The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
The pandemic of social media panic travels faster than the COVID-19 outbreak
Open accessAbstract
We need to rapidly detect and respond to public rumours, perceptions, attitudes and behaviours around COVID-19 and control measures. The creation of an interactive platform and dashboard to provide real-time alerts of rumours and concerns about coronavirus spreading globally would enable public health officials and relevant stakeholders to respond rapidly with a proactive and engaging narrative that can mitigate misinformation.
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.
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?
The cited source says what the claim attributes to it.
In the citing paper
“Key challenges persist, including the rise of potentially harmful misinformation 98,99 and digital inequalities 100 (discussed below).”
From Digital technologies in the public-health response to COVID-19 (2020) · cites this paper as [99]
In the citing paper
“Our results highlight the unintended and negative impacts of mass quarantine, including reinforcing stigma against social minorities,31 aggravating misinformation31,46 and undermining public trust in governments.29,31”
From Social consequences of mass quarantine during epidemics: a systematic review with implications for the COVID-19 response (2020) · cites this paper as [46]
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
Wilder-Smith, A., & Freedman, D. O. (2020) · Journal of Travel Medicine · doi:10.1093/jtm/taaa020 · Cited by 2,727
Self-citationThe biggest pandemic risk? Viral misinformation
Larson, H. J. (2018) · Nature · doi:10.1038/d41586-018-07034-4 · Cited by 323
Self-citationCOVID-19: fighting panic with information
Lancet, T. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30379-2 · Cited by 300
Travellers give wings to novel coronavirus (2019-nCoV)
Wilson, M. E., & Chen, L. H. (2020) · Journal of Travel Medicine · doi:10.1093/jtm/taaa015 · Cited by 211
The H1N1 pandemic: media frames, stigmatization and coping
McCauley, M. P., Minsky, S. J., & Viswanath, K. (2013) · BMC Public Health · doi:10.1186/1471-2458-13-1116 · Cited by 207
Enria, L., Lees, S. S., Smout, E. M., Mooney, T., Tengbeh, A. F., Leigh, B., Greenwood, B. M., Watson‐Jones, D., & Larson, H. J. (2016) · BMC Public Health · doi:10.1186/s12889-016-3799-x · Cited by 127
Self-citationTracking online heroisation and blame in epidemics
Atlani-Duault, L., Ward, J. K., Roy, M., Morin, C., & Wilson, A. (2020) · The Lancet Public Health · doi:10.1016/s2468-2667(20)30033-5 · Cited by 92
Transnational Quarantine Rhetorics: Public Mobilization in SARS and in H1N1 Flu
Ding, H. (2014) · Journal of Medical Humanities · doi:10.1007/s10912-014-9282-8 · Cited by 23
Flagged first, then by citations
Cited by
Sorted by citations
Psychosocial impact of COVID-19
Dubey, S., Biswas, P., Ghosh, R., Chatterjee, S., Dubey, M. J., Chatterjee, S., Lahiri, D., & Lavie, C. J. (2020) · Diabetes & Metabolic Syndrome: Clinical Research & Reviews · doi:10.1016/j.dsx.2020.05.035 · Cited by 1,958
Digital technologies in the public-health response to COVID-19
