzini, A.; Fiorenza, M.; Panerai, G.; Duradoni, M. What Went Wrong? Predictors of Contact Tracing Adoption in Italy during COVID-19 Pandemic. Future Internet 2021, 13, 286. [Google Scholar] [CrossRef]
- Geers, D.; Shamier, M.C.; Bogers, S.; den Hartog, G.; Gommers, L.; Nieuwkoop, N.N.; Schmitz, K.S.; Rijsbergen, L.C.; van Osch, J.A.T.; Dijkhuizen, E.; et al. SARS-CoV-2 variants of concern partially escape humoral but not T cell responses in COVID-19 convalescent donors and vaccine recipients. Sci. Immunol. 2021, 6, eabj1750. [Google Scholar] [CrossRef] [PubMed]
- Ferwana, I.; Varshney, L.R. Social capital dimensions are differentially associated with COVID-19 vaccinations, masks, and physical distancing. PLoS ONE 2021, 16, e0260818. [Google Scholar] [CrossRef]
- Kuter, B.J.; Offit, P.A.; Poland, G.A. The development of COVID-19 vaccines in the United States: Why and how so fast? Vaccine 2021, 39, 2491–2495. [Google Scholar] [CrossRef] [PubMed]
- Oraby, T.; Tyshenko, M.G.; Maldonado, J.C.; Vatcheva, K.; Elsaadany, S.; Alali, W.Q.; Longenecker, J.C.; Al-Zoughool, M. Modeling the effect of lockdown timing as a COVID-19 control measure in countries with differing social contacts. Sci. Rep. 2021, 11, 3354. [Google Scholar] [CrossRef]
- Alfano, V.; Ercolano, S. The Efficacy of Lockdown against COVID-19: A Cross-Country Panel Analysis. Appl. Health Econ. Health Policy 2020, 18, 509–517. [Google Scholar] [CrossRef]
- Duradoni, M.; Fiorenza, M.; Guazzini, A. When Italians Follow the Rules against COVID Infection: A Psychological Profile for Compliance. COVID 2021, 1, 246–262. [Google Scholar] [CrossRef]
- Gozzi, N.; Bajardi, P.; Perra, N. The importance of non-pharmaceutical interventions during the COVID-19 vaccine rollout. PLoS Comput. Biol. 2021, 17, e1009346. [Google Scholar] [CrossRef]
- Gotlib, J.; Sobierajski, T.; Jaworski, M.; Wawrzuta, D.; Borowiak, E.; Dobrowolska, B.; Dyk, D.; Gaworska-Krzemińska, A.; Grochans, E.; Kózka, M.; et al. “Vaccinate, Do Not Hesitate!”. Vaccination Readiness against COVID-19 among Polish Nursing Undergraduate Students: A National Cross-Sectional Survey. Vaccines 2021, 9, 1029. [Google Scholar] [CrossRef] [PubMed]
- Duradoni, M.; Veloso, M.V.; La Gamma, M.; Monciatti, A.M.; Guazzini, A. Italian version of the Vaccination Fear Scale (VFS-6): Internal and external validation. Med. J. Clin. Psychol. 2022, 10. [Google Scholar]
- Maged, A.; Ahmed, A.; Haridy, S.; Baker, A.W.; Xie, M. SEIR Model to Address the Impact of Face Masks Amid COVID-19 Pandemic. Risk Anal. 2022, 1–15. [Google Scholar] [CrossRef]
- Haug, N.; Geyrhofer, L.; Londei, A.; Dervic, E.; Desvars-Larrive, A.; Loreto, V.; Pinior, B.; Thurner, S.; Klimek, P. Ranking the effectiveness of worldwide COVID-19 government interventions. Nat. Hum. Behav. 2020, 4, 1303–1312. [Google Scholar] [CrossRef] [PubMed]
- Rahman, M.Z.; Hoque, M.E.; Alam, M.R.; Rouf, M.A.; Khan, S.I.; Xu, H.; Ramakrishna, S. Face Masks to Combat Coronavirus (COVID-19)—Processing, Roles, Requirements, Efficacy, Risk and Sustainability. Polymers 2022, 14, 1296. [Google Scholar] [CrossRef]
- Daria, S.; Islam, M.R. The SARS-CoV-2 omicron wave is indicating the end of the pandemic phase but the COVID-19 will continue. J. Med. Virol. 2022, 94, 2343. [Google Scholar] [CrossRef] [PubMed]
- Hu, Y.; Subagdja, B.; Tan, A.H.; Quek, C.; Yin, Q. Who are the ‘silent spreaders’? Contact tracing in spatio-temporal memory models. Neural Comput. Appl. 2022, 34, 14859–14879. [Google Scholar] [CrossRef] [PubMed]
- Mohapatra, R.K.; Sarangi, A.K.; Kandi, V.; Azam, M.; Tiwari, R.; Dhama, K. Omicron (B. 1.1. 529 variant of SARS-CoV-2); an emerging threat: Current global scenario. J. Med. Virol. 2022, 94, 1780–1783. [Google Scholar] [CrossRef] [PubMed]
- Campi, G.; Bianconi, A. Periodic recurrent waves of Covid-19 epidemics and vaccination campaign. Chaos Solitons Fractals 2022, 160, 112216. [Google Scholar] [CrossRef] [PubMed]
- Ellaway, R.H. Postmodernism and Medical Education. Acad. Med. 2020, 95, 856–859. [Google Scholar] [CrossRef]
- Rycroft-Malone, J.; Seers, K.; Titchen, A.; Harvey, G.; Kitson, A.; McCormack, B. What counts as evidence in evidence-based practice? J. Adv. Nurs. 2004, 47, 81–90. [Google Scholar] [CrossRef]
- Morris, D.B. Illness and Culture in the Postmodern Age; University of California Press: Berkeley, CA, USA, 1998. [Google Scholar] [CrossRef]
- Törnberg, P.; Törnberg, A. The limits of computation: A philosophical critique of contemporary Big Data research. Big Data Soc. 2018, 5, 2053951718811843. [Google Scholar] [CrossRef]
- Denzin, N.K. Postmodern Social Theory. Sociol. Theory 1986, 4, 194–204. [Google Scholar] [CrossRef]
- Ahmed, N.; Shahbaz, T.; Shamim, A.; Khan, K.S.; Hussain, S.M.; Usman, A. The COVID-19 Infodemic: A Quantitative Analysis Through Facebook. Cureus 2020, 12, e11346. [Google Scholar] [CrossRef]
