How to fight an infodemic

Assessing the Role of Social Bots During the COVID-19 Pandemic: Infodemic, Disagreement, and Criticism

Suárez-Lledó, V., & Álvarez‐Gálvez, J. (2022) · Journal of Medical Internet Research · doi:10.2196/36085 · Cited by 34

A call for immediate action to increase COVID-19 vaccination uptake to prepare for the third pandemic winter

Betsch, C., Schmid, P., Verger, P., Lewandowsky, S., Soveri, A., Hertwig, R., Fasce, A., Holford, D. L., Raeve, P. D., Gagneur, A., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34995-y · Cited by 27

Health Literacy in Adults with Chronic Diseases in the Context of Community Health Nursing: A Scoping Review

Nock, A. M., Metzing, S., Jürgensen, I.-N., & Petersen‐Ewert, C. (2023) · Nursing Reports · doi:10.3390/nursrep13020072 · Cited by 29

Data’s Impact on Algorithmic Bias

Shin, D., & Shin, E. Y. (2023) · Computer · doi:10.1109/mc.2023.3262909 · Cited by 36

Towards human-AI collaborative urban science research enabled by pre-trained large language models

Fu, J., Han, H., Su, X., & Fan, C. H. (2024) · Urban Informatics · doi:10.1007/s44212-024-00042-y · Cited by 31

Guardians of truth? Fact-checking the ‘disinfodemic’ in Southern Africa during the COVID-19 pandemic

Mare, A., & Munoriyarwa, A. (2022) · Journal of African Media Studies · doi:10.1386/jams_00065_1 · Cited by 25

Perceptions of using infographics for scientific communication on social media for COVID-19 topics: a survey study

Lee, S. H., Pandya, R. K., Hussain, J., Lau, R., Chambers, E. A. B., Geng, A., Jin, B. X., Zhou, O., Wu, T., Barr, L., et al. (2022) · Journal of Visual Communication in Medicine · doi:10.1080/17453054.2021.2020625 · Cited by 31

Public policy and conspiracies: The case of mandates

Lewandowsky, S., Holford, D. L., & Schmid, P. (2022) · Current Opinion in Psychology · doi:10.1016/j.copsyc.2022.101427 · Cited by 24

Parental Acceptance of COVID-19 Vaccination for Children and Its Association With Information Sufficiency and Credibility in South Korea

Lee, M., Seo, S., Choi, S., Park, J. H., Kim, S., Choe, Y. J., Choi, E. H., Kwon, G., Shin, J. Y., Choi, S., et al. (2022) · JAMA Network Open · doi:10.1001/jamanetworkopen.2022.46624 · Cited by 25

Hesitação vacinal infantil e COVID-19: uma análise a partir da percepção dos profissionais de saúde

Souto, E. P., Fernández, M., Rosário, C. A., Petra, P. C., & Matta, G. C. (2024) · Cadernos de Saúde Pública · doi:10.1590/0102-311xpt061523 · Cited by 42

A systematic review of machine learning approaches for detecting deceptive activities on social media: methods, challenges, and biases

Liu, Y., Shen, X., Zhang, Y., Wang, Z., Tian, Y., Dai, J., & Cao, Y. (2025) · International Journal of Data Science and Analytics · doi:10.1007/s41060-025-00850-8 · Cited by 36

COVID-19 and health literacy: the yell of a silent epidemic amidst the pandemic

Cangussú, L. R., de Barros, I. R. P., Filho, C. A. D. L. B., Filho, J. D. R. S., & Lopes, M. R. (2020) · Revista da Associação Médica Brasileira · doi:10.1590/1806-9282.66.s2.31 · Cited by 32

COVID-19 SALGINI SÜRECİNDE EKSİKLİĞİ ORTAYA ÇIKAN BİR GERÇEK: SAĞLIK OKURYAZARLIĞI

AKBAL, E., & Gökler, M. E. (2020) · Eskişehir Türk Dünyası Uygulama ve Araştırma Merkezi Halk Sağlığı Dergisi · doi:10.35232/estudamhsd.763717 · Cited by 28