Budd, J., Miller, B. S., Manning, E. M., Lampos, V., Zhuang, M., Edelstein, M., Rees, G., Emery, V. C., Stevens, M. M., Keegan, N., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-1011-4 · Cited by 1,195
Inoculating Against Fake News About COVID-19
van der Linden, S., Roozenbeek, J., & Compton, J. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.566790 · Cited by 632
Bäuerle, A., Teufel, M., Musche, V., Weismüller, B., Kohler, H., Hetkamp, M., Dörrie, N., Schweda, A., & Skoda, E.-M. (2020) · Journal of Public Health · doi:10.1093/pubmed/fdaa106 · Cited by 597
Emotional, Behavioral, and Psychological Impact of the COVID-19 Pandemic
Pedrosa, A. L., Bitencourt, L., Fróes, A. C. F., Cazumbá, M. L. B., Campos, R. G. B., de Brito, S. B. C. S., & Silva, A. C. S. E. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.566212 · Cited by 632
Taghrir, M. H., Borazjani, R., & Shiraly, R. (2020) · Archives of Iranian Medicine · doi:10.34172/aim.2020.06 · Cited by 585
Chew, Q. H., Wei, K., Vasoo, S. S., Chua, H., & Sim, K. (2020) · Singapore Medical Journal · doi:10.11622/smedj.2020046 · Cited by 537
Rocha, Y. M., de Moura, G. A., Desidério, G. A., de Oliveira, C. H., Lourenço, F. D., & Nicolete, L. D. D. F. (2021) · Journal of Public Health · doi:10.1007/s10389-021-01658-z · Cited by 485
Social media influence in the COVID-19 Pandemic
González‐Padilla, D. A., & Tortolero, L. (2020) · International braz j urol · doi:10.1590/s1677-5538.ibju.2020.s121 · Cited by 514
Ni, M. Y., Yang, L., Leung, C. M. C., Li, N., Yao, X. I., Wang, Y., Leung, G. M., Cowling, B. J., & Liao, Q. (2020) · JMIR Mental Health · doi:10.2196/19009 · Cited by 468
Chakraborty, K., Bhatia, S., Bhattacharyya, S., Platos, J., Bag, R., & Hassanien, A. E. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106754 · Cited by 375
COVIDSenti: A Large-Scale Benchmark Twitter Data Set for COVID-19 Sentiment Analysis
Naseem, U., Razzak, I., Khushi, M., Eklund, P., & Kim, J. (2021) · IEEE Transactions on Computational Social Systems · doi:10.1109/tcss.2021.3051189 · Cited by 360
Rosenberg, H., Syed, S., & Rezaie, S. R. (2020) · Canadian Journal of Emergency Medicine · doi:10.1017/cem.2020.361 · Cited by 342
COVID-19 and employees’ mental health: stressors, moderators and agenda for organizational actions
Hamouche, S. (2020) · Emerald Open Research · doi:10.35241/emeraldopenres.13550.1 · Cited by 316
Valdez, D., ten Thij, M., Bathina, K. C., Rutter, L. A., & Bollen, J. (2020) · Journal of Medical Internet Research · doi:10.2196/21418 · Cited by 275
Public health emergencies of international concern: a historic overview
Wilder‐Smith, A., & Osman, S. (2020) · Journal of Travel Medicine · doi:10.1093/jtm/taaa227 · Cited by 303
Self-citationChu, I. Y.-H., Alam, P., Larson, H. J., & Lin, L. (2020) · Journal of Travel Medicine · doi:10.1093/jtm/taaa192 · Cited by 247
Self-citationSallam, M., Dababseh, D., Yaseen, A. I. B., Al-Haidar, A., Ababneh, N. A., Bakri, F. G., & Mahafzah, A. M. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17144915 · Cited by 259
Bodas, M., & Peleg, K. (2020) · Health Affairs · doi:10.1377/hlthaff.2020.00382 · Cited by 251
The anatomy of panic buying related to the current COVID-19 pandemic
Sim, K., Chua, H. C., Vieta, E., & Fernandez, G. (2020) · Psychiatry Research · doi:10.1016/j.psychres.2020.113015 · Cited by 247