- Xue, J.; Chen, J.; Hu, R.; Chen, C.; Zheng, C.; Su, Y.; Zhu, T. Twitter Discussions and Emotions about the COVID-19 Pandemic: Machine Learning Approach. J. Med. Internet Res. 2020, 22, e20550. [Google Scholar] [CrossRef]
- Amanatidis, D.; Mylona, I.; Kamenidou, I.; Mamalis, S.; Stavrianea, A. Mining Textual and Imagery Instagram Data during the COVID-19 Pandemic. Appl. Sci. 2021, 11, 4281. [Google Scholar] [CrossRef]
- Blomberg, T.G.; Cohen, S. Punishment and Social Control, 2nd ed.; Routledge: New York, NY, USA, 2017. [Google Scholar] [CrossRef]
- Sheets, P.; Rowling, C.M.; Gilmore, J.; Melcher, N. Us and them: The role of group identity in explaining cultural resonance and framing effects. Mass Commun. Soc. 2022, 1–23. [Google Scholar] [CrossRef]
- Glenn, B.J. Postmodernism: The Basis of Insurance. Risk Manag. Insur. Rev. 2003, 6, 131–143. [Google Scholar] [CrossRef]
- Dzhurova, A. Symbolic politics and government response to a national emergency: Narrating the COVID-19 crisis. Adm. Theory Prax. 2020, 42, 571–587. [Google Scholar] [CrossRef]
- Boisot, M.; Mckelvey, B. Integrating Modernist and Postmodernist Perspectives on Organizations: A Complexity Science Bridge. Acad. Manag. Rev. 2010, 35, 415–433. [Google Scholar] [CrossRef]
- Cooper, R.; Burrell, G. Modernism, Postmodernism and Organizational Analysis: An Introduction. Organ. Stud. 1988, 9, 91–112. [Google Scholar] [CrossRef]
- Stepchenkova, S.; Park, H. Authenticity orientation as an attitude: Scale construction and validation. Tour. Manag. 2021, 83, 104249. [Google Scholar] [CrossRef]
- Berry, T.R.; Wharf-Higgins, J.; Naylor, P.J. SARS Wars: An Examination of the Quantity and Construction of Health Information in the News Media. Health Commun. 2007, 21, 35–44. [Google Scholar] [CrossRef]
- Lewison, G. The reporting of the risks from severe acute respiratory syndrome (SARS) in the news media, 2003–2004. Health Risk Soc. 2008, 10, 241–262. [Google Scholar] [CrossRef]
- Lawson, J.; Xu, F. SARS in Canada and China: Two approaches to emergency health policy. Governance 2007, 20, 209–232. [Google Scholar] [CrossRef]
- Hawryluck, L.; Gold, W.L.; Robinson, S.; Pogorski, S.; Galea, S.; Styra, R. SARS control and psychological effects of quarantine, Toronto, Canada. Emerg. Infect. Dis. 2004, 10, 1206. [Google Scholar] [CrossRef]
- Wallis, P.; Nerlich, B. Disease metaphors in new epidemics: The UK media framing of the 2003 SARS epidemic. Soc. Sci. Med. 2005, 60, 2629–2639. [Google Scholar] [CrossRef]
- Kamming, D.; Gardam, M.; Chung, F.I. Anaesthesia and SARS. Br. J. Anaesth. 2003, 90, 715–718. [Google Scholar] [CrossRef] [PubMed]
- Bergeron, S.L.; Sanchez, A.L. Media effects on students during SARS outbreak. Emerg. Infect. Dis. 2005, 11, 732–734. [Google Scholar] [CrossRef]
- Rezza, G.; Marino, R.; Farchi, F.; Taranto, M. SARS epidemic in the press. Emerg. Infect. Dis. 2004, 10, 381–382. [Google Scholar] [CrossRef] [PubMed]
- Tai, Z.; Sun, T. The rumouring of SARS during the 2003 epidemic in China. Sociol. Health Illn. 2011, 33, 677–693. [Google Scholar] [CrossRef]
- MacKenzie, L.E. Science podcasts: Analysis of global production and output from 2004 to 2018. R. Soc. Open Sci. 2019, 6, 180932. [Google Scholar] [CrossRef] [PubMed]
- Brügger, N. A brief history of Facebook as a media text: The development of an empty structure. First Monday 2015, 20. [Google Scholar] [CrossRef]
- Java, A.; Song, X.; Finin, T.; Tseng, B. Why we twitter: Understanding microblogging usage and communities. In Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 Workshop on Web Mining and Social Network analysis, New York, NY, USA, 12 October 2007. [Google Scholar] [CrossRef]
- Hochman, N.; Manovich, L. Zooming into an Instagram City: Reading the local through social media. First Monday 2013, 18. [Google Scholar] [CrossRef]
- Montag, C.; Becker, B.; Gan, C. The multipurpose application WeChat: A review on recent research. Front. Psychol. 2018, 9, 2247. [Google Scholar] [CrossRef]
- Robinson, B. Governance on, with, behind, and beyond the Discord platform: A study of platform practices in an informal learning context. Learn. Media Technol. 2022, 1–4. [Google Scholar] [CrossRef]
- Islam, N.; Want, R. Smartphones: Past, Present, and Future. IEEE Pervasive Comput. 2014, 13, 89–92. [Google Scholar] [CrossRef]
- Heymann, D.L. The international response to the outbreak of SARS in 2003. Philos. Trans. R. Soc. Lond. B Biol. Sci. 2004, 359, 1127–1129. [Google Scholar] [CrossRef] [PubMed]
- Benitez, M.A. Hong Kong (China): Hospitals under siege. In SARS: How a Global Epidemic Was Stopped; Omi, S., Ed.; The World Health Organization Western Pacific Office: Manila, Philippines, 2006; pp. 86–93. Available online: https://apps.who.int/iris/bitstream/handle/10665/207501/9290612134_eng.pdf (accessed on 23 August 2022).