Creation, dissemination and mitigation: toward a disinformation behavior framework and model

Agarwal, N. K., & Alsaeedi, F. (2021) · Aslib Journal of Information Management · doi:10.1108/ajim-01-2021-0034 · Cited by 29

eHealth Literacy, Awareness of Pandemic Infectious Diseases, and Healthy Lifestyle in Middle School Students

Choi, S., Bang, K., & Shin, D.-A. (2021) · Children · doi:10.3390/children8080699 · Cited by 24

Characterization of Vaccine Tweets During the Early Stage of the COVID-19 Outbreak in the United States: Topic Modeling Analysis

Jiang, L., Chu, T. H., & Sun, M. (2021) · JMIR Infodemiology · doi:10.2196/25636 · Cited by 27

Health Care Providers’ Trusted Sources for Information About COVID-19 Vaccines: Mixed Methods Study

Brauer, E. R., Choi, K. R., Chang, J. M., Luo, Y., Lewin, B. J., Munoz‐Plaza, C. E., Bronstein, D. E., & Bruxvoort, K. J. (2021) · JMIR Infodemiology · doi:10.2196/33330 · Cited by 24

COVID-19 Vaccine Uptake among Younger Women in Rural Australia

Carter, J., Rutherford, S., & Borkoles, E. (2021) · Vaccines · doi:10.3390/vaccines10010026 · Cited by 20

Individual risk perception and empirical social structures shape the dynamics of infectious disease outbreaks

d’Andrea, V., Gallotti, R., Castaldo, N., & Domenico, M. D. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009760 · Cited by 26

Electronic health literacy among older adults in the context of the COVID‐19 pandemic: A mixed‐methods study

Liu, S., Wang, X. Q., Yang, B. X., Luo, D., Liu, Y., Fang, X. J., Ma, S., Kang, L., Huang, H., Lu, B., et al. (2022) · Journal of Nursing Management · doi:10.1111/jonm.13664 · Cited by 24

Trust in COVID ‐19 public health information

Verma, N., Fleischmann, K. R., Zhou, L., Xie, B., Lee, M. K., Rich, K., Shiroma, K., Jia, C., & Zimmerman, T. (2022) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24712 · Cited by 25

From pandemic to Plandemic: Examining the amplification and attenuation of COVID-19 misinformation on social media

Lee, E. W. J., Bao, H., Wang, Y., & Lim, Y. T. (2023) · Social Science & Medicine · doi:10.1016/j.socscimed.2023.115979 · Cited by 27

Misinformation, chiropractic, and the COVID-19 pandemic

Axén, I., Bergström, C., Bronson, M., Côté, P., Nim, C. G., Goncalves, G., Hébert, J. J., Hertel, J. A., Innes, S. I., Larsen, O. K., et al. (2020) · Chiropractic & Manual Therapies · doi:10.1186/s12998-020-00353-2 · Cited by 24

“Colonial Virus”: COVID-19, creative arts and public health communication in Ghana

Aikins, A. D., & Akoi-Jackson, B. (2020) · Ghana Medical Journal · doi:10.4314/gmj.v54i4s.13 · Cited by 24

Impact of the COVID-19 Pandemic on Chinese College Students’ Information Behavior and Library Needs: A Qualitative Study

Shi, Y., Li, C. J., & Luo, L. (2021) · The Library Quarterly · doi:10.1086/713051 · Cited by 26

Engaging with global urban governance in the midst of a crisis

Acuto, M. (2020) · Dialogues in Human Geography · doi:10.1177/2043820620934232 · Cited by 24

To what extent can telerehabilitation help patients in low- and middle-income countries?