Understanding the new post-COVID-19 risk scenario: Outlooks and challenges for a new era of tourism
Villacé-Molinero, T., Fernández-Muñoz, J. J., Orea-Giner, A., & Fuentes-Moraleda, L. (2021) · Tourism Management · doi:10.1016/j.tourman.2021.104324 · Cited by 250
A Global Map of COVID-19 Vaccine Acceptance Rates per Country: An Updated Concise Narrative Review
Sallam, M., Alsanafi, M., & Sallam, M. (2022) · Journal of Multidisciplinary Healthcare · doi:10.2147/jmdh.s347669 · Cited by 242
Positive and negative impact of social media in the COVID-19 era
Venegas-Vera, A. V., Colbert, G. B., & Lerma, E. V. (2020) · Reviews in Cardiovascular Medicine · doi:10.31083/j.rcm.2020.04.195 · Cited by 223
Naeem, M. (2020) · International Journal of Retail & Distribution Management · doi:10.1108/ijrdm-08-2020-0317 · Cited by 229
Dhaheri, A. S. A., Bataineh, M. F., Mohamad, M. N., Ajab, A., Marzouqi, A. M. A., Jarrar, A. H., Habib-Mourad, C., Jamous, D. O. A., Ali, H. I., Sabbah, H. A., et al. (2021) · PLoS ONE · doi:10.1371/journal.pone.0249107 · Cited by 248
Compton, J., van der Linden, S., Cook, J., & Basol, M. (2021) · Social & Personality Psychology Compass · doi:10.1111/spc3.12602 · Cited by 184
Yeung, A. W. K., Tosevska, A., Klager, E., Eibensteiner, F., Tsagkaris, C., Parvanov, E. D., Nawaz, F. A., Völkl-Kernstock, S., Schaden, E., Kletečka-Pulker, M., et al. (2021) · Journal of Medical Internet Research · doi:10.2196/28152 · Cited by 221
COVID-19 Misinformation Trends in Australia: Prospective Longitudinal National Survey
Pickles, K. M., Cvejic, E., Nickel, B., Copp, T., Bonner, C., Leask, J., Ayre, J., Batcup, C., Cornell, S., Dakin, T., et al. (2020) · Journal of Medical Internet Research · doi:10.2196/23805 · Cited by 224
Saud, M., Mashud, M., & Ida, R. (2020) · Journal of Public Affairs · doi:10.1002/pa.2417 · Cited by 251
Coping with Mental Health Challenges During COVID-19
Kar, S. K., Arafat, S. M. Y., Kabir, R., Sharma, P., & Saxena, S. K. (2020) · Medical virology · doi:10.1007/978-981-15-4814-7_16 · Cited by 203
Teovanović, P., Lukić, P., Zupan, Z., Lazić, A., Ninković, M., & Žeželj, I. L. (2020) · Applied Cognitive Psychology · doi:10.1002/acp.3770 · Cited by 207
Sallam, M., Dababseh, D., Eid, H., Hasan, H., Taim, D., Al-Mahzoum, K., Al-Haidar, A., Yaseen, A. I. B., Ababneh, N. A., Assaf, A. M., et al. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18052407 · Cited by 202
Vázquez, C., Valiente, C., García, F. E., Contreras, A., Peinado, V., Trucharte, A., & Bentall, R. P. (2021) · Journal of Happiness Studies · doi:10.1007/s10902-020-00352-3 · Cited by 217
Jovančević, A., & Milićević, N. (2020) · Personality and Individual Differences · doi:10.1016/j.paid.2020.110216 · Cited by 193
Resilience against crises: COVID-19 and lessons from natural disasters
Sakurai, M., & Chughtai, H. (2020) · European Journal of Information Systems · doi:10.1080/0960085x.2020.1814171 · Cited by 191
Liao, Q., Yuan, J., Dong, M., Yang, L., Fielding, R., & Lam, W. (2020) · Journal of Medical Internet Research · doi:10.2196/18796 · Cited by 191
Hornik, R., Kikut, A., Jesch, E., Woko, C., Siegel, L. N., & Kim, K. (2020) · Health Communication · doi:10.1080/10410236.2020.1847437 · Cited by 189