- Chan, A.K.; Nickson, C.P.; Rudolph, J.W.; Lee, A.; Joynt, G.M. Social media for rapid knowledge dissemination: Early experience from the COVID-19 pandemic. Anaesthesia 2020, 75, 1579–1582. [Google Scholar] [CrossRef] [PubMed]
- Schabas, R. SARS: Prudence, not panic. CMAJ 2003, 168, 1432–1434. [Google Scholar]
- Xie, X.; Stone, E.; Zheng, R.; Zhang, R. The Typhoon Eye Effect: Determinants of distress during the SARS 595 epidemic. J. Risk Res. 2011, 14, 1091–1107. [Google Scholar] [CrossRef]
- Weir, E.; Schabas, R.; Wilson, K.; Mackie, C. A Canadian Framework for Applying the Precautionary Principle to Public Health Issues. Can. J. Public Health 2010, 101, 396–398. [Google Scholar] [CrossRef] [PubMed]
- Palayew, A.; Norgaard, O.; Safreed-Harmon, K.; Andersen, T.H.; Rasmussen, L.N.; Lazarus, J.V. Pandemic publishing poses a new COVID-19 challenge. Nat. Hum. Behav. 2020, 4, 666–669. [Google Scholar] [CrossRef]
- Hart, P.S.; Chinn, S.; Soroka, S.; Myrick, J.G. Politicization and Polarization in COVID-19 News Coverage. Sci. Commun. 2020, 42, 679–697. [Google Scholar] [CrossRef]
- de Sola, J. Science in the media: The scientific community’s perception of the COVID-19 media coverage in Spain. J. Sci. Commun. 2021, 20, A08. [Google Scholar] [CrossRef]
- Laskar, K.A.; Bhattacharyya, B. Community radio stations’ production responses to COVID-19 pandemic in India. Media Asia 2021, 48, 243–257. [Google Scholar] [CrossRef]
- Lovari, A. Spreading (Dis)Trust: Covid-19 Misinformation and Government Intervention in Italy. Media Commun. 2020, 8, 458–461. [Google Scholar] [CrossRef]
- Rogers, D.; Herbert, M.; Whitzman, C.; McCann, E.; Maginn, P.J.; Watts, B.; Alam, A.; Pill, M.; Keil, R.; Dreher, T.; et al. The city under COVID-19: Podcasting as digital methodology. Tijdschr. Econ. Soc. Geogr. 2020, 111, 434–450. [Google Scholar] [CrossRef] [PubMed]
- Wahyuningsih, E.; Baidi, B. Scrutinizing the potential use of Discord application as a digital platform amidst emergency remote learning. J. Educ. Manag. Instr. 2021, 1, 9–18. [Google Scholar] [CrossRef]
- Asadzadeh, A.; Kalankesh, L.R. A scope of mobile health solutions in COVID-19 pandemics. Inform. Med. Unlocked 2021, 23, 100558. [Google Scholar] [CrossRef] [PubMed]
- Zhou, X.; Mulay, A.; Ferrara, E.; Zafarani, R. ReCOVery: A Multimodal Repository for COVID-19 News Credibility Research. In Proceedings of the 29th ACM International Conference on Information & Knowledge Management, New York, NY, USA, 19–23 October 2020; pp. 3205–3212. [Google Scholar] [CrossRef]
- Shahsavari, S.; Holur, P.; Wang, T.; Tangherlini, T.R.; Roychowdhury, V. Conspiracy in the time of corona: Automatic detection of emerging COVID-19 conspiracy theories in social media and the news. J. Comput. Soc. Sci. 2020, 3, 279–317. [Google Scholar] [CrossRef]
- Naeem, M. Do social media platforms develop consumer panic buying during the fear of Covid-19 pandemic. J. Retail. Consum. Serv. 2021, 58, 102226. [Google Scholar] [CrossRef]
- Naeem, M. The role of social media to generate social proof as engaged society for stockpiling behaviour of customers during COVID-19 pandemic. Qual. Mark. Res. 2021, 24, 281–301. [Google Scholar] [CrossRef]
- Garbe, L.; Rau, R.; Toppe, T. Influence of perceived threat of COVID-19 and HEXACO personality traits on toilet paper stockpiling. PLoS ONE 2020, 15, e0234232. [Google Scholar] [CrossRef]
- Labad, J.; Gonzalez-Rodriguez, A.; Cobo, J.; Punti, J.; Farre, J.M. A systematic review and realist synthesis on toilet paper hoarding: COVID or not COVID, that is the question. PeerJ 2021, 9, e10771. [Google Scholar] [CrossRef]
- Patel, M.K.; Bergeri, I.; Bresee, J.S.; Cowling, B.J.; Crowcroft, N.S.; Fahmy, K.; Hirve, S.; Kang, G.; Katz, M.A.; Lanata, C.F.; et al. Evaluation of post-introduction COVID-19 vaccine effectiveness: Summary of interim guidance of the World Health Organization. Vaccine 2021, 39, 4013–4024. [Google Scholar] [CrossRef]
- Gates, B. Innovation for pandemics. N. Engl. J. Med. 2018, 378, 2057–2060. [Google Scholar] [CrossRef]
- Gates, B. Responding to COVID-19—A once-in-a-century pandemic? N. Engl. J. Med. 2020, 382, 1677–1679. [Google Scholar] [CrossRef] [PubMed]
- Crawford, J. Does Bill Gates Have Too Much Influence in the WHO? Available online: https://www.swissinfo.ch/eng/does-bill-gates-have-too-much-influence-in-the-who-/46570526 (accessed on 31 July 2022).