Fernandes, L. G., & Saragiotto, B. T. (2020) · Brazilian Journal of Physical Therapy · doi:10.1016/j.bjpt.2020.11.004 · Cited by 24

Reliability and trust perception of users on social media posts related to the ongoing COVID-19 pandemic

Tayal, P., & Bharathi. S, V. (2021) · Journal of Human Behavior in the Social Environment · doi:10.1080/10911359.2020.1825254 · Cited by 23

SIMULATION TRAINING FOR HOSPITAL ADMISSION OF PATIENTS WITH COVID-19: ASSESSMENT OF NURSING PROFESSIONALS

dos Santos, K. B., Püschel, V. A. D. A., Luiz, F. S., Leite, I. C. G., Cavalcante, R. B., & Carbogim, F. D. C. (2021) · Texto & Contexto - Enfermagem · doi:10.1590/1980-265x-tce-2020-0569 · Cited by 23

The role of social media literacy in infodemic management: a systematic review

Ziapour, A., Malekzadeh, R., Darabı, F., Yıldırım, M., Montazeri, N., Kianipour, N., & NeJhaddadgar, N. (2024) · Frontiers in Digital Health · doi:10.3389/fdgth.2024.1277499 · Cited by 40

Under the COVID-19 lockdown: Rapid review about the unique case of North Cyprus.

Volkan, E., & Volkan, E. (2020) · Psychological Trauma Theory Research Practice and Policy · doi:10.1037/tra0000809 · Cited by 23

COVID-19 Communication Ecology: Visualizing Communication Resource Connections During a Public Health Emergency Using Network Analysis

Houston, J. B., Thorson, E., Kim, E. A., & Mantrala, M. K. (2021) · American Behavioral Scientist · doi:10.1177/0002764221992811 · Cited by 23

Optimism Bias, Pessimism Bias, Magical Beliefs, and Conspiracy Theory Beliefs Related to COVID-19 among the Jordanian Population

Hammad, A. M., Hamed, R., Al-Qerem, W. A., Bandar, A., & Hall, F. S. (2021) · American Journal of Tropical Medicine and Hygiene · doi:10.4269/ajtmh.20-1412 · Cited by 24

Learning from Each Other—A Bibliometric Review of Research on Information Disorders

Bran, R. A., Țîru, L. G., Grosseck, G., Holotescu, C., & Maliţa, L. (2021) · Sustainability · doi:10.3390/su131810094 · Cited by 29

Stigma, guilt and motherhood: Experiences of pregnant women with COVID-19 in Brazil

Freitas-Jesus, J. V., Sánchez, O. D. R., Rodrigues, L., Faria-Schützer, D. B., Serapilha, A. A. A., & Surita, F. G. (2021) · Women and Birth · doi:10.1016/j.wombi.2021.08.009 · Cited by 25

Overall and COVID-19-specific citation impact of highly visible COVID-19 media experts: bibliometric analysis

Ioannidis, J. P. A., Tezel, A., & Jagsi, R. (2021) · BMJ Open · doi:10.1136/bmjopen-2021-052856 · Cited by 23

Is the Global Pandemic Driving Me Crazy? The Relationship Between Personality Traits, Fear of Missing Out, and Social Media Fatigue During the COVID-19 Pandemic in Nigeria

Ashiru, J.-A., Oluwajana, D. I., & Biabor, O. S. (2022) · International Journal of Mental Health and Addiction · doi:10.1007/s11469-021-00723-8 · Cited by 23

Effects of Health Literacy in the Fight Against the COVID-19 Infodemic: The Case of Japan

Cheng, J., & Nishikawa, M. (2022) · Health Communication · doi:10.1080/10410236.2022.2065745 · Cited by 18

Validation of the COVID-19 Digital Health Literacy Instrument in the Italian Language: A Cross-Sectional Study of Italian University Students

Lorini, C., Velasco, V., Bonaccorsi, G., Dadaczynski, K., Okan, O., Zanobini, P., & Vecchio, L. P. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19106247 · Cited by 26

Individual-level social capital and COVID-19 vaccine hesitancy in Japan: a cross-sectional study