Sentimental Analysis of COVID-19 Tweets Using Deep Learning Models
Chintalapudi, N., Battineni, G., & Amenta, F. (2021) · Infectious Disease Reports · doi:10.3390/idr13020032 · Cited by 203
Siebenhaar, K. U., Köther, A. K., & Alpers, G. W. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.567905 · Cited by 185
Pian, W., Chi, J., & Ma, F. (2021) · Information Processing & Management · doi:10.1016/j.ipm.2021.102713 · Cited by 198
Mental Health Burden of the COVID-19 Outbreak in Germany: Predictors of Mental Health Impairment
Bäuerle, A., Steinbach, J., Schweda, A., Beckord, J., Hetkamp, M., Weismüller, B., Dinse, H., Musche, V., Dörrie, N., Teufel, M., et al. (2020) · Journal of Primary Care & Community Health · doi:10.1177/2150132720953682 · Cited by 172
Routine vaccination during covid-19 pandemic response
Saxena, S. K., Skirrow, H., & Bedford, H. E. (2020) · BMJ · doi:10.1136/bmj.m2392 · Cited by 165
Zeballos, D., Jaldin, M. L. L., Canaviri, B. N., Escalante, L. F. P., Alanes-Fernandez, A. M. C., & Ticona, J. P. A. (2021) · PLoS ONE · doi:10.1371/journal.pone.0245859 · Cited by 179
Soveri, A., Karlsson, L. C., Antfolk, J., Lindfelt, M., & Lewandowsky, S. (2021) · BMC Public Health · doi:10.1186/s12889-021-10643-w · Cited by 176
COVID-19 and employees’ mental health: stressors, moderators and agenda for organizational actions
Hamouche, S. (2020) · Emerald Open Research · doi:10.1108/eor-02-2023-0004 · Cited by 185
Impact of the COVID-19 Pandemic on Adult Mental Health
Haider, I. I., Tiwana, F., & Tahir, S. M. (2020) · Pakistan Journal of Medical Sciences · doi:10.12669/pjms.36.covid19-s4.2756 · Cited by 155
COVID-19, an Emerging Coronavirus Infection: Current Scenario and Recent Developments – An Overview
Rodriguez-Morales, A. J., Bonilla‐Aldana, D. K., Tiwari, R., Sah, R., Rabaan, A. A., & Dhama, K. (2020) · Journal of Pure and Applied Microbiology · doi:10.22207/jpam.14.1.02 · Cited by 152
The SARS-CoV-2 and mental health: From biological mechanisms to social consequences
Szcześniak, D. M., Gładka, A., Misiak, B., Cyran, A., & Rymaszewska, J. (2020) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2020.110046 · Cited by 157
Enria, L., Waterlow, N. R., Rogers, N. T., Brindle, H. E., Lal, S. D., Eggo, R. M., Lees, S. S., & Roberts, C. H. (2021) · PLoS ONE · doi:10.1371/journal.pone.0239247 · Cited by 152
Perić, G., Dramićanin, S., & Conić, M. (2021) · European Journal of Tourism Research · doi:10.54055/ejtr.v27i.2125 · Cited by 158
Riehm, K. E., Holingue, C., Kalb, L. G., Bennett, D., Kapteyn, A., Jiang, Q., Veldhuis, C. B., Johnson, R. M., Fallin, M. D., Kreuter, F., et al. (2020) · American Journal of Preventive Medicine · doi:10.1016/j.amepre.2020.06.008 · Cited by 150
Negative impact of social media panic during the COVID-19 outbreak in India
Kadam, A. B., & Atre, S. R. (2020) · Journal of Travel Medicine · doi:10.1093/jtm/taaa057 · Cited by 137
Lee, Y., Jeon, Y. J., Kang, S., Shin, J. I., Jung, Y., & Jung, S. J. (2022) · BMC Public Health · doi:10.1186/s12889-022-13409-0 · Cited by 166
Eaton, L. A., & Kalichman, S. C. (2020) · Journal of Behavioral Medicine · doi:10.1007/s10865-020-00157-y · Cited by 129