- Blaylock, R.L. COVID UPDATE: What is the truth? Surg. Neurol. Int. 2022, 13, 167. [Google Scholar] [CrossRef] [PubMed]
- Nussbaumer-Streit, B.; Mayr, V.; Dobrescu, A.I.; Chapman, A.; Persad, E.; Klerings, I.; Wagner, G.; Siebert, U.; Ledinger, D.; Zachariah, C.; et al. Quarantine alone or in combination with other public health measures to control COVID-19: A rapid review. Cochrane Database Syst. Rev. 2020, 9, CD013574. [Google Scholar] [CrossRef]
- Hernandez, R.G.; Hagen, L.; Walker, K.; O’Leary, H.; Lengacher, C. The COVID-19 vaccine social media infodemic: Healthcare providers’ missed dose in addressing misinformation and vaccine hesitancy. Hum. Vaccines Immunother. 2021, 17, 2962–2964. [Google Scholar] [CrossRef] [PubMed]
- McCullough, P.A.; Kelly, R.J.; Ruocco, G.; Lerma, E.; Tumlin, J.; Wheelan, K.R.; Katz, N.; Lepor, N.E.; Vijay, K.; Carter, H.; et al. Pathophysiological basis and rationale for early outpatient treatment of SARS-CoV-2 (COVID-19) infection. Am. J. Med. 2021, 134, 16–22. [Google Scholar] [CrossRef] [PubMed]
- Sullivan, D.J.; Gebo, K.A.; Shoham, S.; Bloch, E.M.; Lau, B.; Shenoy, A.G.; Mosnaim, G.S.; Gniadek, T.J.; Fukuta, Y.; Patel, B.; et al. Early outpatient treatment for Covid-19 with convalescent plasma. N. Engl. J. Med. 2022, 386, 1700–1711. [Google Scholar] [CrossRef] [PubMed]
- Benis, A.; Seidmann, A.; Ashkenazi, S. Reasons for Taking the COVID-19 Vaccine by US Social Media Users. Vaccines 2021, 9, 315. [Google Scholar] [CrossRef] [PubMed]
- Topf, J.M.; Williams, P.N. COVID-19, social media, and the role of the public physician. Blood Purif. 2021, 50, 595–601. [Google Scholar] [CrossRef] [PubMed]
- Kearon, J.; Risdon, C. The Role of Primary Care in a Pandemic: Reflections during the COVID-19 Pandemic in Canada. J. Prim. Care Commun. Health 2020, 11, 2150132720962871. [Google Scholar] [CrossRef] [PubMed]
- Collantoni, E.; Saieva, A.M.; Meregalli, V.; Girotto, C.; Carretta, G.; Boemo, D.G.; Bordignon, G.; Capizzi, A.; Contessa, C.; Nesoti, M.V.; et al. Psychological Distress, Fear of COVID-19, and Resilient Coping Abilities among Healthcare Workers in a Tertiary First-Line Hospital during the Coronavirus Pandemic. J. Clin. Med. 2021, 10, 1465. [Google Scholar] [CrossRef]
- Malik, S.; Ullah, I.; Irfan, M.; Ahorsu, D.K.; Lin, C.Y.; Pakpour, A.H.; Griffiths, M.D.; Rehman, I.U.; Minhas, R. Fear of COVID-19 and workplace phobia among Pakistani doctors: A survey study. BMC Public Health 2021, 21, 833. [Google Scholar] [CrossRef] [PubMed]
- Taylor, L. COVID-19 misinformation sparks threats and violence against doctors in Latin America. BMJ 2020, 370, m3088. [Google Scholar] [CrossRef] [PubMed]
- Iyengar, K.P.; Jain, V.K.; Vaishya, R. Current situation with doctors and healthcare workers during COVID-19 pandemic in India. Postgrad. Med. J. 2022, 98, e121–e122. [Google Scholar] [CrossRef]
- Ali Maher, O.; Bellizzi, S. Pandemic declaration, definition versus process. Public Health 2020, 185, 265. [Google Scholar] [CrossRef]
- Doshi, P. The elusive definition of pandemic influenza. Bull. World Health Organ. 2011, 89, 532e8. [Google Scholar] [CrossRef] [PubMed]
- Cucinotta, D.; Vanelli, M. WHO Declares COVID-19 a Pandemic. Acta Biomed. 2020, 91, 157–160. [Google Scholar] [CrossRef] [PubMed]
- World Health Organization. WHO Director-General’s Opening Remarks at the Media Briefing on COVID-19; WHO: Geneva, Switzerland, 2022; Available online: https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarks-at-the-media-briefing-on-covid-19---11-march-2020 (accessed on 10 August 2022).
- Haselton, M.G.; Nettle, D.; Murray, D.R. The evolution of cognitive bias. In The Handbook of Evolutionary Psychology; Wiley Online Library: New York, NY, USA, 2015; pp. 1–20. [Google Scholar] [CrossRef]
- Nematipour, B.; Bračić, M.; Krohs, U. Cognitive bias in animal behavior science: A philosophical perspective. Anim. Cogn. 2022, 25, 975–990. [Google Scholar] [CrossRef]
- Christiani, L. When are explicit racial appeals accepted? Examining the role of racial status threat. Polit. Behav. 2021, 1–21. [Google Scholar] [CrossRef]
- Mertens, G.; Lodder, P.; Smeets, T.; Duijndam, S. Fear of COVID-19 predicts vaccination willingness 14 months later. J. Anxiety Dis. 2022, 88, 102574. [Google Scholar] [CrossRef]
- Blanco, I.; Boemo, T.; Sanchez-Lopez, A. An Online Assessment to Evaluate the Role of Cognitive Biases and Emotion Regulation Strategies for Mental Health during the COVID-19 Lockdown of 2020: Structural Equation Modeling Study. JMIR Ment. Health 2021, 8, e30961. [Google Scholar] [CrossRef]
- Shen, L.; Yao, R.; Zhang, W.; Evans, R.; Cao, G.; Zhang, Z. Emotional Attitudes of Chinese Citizens on Social Distancing during the COVID-19 Outbreak: Analysis of Social Media Data. JMIR Med. Inform. 2021, 9, e27079. [Google Scholar] [CrossRef] [PubMed]
- Mellins, C.A.; Mayer, L.E.; Glasofer, D.R.; Devlin, M.J.; Albano, A.M.; Nash, S.S.; Engle, E.; Cullen, C.; Ng, W.Y.; Allmann, A.E.; et al. Supporting the well-being of health care providers during the COVID-19 pandemic: The CopeColumbia response. Gen. Hosp. Psychiatry 2020, 67, 62–69. [Google Scholar] [CrossRef] [PubMed]