Machida, M., Kikuchi, H., Kojima, T., Nakamura, I., Saito, R., Nakaya, T., Hanibuchi, T., Takamiya, T., Odagiri, Y., Fukushima, N., et al. (2022) · Human Vaccines & Immunotherapeutics · doi:10.1080/21645515.2022.2086773 · Cited by 23

Applications of machine learning for COVID-19 misinformation: a systematic review

Sanaullah, A. R., Das, A., Das, A., Kabir, M. A., & Shu, K. (2022) · Social Network Analysis and Mining · doi:10.1007/s13278-022-00921-9 · Cited by 28

Access to Health-Related Information, Health Services, and Welfare Services among South and Southeast Asian Immigrants in Japan: A Qualitative Study

Matsuoka, S., Kharel, M., Koto‐Shimada, K., Hashimoto, M., Kiyohara, H., Iwamoto, A., Nishihara, M., & Fujita, M. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph191912234 · Cited by 24

What predicts people’s belief in COVID-19 misinformation? A retrospective study using a nationwide online survey among adults residing in the United States

Kim, S., Capasso, A., Ali, S. H., Headley, T. Y., DiClemente, R. J., & Tozan, Y. (2022) · BMC Public Health · doi:10.1186/s12889-022-14431-y · Cited by 26

Digital and computational demography

Kashyap, R., Rinderknecht, R. G., Akbaritabar, A., Alburez‐Gutierrez, D., Gil‐Clavel, S., Grow, A., Kim, J., Leasure, D. R., Lohmann, S., Negraia, D. V., et al. (2023) · Edward Elgar Publishing eBooks · doi:10.4337/9781789906769.00010 · Cited by 26

Movement and risk perception: evidence from spatial analysis of mobile phone-based mobility during the COVID-19 lockdown, Nigeria

Lawal, O., & Nwegbu, C. (2020) · GeoJournal · doi:10.1007/s10708-020-10331-z · Cited by 23

An energizing role for motivation in information-seeking during the early phase of the COVID-19 pandemic

Abir, Y., Marvin, C. B., van Geen, C., Leshkowitz, M., Hassin, R. R., & Shohamy, D. (2022) · Nature Communications · doi:10.1038/s41467-022-30011-5 · Cited by 22

Retractions and post-retraction citations in the COVID-19 infodemic

Santos-d’Amorim, K., de Melo, R. R., & dos Santos, R. N. M. (2021) · Liinc em Revista · doi:10.18617/liinc.v17i1.5593 · Cited by 20

Misinformation and Algorithmic Bias

Shin, D. (2024) · Springer eBooks · doi:10.1007/978-3-031-52569-8_2 · Cited by 25

COVID-19: Wissensstand, Risikowahrnehmung und Umgang mit der Pandemie

Führer, A., Frese, T., Karch, A., Mau, W., Meyer, G., Richter, M., Schildmann, J., Steckelberg, A., Wagner, K., & Mikolajczyk, R. (2020) · Zeitschrift für Evidenz Fortbildung und Qualität im Gesundheitswesen · doi:10.1016/j.zefq.2020.06.002 · Cited by 22

Pre-pandemic cognitive function and COVID-19 mortality: prospective cohort study

Batty, G. D., Deary, I. J., & Galé, C. R. (2021) · European Journal of Epidemiology · doi:10.1007/s10654-021-00743-7 · Cited by 22

A study of Chinese college students' COVID-19-related information needs and seeking behavior

Huang, K., Hao, X., Guo, M., Deng, J., & Li, L. (2021) · Aslib Journal of Information Management · doi:10.1108/ajim-10-2020-0307 · Cited by 24

Injecting disinformation into public space: pseudo-media and reality-altering narratives

Palau-Sampio, D., & Carratalá, A. (2022) · El Profesional de la Informacion · doi:10.3145/epi.2022.may.12 · Cited by 22

Bots’ Activity on COVID-19 Pro and Anti-Vaccination Networks: Analysis of Spanish-Written Messages on Twitter