Flaherty, G. T., Hession, P., Liew, C. H., Lim, B. C. W., Leong, T. K., Lim, V., & Sulaiman, L. H. (2020) · Tropical Diseases, Travel Medicine and Vaccines · doi:10.1186/s40794-020-00118-y · Cited by 127
Baig, M., Jameel, T., Alzahrani, S. H., Mirza, A. A., Gazzaz, Z. J., Ahmad, T., Baig, F., & Almurashi, S. H. (2020) · PLoS ONE · doi:10.1371/journal.pone.0243526 · Cited by 132
Social media trust: Fighting misinformation in the time of crisis
Shahbazi, M., & Bunker, D. (2024) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2024.102780 · Cited by 126
Hou, Z., Du, F., Jiang, H., Zhou, X., & Lin, L. K. (2020) · SSRN Electronic Journal · doi:10.1101/2020.03.14.20035956 · Cited by 139
Ye, Q., Zhou, J., & Wu, H. Y. (2020) · JMIR Medical Informatics · doi:10.2196/19515 · Cited by 126
Wang, B., Schlagwein, D., Ćećez-Kecmanović, D., & Cahalane, M. C. (2020) · Journal of the Association for Information Systems · doi:10.17705/1jais.00641 · Cited by 125
Lehberger, M., Kleih, A., & Sparke, K. (2021) · Appetite · doi:10.1016/j.appet.2021.105118 · Cited by 118
Unfolding the Determinants of COVID-19 Vaccine Acceptance in China
Yin, F., Wu, Z., Xia, X., Ji, M., Wang, Y., & Zhi, H. (2020) · Journal of Medical Internet Research · doi:10.2196/26089 · Cited by 109
Radwan, E., Radwan, A., & Radwan, W. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e05807 · Cited by 111
Bibliometric analysis of mental health during the COVID-19 pandemic
Chen, Y., Zhang, X., Chen, S., Zhang, Y., Wang, Y., Lu, Q., & Zhao, Y. (2021) · Asian Journal of Psychiatry · doi:10.1016/j.ajp.2021.102846 · Cited by 117
Brailovskaia, J., & Margraf, J. (2024) · Current Psychology · doi:10.1007/s12144-022-03182-z · Cited by 101
Global Challenge of Health Communication: Infodemia in the Coronavirus Disease (COVID-19) Pandemic
Allahverdipour, H. (2020) · Journal of Education and Community Health · doi:10.29252/jech.7.2.65 · Cited by 100
Recovery from the COVID-19 pandemic: Distress and resilience
Kimhi, S., Marciano, H., Eshel, Y., & Adini, B. B. (2020) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2020.101843 · Cited by 112
Saso, A., Skirrow, H., & Kampmann, B. (2020) · Vaccines · doi:10.3390/vaccines8030556 · Cited by 100
Detecting Topic and Sentiment Dynamics Due to COVID-19 Pandemic Using Social Media
Yin, H., Yang, S., & Li, J. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-65390-3_46 · Cited by 117
A Deep Learning Approach for Sentiment Analysis of COVID-19 Reviews
Singh, C., Imam, T., Wibowo, S., & Grandhi, S. (2022) · Applied Sciences · doi:10.3390/app12083709 · Cited by 98
Problematika Pembelajaran Daring dalam Perspektif Mahasiswa
Widodo, A., & Nursaptini, N. (2020) · ELSE (Elementary School Education Journal) Jurnal Pendidikan dan Pembelajaran Sekolah Dasar · doi:10.30651/else.v4i2.5340 · Cited by 97
Naeem, M. (2020) · Qualitative Market Research An International Journal · doi:10.1108/qmr-04-2020-0050 · Cited by 106
Understanding patterns of COVID infodemic: A systematic and pragmatic approach to curb fake news
Gupta, A. V., Li, H., Farnoush, A., & Jiang, W. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.11.032 · Cited by 108
Szmuda, T., Syed, M. T., Singh, A., Ali, S., Özdemir, C., & Słoniewski, P. (2020) · Reviews in Medical Virology · doi:10.1002/rmv.2132 · Cited by 94