- Wenger, M.R.; Lantz, B. Generalized Hate: Bias Victimization against Non-Asian Racial/Ethnic Minorities during the COVID-19 Pandemic. Vict. Offend 2022, 17, 848–871. [Google Scholar] [CrossRef]
- Shafran, R.; Rachman, S.; Whittal, M.; Radomsky, A.; Coughtrey, A. Fear and anxiety in COVID-19: Preexisting anxiety disorders. Cogn. Behav. Pract. 2021, 28, 459–467. [Google Scholar] [CrossRef] [PubMed]
- Filindassi, V.; Pedrini, C.; Sabadini, C.; Duradoni, M.; Guazzini, A. Impact of COVID-19 First Wave on Psychological and Psychosocial Dimensions: A Systematic Review. COVID 2022, 2, 273–340. [Google Scholar] [CrossRef]
- Snapiri, O.; Rosenberg Danziger, C.; Krause, I.; Kravarusic, D.; Yulevich, A.; Balla, U.; Bilavsky, E. Delayed diagnosis of paediatric appendicitis during the COVID-19 pandemic. Acta. Paediatr. 2020, 109, 1672–1676. [Google Scholar] [CrossRef]
- Dvori, M.; Elitzur, S.; Barg, A.; Barzilai-Birenboim, S.; Gilad, G.; Amar, S.; Toledano, H.; Toren, A.; Weinreb, S.; Goldstein, G.; et al. Delayed diagnosis and treatment of children with cancer during the COVID-19 pandemic. Int. J. Clin. Oncol. 2021, 26, 1569–1574. [Google Scholar] [CrossRef]
- Jahan, I.; Ullah, I.; Griffiths, M.D.; Mamun, M.A. COVID-19 suicide and its causative factors among the healthcare professionals: Case study evidence from press reports. Perspect. Psychiatr. Care 2021, 57, 1707–1711. [Google Scholar] [CrossRef]
- Yao, H.; Liu, W.; Wu, C.H.; Yuan, Y.H. The imprinting effect of SARS experience on the fear of COVID-19: The role of AI and big data. Socio-Econ. Plan. Sci. 2022, 80, 101086. [Google Scholar] [CrossRef]
- Person, B.; Sy, F.; Holton, K.; Govert, B.; Liang, A.; Team, S.C.; Garza, B.; Gould, D.; Hickson, M.; McDonald, M.; et al. Fear and stigma: The epidemic within the SARS outbreak. Emerg. Infect. Dis. 2004, 10, 358. [Google Scholar] [CrossRef]
- Eichelberger, L. SARS and New York’s Chinatown: The politics of risk and blame during an epidemic of fear. Soc. Sci. Med. 2007, 65, 1284–1295. [Google Scholar] [CrossRef] [PubMed]
- Goularte, J.F.; Serafim, S.D.; Colombo, R.; Hogg, B.; Caldieraro, M.A.; Rosa, A.R. COVID-19 and mental 499 health in Brazil: Psychiatric symptoms in the general population. J. Psychiatr. Res. 2021, 132, 32–37. [Google Scholar] [CrossRef] [PubMed]
- Frankenstein, A.N.; Udeogu, O.J.; McCurdy, M.P.; Sklenar, A.M.; Leshikar, E.D. Exploring the relationship between retrieval practice, self-efficacy, and memory. Mem. Cogn. 2022, 50, 1299–1318. [Google Scholar] [CrossRef] [PubMed]
- Kassim, M.A.M.; Pang, N.T.P.; Mohamed, N.H.; Kamue, A.; Ho, C.M.; Ayu, F.; Rahim, S.S.S.A.; Omar, A.; Jeffree, M.S. Relationship between Fear of COVID-19, Psychopathology and Sociodemographic Variables in Malaysian Population. Int. J. Ment. Health Addict. 2022, 20, 1303–1310. [Google Scholar] [CrossRef] [PubMed]
- Kreutzmann, J.C.; Marin, M.F.; Fendt, M.; Milad, M.R.; Ressler, K.; Jovanovic, T. Unconditioned response to an aversive stimulus as predictor of response to conditioned fear and safety: A cross-species study. Behav. Brain Res. 2021, 402, 113105. [Google Scholar] [CrossRef]
- Burnell, R.; Nash, R.A.; Umanath, S.; Garry, M. Memories people no longer believe in can still affect them in helpful and harmful ways. Mem. Cogn. 2022, 50, 1319–1335. [Google Scholar] [CrossRef]
- Oral, T.; Gunlu, A. Adaptation of the Social Distancing Scale in the COVID-19 Era: Its Association with Depression, Anxiety, Stress, and Resilience in Turkey. Int. J. Ment. Health Addict. 2022, 20, 1336–1353. [Google Scholar] [CrossRef]
- Faisal, R.A.; Jobe, M.C.; Ahmed, O.; Sharker, T.l. Mental Health Status, Anxiety, and Depression Levels of Bangladeshi University Students during the COVID-19 Pandemic. Int. J. Ment. Health Addict. 2022, 20, 1500–1515. [Google Scholar] [CrossRef]
- Quansah, F.; Anin, S.K.; Hagan, J.E.J.; Agormedah, E.K.; Oduro, P.; Srem-Sai, M.; Frimpong, J.B.; Schack, T. Analysis of COVID-19 Risk Perception and Its Correlates among University Students in Ghana. COVID 2022, 2, 1125–1138. [Google Scholar] [CrossRef]
- Pak, H.; Süsen, Y.; Denizci Nazlıgül, M.; Griffiths, M. The Mediating Effects of Fear of COVID-19 and Depression on the Association between Intolerance of Uncertainty and Emotional Eating during the COVID-19 Pandemic in Turkey. Int. J. Ment. Health Addict. 2022, 20, 1882–1896. [Google Scholar] [CrossRef]
- Oshio, A.; Taku, K.; Hirano, M.; Saeed, G. Resilience and Big Five personality traits: A meta-analysis. Personal. Individ. Differ. 2018, 127, 54–60. [Google Scholar] [CrossRef]
- Agbaria, Q.; Mokh, A.A. Coping with Stress during the Coronavirus Outbreak: The Contribution of Big Five Personality Traits and Social Support. Int. J. Ment. Health Addict. 2022, 20, 1854–1872. [Google Scholar] [CrossRef] [PubMed]
- Lee, S.A.; Crunk, E.A. Fear and Psychopathology During the COVID-19 Crisis: Neuroticism, Hypochondriasis, Reassurance-Seeking, and Coronaphobia as Fear Factors. OMEGA 2022, 85, 483–496. [Google Scholar] [CrossRef]
- Machado, S.; Murillo-Rodriguez, E.; Imperatori, C.; Souza de Sá Filho, A. Neuropsychiatric Consequences of COVID-19: What Do We Know So Far? Alpha Psychiatry 2022, 23, 155–156. Available online: https://alpha-psychiatry.com/en/neuropsychiatric-consequences-of-covid-19-what-do-we-know-so-far-132718 (accessed on 29 June 2022).