Ruíz-Núñez, C., Segado-Fernández, S., Jiménez-Gómez, B., Hidalgo, P. J. J., Magdalena, C. S. R., Pollo, M. D. C. Á., García, A. S., & Herrera‐Peco, I. (2022) · Vaccines · doi:10.3390/vaccines10081240 · Cited by 22

How coordinated link sharing behavior and partisans’ narrative framing fan the spread of COVID-19 misinformation and conspiracy theories

Gruzd, A. A., Mai, P., & Soares, F. B. (2022) · Social Network Analysis and Mining · doi:10.1007/s13278-022-00948-y · Cited by 22

The influence of social media affordances on drug dealer posting behavior across multiple social networking sites (SNS)

Haupt, M. R., Cuomo, R. E., Li, J., Nali, M. C., & Mackey, T. K. (2022) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2022.100235 · Cited by 25

Do knowledge and attitudes matter for preventive behavioral practices toward the COVID-19? A cross-sectional online survey among the adult population in Bangladesh

Hossain, M. B., Alam, M. Z., Islam, M. S., Sultan, S., Faysal, M. M., Rima, S., Hossain, M. A., Mahmood, M. M., Kashfi, S. S., Mamun, A. A., et al. (2020) · Heliyon · doi:10.1016/j.heliyon.2020.e05799 · Cited by 22

A Report on Statistics of an Online Self-screening Platform for COVID-19 and Its Effectiveness in Iran

Azadnajafabad, S., Moghaddam, S. S., Rezaei, N., Ghasemi, E., Naderimagham, S., Azmin, M., Mohammadi, E., Jamshidi, K., Fattahi, N., Zokaei, H., et al. (2021) · International Journal of Health Policy and Management · doi:10.34172/ijhpm.2020.252 · Cited by 24

Exploring the Influence of Interactive and Empathetic Chatbots on Health Misinformation Correction and Vaccination Intentions

Gong, Z., & Su, L. Y.-F. (2024) · Science Communication · doi:10.1177/10755470241280986 · Cited by 22

Assessment of knowledge and attitude of healthcare professionals towards Mpox in a Nigerian hospital

Orok, E. N., Adele, G., Oni, O. I., Adelusi, A. M., Bamitale, T. D., Jaiyesimi, B., Saka, A., & Apara, T. (2024) · Scientific Reports · doi:10.1038/s41598-024-79396-x · Cited by 21

Academic Library COVID-19 Subject Guides

Fraser-Arnott, M. (2020) · The Reference Librarian · doi:10.1080/02763877.2020.1862021 · Cited by 27

Characteristics of the Measurement Tools for Assessing Health Information–Seeking Behaviors in Nationally Representative Surveys: Systematic Review

Choi, H., & Jeong, G. (2021) · Journal of Medical Internet Research · doi:10.2196/27539 · Cited by 21

Public Information, Traditional Media and Social Networks during the COVID-19 Crisis in Spain

Fernández, A. B., Martín, S. A., & García, R. R. (2021) · Sustainability · doi:10.3390/su13126534 · Cited by 33

Pandemic platform governance: Mapping the global ecosystem of COVID-19 response apps

Dieter, M., Helmond, A., Tkacz, N., van der Vlist, F., & Weltevrede, E. (2021) · Internet Policy Review · doi:10.14763/2021.3.1568 · Cited by 21

Public libraries’ responses to a global pandemic: Bangladesh perspectives

Begum, D., Roknuzzaman, M., & Shobhanee, M. E. (2021) · IFLA Journal · doi:10.1177/03400352211041138 · Cited by 21

Testing the Generalization of Neural Language Models for COVID-19 Misinformation Detection

Wahle, J. P., Kumar, N. A., Ruas, T., Meuschke, N., Ghosal, T., & Gipp, B. (2022) · Lecture notes in computer science · doi:10.1007/978-3-030-96957-8_33 · Cited by 21

Misinformation: an empirical study with scientists and communicators during the COVID-19 pandemic