Hou, Z., Du, F., Zhou, X., Jiang, H., Martin, S., Larson, H. J., & Lin, L. K. (2020) · Journal of Medical Internet Research · doi:10.2196/21143 · Cited by 94
Self-citationRuan, J., Cai, Q., & Jin, S. (2021) · American Journal of Agricultural Economics · doi:10.1111/ajae.12211 · Cited by 91
How 3D printing and social media tackles the PPE shortage during Covid – 19 pandemic
Vordos, N., Gkika, D. A., Maliaris, G., Tilkeridis, K. E., Antoniou, A., Bandekas, D. V., & Mitrοpoulos, A. C. (2020) · Safety Science · doi:10.1016/j.ssci.2020.104870 · Cited by 90
Healthcare workers experience in dealing with Coronavirus (COVID-19) pandemic
Almaghrabi, R. H. D., Alfaradi, H., Hebshi, W. A. A., & Albaadani, M. M. (2020) · Saudi Medical Journal · doi:10.15537/smj.2020.6.25101 · Cited by 90
Mortazavi, F., & Ghardashi, F. (2021) · BMC Pregnancy and Childbirth · doi:10.1186/s12884-021-03691-y · Cited by 90
The role of 3D printing during COVID-19 pandemic: a review
Longhitano, G. A., Nunes, G. B., Candido, G., & da Silva, J. V. L. (2020) · Progress in Additive Manufacturing · doi:10.1007/s40964-020-00159-x · Cited by 90
Muzi, S., Sansò, A., & Pace, C. S. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.590543 · Cited by 102
Impact of the COVID‐19 Pandemic on Unhealthy Eating in Populations with Obesity
Ashby, N. J. S. (2020) · Obesity · doi:10.1002/oby.22940 · Cited by 87
Franco, I. D., Ortiz, C., Samper, J., & Millán, G. (2020) · Environment and Urbanization · doi:10.1177/0956247820944823 · Cited by 87
Social Media and Health Care (Part II): Narrative Review of Social Media Use by Patients
Farsi, D., Martínez‐Menchaca, H., Ahmed, M., & Farsi, N. J. (2021) · Journal of Medical Internet Research · doi:10.2196/30379 · Cited by 105
Psychiatric problems during the COVID ‐19 pandemic in children with autism spectrum disorder
Vasa, R. A., Singh, V., Holingue, C., Kalb, L. G., Jang, Y., & Keefer, A. J. (2021) · Autism Research · doi:10.1002/aur.2574 · Cited by 89
Brailovskaia, J., Cosci, F., Mansueto, G., & Margraf, J. (2021) · Journal of Affective Disorders Reports · doi:10.1016/j.jadr.2020.100067 · Cited by 84
COVID‐19 Increases Online Searches for Emotional and Health‐Related Terms
Du, H., Yang, J., King, R. B., Yang, L., & Chi, P. (2020) · Applied Psychology Health and Well-Being · doi:10.1111/aphw.12237 · Cited by 84
Reasons why self-directed learning is important in South African during the COVID-19 pandemic
Mahlaba, S. C. (2020) · South African Journal of Higher Education · doi:10.20853/34-6-4192 · Cited by 97
TV News and COVID-19: Media Influence on Healthy Behavior in Public Spaces
Scopelliti, M., Pacilli, M. G., & Aquino, A. (2021) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph18041879 · Cited by 90
The role of IS in the covid-19 pandemic: A liquid-modern perspective
Doyle, R., & Conboy, K. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102184 · Cited by 92
Breaking the chain: Governmental frugal innovation in Kerala to combat the COVID-19 pandemic
Sarkar, S. (2020) · Government Information Quarterly · doi:10.1016/j.giq.2020.101549 · Cited by 89
Healing the Healer: Protecting Emergency Health Care Workers’ Mental Health During COVID-19