- Efstathiou, V.; Stefanou, M.; Siafakas, N.; Makris, M.; Tsivgoulis, G.; Zoumpourlis, V.; Spandidos, D.A.; Smyrnis, N.; Rizos, E. Suicidality and COVID-19: Suicidal ideation, suicidal behaviors and completed suicides amidst the COVID-19 pandemic (Review). Exp. Ther. Med. 2022, 23, 107. [Google Scholar] [CrossRef]
- Alzueta, E.; Perrin, P.; Baker, F.C.; Caffarra, S.; Ramos-Usuga, D.; Yuksel, D.; Arango-Lasprilla, J.C. How the COVID-19 pandemic has changed our lives: A study of psychological correlates across 59 countries. J. Clin. Psychol. 2021, 77, 556–570. [Google Scholar] [CrossRef]
- Dubey, S.; Biswas, P.; Ghosh, R.; Chatterjee, S.; Dubey, M.J.; Chatterjee, S.; Lahiri, D.; Lavie, C.J. Psychosocial impact of COVID-19. Diabetes Metab. Syndr. Clin. Res. Rev. 2020, 14, 779–788. [Google Scholar] [CrossRef]
- Mansoor, M. Citizens’ trust in government as a function of good governance and government agency’s provision of quality information on social media during COVID-19. Gov. Inf. Q. 2021, 38, 101597. [Google Scholar] [CrossRef]
- Margraf, J.; Brailovskaia, J.; Schneider, S. Behavioral measures to fight COVID-19: An 8-country study of 540 perceived usefulness, adherence and their predictors. PLoS ONE 2020, 15, e0243523. [Google Scholar] [CrossRef]
- Sugawara, D.; Masuyama, A.; Kubo, T. Socioeconomic Impacts of the COVID-19 Lockdown on the Mental Health and Life Satisfaction of the Japanese Population. Int. J. Ment. Health Addict. 2022, 20, 1560–1574. [Google Scholar] [CrossRef]
- Hamouche, S. COVID-19 and employees’ mental health: Stressors, moderators and agenda for organizational actions. Emerald Open Res. 2020, 2, 15. [Google Scholar] [CrossRef]
- Kolahchi, Z.; De Domenico, M.; Uddin, L.Q.; Cauda, V.; Grossmann, I.; Lacasa, L.; Grancini, G.; Mahmoudi, M.; Rezaei, N. COVID-19 and Its Global Economic Impact. Coronavirus Dis. COVID-19 2021, 1318, 825–837. [Google Scholar] [CrossRef]
- Ngo, V.M.; Nguyen, H.H.; Phan, H.T.; Tran, P.T.T. Lives and livelihoods trade-offs: Which COVID-19 strategies for which countries? Cogent Econ. Financ. 2022, 10, 2022859. [Google Scholar] [CrossRef]
- Ando, M.; Furuichi, M. The association of COVID-19 employment shocks with suicide and safety net use: An early-stage investigation. PLoS ONE 2022, 17, e0264829. [Google Scholar] [CrossRef] [PubMed]
- Pandi-Perumal, S.R.; Zaki, N.F.W.; Qasim, M.; Morsy, N.E.; Manzar, M.D.; Ahmed, S.B.; Jahrami, H.; Ramasubramanian, C.; Karthikeyan, R.; Supasitthumrong, T.; et al. Neuropsychiatric Consequences of COVID-19 Pandemic: A Synthetic Review from a Global Perspective. Alpha Psychiatry 2022, 23, 144–154. [Google Scholar] [CrossRef]
- Kim, Y.E. Unemployment and child maltreatment during the COVID-19 pandemic in the Republic of Korea. Child Abus. Negl. 2022, 130, 105474. [Google Scholar] [CrossRef]
- MacMillan, T.; Corrigan, M.J.; Coffey, K.; Tronnier, C.D.; Wang, D.; Krase, K. Exploring Factors Associated with Alcohol and/or Substance Use during the COVID-19 Pandemic. Int. J. Ment. Health Addict. 2022, 20, 1814–1823. [Google Scholar] [CrossRef]
- Agbaria, Q.; Mokh, A.A. Personal and Social Resources in Coping with Coronavirus Crisis among Israeli-Palestinian Adults: Explanatory Study. Int. J. Ment. Health Addict. 2022, 20, 1595–1610. [Google Scholar] [CrossRef]
- Fruehwirth, J.C.; Gorman, B.L.; Perreira, K.M. The effect of social and stress-related factors on alcohol use among college students during the COVID-19 pandemic. J. Adolesc. Health 2021, 69, 557–565. [Google Scholar] [CrossRef]
- Sevilla, A.; Smith, S. Baby steps: The gender division of childcare during the COVID-19 pandemic. Oxford Rev. Econ. Policy 2020, 36, S169–S186. [Google Scholar] [CrossRef]
- .Del Boca, D.; Oggero, N.; Profeta, P.; Rossi, M. Women’s and men’s work, housework and childcare, before and during COVID-19. Rev. Econ. Househ. 2020, 18, 1001–1017. [Google Scholar] [CrossRef] [PubMed]
- Zamarro, G.; Prados, M.J. Gender differences in couples’ division of childcare, work and mental health during COVID-19. Rev. Econ. Househ. 2021, 19, 11–40. [Google Scholar] [CrossRef] [PubMed]
- Carpenter, D.; Dunn, J. We’re all teachers now: Remote learning during COVID-19. J. Sch. Choice 2020, 14, 567–594. [Google Scholar] [CrossRef]
- Feinberg, M.E.; Mogle, J.A.; Lee, J.K.; Tornello, S.L.; Hostetler, M.L.; Cifelli, J.A.; Bai, S.; Hotez, E. Impact of the COVID-19 pandemic on parent, child, and family functioning. Fam. Process. 2022, 61, 361–374. [Google Scholar] [CrossRef] [PubMed]
- Goudeau, S.; Sanrey, C.; Stanczak, A.; Manstead, A.; Darnon, C. Why lockdown and distance learning during the COVID-19 pandemic are likely to increase the social class achievement gap. Nat. Hum. Behav. 2021, 5, 1273–1281. [Google Scholar] [CrossRef]
- Cassinat, J.R.; Whiteman, S.D.; Serang, S.; Dotterer, A.M.; Mustillo, S.A.; Maggs, J.L.; Kelly, B.C. Changes in family chaos and family relationships during the COVID-19 pandemic: Evidence from a longitudinal study. Dev. Psychol. 2021, 57, 1597. [Google Scholar] [CrossRef]
- Danon, L.; Lacasa, L.; Brooks-Pollock, E. Household bubbles and COVID-19 transmission: Insights from percolation theory. Philos. Trans. R. Soc. B 2021, 376, 20200284. [Google Scholar] [CrossRef]