Parker, L., Byrne, J. A., Goldwater, M. B., & Enfield, N. J. (2021) · BMJ Open Science · doi:10.1136/bmjos-2021-100188 · Cited by 25

Assessment of General Populations Knowledge, Attitude, and Perceptions Toward the Coronavirus Disease (COVID-19): A Cross-Sectional Study From Pakistan

Khattak, S., Khan, M., Usman, Τ., Ali, J., Wu, D., Jahangir, M., Haleem, K. S., Muhammad, P., Rauf, M. A., Saddique, K., et al. (2021) · Frontiers in Medicine · doi:10.3389/fmed.2021.747819 · Cited by 21

Consumers' threat and coping appraisals of in-restaurant dining during a pandemic – The moderating roles of conflicting information and trust-in-science and scientists

Byrd, K., Her, E., Fan, A., Liu, Y., & Leitch, S. (2022) · International Journal of Hospitality Management · doi:10.1016/j.ijhm.2022.103186 · Cited by 21

How Media Exposure, Media Trust, and Media Bias Perception Influence Public Evaluation of COVID-19 Pandemic in International Metropolises

Han, R., Xu, J., & Pan, D. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19073942 · Cited by 27

The Intertwining of the Covid-19 Pandemic with Democracy Backlash: Making Sense of Journalism in Crisis

Pajnik, M., & Hrženjak, M. (2022) · Journalism Practice · doi:10.1080/17512786.2022.2077806 · Cited by 21

Developing a framework for understanding health information behavior change from avoidance to acquisition: a grounded theory exploration

Sun, H., Li, J., Cheng, Y., Pan, X., Liu, S., & Hua, W. (2022) · BMC Public Health · doi:10.1186/s12889-022-13522-0 · Cited by 23

Knowledge, Attitude, and Perception of Cancer Patients towards COVID-19 in Pakistan: A Cross-Sectional Study

Khattak, S., Faheem, M., Nawaz, B., Khan, M., Khan, N. H., Ullah, N., Khan, T. A., Khan, R. U., Haleem, K. S., Ren, Z., et al. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19137926 · Cited by 25

Panic buying and fake news in urban vs. rural England: A case study of twitter during COVID-19

Ali, M., Gomes, L. M., Azab, N., Souza, J. G. D. M., Sorour, M. K., & Kimura, H. (2023) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2023.122598 · Cited by 22

Prevalence of long COVID decreases for increasing COVID-19 vaccine uptake

Domenico, M. D. (2023) · PLOS Global Public Health · doi:10.1371/journal.pgph.0001917 · Cited by 22

The quality of information provided by the most popular dementia videos on TikTok

Lukić, S., & Petrović, J. (2023) · Frontiers in Public Health · doi:10.3389/fpubh.2023.1266415 · Cited by 21

Social media as a public health tool during the UK mpox outbreak: a qualitative study of stakeholders experiences

García-Iglesias, J., May, T., Pickersgill, M. D., Williams, J. B., Nagington, M., Buijsen, S., McHugh, C., & Horwood, J. P. (2023) · BMJ Public Health · doi:10.1136/bmjph-2023-000407 · Cited by 21

Bridging the Gap Between UK Government Strategic Narratives and Public Opinion/Behavior: Lessons From COVID-19

Dagnall, N., Drinkwater, K. G., Denovan, A., & Walsh, R. S. (2020) · Frontiers in Communication · doi:10.3389/fcomm.2020.00071 · Cited by 21

Risk Communication Effectiveness During COVID-19 Pandemic Among General Population in Saudi Arabia

Almuzaini, Y. S., Mushi, A., Aburas, A., Yassin, Y. M., Alamri, F. A., Alahmari, A., Yezli, S., Khan, A. A., & Jokhdar, H. (2021) · Risk Management and Healthcare Policy · doi:10.2147/rmhp.s294885 · Cited by 22

Research on Influencing Factors and Dimensions of Health Literacy in Different Age Groups: Before and After the COVID-19 Era in Chongqing, China