Wong, A. H.-W., Pacella‐LaBarbara, M. L., Ray, J. M., Ranney, M. L., & Chang, B. (2020) · Annals of Emergency Medicine · doi:10.1016/j.annemergmed.2020.04.041 · Cited by 81
Analysis of Twitter Data Using Evolutionary Clustering during the COVID-19 Pandemic
Arpacı, İ., Shehabi, S. A., Al‐Emran, M., Khasawneh, M., Mahariq, I., Abdeljawad, T., & Hassanien, A. E. (2020) · Computers, materials & continua/Computers, materials & continua (Print) · doi:10.32604/cmc.2020.011489 · Cited by 81
Anger and confrontation during the COVID-19 pandemic: a national cross-sectional survey in the UK
Smith, L., Duffy, B., Moxham-Hall, V. L., Strang, L., Wessely, S. C., & Rubin, G. J. (2020) · Journal of the Royal Society of Medicine · doi:10.1177/0141076820962068 · Cited by 83
COVID-19 Misinformation on Social Media: A Scoping Review
Joseph, A. M., Fernández, V., Kritzman, S., Eaddy, I., Cook, O. M., Lambros, S., Silva, C. E. J., Arguelles, D., Abraham, C., Dorgham, N., et al. (2022) · Cureus · doi:10.7759/cureus.24601 · Cited by 97
Eibensteiner, F., Ritschl, V., Nawaz, F. A., Fazel, S. S., Tsagkaris, C., Kulnik, S. T., Crutzen, R., Klager, E., Völkl-Kernstock, S., Schaden, E., et al. (2021) · Journal of Medical Internet Research · doi:10.2196/28973 · Cited by 80
Adult learning and education as a tool to contain pandemics: The COVID-19 experience
Lopes, H., & McKay, V. (2020) · International review of education. Internationale Zeitschrift fur Erziehungswissenschaft. Revue internationale de pedagogie · doi:10.1007/s11159-020-09843-0 · Cited by 67
Mapping COVID-19: How web-based maps contribute to the infodemic
Mooney, P., & Juhász, L. (2020) · Dialogues in Human Geography · doi:10.1177/2043820620934926 · Cited by 77
COVID-19 Psychological Implications: The Role of Shame and Guilt
Cavalera, C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.571828 · Cited by 76
Metadata
- Authors
- Depoux, A., Martin, S., Karafillakis, E., Preet, R., Wilder-Smith, A., & Larson, H.
- Affiliations
- London School of Hygiene & Tropical Medicine (GB)
- Centre Virchow-Villerme, Paris, France
- Corresponding author
- Depoux, Anneliese
- Venue
- Journal of Travel Medicine
- Publisher
- Oxford University Press (OUP)
- Published
- 2020-03-03
- Volume
- 27
- Issue
- 3
- ISSN
- 1195-1982 (ISSN-L)
- 1708-8305
- PMC
- PMC7107516
- OpenAlex
- W3010571899
- Cited by
- 1,068
- References
- 8
- Citations by year
- 2026: 19 · 2025: 38 · 2024: 62 · 2023: 119 · 2022: 211 · 2021: 368 · 2020: 250
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Journal of Travel Medicine (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- LSHTM Research Online (London School of Hygiene and Tropical Medicine) (acceptedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Communication › Communication and COVID-19 Impact
- Health Sciences › Medicine › Epidemiology › Data-Driven Disease Surveillance
- Keywords
- COVID-19 pandemic, social media, misinformation, rumors, public health communication, real-time alerts, interactive dashboard, pandemic response, travel behavior, public perception
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Communication, Fear, Humans, Pneumonia, Viral, Coronavirus Infections, Information Dissemination, Pandemics, Social Media, Racism
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