- Hornstein, E.A.; Eisenberger, N.I. Exploring the effect of loneliness on fear: Implications for the effect of COVID-19-induced social disconnection on anxiety. Behav. Res. Ther. 2022, 153, 104101. [Google Scholar] [CrossRef]
- Parlapani, E.; Holeva, V.; Nikopoulou, V.A.; Sereslis, K.; Athanasiadou, M.; Godosidis, A.; Stephanou, T.; Diakogiannis, I. Intolerance of uncertainty and loneliness in older adults during the COVID-19 pandemic. Front. Psychiatry 2020, 11, 842. [Google Scholar] [CrossRef]
- Zheng, D.; Luo, Q.; Ritchie, B.W. Afraid to travel after COVID-19? Self-protection, coping and resilience against pandemic ‘travel fear’. Tour. Manag. 2021, 83, 104261. [Google Scholar] [CrossRef]
- Vinod, B. Airline revenue planning and the COVID-19 pandemic. J. Tour. Futures 2021, 8, 245–253. [Google Scholar] [CrossRef]
- Sidhu, P.K. Effect of COVID-19 on Education Sector. In Virtual Learning; Routledge: London, UK, 2022; pp. 161–172. [Google Scholar] [CrossRef]
- Namboodiri, S. Zoom-ing Past “the New Normal”? Understanding Students’ Engagement with Online Learning in Higher Education during the COVID-19 Pandemic. In Re-Imagining Educational Futures in Developing Countries; Mogaji, E., Jain, V., Maringe, F., Hinson, R.E., Eds.; Palgrave Macmillan: Cham, Switzerland, 2022; pp. 139–158. [Google Scholar] [CrossRef]
- Stachteas, P.; Stachteas, C. The psychological impact of the COVID-19 pandemic on secondary school teachers. Psychiatriki 2020, 31, 293–301. [Google Scholar] [CrossRef] [PubMed]
- Cervantes-Guevara, G.; Maciel-Saldierna, M.; Elizondo-Hernández, E.; Cervantes-Pérez, L.A.; Cervantes-Cardona, G.A.; García-Reyna, B.; Ibarrola-Peña, J.C.; Almanza-Mena, Y.L.; Barbosa-Camacho, F.J.; Fuentes-Orozco, C.; et al. Fear of COVID-19 in High School Personnel: A Survey Study in Western Mexico. Int. J. Ment. Health Addict. 2022, 20, 1687–1694. [Google Scholar] [CrossRef]
- Delamarter, J.; Ewart, M. Responding to student teachers’ fears: How we’re adjusting during the COVID-19 shutdowns. Northwest J. Teach. Educ. 2020, 15, 3. [Google Scholar] [CrossRef]
- Zhou, W.; Hare, B. The Early Expression of Blatant Dehumanization in Children and Its Association with Outgroup Negativity. Hum. Nat. 2022, 33, 196–214. [Google Scholar] [CrossRef] [PubMed]
- Arslan, G.; Yıldırım, M.; Zangeneh, M. Coronavirus Anxiety and Psychological Adjustment in College Students: Exploring the Role of College Belongingness and Social Media Addiction. Int. J. Ment. Health Addict. 2022, 20, 1546–1559. [Google Scholar] [CrossRef]
- Kleitman, S.; Fullerton, D.J.; Zhang, L.M.; Blanchard, M.D.; Lee, J.; Stankov, L.; Thompson, V. To comply or not comply? A latent profile analysis of behaviours and attitudes during the COVID-19 pandemic. PLoS ONE 2021, 16, e0255268. [Google Scholar] [CrossRef]
- Reznik, A.; Gritsenko, V.; Konstantinov, V.; Yehudai, M.; Bender, S.; Shilina, S.; Isralowitz, R. First and Second Wave COVID-19 Fear Impact: Israeli and Russian Social Work Student Fear, Mental Health and Substance Use. Int. J. Ment. Health Addict. 2022, 20, 1806–1813. [Google Scholar] [CrossRef]
- Draus, A. Halifax Children’s Hospital Says Emergency Department in ‘Crisis’. Available online: https://apple.news/Af_9kLQg4S66lbgV1H9l6ew (accessed on 18 June 2022).
- Simon, A. London, Ont. Children’s Hospital Reports ’Historic High’ Emergency Visits for May. 16 June 2022. Available online: https://apple.news/AwjPsVU8SQA-8PG5kXr5TjA (accessed on 18 June 2022).
- Kurihara, S.; Nakajima, M.; Kaszynski, R.H.; Yamamoto, Y.; Santo, K.; Takane, R.; Tokuno, H.; Ishihata, A.; Ando, H.; Miwa, M.; et al. Prevalence of COVID-19 Mimics in the Emergency Department. Intern. Med. 2021, 60, 3087–3092. [Google Scholar] [CrossRef]
- Chatterji, P.; Li, Y. Effects of the COVID-19 Pandemic on Outpatient Providers in the US (No. W27173); National Bureau of Economic Research: Cambridge, MA, USA, 2020. [Google Scholar] [CrossRef]
- Cai, C.Z.; Lin, Y.L.; Hu, Z.J.; Wong, L.P. Psychological and mental health impacts of COVID-19 pandemic on healthcare workers in China: A review. World J. Psychiatry 2021, 11, 337. [Google Scholar] [CrossRef]
- Sokol, D. COVID-19 vaccination should be mandatory for healthcare workers. BMJ 2021, 375, n2670. [Google Scholar] [CrossRef] [PubMed]
- Zhang, S.X.; Chen, J.; Afshar Jahanshahi, A.; Alvarez-Risco, A.; Dai, H.; Li, J.; Patty-Tito, R.M. Succumbing to the COVID-19 Pandemic—Healthcare Workers Not Satisfied and Intend to Leave Their Jobs. Int. J. Ment. Health Addict. 2022, 20, 956–965. [Google Scholar] [CrossRef]
- Van Hout, M.C.; Haddad, P.; Aaraj, E. The Impact of COVID-19 on Drug Use and Harm Reduction Programming in the Middle East and North Africa (MENA) Region: A Regional Consultation of Stakeholders and People Who Use Drugs. Int. J. Ment. Health Addict. 2022, 20, 2072–2085. [Google Scholar] [CrossRef] [PubMed]
- Mia, M.A.; Griffiths, M.D. Can South Asian Countries Cope with the Mental Health Crisis Associated with COVID-19? Int. J. Ment. Health Addict. 2022, 20, 1923–1932. [Google Scholar] [CrossRef]
- Qadeer, A.; Anis, M.; Ajmal, Z.; Kirsten, K.L.; Usman, M.; Khosa, R.R.; Liu, M.; Jiang, X.; Zhao, X. Sustainable development goals under threat? Multidimensional impact of COVID-19 on our planet and society outweigh short term global pollution reduction. Sustain. Cities Soc. 2022, 83, 103962. [Google Scholar] [CrossRef]