Yang, P., Ou, Y., Yang, H., Pei, X., Li, J., Wang, Y., Tan, F., Zhao, X., & Liu, W. (2021) · Frontiers in Public Health · doi:10.3389/fpubh.2021.690525 · Cited by 21

Role of Infodemics on Social Media in the Development of People’s Readiness to Follow COVID-19 Preventive Measures

Dutta, B., Peng, M.-H., Chen, C.-C., & Sun, S.-L. (2022) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph19031347 · Cited by 22

Delineating privacy aspects of COVID tracing applications embedded with proximity measurement technologies & digital technologies

Saheb, T., Sabour, E., Qanbary, F., & Saheb, T. (2021) · Technology in Society · doi:10.1016/j.techsoc.2022.101968 · Cited by 22

Reply to: “Current smoking is not associated with COVID-19”

Leung, J. M., Yang, C. X., & Sin, D. D. (2020) · European Respiratory Journal · doi:10.1183/13993003.01340-2020 · Cited by 21

COVID-19 Vaccine Hesitancy: A Content Analysis of Nigerian YouTube Videos

Sadiq, M., Croucher, S. M., & Dutta, D. (2023) · Vaccines · doi:10.3390/vaccines11061057 · Cited by 20

Profiles of digital health literacy among university students and its association with mental health during the COVID-19 pandemic: A latent profile analysis

Ning, L., Zhou, Z., Liu, M., Gao, S. B., Yang, X., Bi, J., Yu, X., & Yi, D. (2024) · Digital Health · doi:10.1177/20552076231224596 · Cited by 25

Infodemia, la otra pandemia durante la enfermedad por coronavirus 2019

Arroyo-Sánchez, A. S., Paredes, J. E. C., & Vallejos, M. P. C. (2020) · Anales de la Facultad de Medicina · doi:10.15381/anales.v81i2.17793 · Cited by 36

COVID-19: A New Challenge for Pulmonary Rehabilitation?

Kołodziej, M., Wyszyńska, J., & Bal-Bocheńska, M. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10153361 · Cited by 21

Effects of Social Media Use for Health Information on COVID-19–Related Risk Perceptions and Mental Health During Pregnancy: Web-Based Survey

Wang, Q., Xie, L., Song, B., Di, J., Wang, L., & Mo, P. K. H. (2021) · JMIR Medical Informatics · doi:10.2196/28183 · Cited by 22

The pursuit of relevance and impact: A review of the immediate response of the information systems field to COVID ‐19

Karanasios, S. (2021) · Information Systems Journal · doi:10.1111/isj.12372 · Cited by 20

Exploring Distrust in the Wait and See: Lessons for Vaccine Communication

Palmedo, P. C., Rauh, L. D., Lathan, H. S., & Ratzan, S. C. (2021) · American Behavioral Scientist · doi:10.1177/00027642211062865 · Cited by 20

Patient Telemedicine Perceptions During the COVID-19 Pandemic Within a Multi-State Medical Institution: Qualitative Study

Sharma, P., Sinicrope, A. R., Sinicrope, P. S., Brockman, T. A., Reinicke, N. M., West, I. W., Wiepert, L. M., Glasgow, A. E., Sangaralingham, L. R., Holland, A., et al. (2022) · JMIR Formative Research · doi:10.2196/37012 · Cited by 20

Impact of correcting misinformation on social disruption

Iizuka, R., Toriumi, F., Nishiguchi, M., Takano, M., & Yoshida, M. (2022) · PLoS ONE · doi:10.1371/journal.pone.0265734 · Cited by 29

Fake news during the pandemic times: A Systematic Literature Review using PRISMA

Awan, T. M., Aziz, M., Sharif, A., Ch, T. R., Jasam, T., & Alvi, Y. (2022) · Open Information Science · doi:10.1515/opis-2022-0131 · Cited by 20

A Web Tool to Help Counter the Spread of Misinformation and Fake News: Pre-Post Study Among Medical Students to Increase Digital Health Literacy

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