- Adelodun, B.; Ajibade, F.O.; Ibrahim, R.G.; Ighalo, J.O.; Bakare, H.O.; Kumar, P.; Eid, E.M.; Kumar, V.; Odey, G.; Choi, K.S. Insights into hazardous solid waste generation during COVID-19 pandemic and sustainable management approaches for developing countries. J. Mater. Cycles Waste Manag. 2021, 23, 2077–2086. [Google Scholar] [CrossRef] [PubMed]
- Ahorsu, D.K.; Lin, C.Y.; Imani, V.; Saffari, M.; Griffiths, M.D.; Pakpour, A.H. The Fear of COVID-19 Scale: Development and Initial Validation. Int. J. Ment. Health Addict. 2022, 20, 1537–1545. [Google Scholar] [CrossRef]
- Iversen, M.M.; Norekvål, T.M.; Oterhals, K.; Fadnes, L.T.; Mæland, S.; Pakpour, A.H.; Brevik, K. Psychometric Properties of the Norwegian Version of the Fear of COVID-19 Scale. Int. J. Ment. Health Addict. 2022, 20, 1446–1464. [Google Scholar] [CrossRef]
- Soraci, P.; Ferrari, A.; Abbiati, F.A.; Bandini, B.; Cavallaro, L.; Mozzone, S.; Vellone, E.; Frigerio, S.; Campagna, S. Validation and Psychometric Evaluation of the Italian Version of the Fear of COVID-19 Scale. Int. J. Ment. Health Addict. 2022, 20, 1913–1922. [Google Scholar] [CrossRef]
- Mailliez, M.; Griffiths, M.D.; Carre, A. Validation of the French Version of the Fear of COVID-19 Scale and Its Associations with Depression, Anxiety, and Differential Emotions. Int. J. Ment. Health Addict. 2022, 20, 2057–2071. [Google Scholar] [CrossRef]
- van Rooij, S.J.; Ravi, M.; Ely, T.D.; Michopoulos, V.; Winters, S.J.; Shin, J.; Marin, M.F.; Milad, M.R.; Rothbaum, B.O.; Ressler, K.J.; et al. Hippocampal activation during contextual fear inhibition related to resilience in the early aftermath of trauma. Behav. Brain Res. 2021, 408, 113282. [Google Scholar] [CrossRef] [PubMed]
- Holz, N.E.; Tost, H.; Meyer-Lindenberg, A. Resilience and the brain: A key role for regulatory circuits linked to social stress and support. Mol. Psychiatry 2020, 25, 379–396. [Google Scholar] [CrossRef] [PubMed]
- Jackson, M.C. How We Understand “Complexity” Makes a Difference: Lessons from Critical Systems Thinking and the COVID-19 Pandemic in the UK. Systems 2020, 8, 52. [Google Scholar] [CrossRef]
- Nash, C. Online Meeting Challenges in a Research Group Resulting from COVID-19 Limitations. Challenges 2021, 12, 29. [Google Scholar] [CrossRef]
- Parmet, W.E.; Sinha, M.S. Covid-19—The law and limits of quarantine. N. Engl. J. Med. 2020, 382, e28. [Google Scholar] [CrossRef]
- Storeng, K.T.; de Bengy Puyvallée, A.; Stein, F. COVAX and the rise of the ‘super public private partnership’ for global health. Glob. Public Health 2021, 1–7. [Google Scholar] [CrossRef]
- Martin, M.E.; Schuurman, N. Social media big data acquisition and analysis for qualitative GIScience: Challenges and opportunities. Ann. Am. Assoc. Geogr. 2020, 110, 1335–1352. [Google Scholar] [CrossRef]
- Fagherazzi, G.; Goetzinger, C.; Rashid, M.A.; Aguayo, G.A.; Huiart, L. Digital health strategies to fight COVID-19 worldwide: Challenges, recommendations, and a call for papers. J. Med. Internet Res. 2020, 22, e19284. [Google Scholar] [CrossRef]
- Cox, C.L. ‘Healthcare Heroes’: Problems with media focus on heroism from healthcare workers during the COVID-19 pandemic. J. Med. Ethics 2020, 46, 510–513. [Google Scholar] [CrossRef]
- McCormack, J.; Elwyn, G. Shared decision is the only outcome that matters when it comes to evaluating evidence-based practice. BMJ Evid. Based Med. 2018, 23, 137–139. [Google Scholar] [CrossRef]
- Sackett, D.L.; Rosenberg, W.M.C.; Muir Gray, J.A.; Haynes, R.B.; Richardson, W.S. Evidence based medicine: What it is and what it isn’t. BMJ 1996, 312, 71–72. [Google Scholar] [CrossRef] [PubMed]
- Czeisler, M.É.; Marynak, K.; Clarke, K.E.; Salah, Z.; Shakya, I.; Thierry, J.M.; Ali, N.; McMillan, H.; Wiley, J.F.; Weaver, M.D.; et al. Delay or avoidance of medical care because of COVID-19–related concerns—United States, June 2020. Morb. Mortal. Wkly. Rep. 2020, 69, 1250. [Google Scholar] [CrossRef]
- Saricali, M.; Satici, S.A.; Satici, B.; Gocet-Tekin, E.; Griffiths, M.D. Fear of COVID-19, Mindfulness, Humor, and Hopelessness: A Multiple Mediation Analysis. Int. J. Ment. Health Addict. 2022, 20, 2151–2164. [Google Scholar] [CrossRef] [PubMed]
- Murphy, D.H.; Knowlton, B.J. Framing effects in value-directed remembering. Mem. Cogn. 2022, 50, 1350–1361. [Google Scholar] [CrossRef]
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Nash, C. Fear-Responses to Bat-Originating Coronavirus Pandemics with Respect to Quarantines Gauged in Relation to Postmodern Thought—Implications and Recommendations. COVID 2022, 2, 1303-1328. https://doi.org/10.3390/covid2100096
Nash C. Fear-Responses to Bat-Originating Coronavirus Pandemics with Respect to Quarantines Gauged in Relation to Postmodern Thought—Implications and Recommendations. COVID. 2022; 2(10):1303-1328. https://doi.org/10.3390/covid2100096
Chicago/Turabian StyleNash, Carol. 2022. "Fear-Responses to Bat-Originating Coronavirus Pandemics with Respect to Quarantines Gauged in Relation to Postmodern Thought—Implications and Recommendations" COVID 2, no. 10: 1303-1328. https://doi.org/10.3390/covid2100096
APA StyleNash, C. (2022). Fear-Responses to Bat-Originating Coronavirus Pandemics with Respect to Quarantines Gauged in Relation to Postmodern Thought—Implications and Recommendations. COVID, 2(10), 1303-1328. https://doi.org/10.3390/covid2100096